AWS Certified Data Analytics Specialty 2021 – Hands-On - DynamoDB Overview

The video tutorial provides an overview of NoSQL databases, contrasting them with traditional RDBMS systems. It highlights the scalability benefits of NoSQL, particularly DynamoDB, which offers horizontal scaling and low latency. The tutorial explains DynamoDB's structure, including tables, primary keys, and attributes, and provides guidance on selecting effective primary keys for optimal data distribution. An exercise on choosing partition keys is included to reinforce learning.

What is a key difference between traditional RDBMS and NoSQL databases?

• RDBMS primarily supports vertical scaling.

• NoSQL databases cannot store large datasets.

• NoSQL databases require a fixed schema.

• RDBMS supports horizontal scaling by default.

Which of the following is a limitation of NoSQL databases?

• They require complex schemas.

• They are not scalable.

• They do not support query joins.

• They cannot handle large volumes of data.

What is a key feature of DynamoDB?

• It offers high availability and scalability.

• It does not integrate with AWS services.

• It is a relational database.

• It requires manual scaling.

In DynamoDB, what is the purpose of a partition key?

• To ensure data is stored in a single location.

• To provide a unique identifier for each item.

• To limit the number of rows in a table.

• To perform complex queries.

What is the maximum size of data an item can hold in DynamoDB?

• 1 MB

• 400 KB

• 500 KB

• 200 KB

Which data type is NOT supported by DynamoDB?

• String

• Boolean

• Float

• Binary

When choosing a partition key for a movie database in DynamoDB, which option is best for maximizing data distribution?

• Movie Language

• Producer Name

• Movie ID

• Lead Actor Name