Design Microservices Architecture with Patterns and Principles - Apache Kafka Core APIs - Producer, Consumer, Streams, a

The video tutorial provides an overview of Kafka's core APIs, including the Producer, Consumer, Streams, and Connect APIs. It explains how the Producer API publishes data to Kafka topics, the Consumer API manages message consumption using offsets, the Streams API transforms data between topics, and the Connect API integrates external systems with Kafka. The tutorial highlights the importance of these APIs in designing scalable systems.

What is the primary function of the Producer API in Kafka?

• To push data to brokers

• To manage consumer offsets

• To transform data between topics

• To consume data from brokers

How do consumers in Kafka keep track of the messages they have processed?

• By using message keys

• By using broker IDs

• By using topic names

• By using partition offsets

What is the role of the C Streams API in Kafka?

• To collect metrics from servers

• To transform data from one topic to another

• To manage consumer offsets

• To push data to brokers

What does the Connect API in Kafka facilitate?

• Producer management

• Message consumption from brokers

• Data movement between Kafka and external systems

• Data transformation between topics

Which system can Kafka Connect integrate with for intelligent analysis?

• ElasticSearch

• Redis

• MongoDB

• MySQL