The video tutorial explains how to efficiently retrieve and filter data from Amazon S3 using SQL for server-side filtering. It introduces S3 Select, which allows filtering data directly on the server, reducing network transfer and CPU costs. The tutorial highlights the benefits of S3 Select, claiming it to be faster and cheaper. It also mentions Glacier Select for similar purposes.

What is the main advantage of using SQL for server-side filtering in Amazon S3?

• It requires more client-side processing.

• It complicates the data retrieval process.

• It reduces network transfers and CPU costs.

• It increases the amount of data transferred.

How does Amazon S3 Select improve data retrieval efficiency?

• By requiring more network bandwidth.

• By filtering data server-side before retrieval.

• By filtering data on the client side.

• By increasing the data size retrieved.

What claim does Amazon make about the performance of S3 Select?

• It is 300% faster and 70% cheaper.

• It is 200% faster and 50% cheaper.

• It is 400% faster and 80% cheaper.

• It is 100% faster and 30% cheaper.

Which of the following is a feature of Glacier Select?

• It requires manual data filtering.

• It is slower than traditional data retrieval methods.

• It allows server-side filtering similar to S3 Select.

• It only works with JSON files.

What should you consider using for simple filtering tasks on Amazon S3?

• Manual data retrieval.

• Increased network bandwidth.

• Client-side filtering.

• S3 Select and Glacier Select.