Practice Log Aggregation - 3.2.4 | Week 8: Cloud Applications: MapReduce, Spark, and Apache Kafka | Distributed and Cloud Systems Micro Specialization
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3.2.4 - Log Aggregation

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is log aggregation?

πŸ’‘ Hint: Think about how we gather logs from multiple services.

Question 2

Easy

What is a topic in Kafka?

πŸ’‘ Hint: Consider how topics are similar to folders.

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 is log aggregation?

  • The process of sending logs to a printer
  • Consolidating logs from multiple sources
  • Analyzing logs for errors

πŸ’‘ Hint: Think about why we collect logs.

Question 2

True or False: Kafka can only process data from one source at a time.

  • True
  • False

πŸ’‘ Hint: Recall how Kafka manages topics and partitions.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a log aggregation system using Kafka. Outline the components and describe how modularity enhances its effectiveness.

πŸ’‘ Hint: Think of how different services can independently publish to Kafka.

Question 2

Evaluate the impact of fault tolerance in a Kafka-based log aggregation system. How does it ensure data integrity?

πŸ’‘ Hint: Consider how failures are handled in distributed systems.

Challenge and get performance evaluation