{"id":1522,"date":"2025-07-08T07:19:23","date_gmt":"2025-07-08T07:19:23","guid":{"rendered":"https:\/\/www.skilr.com\/tutorial\/?page_id=1522"},"modified":"2025-07-08T07:20:05","modified_gmt":"2025-07-08T07:20:05","slug":"aws-certified-data-engineer-associate-dea-c01","status":"publish","type":"page","link":"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/","title":{"rendered":"AWS Certified Data Engineer \u2013 Associate (DEA-C01)"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-1024x576.jpg\" alt=\"AWS Certified Data Engineer \u2013 Associate (DEA-C01)\" class=\"wp-image-1524\" srcset=\"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-1024x576.jpg 1024w, https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-300x169.jpg 300w, https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-scaled.jpg 1000w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n<p>The AWS Certified Data Engineer \u2013 Associate (DEA-C01) certification is designed to validate a candidate\u2019s expertise in designing, building, and maintaining data processing solutions on AWS. It emphasizes core competencies such as data ingestion, transformation, orchestration, pipeline monitoring, cost optimization, and data governance.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>&#8211; Key Skills Validated<\/strong><\/h3>\n\n\n\n<p>Candidates who pass the DEA-C01 exam demonstrate proficiency in the following areas:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data Ingestion &amp; Transformation:<\/strong> Design and implement data workflows that effectively ingest and transform data using programming best practices.<\/li>\n\n\n\n<li><strong>Pipeline Orchestration &amp; Automation:<\/strong> Build scalable and automated data pipelines, ensuring performance optimization and operational efficiency.<\/li>\n\n\n\n<li><strong>Storage &amp; Data Modeling:<\/strong> Select the most appropriate data stores, define efficient data models, and manage schema catalogs and lifecycle policies.<\/li>\n\n\n\n<li><strong>Monitoring &amp; Troubleshooting:<\/strong> Maintain, monitor, and troubleshoot data pipelines to resolve issues proactively.<\/li>\n\n\n\n<li><strong>Data Security &amp; Governance:<\/strong> Implement robust data protection mechanisms, including authentication, encryption, logging, and compliance controls.<\/li>\n\n\n\n<li><strong>Data Quality &amp; Analysis:<\/strong> Analyze data quality metrics and ensure consistency and reliability across the data infrastructure.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>&#8211; Ideal Candidate Profile<\/strong><\/h3>\n\n\n\n<p>The exam is intended for individuals with:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>2\u20133 years of industry experience in data engineering, with a strong grasp of the complexities introduced by data volume, variety, and velocity.<\/li>\n\n\n\n<li>1\u20132 years of hands-on experience with AWS services, specifically those used for data storage, processing, governance, and analytics.<\/li>\n\n\n\n<li>A thorough understanding of how to design data architectures that meet operational, security, and analytical requirements.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>&#8211; Recommended General IT Knowledge<\/strong><\/h3>\n\n\n\n<p>To be well-prepared for this exam, candidates should be familiar with:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Designing and maintaining ETL (Extract, Transform, Load) pipelines from source to destination.<\/li>\n\n\n\n<li>Applying language-agnostic programming principles within data workflows.<\/li>\n\n\n\n<li>Version control using Git for collaborative development and maintenance.<\/li>\n\n\n\n<li>Utilizing data lakes for scalable and cost-effective storage.<\/li>\n\n\n\n<li>Foundational knowledge in networking, compute, and storage concepts.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>&#8211; Recommended AWS Knowledge<\/strong><\/h3>\n\n\n\n<p>A successful candidate should have hands-on expertise with AWS services and be able to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Apply AWS tools and services to perform key tasks such as ingestion, transformation, storage selection, lifecycle management, and data security.<\/li>\n\n\n\n<li>Use AWS services for encryption, compliance, and access control in data engineering workflows.<\/li>\n\n\n\n<li>Compare and contrast AWS offerings based on performance, cost-efficiency, and capabilities to choose the right service for the job.<\/li>\n\n\n\n<li>Construct and execute SQL queries within AWS data services.<\/li>\n\n\n\n<li>Analyze datasets using AWS analytics services and validate data quality for consistency and accuracy.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Exam Details<\/strong><\/h2>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"397\" src=\"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/Screenshot-2025-07-08-121147.png\" alt=\"AWS Certified Data Engineer \u2013 Associate (DEA-C01)\" class=\"wp-image-1526\" srcset=\"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/Screenshot-2025-07-08-121147.png 900w, https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/Screenshot-2025-07-08-121147-300x132.png 300w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/figure>\n<\/div>\n\n\n<p>The AWS Certified Data Engineer (<a href=\"https:\/\/www.skilr.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">DEA-C01<\/a>) is an associate-level certification designed to validate expertise in building and managing data pipelines and related workflows on AWS. The exam has a total duration of 130 minutes and consists of 65 questions, presented in either multiple choice or multiple response format.<\/p>\n\n\n\n<p>Candidates can take the exam through a Pearson VUE testing center or opt for the online proctored format, depending on their convenience. The exam is available in English, Japanese, Korean, and Simplified Chinese. The DEA-C01 exam is scored on a scaled range of 100 to 1,000, with a minimum passing score of 720. The result is provided as a pass or fail designation, based on the scaled score achieved.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Course Outline<\/strong><\/h2>\n\n\n\n<p>The exam covers the following topics: <\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>1. Understand Data Ingestion and Transformation<\/strong><\/h4>\n\n\n\n<p>Task Statement 1.1: Performing data ingestion.<\/p>\n\n\n\n<p>Knowledge of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Learn about throughput and latency characteristics for AWS services that ingest data<\/li>\n\n\n\n<li>Data ingestion patterns (for example, frequency and data history)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/aws-cloud-data-ingestion-patterns-practices\/data-ingestion-patterns.html\" target=\"_blank\" rel=\"noreferrer noopener\">Data ingestion patterns<\/a>)<\/li>\n\n\n\n<li>Streaming data ingestion\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/redshift\/latest\/dg\/materialized-view-streaming-ingestion.html\" target=\"_blank\" rel=\"noreferrer noopener\">Streaming ingestion<\/a>)<\/li>\n\n\n\n<li>Batch data ingestion (for example, scheduled ingestion, event-driven ingestion)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/building-data-lakes\/data-ingestion-methods.html\" target=\"_blank\" rel=\"noreferrer noopener\">Data ingestion methods<\/a>)<\/li>\n\n\n\n<li>Replayability of data ingestion pipelines<\/li>\n\n\n\n<li>Stateful and stateless data transactions<\/li>\n<\/ul>\n\n\n\n<p>Skills in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reading data from streaming sources (for example, Amazon Kinesis, Amazon Managed Streaming for Apache Kafka [Amazon MSK], Amazon DynamoDB Streams, AWS Database Migration Service [AWS DMS], AWS Glue, Amazon Redshift)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/glue\/latest\/dg\/add-job-streaming.html\" target=\"_blank\" rel=\"noreferrer noopener\">Streaming ETL jobs in AWS Glue<\/a>)<\/li>\n\n\n\n<li>Reading data from batch sources (for example, Amazon S3, AWS Glue, Amazon EMR, AWS DMS, Amazon Redshift, AWS Lambda, Amazon AppFlow)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/redshift\/latest\/dg\/tutorial-loading-data.html\" target=\"_blank\" rel=\"noreferrer noopener\">Loading data from Amazon S3<\/a>)<\/li>\n\n\n\n<li>Implementing appropriate configuration options for batch ingestion<\/li>\n\n\n\n<li>Consuming data APIs\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/redshift\/latest\/mgmt\/data-api.html\" target=\"_blank\" rel=\"noreferrer noopener\">Using the Amazon Redshift Data API<\/a>)<\/li>\n\n\n\n<li>Setting up