AWS Certified Data Analytics Specialty 2021 – Hands-On - DynamoDB RCU and WCU – Hands-On

AWS Certified Data Analytics Specialty 2021 – Hands-On - DynamoDB RCU and WCU – Hands-On

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

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The video tutorial explains the concepts of read and write capacity units (RCU and WCU) in tables, focusing on the ability to switch between capacity modes in DynamoDB. It covers the on-demand capacity mode, which is suitable for unpredictable workloads, and the provisioned capacity mode, which requires understanding and computing reads and writes. The tutorial also introduces the capacity calculator for estimating costs and highlights the benefits of auto scaling, which adjusts capacity based on usage. The lecture concludes with a summary and encourages practice with these settings.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key advantage of using on-demand capacity mode in DynamoDB?

It is the cheapest option available.

It is ideal for unpredictable workloads.

It allows for predictable billing.

It requires manual scaling adjustments.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the provisioned capacity mode, what tool helps you calculate the required RCUs and WCUs?

Resource Manager

DynamoDB Cost Estimator

AWS Pricing Tool

Capacity Calculator

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which consistency model is NOT mentioned in the context of read operations?

Strongly Consistent

Eventually Consistent

Transactional

Causal Consistent

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does auto scaling in DynamoDB help you achieve?

Automatic adjustment of RCUs and WCUs based on usage

Increased latency for read and write operations

Fixed pricing regardless of usage

Manual adjustment of capacity units

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When configuring auto scaling, what parameters must you define?

Read and write consistency models

Backup and restore settings

Minimum and maximum capacity, and target utilization

Item size and throughput