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 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

How can you optimize Hadoop performance when dealing with large-scale data joins?

A) Use the MapReduce framework for all joins B) Use Hadoop Streaming for efficient joins C) Optimize join keys and consider using Map-side joins D) Increase the number of reducers

Discuss

Answer & Solution

Answer: Option C

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

Which Hadoop daemon is responsible for managing and scheduling tasks on the datanodes?

A) TaskTracker B) NodeManager C) ResourceManager D) JobTracker

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 Liveliness Monitor in the ResourceManager?

A) Monitors the liveliness of HDFS blocks B) Monitors the health of task nodes C) Monitors the health of the NameNode D) Monitors the availability of MapReduce jobs

Discuss

Answer & Solution

Answer: Option B

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

How can you optimize Hadoop's shuffle phase in a MapReduce job?

A) Increase the number of reducers B) Decrease the number of reducers C) Use a custom partitioner and combiner D) Use default settings for shuffle

Discuss

Answer & Solution

Answer: Option C

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

What is the significance of Hadoop's speculative execution in a job with multiple reducers?

A) It helps in load balancing across reducers B) It speeds up the entire job execution C) It increases the replication factor of output data D) It minimizes the use of speculative execution

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

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

How can you prevent data skew in a Hadoop job with uneven key distribution?

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

Discuss

Answer & Solution

Answer: Option C

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

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

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