schedulers by using Amazon EventBridge, Apache Airflow, or time-based schedules for jobs and crawlers\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/glue\/latest\/dg\/monitor-data-warehouse-schedule.html\" target=\"_blank\" rel=\"noreferrer noopener\">Time-based schedules for jobs and crawlers<\/a>)<\/li>\n\n\n\n<li>Setting up event triggers (for example, Amazon S3 Event Notifications, EventBridge)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/EventBridge.html\" target=\"_blank\" rel=\"noreferrer noopener\">Using EventBridge<\/a>)<\/li>\n\n\n\n<li>Calling a Lambda function from Amazon Kinesis\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/lambda\/latest\/dg\/with-kinesis-example.html\" target=\"_blank\" rel=\"noreferrer noopener\">Using Lambda with Kinesis Data Streams<\/a>)<\/li>\n\n\n\n<li>Creating allowlists for IP addresses to allow connections to data sources\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/dtconsole\/latest\/userguide\/connections-ip-address.html\" target=\"_blank\" rel=\"noreferrer noopener\">IP addresses to add to your allow list<\/a>)<\/li>\n\n\n\n<li>Implementing throttling and overcoming rate limits (for example, DynamoDB, Amazon RDS, Kinesis)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/amazondynamodb\/latest\/developerguide\/TroubleshootingThrottling.html\" target=\"_blank\" rel=\"noreferrer noopener\">Throttling issues for DynamoDB tables using provisioned capacity mode<\/a>)<\/li>\n\n\n\n<li>Managing fan-in and fan-out for streaming data distribution\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/streams\/latest\/dev\/building-enhanced-consumers-api.html\" target=\"_blank\" rel=\"noreferrer noopener\">Developing Enhanced Fan-Out Consumers with the Kinesis Data Streams API<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Task Statement 1.2: Transforming and processing data.<\/p>\n\n\n\n<p>Knowledge of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Creation of ETL pipelines based on business requirements\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/prescriptive-guidance\/latest\/patterns\/build-an-etl-service-pipeline-to-load-data-incrementally-from-amazon-s3-to-amazon-redshift-using-aws-glue.html\" target=\"_blank\" rel=\"noreferrer noopener\">Build an ETL service pipeline<\/a>)<\/li>\n\n\n\n<li>Volume, velocity, and variety of data (for example, structured data, unstructured data)<\/li>\n\n\n\n<li>Cloud computing and distributed computing\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/aws-overview\/what-is-cloud-computing.html\" target=\"_blank\" rel=\"noreferrer noopener\">What is cloud computing?<\/a>,\u00a0<a href=\"https:\/\/aws.amazon.com\/what-is\/distributed-computing\/\" target=\"_blank\" rel=\"noreferrer noopener\">What is Distributed Computing?<\/a>)<\/li>\n\n\n\n<li>How to use Apache Spark to process data\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/emr\/latest\/ReleaseGuide\/emr-spark.html\" target=\"_blank\" rel=\"noreferrer noopener\">Apache Spark<\/a>)<\/li>\n\n\n\n<li>Intermediate data staging locations<\/li>\n<\/ul>\n\n\n\n<p>Skills in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Optimizing container usage for performance needs (for example, Amazon Elastic Kubernetes Service [Amazon EKS], Amazon Elastic Container Service [Amazon ECS])<\/li>\n\n\n\n<li>Connecting to different data sources (for example, Java Database Connectivity [JDBC], Open Database Connectivity [ODBC])\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/athena\/latest\/ug\/athena-bi-tools-jdbc-odbc.html\" target=\"_blank\" rel=\"noreferrer noopener\">Connecting to Amazon Athena with ODBC and JDBC drivers<\/a>)<\/li>\n\n\n\n<li>Integrating data from multiple sources\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/aws.amazon.com\/what-is\/data-integration\/\" target=\"_blank\" rel=\"noreferrer noopener\">What is Data Integration?<\/a>)<\/li>\n\n\n\n<li>Optimizing costs while processing data\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/analytics-lens\/cost-optimization.html#:~:text=Choose%20the%20right%20solution%20and,can%20be%20removed%20or%20downsized.\" target=\"_blank\" rel=\"noreferrer noopener\">Cost optimization<\/a>)<\/li>\n\n\n\n<li>Implementing data transformation services based on requirements (for example, Amazon EMR, AWS Glue, Lambda, Amazon Redshift)<\/li>\n\n\n\n<li>Transforming data between formats (for example, from .csv to Apache Parquet)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/prescriptive-guidance\/latest\/patterns\/three-aws-glue-etl-job-types-for-converting-data-to-apache-parquet.html\" target=\"_blank\" rel=\"noreferrer noopener\">Three AWS Glue ETL job types for converting data to Apache Parquet<\/a>)<\/li>\n\n\n\n<li>Troubleshooting and debugging common transformation failures and performance issues\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/awssupport\/latest\/user\/troubleshooting.html\" target=\"_blank\" rel=\"noreferrer noopener\">Troubleshooting resources<\/a>)<\/li>\n\n\n\n<li>Creating data APIs to make data available to other systems by using AWS services\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/AmazonRDS\/latest\/AuroraUserGuide\/data-api.html\" target=\"_blank\" rel=\"noreferrer noopener\">Using RDS Data API<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Task Statement 1.3: Orchestrating data pipelines.<\/p>\n\n\n\n<p>Knowledge of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>How to integrate various AWS services to create ETL pipelines<\/li>\n\n\n\n<li>Event-driven architecture\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/lambda\/latest\/operatorguide\/event-driven-architectures.html\" target=\"_blank\" rel=\"noreferrer noopener\">Event-driven architectures<\/a>)<\/li>\n\n\n\n<li>How to configure AWS services for data pipelines based on schedules or dependencies\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/datapipeline\/latest\/DeveloperGuide\/what-is-datapipeline.html\" target=\"_blank\" rel=\"noreferrer noopener\">What is AWS Data Pipeline?<\/a>)<\/li>\n\n\n\n<li>Serverless workflows<\/li>\n<\/ul>\n\n\n\n<p>Skills in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Using orchestration services to build workflows for data ETL pipelines (for example, Lambda, EventBridge, Amazon Managed Workflows for Apache Airflow [Amazon MWAA], AWS Step Functions, AWS Glue workflows)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/step-functions\/latest\/dg\/migrate-pipeline-workloads.html\" target=\"_blank\" rel=\"noreferrer noopener\">Migrating workloads from AWS Data Pipeline to Step Functions<\/a>,\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/best-practices-building-data-lake-for-games\/workflow-orchestration.html\" target=\"_blank\" rel=\"noreferrer noopener\">Workflow orchestration<\/a>)<\/li>\n\n\n\n<li>Building data pipelines for performance, availability, scalability, resiliency, and fault tolerance\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/aws-glue-best-practices-build-secure-data-pipeline\/building-a-reliable-data-pipeline.html\" target=\"_blank\" rel=\"noreferrer noopener\">Building a reliable data pipeline<\/a>)<\/li>\n\n\n\n<li>Implementing and maintaining serverless workflows\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/serverless\/latest\/devguide\/serverless-dev-workflow.html\" target=\"_blank\" rel=\"noreferrer noopener\">Developing with a serverless workflow<\/a>)<\/li>\n\n\n\n<li>Using notification services to send alerts (for example, Amazon Simple Notification Service [Amazon SNS], Amazon Simple Queue Service [Amazon SQS])\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/sns\/latest\/dg\/sns-getting-started.html\" target=\"_blank\" rel=\"noreferrer noopener\">Getting started with Amazon SNS<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Task Statement 1.4: Applying programming concepts.<\/p>\n\n\n\n<p>Knowledge of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Continuous integration and continuous delivery (CI\/CD) (implementation, testing, and deployment of data pipelines)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/codepipeline\/latest\/userguide\/concepts-continuous-delivery-integration.html\" target=\"_blank\" rel=\"noreferrer noopener\">Continuous delivery and continuous integration<\/a>)<\/li>\n\n\n\n<li>SQL queries (for data source queries and data transformations)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/glue\/latest\/dg\/transforms-sql.html\" target=\"_blank\" rel=\"noreferrer noopener\">Using a SQL query to transform data<\/a>)<\/li>\n\n\n\n<li>Infrastructure as code (IaC) for repeatable deployments (for example, AWS Cloud Development Kit [AWS CDK], AWS CloudFormation)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/introduction-devops-aws\/infrastructure-as-code.html\" target=\"_blank\" rel=\"noreferrer noopener\">Infrastructure as code<\/a>)<\/li>\n\n\n\n<li>Distributed computing\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/aws.amazon.com\/what-is\/distributed-computing\/\" target=\"_blank\" rel=\"noreferrer noopener\">What is Distributed Computing?