AWS Certified Data Analytics Specialty 2021 - Hands-On! - Amazon Simple Storage Service (Amazon S3) and Glacier Select

The video tutorial explains how to use SQL for server-side filtering in Amazon S3 and Glacier, highlighting the benefits of reduced network transfer and CPU costs. It discusses the limitations of Glacier Select, which only supports uncompressed CSV files, and provides a solution by using S3 Select for compressed files. The tutorial emphasizes the efficiency and cost-effectiveness of S3 Select, which offers faster network times and reduced costs by filtering data server-side.

What is the primary benefit of using SQL for server-side filtering in Amazon S3 or Glacier?

• Improved user interface

• Increased data storage capacity

• Reduced network transfer and CPU cost

• Enhanced data encryption

Which type of files can Glacier Select process?

• Uncompressed CSV files

• Compressed CSV files

• JSON files

• XML files

What must be done to use Glacier Select with compressed CSV files?

• Convert them to JSON format

• Restore them to Amazon S3 and use S3 Select

• Use a different SQL query

• Compress them further

How much faster can S3 Select make network times compared to traditional methods?

• 100 times faster

• 400 times faster

• 200 times faster

• 300 times faster

What is a key consideration to remember about Glacier Select?

• It can handle all file types

• It requires a special API key

• It is only available in certain regions

• It only works with uncompressed CSV files