Hadoop MCQs with answers Page - 11

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

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

A

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Q. What is the purpose of the Hadoop Distributed Cache in MapReduce?

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

A

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Q. In Hadoop MapReduce, what is the role of the Hadoop Counters?

  • (A) Track the progress of MapReduce jobs
  • (B) Manage computation resources
  • (C) Execute MapReduce jobs
  • (D) Manage Hadoop ecosystem tools

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Q. What is the function of the Hadoop InputSplit in MapReduce?

  • (A) Represents a chunk of input data
  • (B) Combine intermediate key-value pairs on the mapper side
  • (C) Aggregate values on the reducer side
  • (D) Convert data into a binary format

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Q. In advanced MapReduce, what is the significance of the Hadoop Combiner class?

  • (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

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

  • (A) Execution of multiple MapReduce jobs in sequence
  • (B) Chaining multiple Map and Reduce tasks in a single job
  • (C) Combining multiple MapReduce jobs
  • (D) Parallel execution of Map tasks

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Q. In advanced MapReduce, what is the purpose of the Hadoop MapReduce "Side Data Distribution"?

  • (A) Distribute data to reducers
  • (B) Share data between Map and Reduce tasks
  • (C) Manage computation resources
  • (D) Execute MapReduce jobs

A

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Q. What is the primary function of the Hadoop MapReduce "Secondary Sort"?

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

A

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Q. In advanced MapReduce, what is the role of the Hadoop Job History Server?

  • (A) Manage computation resources
  • (B) Store historical information about completed jobs
  • (C) Execute MapReduce jobs
  • (D) Manage Hadoop ecosystem tools

A

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Q. What is the significance of the Hadoop MapReduce "Custom InputFormat" in advanced MapReduce?

  • (A) Customize the way input data is read
  • (B) Customize the way map output is formatted
  • (C) Customize the way reduce output is formatted
  • (D) Customize the partitioning logic

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