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When NOT to Use Apache Kafka: Limitations and Qualifications

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When NOT to Use Apache Kafka: Limitations and Qualifications

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Questions and Answers

What is the primary purpose of Apache Kafka?

Processing data in motion (correct)
Processing static data
Processing data asynchronously
Processing data at rest

Why is understanding the limitations of Apache Kafka important?

To improve its adoption across industries
To maximize its use for all types of data processing
To avoid using it for tasks where it lacks needed capabilities (correct)
To speed up data processing significantly

What common misconception about Apache Kafka is highlighted in the text?

Kafka is not suitable for real-time data processing
Kafka is a database management system
Kafka is a message queue (correct)
Kafka can only be used in the tech industry

In what scenarios should Apache Kafka NOT be used?

When immediate data delivery is critical (B) Signup and view all the answers

Why is Kafka often considered the de facto standard for event streaming?

For its significant adoption growth across industries (D) Signup and view all the answers

What type of content can users find in the blog post mentioned in the text?

Use cases and case studies related to Apache Kafka (D) Signup and view all the answers

What is the primary reason for Kafka's unique combination of characteristics?

It is complementary to other technologies, allowing it to be combined with the right tools for specific jobs. (C) Signup and view all the answers

Which statement best describes the relationship between Apache Kafka and Apache Flink?

Apache Flink is becoming the de facto standard for stream processing, while Kafka remains the standard for other use cases. (A) Signup and view all the answers

Based on the information provided, which of the following is NOT a recommended use case for Apache Kafka?

Replacing traditional databases with Kafka for all data storage and retrieval needs. (D) Signup and view all the answers

Which of the following statements accurately describes the competitive landscape for Apache Kafka?

Competitive technologies like Pulsar, Redpanda, and WarpStream are trying to gain market share by leveraging the Kafka protocol. (A) Signup and view all the answers

What is the purpose of the blog post mentioned regarding error handling in Apache Kafka?

To explore best practices for implementing error handling using a Dead Letter Queue in Kafka infrastructure. (A) Signup and view all the answers

Which of the following statements is NOT mentioned or implied in the text?

Kafka is suitable for replacing traditional databases in all data storage and retrieval scenarios. (C) Signup and view all the answers