Hadoop MCQs with answers Page - 9

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A

Admin • 828.03K Points
Coach

Q. When a block is warm, some of its replicas are stored in DISK and the remaining replicas are stored in . . . . . . . .

  • (A) ROM_DISK
  • (B) ARCHIVE
  • (C) RAM_DISK
  • (D) All of the mentioned

A

Admin • 828.03K Points
Coach

Q. . . . . . . . . storage is a solution to decouple growing storage capacity from compute capacity.

  • (A) DataNode
  • (B) Archival
  • (C) Policy
  • (D) None of the mentioned

A

Admin • 828.03K Points
Coach

Q. The queue definitions and properties such as . . . . . . . . ACLs can be changed, at runtime.

  • (A) tolerant
  • (B) capacity
  • (C) speed
  • (D) all of the mentioned

A

Admin • 828.03K Points
Coach

Q. What is the significance of the Hadoop MapReduce "MapReduce over HBase" in advanced MapReduce?

  • (A) Process data stored in HBase
  • (B) Process data stored in HDFS
  • (C) Execute MapReduce jobs
  • (D) Manage computation resources

A

Admin • 828.03K Points
Coach

Q. In advanced MapReduce, what is the purpose 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 speculative execution" refer to in advanced MapReduce?

  • (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. In advanced MapReduce, what is the primary purpose of the Hadoop MapReduce "OutputCommitter"?

  • (A) Manage storage layer
  • (B) Manage computation resources
  • (C) Execute MapReduce jobs
  • (D) Manage Hadoop ecosystem tools

A

Admin • 828.03K Points
Coach

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

  • (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. In advanced MapReduce, what is the purpose 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

Admin • 828.03K Points
Coach

Q. What is the role of the Hadoop MapReduce "Map Output Sorting" in advanced MapReduce?

  • (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

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