What is the purpose of the MapReduce "Partitioner"?

What is the purpose of the Partitioner in MapReduce?

A

Distribute data across multiple nodes

B

Aggregate values on the reducer side

C

Sort and shuffle data

D

Determine the reducer for each key

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

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

Which of the following is the default Partitioner for Mapreduce?

A

MergePartitioner

B

HashedPartitioner

C

HashPartitioner

D

None of the mentioned

What is the role of the Partitioner in a MapReduce application?

A

Distribute data across multiple nodes

B

Sort and shuffle data

C

Combine intermediate key-value pairs on the mapper side

D

Determine the reducer for each key

What is the primary function of the Hadoop Partitioner in a MapReduce application?

A

Distribute data across multiple nodes

B

Combine intermediate key-value pairs on the mapper side

C

Sort and shuffle data

D

Determine the reducer for each key

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

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

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

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

What is the purpose of the MapReduce "Partitioner"?

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