<\/a>)<\/li>\n\n\n\n<li>Data structures and algorithms (for example, graph data structures and tree data structures)<\/li>\n\n\n\n<li>SQL query optimization<\/li>\n<\/ul>\n\n\n\n<p>Skills in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Optimizing code to reduce runtime for data ingestion and transformation\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/serverless-applications-lens\/code-optimization.html\" target=\"_blank\" rel=\"noreferrer noopener\">Code optimization<\/a>)<\/li>\n\n\n\n<li>Configuring Lambda functions to meet concurrency and performance needs\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/lambda\/latest\/dg\/lambda-concurrency.html\" target=\"_blank\" rel=\"noreferrer noopener\">Understanding Lambda function scaling<\/a>,\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/lambda\/latest\/dg\/configuration-concurrency.html\" target=\"_blank\" rel=\"noreferrer noopener\">Configuring reserved concurrency for a function<\/a>)<\/li>\n\n\n\n<li>Performing SQL queries to transform data (for example, Amazon Redshift stored procedures)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/redshift\/latest\/dg\/stored-procedure-create.html\" target=\"_blank\" rel=\"noreferrer noopener\">Overview of stored procedures in Amazon Redshift<\/a>)<\/li>\n\n\n\n<li>Structuring SQL queries to meet data pipeline requirements<\/li>\n\n\n\n<li>Using Git commands to perform actions such as creating, updating, cloning, and branching repositories\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/codecommit\/latest\/userguide\/how-to-basic-git.html\" target=\"_blank\" rel=\"noreferrer noopener\">Basic Git commands<\/a>)<\/li>\n\n\n\n<li>Using the AWS Serverless Application Model (AWS SAM) to package and deploy serverless data pipelines (for example, Lambda functions, Step Functions, DynamoDB tables)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/serverless-application-model\/latest\/developerguide\/what-is-sam.html\" target=\"_blank\" rel=\"noreferrer noopener\">What is the AWS Serverless Application Model (AWS SAM)?<\/a>)<\/li>\n\n\n\n<li>Using and mounting storage volumes from within Lambda functions\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/lambda\/latest\/dg\/configuration-filesystem.html\" target=\"_blank\" rel=\"noreferrer noopener\">Configuring file system access for Lambda functions<\/a>)<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>2. Learn About Data Store Management<\/strong><\/h4>\n\n\n\n<p>Task Statement 2.1: Choosing a data store.<\/p>\n\n\n\n<p>Knowledge of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Storage platforms and their characteristics\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/aws-overview\/storage-services.html\" target=\"_blank\" rel=\"noreferrer noopener\">Storage<\/a>)<\/li>\n\n\n\n<li>Storage services and configurations for specific performance demands<\/li>\n\n\n\n<li>Data storage formats (for example, .csv, .txt, Parquet)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/glue\/latest\/dg\/aws-glue-programming-etl-format.html\" target=\"_blank\" rel=\"noreferrer noopener\">Data format options for inputs and outputs in AWS Glue for Spark<\/a>)<\/li>\n\n\n\n<li>How to align data storage with data migration requirements\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/overview-aws-cloud-data-migration-services\/aws-managed-migration-tools.html\" target=\"_blank\" rel=\"noreferrer noopener\">AWS managed migration tools<\/a>)<\/li>\n\n\n\n<li>How to determine the appropriate storage solution for specific access patterns\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/analytics-lens\/best-practice-9.3---choose-the-optimal-storage-based-on-access-patterns-data-growth-and-the-performance-metrics..html\" target=\"_blank\" rel=\"noreferrer noopener\">Choose the optimal storage based on access patterns, data growth, and the performance requirements<\/a>)<\/li>\n\n\n\n<li>How to manage locks to prevent access to data (for example, Amazon Redshift, Amazon RDS)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/redshift\/latest\/dg\/r_LOCK.html\" target=\"_blank\" rel=\"noreferrer noopener\">LOCK<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Skills in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Implementing the appropriate storage services for specific cost and performance requirements (for example, Amazon Redshift, Amazon EMR, AWS Lake Formation, Amazon RDS, DynamoDB, Amazon Kinesis Data Streams, Amazon MSK)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/redshift\/latest\/dg\/materialized-view-streaming-ingestion.html\" target=\"_blank\" rel=\"noreferrer noopener\">Streaming ingestion<\/a>)<\/li>\n\n\n\n<li>Configuring the appropriate storage services for specific access patterns and requirements (for example, Amazon Redshift, Amazon EMR, Lake Formation, Amazon RDS, DynamoDB)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/Welcome.html\" target=\"_blank\" rel=\"noreferrer noopener\">What is AWS Lake Formation?<\/a>,\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/redshift\/latest\/dg\/federated-overview.html\" target=\"_blank\" rel=\"noreferrer noopener\">Querying external data using Amazon Redshift Spectrum<\/a>)<\/li>\n\n\n\n<li>Applying storage services to appropriate use cases (for example, Amazon S3)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/Welcome.html\" target=\"_blank\" rel=\"noreferrer noopener\">What is Amazon S3?<\/a>)<\/li>\n\n\n\n<li>Integrating migration tools into data processing systems (for example, AWS Transfer Family)<\/li>\n\n\n\n<li>Implementing data migration or remote access methods (for example, Amazon Redshift federated queries, Amazon Redshift materialized views, Amazon Redshift Spectrum)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/redshift\/latest\/dg\/federated-overview.html\" target=\"_blank\" rel=\"noreferrer noopener\">Querying data with federated queries in Amazon Redshift<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Task Statement 2.2: Understanding data cataloging systems.<\/p>\n\n\n\n<p>Knowledge of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>How to create a data catalog\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/glue\/latest\/dg\/start-data-catalog.html\" target=\"_blank\" rel=\"noreferrer noopener\">Getting started with the AWS Glue Data Catalog<\/a>)<\/li>\n\n\n\n<li>Data classification based on requirements\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/data-classification\/data-classification-models-and-schemes.html\" target=\"_blank\" rel=\"noreferrer noopener\">Data classification models and schemes<\/a>)<\/li>\n\n\n\n<li>Components of metadata and data catalogs\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/prescriptive-guidance\/latest\/serverless-etl-aws-glue\/aws-glue-data-catalog.html\" target=\"_blank\" rel=\"noreferrer noopener\">AWS Glue Data Catalog<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Skills in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Using data catalogs to consume data from the data\u2019s source\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/glue\/latest\/dg\/catalog-and-crawler.html\" target=\"_blank\" rel=\"noreferrer noopener\">Data discovery and cataloging in AWS Glue<\/a>)<\/li>\n\n\n\n<li>Building and referencing a data catalog (for example, AWS Glue Data Catalog, Apache Hive metastore)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/emr\/latest\/ReleaseGuide\/emr-hive-metastore-glue.html\" target=\"_blank\" rel=\"noreferrer noopener\">Using the AWS Glue Data Catalog as the metastore for Hive<\/a>)<\/li>\n\n\n\n<li>Discovering schemas and using AWS Glue crawlers to populate data catalogs\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/glue\/latest\/dg\/add-crawler.html\" target=\"_blank\" rel=\"noreferrer noopener\">Using crawlers to populate the Data Catalog<\/a>)<\/li>\n\n\n\n<li>Synchronizing partitions with a data catalog\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/athena\/latest\/ug\/glue-best-practices.html\" target=\"_blank\" rel=\"noreferrer noopener\">Best practices when using Athena with AWS Glue<\/a>)<\/li>\n\n\n\n<li>Creating new source or target connections for cataloging (for example, AWS Glue)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/glue\/latest\/dg\/data-target-nodes.html\" target=\"_blank\" rel=\"noreferrer noopener\">Configuring data target nodes<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Task Statement 2.3: Managing the lifecycle of data.