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Home EngineeringComputer Science & EngineeringHadoop MCQOozie, Hadoop Libraries,Utilities and Miscellaneous Hadoop Applications

Hadoop Oozie, Libraries,Utilities,Miscellaneous App's MCQs - Hadoop Interview Objective Questions

Learn Hadoop Oozie, Hadoop Libraries,Utilities and Miscellaneous Hadoop Applications Multiple Choice Questions and Answers with explanations. Practice Hadoop Oozie, Hadoop Libraries,Utilities and Miscellaneous Hadoop Applications MCQs Online Quiz Mock Test For Objective Interview.
1. Amazon EC2 provides virtual computing environments, known as :
  • A. chunks
  • B. instances
  • C. messages
  • D. none of the mentioned
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Answer & Explanation

Answer: Option B

Explanation:

Using Amazon EC2 eliminates your need to invest in hardware up front

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2. Amazon EMR uses Hadoop processing combined with several __________ products.
  • A. AWS
  • B. ASQ
  • C. AMR
  • D. AWES
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Answer & Explanation

Answer: Option A

Explanation:

Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to process large amounts of data efficiently.

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3. Apache Bigtop uses ___________ for continuous integration testing.
  • A. Jenkinstop
  • B. Jerry
  • C. Jenkins
  • D. None of the mentioned
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Answer & Explanation

Answer: Option C

Explanation:

There are 2 Jenkins servers running for the project.

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4. _____________ is an open source system for expressive, declarative, fast, and efficient data analysis.
  • A. Flume
  • B. Flink
  • C. Flex
  • D. ESME
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Answer & Explanation

Answer: Option B

Explanation:

Stratosphere combines the scalability and programming flexibility of distributed MapReduce-like platforms with the efficiency, out-of-core execution.

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5. __________ is a cluster manager that provides resource sharing and isolation across cluster applications.
  • A. Merlin
  • B. Mesos
  • C. Max
  • D. Merge
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Answer & Explanation

Answer: Option B

Explanation:

Merlin eclipse plugin is merged with an existing eclipse plugin already at avalon.

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Related Topics:

  • Basics of Hadoop
  • Pig
  • HDFS
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  • Administering Hadoop
  • MapReduce Types and Hadoop Cluster
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  • Input and Output
  • Hive and HBase
  • Working of MapReduce

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