Practice Fault-Tolerant Storage - 1.6.1.2 | Week 8: Cloud Applications: MapReduce, Spark, and Apache Kafka | Distributed and Cloud Systems Micro Specialization
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1.6.1.2 - Fault-Tolerant Storage

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does HDFS stand for?

๐Ÿ’ก Hint: Look at the first letters of each word.

Question 2

Easy

What is the typical number of data replicas in HDFS?

๐Ÿ’ก Hint: Remember that itโ€™s often referred to as replication.

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 the primary purpose of HDFS?

  • Store small files
  • Store large datasets reliably
  • Process data

๐Ÿ’ก Hint: Think about the key size of the data it handles.

Question 2

True or False: HDFS replicates data blocks to ensure fault tolerance.

  • True
  • False

๐Ÿ’ก Hint: Remember the replication concept we discussed.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Assume a MapReduce job is interrupted due to a DataNode failure. Explain how HDFS manages data to ensure the job can continue without data loss.

๐Ÿ’ก Hint: Think about how replication helps in failure scenarios.

Question 2

Discuss the implications of data locality in HDFS and how it affects the efficiency of distributed applications.

๐Ÿ’ก Hint: Consider how close proximity to data might change processing speeds.

Challenge and get performance evaluation