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

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Each section contains 100 MCQs on Best Practices and Optimization of Hadoop .

What is the purpose of the 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

How can you optimize the performance of a Hadoop cluster when dealing with small files?

A) Use Hadoop Archive (HAR) files B) Increase the block size of HDFS C) Decrease the replication factor of small files D) Merge small files into larger ones

Discuss

Answer & Solution

Answer: Option D

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

What is the purpose of Hadoop's speculative execution feature?

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

What is the role of the Fair Scheduler in Hadoop?

A) Ensures fair distribution of resources B) Prioritizes tasks based on input size C) Allocates resources based on task complexity D) Randomly assigns resources to tasks

Discuss

Answer & Solution

Answer: Option A

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

How does Hadoop handle node failures in a cluster?

A) By replicating data across multiple nodes B) By increasing the block size of HDFS C) By compressing data in HDFS D) By decreasing the replication factor

Discuss

Answer & Solution

Answer: Option A

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

Which Hadoop feature helps in fault tolerance by storing multiple copies of data across the cluster?

A) Data Replication B) Speculative Execution C) Block Size D) Compression Codec

Discuss

Answer & Solution

Answer: Option A

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

How can you improve the performance of a Hadoop job by optimizing the use of Combiners?

A) Increase the number of Combiners B) Decrease the number of Combiners C) Use Combiners only for map tasks D) Use Combiners for both map and reduce tasks

Discuss

Answer & Solution

Answer: Option B

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

What is the purpose of the Hadoop CapacityScheduler?

A) Ensures fair distribution of resources B) Prioritizes tasks based on input size C) Provides guaranteed capacity to specific users D) Randomly assigns resources to tasks

Discuss

Answer & Solution

Answer: Option C

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

How does Hadoop handle speculative execution at the task level?

A) By running a copy of the task on another node B) By increasing the task timeout period C) By ignoring speculative execution D) By reducing the replication factor

Discuss

Answer & Solution

Answer: Option A

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

What is the significance of the Hadoop Rack Awareness feature?

A) Optimizes data locality by considering rack information B) Balances data across racks C) Allocates more resources to specific racks D) Randomly assigns tasks to racks

Discuss

Answer & Solution

Answer: Option A

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

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