Practice Hdfs (hadoop Distributed File System) (1.6.1) - Cloud Applications: MapReduce, Spark, and Apache Kafka
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HDFS (Hadoop Distributed File System)

Practice - HDFS (Hadoop Distributed File System)

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does HDFS stand for?

💡 Hint: The acronym relates to Hadoop.

Question 2 Easy

Why is replication important in HDFS?

💡 Hint: Consider what happens if a machine fails.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary purpose of HDFS?

To store data locally
To provide distributed storage for big data
To improve data processing speed

💡 Hint: Think about what big data needs in terms of storage.

Question 2

True or False: HDFS allows writing data in an append-only fashion.

True
False

💡 Hint: Consider how data is added to files.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are tasked with designing a big data application that processes user clickstream data. Describe how HDFS can be utilized in your application.

💡 Hint: Consider the size and frequency of data generation.

Challenge 2 Hard

Discuss the potential limitations of using HDFS compared to traditional database systems, particularly for certain types of applications.

💡 Hint: Think about the differences in data access patterns.

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