AWS DynamoDB Practice Exam

AWS DynamoDB Practice Exam

AWS DynamoDB is a cloud-based database service provided by Amazon Web Services. Unlike traditional databases that require manual setup and maintenance, DynamoDB automatically handles scaling, backup, and performance. It is designed to store and manage large amounts of data quickly and securely, making it a popular choice for businesses building applications that need speed and reliability.

With DynamoDB, developers don’t have to worry about managing servers or hardware. It provides high performance for apps like e-commerce websites, gaming platforms, and mobile apps that require real-time data access. In short, DynamoDB makes managing big data easier, faster, and more efficient in the cloud.

Who should take the Exam?

This exam is ideal for:

• Cloud Developers
• Database Administrators
• Backend Engineers
• AWS Solution Architects
• DevOps Engineers
• Data Engineers
• IT Infrastructure Professionals
• Application Developers
• Start-up Founders & Entrepreneurs
• Computer Science Students/Graduates

Skills Required

• Basic knowledge of AWS cloud services
• Understanding of databases (SQL/NoSQL concepts)
• Problem-solving and analytical skills
• Familiarity with application development
• Willingness to learn cloud-native tools
• Logical thinking and scalability mindset

Knowledge Gained

• Core features of DynamoDB
• Designing and modeling NoSQL databases
• Understanding tables, indexes, and partitions
• Using DynamoDB APIs for CRUD operations
• Best practices for scalability and security
• Real-world applications of DynamoDB in cloud solutions

Course Outline

The AWS DynamoDB Exam covers the following topics -

1. Introduction to AWS DynamoDB

• What is DynamoDB?
• Key Features and Benefits
• Use Cases in Real-World Applications

2. NoSQL Database Fundamentals

• SQL vs. NoSQL
• Key-Value and Document Data Models
• Advantages of NoSQL in Cloud

3. Working with DynamoDB Tables

• Creating Tables
• Partition Keys and Sort Keys
• Capacity Modes (Provisioned vs. On-Demand)

4. CRUD Operations in DynamoDB

• Inserting Data
• Querying and Scanning Tables
• Updating and Deleting Records

5. Indexes and Query Optimization

• Local Secondary Indexes (LSI)
• Global Secondary Indexes (GSI)
• Designing Efficient Queries

6. Advanced DynamoDB Features

• Streams and Event-Driven Architecture
• Transactions in DynamoDB
• Time-to-Live (TTL) Settings

7. Integration with AWS Services

• DynamoDB with Lambda
• DynamoDB and API Gateway
• DynamoDB with S3 and Analytics Tools

8. Security and Best Practices

• IAM Roles and Access Control
• Encryption and Data Protection
• Cost Optimization