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

The video tutorial explains how Amazon Redshift distributes data across compute nodes and slices using different distribution styles. It covers Auto, Even, Key, and All distribution methods, highlighting their purposes and appropriate use cases. The tutorial also provides guidance on how to view the current distribution style of a table.

What are the two primary goals of data distribution in Amazon Redshift?

• To enhance data compression and encryption

• To improve data visualization and reporting

• To distribute workload uniformly and minimize data movement

• To increase data redundancy and security

What happens if you do not specify a distribution style when creating a table in Amazon Redshift?

• The data will be distributed randomly

• Redshift will use Auto distribution to assign an optimal style

• The table will not be created

• The table will be distributed using Key distribution

In Even distribution, how are the rows distributed across slices?

• In a round-robin fashion

• Based on the values in a specific column

• By duplicating the entire table on each node

• By clustering similar data together

Which distribution style is suitable for tables that frequently participate in joins?

• Auto distribution

• All distribution

• Key distribution

• Even distribution

What is a potential drawback of using All distribution?

• It increases data redundancy

• It requires more storage and takes longer to load data

• It limits the number of nodes in the cluster

• It decreases query performance