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

1

What is a common optimization technique to improve Hadoop MapReduce performance?

A) Increase block size B) Decrease block size C) Maintain the default block size D) Use fewer mappers

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

2

Which compression codec is commonly used for optimizing storage in Hadoop?

A) Gzip B) Snappy C) Bzip2 D) LZO

Discuss

Answer & Solution

Answer: Option B

No explanation is given for this question. Let's Discuss on Board

3

What is the purpose of Hadoop speculative execution?

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

Discuss

Answer & Solution

Answer: Option C

No explanation is given for this question. Let's Discuss on Board

4

How can data skew in a Hadoop job be addressed for optimization?

A) Increase the number of reducers B) Decrease the number of reducers C) Use a combiner function D) Use a custom partitioner

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

5

What is the purpose of the Hadoop Distributed Cache?

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

Discuss

Answer & Solution

Answer: Option B

No explanation is given for this question. Let's Discuss on Board

6

Which Hadoop component is responsible for resource negotiation between the client and the Hadoop cluster?

A) ResourceManager B) NameNode C) JobTracker D) DataNode

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

7

What is speculative execution in Hadoop, and when is it triggered?

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

Discuss

Answer & Solution

Answer: Option B

No explanation is given for this question. Let's Discuss on Board

8

What is the purpose of the Hadoop balancer tool?

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

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

9

How can the Hadoop block size affect job performance?

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

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

10

Which parameter in Hadoop configuration controls the maximum number of attempts for task execution?

A) mapreduce.task.max-attempts B) mapreduce.task.attempt.max C) mapreduce.task.max-retries D) mapreduce.task.retry.max

Discuss

Answer & Solution

Answer: Option C

No explanation is given for this question. Let's Discuss on Board

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