AWS Certified Data Analytics Specialty 2021 - Hands-On! - Amazon DynamoDB Partitions

The video tutorial explains the internal workings of DynamoDB, focusing on partitions. It covers the limits of partitions in terms of RCU, WCU, and data size. The tutorial describes how data is distributed using a hashing algorithm and how to calculate the number of partitions needed based on capacity and size. It also discusses the even distribution of RCU and WCU across partitions and the concept of hot partitions, which can lead to throttling. Understanding these concepts is crucial for managing DynamoDB tables effectively.

What is the maximum amount of data a single DynamoDB partition can hold?

• 20 gigabytes

• 5 gigabytes

• 10 gigabytes

• 15 gigabytes

How is the number of partitions in a DynamoDB table determined?

• By the total RCU and WCU divided by their respective limits

• By the number of items in the table

• By the number of users accessing the table

• By the size of each item in the table

If a table has 6000 RCU and 2400 WCU, how are these capacities distributed across three partitions?

• Each partition gets 3000 RCU and 1200 WCU

• Each partition gets 1000 RCU and 400 WCU

• Each partition gets 2000 RCU and 800 WCU

• Each partition gets 6000 RCU and 2400 WCU

What is a 'hot partition' in the context of DynamoDB?

• A partition that has the least amount of data

• A partition that is frequently accessed and exceeds its RCU/WCU limits

• A partition that stores the most data

• A partition that is rarely accessed

Why is it important to understand how DynamoDB distributes data?

• To decrease the number of partitions

• To reduce the cost of using DynamoDB

• To optimize the performance and avoid throttling

• To increase the number of partitions