<\/p>\n\n\n\n<p>Knowledge of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Appropriate storage solutions to address hot and cold data requirements\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/opensearch-service\/latest\/developerguide\/cold-storage.html\" target=\"_blank\" rel=\"noreferrer noopener\">Cold storage for Amazon OpenSearch Service<\/a>)<\/li>\n\n\n\n<li>How to optimize the cost of storage based on the data lifecycle\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/prescriptive-guidance\/latest\/strategy-sap-cost-optimization\/storage-optimization-services.html#:~:text=Configuring%20lifecycle%20policies%20automates%20the,that%20require%20long%2Dterm%20retention.\" target=\"_blank\" rel=\"noreferrer noopener\">Storage optimization services<\/a>)<\/li>\n\n\n\n<li>How to delete data to meet business and legal requirements<\/li>\n\n\n\n<li>Data retention policies and archiving strategies\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/analytics-lens\/best-practice-3.7---implement-data-retention-policies-for-each-class-of-data-in-the-analytics-workload..html\" target=\"_blank\" rel=\"noreferrer noopener\">Implement data retention policies for each class of data in the analytics workload<\/a>)<\/li>\n\n\n\n<li>How to protect data with appropriate resiliency and availability\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/resilience-hub\/latest\/userguide\/data-protection.html\" target=\"_blank\" rel=\"noreferrer noopener\">Data protection in AWS Resilience Hub<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Skills in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Performing load and unload operations to move data between Amazon S3 and Amazon Redshift\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/redshift\/latest\/dg\/t_Unloading_tables.html\" target=\"_blank\" rel=\"noreferrer noopener\">Unloading data to Amazon S3<\/a>)<\/li>\n\n\n\n<li>Managing S3 Lifecycle policies to change the storage tier of S3 data\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/object-lifecycle-mgmt.html\" target=\"_blank\" rel=\"noreferrer noopener\">Managing your storage lifecycle<\/a>)<\/li>\n\n\n\n<li>Expiring data when it reaches a specific age by using S3 Lifecycle policies\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/lifecycle-expire-general-considerations.html\" target=\"_blank\" rel=\"noreferrer noopener\">Expiring objects<\/a>)<\/li>\n\n\n\n<li>Managing S3 versioning and DynamoDB TTL\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/amazondynamodb\/latest\/developerguide\/TTL.html\" target=\"_blank\" rel=\"noreferrer noopener\">Time to Live (TTL)<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Task Statement 2.4: Designing data models and schema evolution.<\/p>\n\n\n\n<p>Knowledge of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Data modeling concepts\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/prescriptive-guidance\/latest\/dynamodb-data-modeling\/steps.html\" target=\"_blank\" rel=\"noreferrer noopener\">Data-modeling process steps<\/a>)<\/li>\n\n\n\n<li>How to ensure accuracy and trustworthiness of data by using data lineage<\/li>\n\n\n\n<li>Best practices for indexing, partitioning strategies, compression, and other data optimization techniques\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/analytics-lens\/best-practice-15.5-optimize-your-data-modeling-and-data-storage-for-efficient-data-retrieval..html\" target=\"_blank\" rel=\"noreferrer noopener\">Optimize your data modeling and data storage for efficient data retrieval<\/a>)<\/li>\n\n\n\n<li>How to model structured, semi-structured, and unstructured data\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/aws.amazon.com\/compare\/the-difference-between-structured-data-and-unstructured-data\/\" target=\"_blank\" rel=\"noreferrer noopener\">What\u2019s The Difference Between Structured Data And Unstructured Data?<\/a>)<\/li>\n\n\n\n<li>Schema evolution techniques\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/athena\/latest\/ug\/handling-schema-updates-chapter.html\" target=\"_blank\" rel=\"noreferrer noopener\">Handling schema updates<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Skills in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Designing schemas for Amazon Redshift, DynamoDB, and Lake Formation\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/redshift\/latest\/dg\/r_CREATE_SCHEMA.html\" target=\"_blank\" rel=\"noreferrer noopener\">CREATE SCHEMA<\/a>)<\/li>\n\n\n\n<li>Addressing changes to the characteristics of data\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/disaster-recovery-workloads-on-aws\/disaster-recovery-options-in-the-cloud.html\" target=\"_blank\" rel=\"noreferrer noopener\">Disaster recovery options in the cloud<\/a>)<\/li>\n\n\n\n<li>Performing schema conversion (for example, by using the AWS Schema Conversion Tool [AWS SCT] and AWS DMS Schema Conversion)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/dms\/latest\/userguide\/CHAP_SchemaConversion.html\" target=\"_blank\" rel=\"noreferrer noopener\">Converting database schemas using DMS Schema Conversion<\/a>)<\/li>\n\n\n\n<li>Establishing data lineage by using AWS tools (for example, Amazon SageMaker ML Lineage Tracking)<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><a href=\"https:\/\/www.skilr.com\/\" target=\"_blank\" rel=\" noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"961\" height=\"150\" src=\"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-3.jpg\" alt=\"AWS Certified Data Engineer \u2013 Associate\" class=\"wp-image-1527\" srcset=\"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-3.jpg 961w, https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-3-300x47.jpg 300w\" sizes=\"auto, (max-width: 961px) 100vw, 961px\" \/><\/a><\/figure>\n<\/div>\n\n\n<h4 class=\"wp-block-heading\"><strong>3. Understand Data Operations and Support<\/strong><\/h4>\n\n\n\n<p>Task Statement 3.1: Automating data processing by using AWS services.<\/p>\n\n\n\n<p>Knowledge of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>How to maintain and troubleshoot data processing for repeatable business outcomes\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/devops-guidance\/ag.dlm.1-define-recovery-objectives-to-maintain-business-continuity.html\" target=\"_blank\" rel=\"noreferrer noopener\">Define recovery objectives to maintain business continuity<\/a>)<\/li>\n\n\n\n<li>API calls for data processing<\/li>\n\n\n\n<li>Which services accept scripting (for example, Amazon EMR, Amazon Redshift, AWS Glue)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/glue\/latest\/dg\/what-is-glue.html\" target=\"_blank\" rel=\"noreferrer noopener\">What is AWS Glue?<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Skills in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Orchestrating data pipelines (for example, Amazon MWAA, Step Functions)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/best-practices-building-data-lake-for-games\/workflow-orchestration.html\" target=\"_blank\" rel=\"noreferrer noopener\">Workflow orchestration<\/a>)<\/li>\n\n\n\n<li>Troubleshooting Amazon managed workflows\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/mwaa\/latest\/userguide\/troubleshooting.html\" target=\"_blank\" rel=\"noreferrer noopener\">Troubleshooting Amazon Managed Workflows for Apache Airflow<\/a>)<\/li>\n\n\n\n<li>Calling SDKs to access Amazon features from code\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/code-library\/latest\/ug\/code_example_library_by_sdk.html\" target=\"_blank\" rel=\"noreferrer noopener\">Code examples by SDK using AWS SDKs<\/a>)<\/li>\n\n\n\n<li>Using the features of AWS services to process data (for example, Amazon EMR, Amazon Redshift, AWS Glue)<\/li>\n\n\n\n<li>Consuming and maintaining data APIs\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/microservices-on-aws\/api-management.html\" target=\"_blank\" rel=\"noreferrer noopener\">API\u00a0management<\/a>)<\/li>\n\n\n\n<li>Preparing data transformation (for example, AWS Glue DataBrew)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/databrew\/latest\/dg\/what-is.html\" target=\"_blank\" rel=\"noreferrer noopener\">What is AWS Glue DataBrew?