Practice Persistent & Immutable Log - 3.1.3 | Week 8: Cloud Applications: MapReduce, Spark, and Apache Kafka | Distributed and Cloud Systems Micro Specialization
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3.1.3 - Persistent & Immutable Log

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does it mean for Kafka's logs to be persistent?

πŸ’‘ Hint: Think about what persistence means in data storage.

Question 2

Easy

Define immutable in the context of Kafka logs.

πŸ’‘ Hint: Consider the implications of changing data once it's recorded.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does it mean when we say Kafka logs are persistent?

  • They are stored in memory
  • They are durably stored on disk
  • They can be changed easily

πŸ’‘ Hint: Think about the nature of data storage durability.

Question 2

True or False: Consumers in Kafka can read historical messages at their own pace.

  • True
  • False

πŸ’‘ Hint: Consider how consumers operate within Kafka's architecture.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You are designing a new real-time analytics application using Kafka. Explain how you would leverage Kafka's persistent and immutable log to ensure data integrity and availability.

πŸ’‘ Hint: Think about how data flows through Kafka and what configurations would enhance reliability.

Question 2

Discuss potential challenges in managing an immutable log in a Kafka system, particularly concerning disk space and data retrieval efficiency.

πŸ’‘ Hint: Consider how data storage impacts performance and integrity.

Challenge and get performance evaluation