Practice Use Cases for Kafka: Driving Modern Data Architectures - 3.2 | Week 8: Cloud Applications: MapReduce, Spark, and Apache Kafka | Distributed and Cloud Systems Micro Specialization
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3.2 - Use Cases for Kafka: Driving Modern Data Architectures

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does Kafka primarily serve in modern data architectures?

πŸ’‘ Hint: Think about what Kafka handles in real time.

Question 2

Easy

How does Kafka's publish-subscribe model work?

πŸ’‘ Hint: Consider how news delivery works.

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

Kafka is primarily used as a:

  • Traditional message queue
  • Distributed streaming platform
  • Database System

πŸ’‘ Hint: What does Kafka focus on?

Question 2

True or False: Kafka retains messages for a configurable period, even after consumers read them.

  • True
  • False

πŸ’‘ Hint: Consider the implications of message retention.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a system using Kafka for a real-time analytics application. Describe the architecture, data flow, and use of Kafka components.

πŸ’‘ Hint: Think about how data flows from source to insight.

Question 2

Evaluate the pros and cons of using Kafka for log aggregation compared to traditional logging mechanisms.

πŸ’‘ Hint: Consider both the technical and operational perspectives.

Challenge and get performance evaluation