<\/a>)<\/li>\n\n\n\n<li>Querying data (for example, Amazon Athena)<\/li>\n\n\n\n<li>Using Lambda to automate data processing\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/big-data-analytics-options\/aws-lambda.html#:~:text=AWS%20Lambda%20enables%20you%20to,service%20%E2%80%93%20all%20with%20zero%20administration.\" target=\"_blank\" rel=\"noreferrer noopener\">AWS Lambda<\/a>)<\/li>\n\n\n\n<li>Managing events and schedulers (for example, EventBridge)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/scheduler\/latest\/UserGuide\/what-is-scheduler.html\" target=\"_blank\" rel=\"noreferrer noopener\">What is Amazon EventBridge Scheduler?<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Task Statement 3.2: Analyzing data by using AWS services.<\/p>\n\n\n\n<p>Knowledge of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Tradeoffs between provisioned services and serverless services\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/optimizing-enterprise-economics-with-serverless\/understanding-serverless-architectures.html\" target=\"_blank\" rel=\"noreferrer noopener\">Understanding serverless architectures<\/a>)<\/li>\n\n\n\n<li>SQL queries (for example, SELECT statements with multiple qualifiers or JOIN clauses)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/redshift\/latest\/dg\/r_Subquery_examples.html\" target=\"_blank\" rel=\"noreferrer noopener\">Subquery examples<\/a>)<\/li>\n\n\n\n<li>How to visualize data for analysis\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/data-warehousing-on-aws\/analysis-and-visualization.html\" target=\"_blank\" rel=\"noreferrer noopener\">Analysis and visualization<\/a>)<\/li>\n\n\n\n<li>When and how to apply cleansing techniques<\/li>\n\n\n\n<li>Data aggregation, rolling average, grouping, and pivoting\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/quicksight\/latest\/user\/calculated-field-aggregations.html\" target=\"_blank\" rel=\"noreferrer noopener\">Aggregate functions<\/a>,\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/quicksight\/latest\/user\/pivot-table.html\" target=\"_blank\" rel=\"noreferrer noopener\">Using pivot tables<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Skills in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Visualizing data by using AWS services and tools (for example, AWS Glue DataBrew, Amazon QuickSight)<\/li>\n\n\n\n<li>Verifying and cleaning data (for example, Lambda, Athena, QuickSight, Jupyter Notebooks, Amazon SageMaker Data Wrangler)<\/li>\n\n\n\n<li>Using Athena to query data or to create views\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/athena\/latest\/ug\/views.html\" target=\"_blank\" rel=\"noreferrer noopener\">Working with views<\/a>)<\/li>\n\n\n\n<li>Using Athena notebooks that use Apache Spark to explore data\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/athena\/latest\/ug\/notebooks-spark.html\" target=\"_blank\" rel=\"noreferrer noopener\">Using Apache Spark in Amazon Athena<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Task Statement 3.3: Maintaining and monitoring data pipelines.<\/p>\n\n\n\n<p>Knowledge of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>How to log application data\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/AmazonCloudWatch\/latest\/logs\/WhatIsCloudWatchLogs.html\" target=\"_blank\" rel=\"noreferrer noopener\">What is Amazon CloudWatch Logs?<\/a>)<\/li>\n\n\n\n<li>Best practices for performance tuning\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/prescriptive-guidance\/latest\/tuning-aws-glue-for-apache-spark\/introduction.html\" target=\"_blank\" rel=\"noreferrer noopener\">Best practices for performance tuning AWS Glue for Apache Spark jobs<\/a>)<\/li>\n\n\n\n<li>How to log access to AWS services\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/AmazonCloudWatch\/latest\/logs\/AWS-logs-and-resource-policy.html\" target=\"_blank\" rel=\"noreferrer noopener\">Enabling logging from AWS services<\/a>)<\/li>\n\n\n\n<li>Amazon Macie, AWS CloudTrail, and Amazon CloudWatch<\/li>\n<\/ul>\n\n\n\n<p>Skills in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Extracting logs for audits\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/audit-manager\/latest\/userguide\/security-logging-and-monitoring.html\" target=\"_blank\" rel=\"noreferrer noopener\">Logging and monitoring in AWS Audit Manager<\/a>)<\/li>\n\n\n\n<li>Deploying logging and monitoring solutions to facilitate auditing and traceability\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/prescriptive-guidance\/latest\/implementing-logging-monitoring-cloudwatch\/welcome.html#:~:text=There%20are%20many%20AWS%20services,billing%20metrics%20for%20cost%20optimization.\" target=\"_blank\" rel=\"noreferrer noopener\">Designing and implementing logging and monitoring with Amazon CloudWatch<\/a>)<\/li>\n\n\n\n<li>Using notifications during monitoring to send alerts<\/li>\n\n\n\n<li>Troubleshooting performance issues<\/li>\n\n\n\n<li>Using CloudTrail to track API calls\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/awscloudtrail\/latest\/APIReference\/Welcome.html#:~:text=CloudTrail%20is%20a%20web%20service,elements%20returned%20by%20the%20service.\" target=\"_blank\" rel=\"noreferrer noopener\">AWS CloudTrail<\/a>)<\/li>\n\n\n\n<li>Troubleshooting and maintaining pipelines (for example, AWS Glue, Amazon EMR)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/aws-glue-best-practices-build-secure-data-pipeline\/building-a-reliable-data-pipeline.html\" target=\"_blank\" rel=\"noreferrer noopener\">Building a reliable data pipeline<\/a>)<\/li>\n\n\n\n<li>Using Amazon CloudWatch Logs to log application data (with a focus on configuration and automation)<\/li>\n\n\n\n<li>Analyzing logs with AWS services (for example, Athena, Amazon EMR, Amazon OpenSearch Service, CloudWatch Logs Insights, big data application logs)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/AmazonCloudWatch\/latest\/logs\/AnalyzingLogData.html\" target=\"_blank\" rel=\"noreferrer noopener\">Analyzing log data with CloudWatch Logs Insights<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Task Statement 3.4: Ensuring data quality.<\/p>\n\n\n\n<p>Knowledge of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Data sampling techniques\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/glue\/latest\/dg\/transforms-configure-spigot.html\" target=\"_blank\" rel=\"noreferrer noopener\">Using Spigot to sample your dataset<\/a>)<\/li>\n\n\n\n<li>How to implement data skew mechanisms\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/managed-flink\/latest\/java\/troubleshooting-data-skew.html\" target=\"_blank\" rel=\"noreferrer noopener\">Data skew<\/a>)<\/li>\n\n\n\n<li>Data validation (data completeness, consistency, accuracy, and integrity)<\/li>\n\n\n\n<li>Data profiling<\/li>\n<\/ul>\n\n\n\n<p>Skills in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Running data quality checks while processing the data (for example, checking for empty fields)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/glue\/latest\/dg\/dqdl.html\" target=\"_blank\" rel=\"noreferrer noopener\">Data Quality Definition Language (DQDL) reference<\/a>)<\/li>\n\n\n\n<li>Defining data quality rules (for example, AWS Glue DataBrew)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/databrew\/latest\/dg\/profile.data-quality-rules.html\" target=\"_blank\" rel=\"noreferrer noopener\">Validating data quality in AWS Glue DataBrew<\/a>)<\/li>\n\n\n\n<li>Investigating data consistency (for example, AWS Glue DataBrew)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/databrew\/latest\/dg\/what-is.html\" target=\"_blank\" rel=\"noreferrer noopener\">What is AWS Glue DataBrew<\/a>)<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>4. Learn about Data Security and Governance<\/strong><\/h4>\n\n\n\n<p>Task Statement 4.1: Applying authentication mechanisms.<\/p>\n\n\n\n<p>Knowledge of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>VPC security networking concepts\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/vpc\/latest\/userguide\/what-is-amazon-vpc.html\" target=\"_blank\" rel=\"noreferrer noopener\">What is Amazon VPC?