Design Microservices Architecture with Patterns and Principles - Implementation of CDC and Outbox Pattern with Cloud Dat

The video tutorial covers cloud databases with a focus on Change Data Capture (CDC) and the Outbox pattern. It details Azure Cosmos DB, a globally distributed multi-model database by Microsoft Azure, highlighting its support for CDC and various use cases like real-time processing and migrations. The tutorial also explores Amazon DynamoDB, emphasizing its C streams for item-level CDC and integration with AWS Lambda for business logic execution. Both databases offer near real-time data change tracking, enabling applications to respond to data modifications efficiently.

What is a key feature of Azure Cosmos DB that allows it to track and propagate data changes?

• Data Compression

• Data Encryption

• Change Data Capture

• Data Replication

How does Azure Cosmos DB's Change Data Capture work?

• By encrypting data changes

• By archiving data changes

• By monitoring transaction logs

• By compressing data changes

Which of the following is a use case for Azure Cosmos DB's Change Data Capture?

• Event-Driven Applications

• Data Archiving

• Batch Processing

• Data Encryption

What is Amazon DynamoDB's feature for capturing item-level changes in real-time?

• DynamoDB Streams

• DynamoDB Replication

• DynamoDB Backups

• DynamoDB Encryption

Which of the following is a use case for DynamoDB Streams?

• Mobile Notifications

• Batch Processing

• Data Archiving

• Data Encryption

What is a common application of DynamoDB Streams in financial services?

• Data Archiving

• Batch Processing

• Stock Market Data Tracking

• Data Encryption

Which AWS service is commonly used with DynamoDB Streams to perform business logic?

• AWS RDS

• AWS S3

• AWS Lambda

• AWS EC2