AWS Certified Data Analytics Specialty 2021 - Hands-On! - Amazon Redshift Distribution Styles

The video tutorial explains how Amazon Redshift distributes data across compute nodes and slices using different distribution styles. It covers four main styles: auto, even, key, and all distribution. Auto distribution automatically selects the best style based on table size. Even distribution spreads data evenly without considering joins. Key distribution groups data by column values to optimize queries. All distribution copies the entire table to each node, suitable for infrequently updated tables. The tutorial also shows how to view a table's distribution style using system views.

What are the two main objectives of data distribution in Amazon Redshift?

• To improve data encryption and access control

• To distribute workload uniformly and minimize data movement

• To increase data redundancy and security

• To enhance data visualization and reporting

Which distribution style is used when a table does not participate in joins?

• Auto distribution

• Even distribution

• All distribution

• Key distribution

How does Key distribution optimize query performance?

• By copying the entire table to every node

• By storing matching values on the same slice

• By distributing data evenly across all slices

• By automatically selecting the best distribution style

What is a significant drawback of using All distribution?

• It automatically selects the distribution style

• It does not support data joins

• It requires more storage and is slower to update

• It only works with small dimension tables

How can you view the current distribution style of a table in Redshift?

• By using the AWS Management Console

• By querying the V table info view

• By checking the table's metadata

• By using the G class info view