Category Archives: Hadoop MCQs

Which MapReduce phase is theoretically able to utilize features of the underlying file system in order to optimize parallel execution? | Hadoop Mcqs

A. Split B. Map C. Combine Ans: A

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What is the input to the Reduce function? | Hadoop Mcqs

A. One key and a list of all values associated with that key. B. One key and a list of some values associated with that key. C. An arbitrarily sized list of key/value pairs. Ans: A

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How can a distributed filesystem such as HDFS provide opportunities for optimization of a MapReduce operation? | Hadoop Mcqs

A. Data represented in a distributed filesystem is already sorted. B. Distributed filesystems must always be resident in memory, which is much faster than disk. C. Data storage and processing can be co-located on the same node, so that most … Continue reading

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Which of the following MapReduce execution frameworks focus on execution in sharedmemory environments? | Hadoop Mcqs

A. Hadoop B. Twister C. Phoenix Ans: C

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What is the implementation language of the Hadoop MapReduce framework? | Hadoop Mcqs

A. Java B. C C. FORTRAN D. Python Ans: A

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The Combine stage, if present, must perform the same aggregation operation as Reduce. | Hadoop Mcqs

A. True B. False Ans: B

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Which of the following statements most accurately describes the general approach to error recovery when using MapReduce? | Hadoop Mcqs

A. Ranger B. Longhorn C. Lonestar D. Spur Ans: A

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Which MapReduce stage serves as a barrier, where all previous stages must be completed before it may proceed? | Hadoop Mcqs

A. Combine B. Group (a.k.a. ‘shuffle’) C. Reduce D. Write Ans: A

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Which of the following scenarios makes HDFS unavailable? | Hadoop Mcqs

A. JobTracker failure B. TaskTracker failure C. DataNode failure D. NameNode failure E. Secondary NameNode failure Answer: A

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You are running a Hadoop cluster with all monitoring facilities properly configured. Which scenario will go undetected.? | Hadoop Mcqs

A. Map or reduce tasks that are stuck in an infinite loop. B. HDFS is almost full. C. The NameNode goes down. D. A DataNode is disconnectedfrom the cluster. E. MapReduce jobs that are causing excessive memory swaps. Answer: C

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