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Best Practices And Optimization Of Hadoop MCQs

Practice Best Practices And Optimization Of Hadoop MCQs for competitive exams.

Best Practices And Optimization Of Hadoop MCQs

Practice questions from this topic.

What is the purpose of the Hadoop Shuffle Handler in MapReduce?

  1. A. Manages the shuffling of data between map and reduce tasks
  2. B. Handles data replication in HDFS
  3. C. Coordinates task execution in a Hadoop job
  4. D. Optimizes task scheduling in Hadoop
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What is the role of the Hadoop Fair Scheduler in a multi-user environment?

  1. A. Ensures fair distribution of resources
  2. B. Prioritizes tasks based on input size
  3. C. Allocates resources based on task complexity
  4. D. Randomly assigns resources to tasks
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How can you optimize Hadoop job performance when working with small files?

  1. A. Use Hadoop Archive (HAR) files
  2. B. Increase the block size of HDFS
  3. C. Decrease the replication factor of small files
  4. D. Merge small files into larger ones
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How can you prevent data skew in a Hadoop job with uneven key distribution?

  1. A. Increase the number of reducers
  2. B. Decrease the number of reducers
  3. C. Use a custom partitioner
  4. D. Use a combiner function
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What is the significance of Hadoop's speculative execution in a job with multiple reducers?

  1. A. It helps in load balancing across reducers
  2. B. It speeds up the entire job execution
  3. C. It increases the replication factor of output data
  4. D. It minimizes the use of speculative execution
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How can you optimize Hadoop's shuffle phase in a MapReduce job?

  1. A. Increase the number of reducers
  2. B. Decrease the number of reducers
  3. C. Use a custom partitioner and combiner
  4. D. Use default settings for shuffle
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What is the purpose of the Hadoop Liveliness Monitor in the ResourceManager?

  1. A. Monitors the liveliness of HDFS blocks
  2. B. Monitors the health of task nodes
  3. C. Monitors the health of the NameNode
  4. D. Monitors the availability of MapReduce jobs
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Which Hadoop daemon is responsible for managing and scheduling tasks on the datanodes?

  1. A. TaskTracker
  2. B. NodeManager
  3. C. ResourceManager
  4. D. JobTracker
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How can you optimize Hadoop performance when dealing with large-scale data joins?

  1. A. Use the MapReduce framework for all joins
  2. B. Use Hadoop Streaming for efficient joins
  3. C. Optimize join keys and consider using Map-side joins
  4. D. Increase the number of reducers
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How can the replication factor of Hadoop HDFS impact performance and fault tolerance?

  1. A. Higher replication improves fault tolerance
  2. B. Lower replication reduces network overhead
  3. C. Replication factor has no impact on performance
  4. D. Replication factor is only for backup
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What is the role of the Hadoop Secondary NameNode?

  1. A. Takes periodic checkpoints of the HDFS metadata
  2. B. Manages Hadoop's secondary storage
  3. C. Acts as a backup Namenode in case of failures
  4. D. Optimizes MapReduce job performance
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How can speculative execution be controlled at the job level in Hadoop?

  1. A. Set "mapred.map.tasks.speculative.execution" to true
  2. B. Set "mapred.reduce.tasks.speculative.execution" to true
  3. C. Use the "mapred.speculative.execution" configuration
  4. D. Speculative execution cannot be controlled
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