Practice Hdfs (hadoop Distributed File System) (13.2.2.1) - Big Data Technologies (Hadoop, Spark)

Practice: HDFS (Hadoop Distributed File System)

Lesson 13.2.2.1Big Data Technologies (Hadoop, Spark)

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8 questions

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3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does HDFS stand for?
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Think about the main open-source project related to big data.
Question 2.
What is the default size of a block in HDFS?
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Consider the large file sizes handled by HDFS.
3Question 3.
What is the primary purpose of HDFS?
- To store small files efficiently
- To provide a distributed storage platform for big data
- To perform real-time data processing
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Think about the main functions of HDFS within big data.
4Question 4.
True or False: HDFS replicates each block of data for fault tolerance.
- True
- False
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Consider how reliability is ensured in a network.
Question 5.
You are tasked with designing a big data system for a retail application that handles millions of transactions. How would you leverage HDFS to ensure data integrity and accessibility?
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Consider the role of replication and access in your design.
Question 6.
Compare the performance of HDFS with a traditional file system when handling large video files for processing. What considerations must be taken into account?
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Think about how each system is optimized for different use cases.

4 more questions in this section. Enroll free to practise them all.