SnowPro Advanced: Data Engineer Practice Exam

SnowPro Advanced: Data Engineer Practice Exam

 

The SnowPro® Advanced: Data Engineer Certification assesses advanced proficiency in applying extensive data engineering principles with Snowflake. It evaluates the candidate's capability to:

• Extract data from Data Lakes, APIs, and on-premises sources.
• Transform, replicate, and distribute data across cloud platforms.
• Architect end-to-end near real-time data streams.
• Devise scalable computing solutions for Data Engineer tasks.
• Analyze performance metrics.

 

Exam Requirements:

• A minimum of 2 years of practical experience as a Snowflake Practitioner in a Data Engineering position with SnowPro Core Certified.

 

Who should take the exam?

The exam is for:

• Data Engineers
• Software Engineers

 

Exam Details

• Exam Name: SnowPro Advanced: Data Engineer
• Exam Version: DEA-C01
• Total Number of Questions: 65
• Question Types: Multiple Select, Multiple Choice
• Time Limit: 115 minutes
• Language: English
• Passing Score: 750 + Scaled Scoring from 0 - 1000

 

Course Outline 

The Exam covers the given topics  - 

Domain 1.0: Data Movement 25-30%

• Given a data set, load data into Snowflake.
• Ingest data of various formats through the mechanics of Snowflake.
• Troubleshoot data ingestion.
• Design, build, and troubleshoot continuous data pipelines.
• Analyze and differentiate types of data pipelines.
• Install, configure, and use connectors to connect to Snowflake.
• Design and build data sharing solutions.
• Outline when to use external tables and define how they work.

 

Domain 2.0: Performance Optimization 20-25%

• Troubleshoot underperforming queries.
• Given a scenario, configure a solution for the best performance.
• Outline and use caching features.
• Monitor continuous data pipelines.

 

Domain 3.0: Storage and Data Protection 10-15%

• Implement data recovery features in Snowflake.
• Outline the impact of streams on Time Travel.
• Use system functions to analyze micro-partitions.
• Use Time Travel and cloning to create new development environments.

 

Domain 4.0: Security 10-15%

• Outline Snowflake security principles.
• Outline the system defined roles and when they should be applied.
• Manage data governance.

 

Domain 5.0: Data Transformation 25-30%

• Define User-Defined Functions (UDFs) and outline how to use them.
• Define and create external functions.
• Design, build, and leverage stored procedures.
• Handle and transform semi-structured data.
• Use Snowpark for data transformation.