AWS Certified Data Analytics Specialty 2021 - Hands-On! - Amazon Redshift Durability and Scaling

The video tutorial explains Amazon Redshift's data replication and backup strategies, including storing data in multiple locations and using S3 for disaster recovery. It covers handling node failures and the importance of having multiple nodes in a cluster. The tutorial also discusses the limitations of single availability zone deployments and how to recover from outages. Finally, it explains how to scale Redshift clusters both vertically and horizontally, ensuring minimal downtime during the process.

How many copies of data does Redshift maintain within the data warehouse cluster?

• One copy

• Four copies

• Three copies

• Two copies

What happens when a node fails in a Redshift cluster?

• The cluster becomes permanently unavailable

• The failed node is automatically replaced

• Data is lost

• Manual intervention is required

What is the recommended minimum number of nodes for a production Redshift cluster?

• Three nodes

• Four nodes

• Two nodes

• One node

Which type of scaling involves increasing the number of nodes in a Redshift cluster?

• Linear scaling

• Vertical scaling

• Diagonal scaling

• Horizontal scaling

During a scaling operation, what happens to the existing Redshift cluster?

• It remains fully operational

• It is permanently shut down

• It becomes temporarily unavailable

• It is deleted