<\/a>)<\/li>\n\n\n\n<li>Differences between managed services and unmanaged services<\/li>\n\n\n\n<li>Authentication methods (password-based, certificate-based, and role-based)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/IAM\/latest\/UserGuide\/aws-signing-authentication-methods.html\" target=\"_blank\" rel=\"noreferrer noopener\">Authentication methods<\/a>)<\/li>\n\n\n\n<li>Differences between AWS managed policies and customer managed policies\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/IAM\/latest\/UserGuide\/access_policies_managed-vs-inline.html\" target=\"_blank\" rel=\"noreferrer noopener\">Managed policies and inline policies<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Skills in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Updating VPC security groups\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/vpc\/latest\/userguide\/security-group-rules.html\" target=\"_blank\" rel=\"noreferrer noopener\">Security group rules<\/a>)<\/li>\n\n\n\n<li>Creating and updating IAM groups, roles, endpoints, and services\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/IAM\/latest\/UserGuide\/id.html\" target=\"_blank\" rel=\"noreferrer noopener\">IAM Identities (users, user groups, and roles)<\/a>)<\/li>\n\n\n\n<li>Creating and rotating credentials for password management (for example, AWS Secrets Manager)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/AmazonRDS\/latest\/UserGuide\/rds-secrets-manager.html\" target=\"_blank\" rel=\"noreferrer noopener\">Password management with\u00a0Amazon RDS\u00a0and AWS Secrets Manager<\/a>)<\/li>\n\n\n\n<li>Setting up IAM roles for access (for example, Lambda, Amazon API Gateway, AWS CLI, CloudFormation)<\/li>\n\n\n\n<li>Applying IAM policies to roles, endpoints, and services (for example, S3 Access Points, AWS PrivateLink)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/access-points-policies.html\" target=\"_blank\" rel=\"noreferrer noopener\">Configuring IAM policies for using access points<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Task Statement 4.2: Implementing authorization mechanisms.<\/p>\n\n\n\n<p>Knowledge of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Authorization methods (role-based, policy-based, tag-based, and attribute\u0002based)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/IAM\/latest\/UserGuide\/introduction_attribute-based-access-control.html\" target=\"_blank\" rel=\"noreferrer noopener\">What is ABAC for AWS?<\/a>)<\/li>\n\n\n\n<li>Principle of least privilege as it applies to AWS security<\/li>\n\n\n\n<li>Role-based access control and expected access patterns\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/prescriptive-guidance\/latest\/saas-multitenant-api-access-authorization\/access-control-types.html\" target=\"_blank\" rel=\"noreferrer noopener\">Types of access control<\/a>)<\/li>\n\n\n\n<li>Methods to protect data from unauthorized access across services\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/logical-separation\/mitigating-unauthorized-access-to-data.html#:~:text=Encryption%20%E2%80%94%20Appropriately%20encrypting%20data%20can,vast%20majority%20of%20exfiltration%20attempts.\" target=\"_blank\" rel=\"noreferrer noopener\">Mitigating Unauthorized Access to Data<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Skills in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Creating custom IAM policies when a managed policy does not meet the needs\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/IAM\/latest\/UserGuide\/access_policies_create-console.html\" target=\"_blank\" rel=\"noreferrer noopener\">Creating IAM policies (console)<\/a>)<\/li>\n\n\n\n<li>Storing application and database credentials (for example, Secrets Manager, AWS Systems Manager Parameter Store)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/systems-manager\/latest\/userguide\/systems-manager-parameter-store.html\" target=\"_blank\" rel=\"noreferrer noopener\">AWS Systems Manager\u00a0Parameter Store<\/a>)<\/li>\n\n\n\n<li>Providing database users, groups, and roles access and authority in a database (for example, for Amazon Redshift)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/redshift\/latest\/dg\/t_user_group_examples.html\" target=\"_blank\" rel=\"noreferrer noopener\">Example for controlling user and group access<\/a>)<\/li>\n\n\n\n<li>Managing permissions through Lake Formation (for Amazon Redshift, Amazon EMR, Athena, and Amazon S3)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/lake-formation\/latest\/dg\/managing-permissions.html\" target=\"_blank\" rel=\"noreferrer noopener\">Managing Lake Formation permissions<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Task Statement 4.3: Ensuring data encryption and masking.<\/p>\n\n\n\n<p>Knowledge of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Data encryption options available in AWS analytics services (for example, Amazon Redshift, Amazon EMR, AWS Glue)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/introduction-aws-security\/data-encryption.html\" target=\"_blank\" rel=\"noreferrer noopener\">Data Encryption<\/a>)<\/li>\n\n\n\n<li>Differences between client-side encryption and server-side encryption\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/amazon-s3-encryption-client\/latest\/developerguide\/client-server-side.html\" target=\"_blank\" rel=\"noreferrer noopener\">Client-side and server-side encryption<\/a>)<\/li>\n\n\n\n<li>Protection of sensitive data\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/ARG\/latest\/userguide\/security_data-protection.html\" target=\"_blank\" rel=\"noreferrer noopener\">Data protection in AWS Resource Groups<\/a>)<\/li>\n\n\n\n<li>Data anonymization, masking, and key salting<\/li>\n<\/ul>\n\n\n\n<p>Skills in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Applying data masking and anonymization according to compliance laws or company policies<\/li>\n\n\n\n<li>Using encryption keys to encrypt or decrypt data (for example, AWS Key Management Service [AWS KMS])\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/kms\/latest\/developerguide\/programming-encryption.html\" target=\"_blank\" rel=\"noreferrer noopener\">Encrypting and decrypting data keys<\/a>)<\/li>\n\n\n\n<li>Configuring encryption across AWS account boundaries\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/kms\/latest\/developerguide\/key-policy-modifying-external-accounts.html\" target=\"_blank\" rel=\"noreferrer noopener\">Allowing users in other accounts to use a KMS key<\/a>)<\/li>\n\n\n\n<li>Enabling encryption in transit for data.<\/li>\n<\/ul>\n\n\n\n<p>Task Statement 4.4: Preparing logs for audit.<\/p>\n\n\n\n<p>Knowledge of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>How to log application dat\u00a0<strong>(AWS Documentation:<\/strong>a\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/AmazonCloudWatch\/latest\/logs\/WhatIsCloudWatchLogs.html\" target=\"_blank\" rel=\"noreferrer noopener\">What is Amazon CloudWatch Logs?<\/a>)<\/li>\n\n\n\n<li>How to log access to AWS services\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/AmazonCloudWatch\/latest\/logs\/AWS-logs-and-resource-policy.html\" target=\"_blank\" rel=\"noreferrer noopener\">Enabling logging from AWS services<\/a>)<\/li>\n\n\n\n<li>Centralized AWS logs\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/solutions\/latest\/centralized-logging-on-aws\/solution-overview.html\" target=\"_blank\" rel=\"noreferrer noopener\">Centralized Logging on AWS<\/a>)<\/li>\n<\/ul>\n\n\n\n<p>Skills in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Using CloudTrail to track API calls\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/awscloudtrail\/latest\/APIReference\/Welcome.html#:~:text=CloudTrail%20is%20a%20web%20service,elements%20returned%20by%20the%20service.\" target=\"_blank\" rel=\"noreferrer noopener\">AWS CloudTrail<\/a>)<\/li>\n\n\n\n<li>Using CloudWatch Logs to store application logs\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/AmazonCloudWatch\/latest\/logs\/WhatIsCloudWatchLogs.html\" target=\"_blank\" rel=\"noreferrer noopener\">What is Amazon CloudWatch Logs?