AWS Certified Data Analytics Specialty 2021 – Hands-On - DynamoDB in Big data

The video tutorial discusses various use cases for MDB, highlighting its suitability for applications requiring hot data ingestion at scale. It outlines anti-patterns for using Dynamodb, suggesting alternatives like RDS for complex transactions and S3 for storing large, low IO data. The tutorial emphasizes the importance of choosing the right database based on data characteristics, with Dynamodb being ideal for hot, smaller data and S3 for colder, larger data.

Which of the following is NOT a common use case for databases mentioned in the video?

• Ecommerce

• Weather forecasting

• Digital arts

• Mobile apps

What type of data is MDB particularly good at handling?

• Static and unchanging data

• Encrypted data

• Hot and small data

• Cold and large data

Which scenario is NOT ideal for using DynamoDB?

• Web session management

• Handling hot data at scale

• Storing metadata for S3 objects

• Applications requiring complex transactions

When is S3 a better storage option compared to DynamoDB?

• When data is hot and frequently accessed

• When data is encrypted

• When data is large and infrequently accessed

• When data requires complex transactions

What is a common pattern for storing large binary data?

• Store in S3 and metadata in DynamoDB

• Store in DynamoDB and metadata in S3

• Store entirely in DynamoDB

• Store entirely in S3