16. Discuss your experience with Amazon Aurora for managing relational databases on AWS.

LSI Keywords: Amazon Aurora relational database

Amazon Aurora is a high-performance, fully managed relational database service. Describe your experience with Amazon Aurora, including tasks like database setup, scaling, and data backups.

17. What is the significance of AWS Glue in the ETL process?

LSI Keywords: AWS Glue ETL significance

AWS Glue simplifies the ETL process by automating data preparation, data cataloging, and data transformation tasks. Explain how using AWS Glue streamlines the data engineering workflow and saves time in building robust data pipelines.

18. How do you optimize data storage costs on AWS?

LSI Keywords: AWS data storage cost optimization

Optimizing data storage costs is essential for cost-conscious organizations. Use features like Amazon S3 Intelligent-Tiering, Amazon S3 Glacier, and Amazon S3 Lifecycle policies to efficiently manage data storage costs based on usage patterns.

19. Share your experience with AWS Data Migration Service (DMS) for database migration.

LSI Keywords: AWS DMS database migration