Hadoop MCQs with answers Page - 10

Here, you will find a collection of MCQ questions on Hadoop. Go through these questions to enhance your preparation for upcoming examinations and interviews.

To check the correct answer, simply click the View Answer button provided for each question.

Have your own questions to contribute? Click the button below to share your MCQs with others!

+ Add Question

A

Admin • 828.03K Points
Coach

Q. In advanced MapReduce, what is the significance of the Hadoop MapReduce "MapReduce speculative execution"?

  • (A) Execute multiple Map tasks in parallel
  • (B) Execute a backup task if the original task is slow
  • (C) Execute Map and Reduce tasks simultaneously
  • (D) Execute tasks in a distributed environment

A

Admin • 828.03K Points
Coach

Q. What is the primary purpose of the Hadoop MapReduce "In-Mapper Combining" technique?

  • (A) Combine intermediate key-value pairs on the mapper side
  • (B) Aggregate values on the reducer side
  • (C) Sort and shuffle data
  • (D) Distribute data to reducers

A

Admin • 828.03K Points
Coach

Q. In advanced MapReduce, what is the purpose of the Hadoop MapReduce "Map-side Aggregation" technique?

  • (A) Aggregate values on the mapper side
  • (B) Combine intermediate key-value pairs on the mapper side
  • (C) Sort and shuffle data
  • (D) Distribute data to reducers

A

Admin • 828.03K Points
Coach

Q. In advanced MapReduce, what is the significance of the Hadoop MapReduce "Map-side Join"?

  • (A) Join data on the mapper side
  • (B) Join data on the reducer side
  • (C) Sort keys on the mapper side
  • (D) Sort keys on the reducer side

A

Admin • 828.03K Points
Coach

Q. What is the purpose of the Hadoop MapReduce "DistributedCache" in advanced MapReduce?

  • (A) Store intermediate data
  • (B) Cache files for tasks
  • (C) Manage computation resources
  • (D) Execute MapReduce jobs

A

Admin • 828.03K Points
Coach

Q. In advanced MapReduce, what is the role of the Hadoop MapReduce "Map Output Compression"?

  • (A) Compress the map output data
  • (B) Compress the reduce output data
  • (C) Decompress the map output data
  • (D) Decompress the reduce output data

A

Admin • 828.03K Points
Coach

Q. What does the term "MapReduce locality optimization" refer to in advanced MapReduce?

  • (A) Optimize data locality for tasks
  • (B) Optimize task scheduling
  • (C) Optimize data storage in HDFS
  • (D) Optimize task execution in MapReduce jobs

A

Admin • 828.03K Points
Coach

Q. In advanced MapReduce, what is the purpose of the Hadoop MapReduce "Map Output Sorting"?

  • (A) Sort keys on the mapper side
  • (B) Sort keys on the reducer side
  • (C) Sort keys within a reducer
  • (D) Sort keys across multiple reducers

A

Admin • 828.03K Points
Coach

Q. What is the primary function of the Hadoop MapReduce "Map-side Aggregation" technique?

  • (A) Aggregate values on the mapper side
  • (B) Combine intermediate key-value pairs on the mapper side
  • (C) Sort and shuffle data
  • (D) Distribute data to reducers

A

Admin • 828.03K Points
Coach

Q. What is the purpose of the Hadoop MapReduce "Combiner Optimization" in advanced MapReduce?

  • (A) Combine intermediate key-value pairs on the mapper side
  • (B) Aggregate values on the reducer side
  • (C) Sort and shuffle data
  • (D) Distribute data to reducers

Add MCQ in this Category

If you want to share an MCQ question in this category, it's a great idea! It will be helpful for many other students using this website.

Share Your MCQ

Browse Categories

Click on category to learn MCQs of that category.