AWS Certified Data Analytics Specialty 2021 – Hands-On - Redshift Integration / WLM / Vacuum / Anti-Patterns

AWS Certified Data Analytics Specialty 2021 – Hands-On - Redshift Integration / WLM / Vacuum / Anti-Patterns

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

Quizizz Content

FREE Resource

The video tutorial covers Amazon Redshift's integration with Amazon S3 for data import/export, workload management using WLM, and concurrency scaling to handle increased query loads. It explains the differences between automatic and manual workload management, the use of short query acceleration, and the VACUUM command for data maintenance. The tutorial also highlights anti-patterns to avoid when using Redshift, emphasizing its strengths in handling large-scale analytic queries.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which AWS service can be used to automate data movement and transformation in and out of Redshift tables?

AWS Data Pipeline

AWS CodeDeploy

AWS Lambda

AWS CloudFormation

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which command is used to load data from a single Amazon DynamoDB table into Redshift?

COPY

LOAD

EXPORT

INSERT

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of Redshift Workload Management (WLM)?

To manage data storage

To prioritize workloads and manage query queues

To enhance security

To automate backups

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What feature allows Redshift to automatically add cluster capacity for handling sudden increases in concurrent read queries?

Concurrency Scaling

Auto Scaling

Elastic Load Balancing

Data Replication

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many different queues can be defined in Automatic Workload Management?

8

10

12

5

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the default concurrency level for a manual workload management queue?

50

10

5

1

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of Short Query Acceleration (SQA) in Redshift?

To enhance data security

To prioritize long-running queries

To increase storage capacity

To accelerate short-running queries

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