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
πŸ’¬ Discuss
βœ… Correct Answer: (B) Execute a backup task if the original task is slow

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
πŸ’¬ Discuss
βœ… Correct Answer: (A) Combine intermediate key-value pairs on the mapper side

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
πŸ’¬ Discuss
βœ… Correct Answer: (B) Combine intermediate key-value pairs on the mapper side

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
πŸ’¬ Discuss
βœ… Correct Answer: (A) Join data on the mapper side

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
πŸ’¬ Discuss
βœ… Correct Answer: (B) Cache files for tasks

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
πŸ’¬ Discuss
βœ… Correct Answer: (A) Compress the map output data

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
πŸ’¬ Discuss
βœ… Correct Answer: (A) Optimize data locality for tasks

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
πŸ’¬ Discuss
βœ… Correct Answer: (A) Sort keys on the mapper side

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
πŸ’¬ Discuss
βœ… Correct Answer: (B) Combine intermediate key-value pairs on the mapper side

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
πŸ’¬ Discuss
βœ… Correct Answer: (A) Combine intermediate key-value pairs on the mapper side