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When NOT to Use Apache Kafka

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Questions and Answers

What is the primary purpose of Apache Kafka?

Streaming and processing data in motion (correct)

Storing data at rest

Querying historical data

Processing static data

When considering limitations of Apache Kafka, what question is commonly asked?

How to migrate data to Kafka?

When to use Kafka efficiently?

When NOT to use Apache Kafka? (correct)

How to use Kafka effectively?

What misconception about Apache Kafka is mentioned in the text?

Kafka is a database management system

Kafka is a message queue (correct)

Kafka is a cloud storage solution

Kafka is a real-time analytics tool

In what context does the text suggest watching a lightboard video?

To learn about when NOT to use Apache Kafka Signup and view all the answers

What characteristic distinguishes Apache Kafka from traditional message queues?

Capability to process data in motion Signup and view all the answers

Why is it important to understand when NOT to use Apache Kafka according to the text?

To avoid unnecessary resource wastage Signup and view all the answers

What makes Apache Kafka unique and successful?

Its ability to cater to a specific problem like data ingestion into a data lake or warehouse Signup and view all the answers

Why is Kafka complementary to other technologies?

Different technologies can be combined with Kafka for optimal results Signup and view all the answers

What is the main reason for many open-source stream processing frameworks emerging?

To leverage the Kafka protocol and gain market share Signup and view all the answers

Why is Apache Flink becoming the de facto standard for stream processing?

For its effectiveness in stream processing, although Kafka Streams also has specific use cases Signup and view all the answers

In what aspect does the blog post about error handling using a Dead Letter Queue in Apache Kafka focus?

Best practices for reliable real-time error handling in Kafka infrastructure Signup and view all the answers

What do real-world case studies mentioned in the article about error handling focus on?

How prominent organizations handle errors at a large scale Signup and view all the answers