Best Practices and Optimization of Hadoop MCQ question and answer with solution | Hadoop MCQs

A. By configuring multiple active Namenodes

B. By using backup Namenodes

C. By replicating the Namenode metadata

D. By compressing Namenode data

A. yarn.nodemanager.resource.memory-mb

B. yarn.nodemanager.container-max-heap-mb

C. yarn.scheduler.maximum-allocation-mb

D. yarn.scheduler.maximum-container-mb

A. To group jobs based on priority

B. To segregate tasks based on input size

C. To allocate resources based on task complexity

D. To randomly assign resources to tasks

A. Larger splits can improve data locality

B. Smaller splits lead to faster processing

C. Split size has no impact on job performance

D. Larger splits cause increased network traffic

A. Speculatively run tasks that are likely to finish slower

B. Speculatively run tasks that are likely to finish faster

C. Speculatively run tasks randomly

D. Do not use speculative execution

A. Based on the configured weights for each job

B. Based on the job's input size

C. Based on the job's execution time

D. Randomly assigns resources to jobs

A. Determines where to place the first replica

B. Balances the number of replicas per block

C. Controls block replication across the cluster

D. Manages block deletion in HDFS

A. Set "mapred.map.tasks.speculative.execution" to true

B. Set "mapred.reduce.tasks.speculative.execution" to true

C. Use the "mapred.speculative.execution" configuration

D. Speculative execution cannot be controlled

A. Takes periodic checkpoints of the HDFS metadata

B. Manages Hadoop's secondary storage

C. Acts as a backup Namenode in case of failures

D. Optimizes MapReduce job performance

A. Higher replication improves fault tolerance

B. Lower replication reduces network overhead

C. Replication factor has no impact on performance

D. Replication factor is only for backup