Practice Fault-tolerant Storage (1.6.1.2) - Cloud Applications: MapReduce, Spark, and Apache Kafka
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Fault-Tolerant Storage

Practice - Fault-Tolerant Storage

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does HDFS stand for?

💡 Hint: Look at the first letters of each word.

Question 2 Easy

What is the typical number of data replicas in HDFS?

💡 Hint: Remember that it’s often referred to as replication.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary purpose of HDFS?

Store small files
Store large datasets reliably
Process data

💡 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

💡 Hint: Remember the replication concept we discussed.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

💡 Hint: Think about how replication helps in failure scenarios.

Challenge 2 Hard

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

💡 Hint: Consider how close proximity to data might change processing speeds.

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Reference links

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