<\/a>)<\/li>\n\n\n\n<li>Using AWS CloudTrail Lake for centralized logging queries\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/athena\/latest\/ug\/cloudtrail-logs.html\" target=\"_blank\" rel=\"noreferrer noopener\">Querying AWS CloudTrail logs<\/a>)<\/li>\n\n\n\n<li>Analyzing logs by using AWS services (for example, Athena, CloudWatch Logs Insights, Amazon OpenSearch Service)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/AmazonCloudWatch\/latest\/logs\/AnalyzingLogData.html\" target=\"_blank\" rel=\"noreferrer noopener\">Analyzing log data with CloudWatch Logs Insights<\/a>)<\/li>\n\n\n\n<li>Integrating various AWS services to perform logging (for example, Amazon EMR in cases of large volumes of log data)<\/li>\n<\/ul>\n\n\n\n<p>Task Statement 4.5: Understanding data privacy and governance.Knowledge of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>How to protect personally identifiable information (PII)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/comprehend\/latest\/dg\/pii.html\" target=\"_blank\" rel=\"noreferrer noopener\">Personally identifiable information (PII)<\/a>)<\/li>\n\n\n\n<li>Data sovereignty<\/li>\n<\/ul>\n\n\n\n<p>Skills in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Granting permissions for data sharing (for example, data sharing for Amazon Redshift)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/redshift\/latest\/dg\/datashare-overview.html\" target=\"_blank\" rel=\"noreferrer noopener\">Sharing data in Amazon Redshift<\/a>)<\/li>\n\n\n\n<li>Implementing PII identification (for example, Macie with Lake Formation)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/lake-formation\/latest\/dg\/security-data-protection.html\" target=\"_blank\" rel=\"noreferrer noopener\">Data Protection in Lake Formation<\/a>)<\/li>\n\n\n\n<li>Implementing data privacy strategies to prevent backups or replications of data to disallowed AWS Regions<\/li>\n\n\n\n<li>Managing configuration changes that have occurred in an account (for example, AWS Config)\u00a0<strong>(AWS Documentation:<\/strong>\u00a0<a href=\"https:\/\/docs.aws.amazon.com\/config\/latest\/developerguide\/stop-start-recorder.html\" target=\"_blank\" rel=\"noreferrer noopener\">Managing the Configuration Recorder<\/a>)<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>AWS Data Engineer Associate Exam FAQs<\/strong><\/h2>\n\n\n\n<p><strong><a href=\"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01-exam-faqs\/\" target=\"_blank\" rel=\"noreferrer noopener\">Check here for FAQs!<\/a><\/strong><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><a href=\"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01-exam-faqs\/\" target=\"_blank\" rel=\" noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-1-1024x576.jpg\" alt=\"AWS Certified Data Engineer \u2013 FAQs\" class=\"wp-image-1528\" srcset=\"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-1-1024x576.jpg 1024w, https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-1-300x169.jpg 300w, https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-1-scaled.jpg 1000w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\"><strong>AWS Exam Policy Overview<\/strong><\/h2>\n\n\n\n<p>Amazon Web Services (AWS) maintains a clear set of <a href=\"https:\/\/aws.amazon.com\/certification\/faqs\/\" target=\"_blank\" rel=\"noreferrer noopener\">policies and procedures<\/a> that govern its certification exams. These policies are designed to ensure a fair, consistent, and secure examination process. They cover important areas such as exam retakes, unscored content, and score reporting.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>&#8211; Exam Retake Policy<\/strong><\/h3>\n\n\n\n<p>Candidates who do not pass the AWS certification exam must wait a minimum of 14 days before they are eligible to retake the exam. There is no limit to the number of retakes, but each attempt requires payment of the full registration fee.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>&#8211; Unscored Content<\/strong><\/h3>\n\n\n\n<p>The AWS Certified Data Engineer \u2013 Associate (DEA-C01) exam may include up to 15 unscored questions. These questions are used solely for research and evaluation purposes and do not impact the final score. However, they are not identified within the exam, and candidates should answer all questions to the best of their ability.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>&#8211; Exam Results and Scoring<\/strong><\/h3>\n\n\n\n<p>The DEA-C01 exam results are presented as a pass or fail outcome. Scoring is based on a scaled system ranging from 100 to 1,000, with a minimum passing score of 720. This score reflects a candidate\u2019s overall performance on the exam and is determined against a predefined standard developed by AWS experts, following industry best practices.<\/p>\n\n\n\n<p>AWS uses a compensatory scoring model, which means that candidates do not need to pass each individual section of the exam; instead, a passing score on the overall exam is sufficient. The exam may include a performance classification table that provides section-level insights into the candidate\u2019s strengths and weaknesses. However, because different sections carry different weights, caution should be used when interpreting this data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>AWS Data Engineer Associate Exam Study Guide<\/strong><\/h2>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"667\" height=\"1000\" src=\"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-4-scaled.jpg\" alt=\"AWS DEA-C01 study guide\" class=\"wp-image-1529\" srcset=\"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-4-scaled.jpg 667w, https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-4-200x300.jpg 200w\" sizes=\"auto, (max-width: 667px) 100vw, 667px\" \/><\/figure>\n<\/div>\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 1: Understand the Exam Objectives Thoroughly<\/strong><\/h3>\n\n\n\n<p>Begin your preparation by reviewing the official AWS Certified Data Engineer \u2013 Associate (DEA-C01) exam guide. This document outlines all the key domains and topics covered in the exam. Understanding these objectives helps you identify which areas require more focus and ensures your study plan aligns with AWS\u2019s expectations. Pay close attention to each domain\u2019s weightage, as it indicates the proportion of questions likely to appear from that topic.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 2: Utilize Official AWS Training Resources<\/strong><\/h3>\n\n\n\n<p>Leverage the official <a href=\"https:\/\/aws.amazon.com\/certification\/certified-data-engineer-associate\/\" target=\"_blank\" rel=\"noreferrer noopener\">AWS training<\/a> materials, which are curated by AWS experts and aligned with the exam objectives. These include foundational and role-based training that introduce core services and use cases relevant to data engineering. Training paths on the AWS Training and Certification portal are a reliable starting point, offering high-quality, up-to-date resources.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 3: Explore AWS Skill Builder for Structured Learning<\/strong><\/h3>\n\n\n\n<p>Use <a href=\"https:\/\/skillbuilder.aws\/exam-prep\/data-engineer-associate\" target=\"_blank\" rel=\"noreferrer noopener\">AWS Skill Builder<\/a>, a free platform that offers on-demand, interactive training modules. Skill Builder provides curated learning plans for aspiring data engineers, including hands-on tutorials, assessments, and scenario-based exercises. This platform is especially useful for reinforcing your theoretical understanding through practical examples and guided walkthroughs.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 4: Practice with AWS Builder Labs, Cloud Quest, and AWS Jam<\/strong><\/h3>\n\n\n\n<p>Apply your knowledge in real AWS environments by completing <a href=\"https:\/\/aws.amazon.com\/certification\/certified-data-engineer-associate\/\" target=\"_blank\" rel=\"noreferrer noopener\">AWS<\/a> Builder Labs. These labs offer practical, guided tasks that simulate real-world data engineering scenarios. Additionally, explore AWS Cloud Quest: Data Engineer, a gamified learning experience that makes complex concepts more approachable. For a more challenge-based practice, participate in AWS Jam events, which place you in timed, scenario-based challenges that require problem-solving under pressure.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 5: Join Study Groups and Community Forums<\/strong><\/h3>\n\n\n\n<p>Engaging with the AWS community can significantly enhance your preparation. Join AWS study groups, online forums, or local meetups where you can discuss difficult topics, ask questions, and share study resources. Platforms like Reddit, LinkedIn, and re:Post by AWS are excellent places to connect with other candidates and AWS-certified professionals.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 6: Take Practice Exams to Assess Your Readiness<\/strong><\/h3>\n\n\n\n<p>Finally, validate your preparation by taking full-length DEA-C01 practice tests. These practice exams simulate the actual test environment and help you get accustomed to the question format, time pressure, and content depth. Review your results carefully to identify weak areas, and revisit those topics using AWS documentation or training materials. Repeated practice will build confidence and ensure you\u2019re exam-ready.