Best Practices And Optimization Of Hadoop — Part 1 MCQs with Explanations

Increase block size is the correct answer to “What is a common optimization technique to improve Hadoop MapReduce performance”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Snappy is the correct answer to “Which compression codec is commonly used for optimizing storage in Hadoop”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

To mitigate the impact of slow-running tasks is the correct answer to “What is the purpose of Hadoop speculative execution”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Increase the number of reducers is the correct answer to “How can data skew in a Hadoop job be addressed for optimization”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

To cache frequently used MapReduce code is the correct answer to “What is the purpose of the Hadoop Distributed Cache”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

ResourceManager is the correct answer to “Which Hadoop component is responsible for resource negotiation between the client and the Hadoop cluster”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Re-executing a task when it fails is the correct answer to “What is speculative execution in Hadoop, and when is it triggered”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

To balance the load across Hadoop nodes is the correct answer to “What is the purpose of the Hadoop balancer tool”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Larger blocks can improve data locality is the correct answer to “How can the Hadoop block size affect job performance”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

mapreduce.task.max-retries is the correct answer to “Which parameter in Hadoop configuration controls the maximum number of attempts for task execution”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

To mitigate the impact of slow-running tasks is the correct answer to “What is the purpose of the Hadoop speculative execution”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Merge small files into larger ones is the correct answer to “How can you optimize the performance of a Hadoop cluster when dealing with small files”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

To mitigate the impact of slow-running tasks is the correct answer to “What is the purpose of Hadoop's speculative execution feature”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Ensures fair distribution of resources is the correct answer to “What is the role of the Fair Scheduler in Hadoop”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

By replicating data across multiple nodes is the correct answer to “How does Hadoop handle node failures in a cluster”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Data Replication is the correct answer to “Which Hadoop feature helps in fault tolerance by storing multiple copies of data across the cluster”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Decrease the number of Combiners is the correct answer to “How can you improve the performance of a Hadoop job by optimizing the use of Combiners”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Provides guaranteed capacity to specific users is the correct answer to “What is the purpose of the Hadoop CapacityScheduler”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

By running a copy of the task on another node is the correct answer to “How does Hadoop handle speculative execution at the task level”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Optimizes data locality by considering rack information is the correct answer to “What is the significance of the Hadoop Rack Awareness feature”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

By configuring multiple active Namenodes is the correct answer to “How can Hadoop Namenode High Availability (HA) be achieved”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

yarn.scheduler.maximum-allocation-mb is the correct answer to “Which Hadoop configuration property controls the maximum number of containers a node can run concurrently”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

To group jobs based on priority is the correct answer to “In Hadoop, what is the purpose of the Fair Scheduler's pool concept”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Smaller splits lead to faster processing is the correct answer to “How can the Hadoop job's input split size impact job performance”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Speculatively run tasks that are likely to finish slower is the correct answer to “What is Hadoop's speculative execution policy for reducing job completion times”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Based on the configured weights for each job is the correct answer to “How does the Hadoop Fair Scheduler allocate resources among jobs in a fair manner”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Controls block replication across the cluster is the correct answer to “What is the purpose of Hadoop's Block Placement Policy”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Use the "mapred.speculative.execution" configuration is the correct answer to “How can speculative execution be controlled at the job level in Hadoop”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Takes periodic checkpoints of the HDFS metadata is the correct answer to “What is the role of the Hadoop Secondary NameNode”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Higher replication improves fault tolerance is the correct answer to “How can the replication factor of Hadoop HDFS impact performance and fault tolerance”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Optimize join keys and consider using Map-side joins is the correct answer to “How can you optimize Hadoop performance when dealing with large-scale data joins”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

NodeManager is the correct answer to “Which Hadoop daemon is responsible for managing and scheduling tasks on the datanodes”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Monitors the health of task nodes is the correct answer to “What is the purpose of the Hadoop Liveliness Monitor in the ResourceManager”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Use a custom partitioner and combiner is the correct answer to “How can you optimize Hadoop's shuffle phase in a MapReduce job”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

It helps in load balancing across reducers is the correct answer to “What is the significance of Hadoop's speculative execution in a job with multiple reducers”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Use a custom partitioner is the correct answer to “How can you prevent data skew in a Hadoop job with uneven key distribution”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Merge small files into larger ones is the correct answer to “How can you optimize Hadoop job performance when working with small files”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Ensures fair distribution of resources is the correct answer to “What is the role of the Hadoop Fair Scheduler in a multi-user environment”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Manages the shuffling of data between map and reduce tasks is the correct answer to “What is the purpose of the Hadoop Shuffle Handler in MapReduce”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.

Wink is the correct answer to “Apache . . . . . . . . is a project that enables development and consumption of REST style web services.”. This question is standard in competitive examination syllabi for Best Practices And Optimization Of Hadoop.