Practice Distributed Log Systems (e.g., Apache BookKeeper, HDFS Append-Only Files) - 3.8.3 | Week 8: Cloud Applications: MapReduce, Spark, and Apache Kafka | Distributed and Cloud Systems Micro Specialization
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3.8.3 - Distributed Log Systems (e.g., Apache BookKeeper, HDFS Append-Only Files)

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define a distributed log system in your own words.

πŸ’‘ Hint: Think about how data is managed and accessed.

Question 2

Easy

What does immutability in data storage mean?

πŸ’‘ Hint: Consider why this property might be beneficial.

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 immutability mean in the context of data storage?

  • Data can be changed
  • Data cannot be modified after it's written
  • Data is deleted after processing

πŸ’‘ Hint: Think about the implications of modifying data.

Question 2

True or False: Distributed log systems allow for data replay.

  • True
  • False

πŸ’‘ Hint: Consider scenarios where historical data is important.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a simple architecture using a distributed log system for an event sourcing application. Include major components and their roles.

πŸ’‘ Hint: Consider how each component interacts with the log system.

Question 2

How would you implement error recovery in a distributed log system? Outline the steps and technologies you would use.

πŸ’‘ Hint: Think about how systems achieve high availability and data integrity.

Challenge and get performance evaluation