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

A. Increase block size

B. Decrease block size

C. Maintain the default block size

D. Use fewer mappers

A. Gzip

B. Snappy

C. Bzip2

D. LZO

A. To handle speculative workloads

B. To minimize resource usage

C. To mitigate the impact of slow-running tasks

D. To speed up task completion

A. Increase the number of reducers

B. Decrease the number of reducers

C. Use a combiner function

D. Use a custom partitioner

A. To cache frequently used HDFS data

B. To cache frequently used MapReduce code

C. To cache frequently used input data

D. To cache intermediate MapReduce results

A. ResourceManager

B. NameNode

C. JobTracker

D. DataNode

A. Executing tasks simultaneously on multiple nodes

B. Re-executing a task when it fails

C. Executing a task multiple times in parallel

D. Running a task on a random node

A. To balance the load across Hadoop nodes

B. To optimize Hadoop's network performance

C. To allocate more resources to specific nodes

D. To compress data in HDFS

A. Larger blocks can improve data locality

B. Smaller blocks lead to faster processing

C. Block size has no impact on job performance

D. Larger blocks cause increased network traffic

A. mapreduce.task.max-attempts

B. mapreduce.task.attempt.max

C. mapreduce.task.max-retries

D. mapreduce.task.retry.max