AWS Certified Data Analytics Specialty 2021 – Hands-On - Redshift Serverless

Redshift Serverless is a new AWS feature that automatically scales and provisions Redshift clusters based on workload, optimizing costs and performance. It uses machine learning to handle variable workloads and simplifies cluster setup. Billing is based on Redshift Processing Units (RPUs) and storage. While it offers many features of traditional Redshift, some limitations exist, such as lack of support for Redshift Spectrum and public endpoints. Monitoring is enhanced with Cloudwatch integration, providing detailed usage metrics.

What is a key benefit of using Redshift Serverless?

• Manual scaling of clusters

• Fixed cost regardless of usage

• Automatic scaling based on workload

• Requires detailed capacity planning

What is the first step in setting up Redshift Serverless?

• Creating a database

• Configuring encryption settings

• Creating an IAM role

• Setting up audit logging

How is billing calculated in Redshift Serverless?

• By the number of servers used

• By the amount of data processed

• By Redshift Processing Units and storage

• By the number of queries run

What can users adjust to control costs in Redshift Serverless?

• The number of queries

• The amount of storage

• The base and maximum RPU capacities

• The number of servers

Which feature is currently not supported in Redshift Serverless?

• Snapshot management

• CloudWatch monitoring

• Automatic scaling

• Redshift Spectrum

What is a potential drawback of using Redshift Serverless?

• It supports all Redshift features

• Connections may drop without warning

• Public endpoints are available

• Maintenance windows are predictable

What monitoring tool is used with Redshift Serverless?

• AWS Config

• AWS Inspector

• AWS CloudWatch

• AWS CloudTrail