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AWS Database Practice Exam

AWS Database Practice Exam


About AWS Database Exam

The AWS Database Exam is designed for professionals who want to demonstrate their expertise in working with Amazon Web Services (AWS) databases. This exam focuses on deploying, managing, and optimizing database solutions on AWS, covering a wide range of database technologies including relational, non-relational, and data warehousing solutions. It evaluates your ability to design and implement cloud-based databases, monitor their performance, and ensure their security and availability on AWS.


Who should take the Exam?

This exam is ideal for:

  • Database administrators and engineers looking to work with AWS databases
  • Cloud architects and solution architects focusing on database solutions
  • Developers with a focus on database-driven applications on AWS
  • IT professionals aiming to advance their cloud computing and database management skills


Skills Required

  • Knowledge of AWS core services like EC2, S3, and IAM
  • Experience with relational and non-relational database concepts
  • Familiarity with database performance tuning, scaling, and optimization techniques


Knowledge Gained

  • Understanding the different AWS database offerings (RDS, DynamoDB, Aurora, Redshift, etc.)
  • Techniques for migrating databases to AWS and integrating with other AWS services
  • Best practices for securing and monitoring AWS databases
  • Optimizing performance and cost efficiency of AWS database solutions


Course Outline

The AWS Database Exam covers the following topics - 

Domain 1 – Introduction to AWS Databases

  • Overview of AWS database services
  • Choosing the right database type based on use cases
  • Understanding the benefits of AWS databases for cloud environments


Domain 2 – AWS Relational Database Services (RDS)

  • Working with RDS for MySQL, PostgreSQL, Oracle, and SQL Server
  • Provisioning and managing RDS instances
  • Backup, recovery, and security of RDS databases


Domain 3 – AWS Non-Relational Databases

  • Understanding DynamoDB for key-value and document data
  • Using Amazon ElastiCache for caching and high performance
  • Amazon Neptune for graph databases


Domain 4 – AWS Data Warehousing and Analytics

  • Overview of Amazon Redshift for big data analytics
  • Data modeling and optimizing Redshift performance
  • Integrating with other AWS data analytics services


Domain 5 – Database Security and Monitoring

  • Securing database access with IAM, encryption, and security groups
  • Using Amazon CloudWatch and CloudTrail for database monitoring
  • Auditing and compliance with AWS database services


Domain 6 – Database Migration and Integration

  • Using AWS Database Migration Service (DMS)
  • Integrating databases with other AWS services
  • Automating database backups and replication

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