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><a href=\"https:\/\/www.skilr.com\/\" target=\"_blank\" rel=\" noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"961\" height=\"150\" src=\"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-2.jpg\" alt=\"AWS Certified Data Engineer \u2013 Associate (DEA-C01) tests\" class=\"wp-image-1530\" srcset=\"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-2.jpg 961w, https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-2-300x47.jpg 300w\" sizes=\"auto, (max-width: 961px) 100vw, 961px\" \/><\/a><\/figure>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>The AWS Certified Data Engineer \u2013 Associate (DEA-C01) certification is designed to validate a candidate\u2019s expertise in designing, building, and maintaining data processing solutions on AWS. It emphasizes core competencies such as data ingestion, transformation, orchestration, pipeline monitoring, cost optimization, and data governance. &#8211; Key Skills Validated Candidates who pass the DEA-C01 exam demonstrate proficiency&#8230;<\/p>\n","protected":false},"author":2,"featured_media":1524,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[969],"tags":[1038,986,1032,1034,1037,1036,989,1035,1039,1033,70],"class_list":["post-1522","page","type-page","status-publish","has-post-thumbnail","hentry","category-aws","tag-amazon-redshift","tag-aws-certification-guide","tag-aws-certified-data-engineer-associate","tag-aws-data-engineer-tutorial","tag-aws-data-pipelines","tag-aws-exam-preparation","tag-aws-exam-tips","tag-aws-glue","tag-data-engineering-on-aws","tag-dea-c01","tag-m4f"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AWS Certified Data Engineer \u2013 Associate (DEA-C01) - Skilr Tutorial<\/title>\n<meta name=\"description\" content=\"Master the AWS Certified Data Engineer \u2013 Associate (DEA-C01) exam with this complete tutorial covering key services and exam tips.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AWS Certified Data Engineer \u2013 Associate (DEA-C01) - Skilr Tutorial\" \/>\n<meta property=\"og:description\" content=\"Master the AWS Certified Data Engineer \u2013 Associate (DEA-C01) exam with this complete tutorial covering key services and exam tips.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/\" \/>\n<meta property=\"og:site_name\" content=\"Skilr Tutorial\" \/>\n<meta property=\"article:modified_time\" content=\"2025-07-08T07:20:05+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"563\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"19 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/\",\"url\":\"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/\",\"name\":\"AWS Certified Data Engineer \u2013 Associate (DEA-C01) - Skilr Tutorial\",\"isPartOf\":{\"@id\":\"https:\/\/www.skilr.com\/tutorial\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-scaled.jpg\",\"datePublished\":\"2025-07-08T07:19:23+00:00\",\"dateModified\":\"2025-07-08T07:20:05+00:00\",\"description\":\"Master the AWS Certified Data Engineer \u2013 Associate (DEA-C01) exam with this complete tutorial covering key services and exam tips.\",\"breadcrumb\":{\"@id\":\"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/#primaryimage\",\"url\":\"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-scaled.jpg\",\"contentUrl\":\"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-scaled.jpg\",\"width\":1000,\"height\":563,\"caption\":\"dea-c01\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.skilr.com\/tutorial\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"AWS Certified Data Engineer \u2013 Associate (DEA-C01)\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.skilr.com\/tutorial\/#website\",\"url\":\"https:\/\/www.skilr.com\/tutorial\/\",\"name\":\"Skilr Tutorial\",\"description\":\"An Initiative By CTI Jabalpur\",\"publisher\":{\"@id\":\"https:\/\/www.skilr.com\/tutorial\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.skilr.com\/tutorial\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.skilr.com\/tutorial\/#organization\",\"name\":\"Skilr\",\"url\":\"https:\/\/www.skilr.com\/tutorial\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.skilr.com\/tutorial\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2022\/07\/skilr-logo.svg\",\"contentUrl\":\"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2022\/07\/skilr-logo.svg\",\"width\":330,\"height\":134,\"caption\":\"Skilr\"},\"image\":{\"@id\":\"https:\/\/www.skilr.com\/tutorial\/#\/schema\/logo\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"AWS Certified Data Engineer \u2013 Associate (DEA-C01) - Skilr Tutorial","description":"Master the AWS Certified Data Engineer \u2013 Associate (DEA-C01) exam with this complete tutorial covering key services and exam tips.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/","og_locale":"en_US","og_type":"article","og_title":"AWS Certified Data Engineer \u2013 Associate (DEA-C01) - Skilr Tutorial","og_description":"Master the AWS Certified Data Engineer \u2013 Associate (DEA-C01) exam with this complete tutorial covering key services and exam tips.","og_url":"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/","og_site_name":"Skilr Tutorial","article_modified_time":"2025-07-08T07:20:05+00:00","og_image":[{"width":1000,"height":563,"url":"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-scaled.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"19 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/","url":"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/","name":"AWS Certified Data Engineer \u2013 Associate (DEA-C01) - Skilr Tutorial","isPartOf":{"@id":"https:\/\/www.skilr.com\/tutorial\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/#primaryimage"},"image":{"@id":"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/#primaryimage"},"thumbnailUrl":"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-scaled.jpg","datePublished":"2025-07-08T07:19:23+00:00","dateModified":"2025-07-08T07:20:05+00:00","description":"Master the AWS Certified Data Engineer \u2013 Associate (DEA-C01) exam with this complete tutorial covering key services and exam tips.","breadcrumb":{"@id":"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/#primaryimage","url":"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-scaled.jpg","contentUrl":"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2025\/07\/AWS-Certified-Data-Engineer-\u2013-Associate-DEA-C01-scaled.jpg","width":1000,"height":563,"caption":"dea-c01"},{"@type":"BreadcrumbList","@id":"https:\/\/www.skilr.com\/tutorial\/aws-certified-data-engineer-associate-dea-c01\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.skilr.com\/tutorial\/"},{"@type":"ListItem","position":2,"name":"AWS Certified Data Engineer \u2013 Associate (DEA-C01)"}]},{"@type":"WebSite","@id":"https:\/\/www.skilr.com\/tutorial\/#website","url":"https:\/\/www.skilr.com\/tutorial\/","name":"Skilr Tutorial","description":"An Initiative By CTI Jabalpur","publisher":{"@id":"https:\/\/www.skilr.com\/tutorial\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.skilr.com\/tutorial\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.skilr.com\/tutorial\/#organization","name":"Skilr","url":"https:\/\/www.skilr.com\/tutorial\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.skilr.com\/tutorial\/#\/schema\/logo\/image\/","url":"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2022\/07\/skilr-logo.svg","contentUrl":"https:\/\/www.skilr.com\/tutorial\/wp-content\/uploads\/2022\/07\/skilr-logo.svg","width":330,"height":134,"caption":"Skilr"},"image":{"@id":"https:\/\/www.skilr.com\/tutorial\/#\/schema\/logo\/image\/"}}]}},"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/www.skilr.com\/tutorial\/wp-json\/wp\/v2\/pages\/1522","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.skilr.com\/tutorial\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.skilr.com\/tutorial\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.skilr.com\/tutorial\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.skilr.com\/tutorial\/wp-json\/wp\/v2\/comments?post=1522"}],"version-history":[{"count":4,"href":"https:\/\/www.skilr.com\/tutorial\/wp-json\/wp\/v2\/pages\/1522\/revisions"}],"predecessor-version":[{"id":1534,"href":"https:\/\/www.skilr.com\/tutorial\/wp-json\/wp\/v2\/pages\/1522\/revisions\/1534"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.skilr.com\/tutorial\/wp-json\/wp\/v2\/media\/1524"}],"wp:attachment":[{"href":"https:\/\/www.skilr.com\/tutorial\/wp-json\/wp\/v2\/media?parent=1522"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.skilr.com\/tutorial\/wp-json\/wp\/v2\/categories?post=1522"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.skilr.com\/tutorial\/wp-json\/wp\/v2\/tags?post=1522"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}