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Welcome to the Hadoop IO MCQs Page

Dive deep into the fascinating world of Hadoop IO with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Hadoop IO, a crucial aspect of Hadoop. In this section, you will encounter a diverse range of MCQs that cover various aspects of Hadoop IO, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Hadoop.

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Check out the MCQs below to embark on an enriching journey through Hadoop IO. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Hadoop.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Hadoop IO. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Hadoop IO MCQs | Page 2 of 6

Q11.
Which of the following supports splittable compression?
Discuss
Answer: (a).LZO
Q12.
Which of the following is the slowest compression technique?
Discuss
Answer: (b).Bzip2
Q13.
Gzip (short for GNU zip) generates compressed files that have a _________ extension.
Discuss
Answer: (b)..gz
Q14.
Which of the following is based on the DEFLATE algorithm?
Discuss
Answer: (c).Gzip
Q15.
__________ typically compresses files to within 10% to 15% of the best available techniques.
Discuss
Answer: (b).Bzip2
Q16.
The LZO compression format is composed of approximately __________ blocks of compressed data.
Discuss
Answer: (b).256k
Q17.
The HDFS client software implements __________ checking on the contents of HDFS files.
Discuss
Answer: (c).checksum
Q18.
The ___________ machine is a single point of failure for an HDFS cluster.
Discuss
Answer: (b).NameNode
Q19.
The ____________ and the EditLog are central data structures of HDFS.
Discuss
Answer: (b).FsImage
Q20.
__________ support storing a copy of data at a particular instant of time.
Discuss
Answer: (c).Snapshots
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