Hadoop Mahout MCQs

This section focuses on "Mahout" in Hadoop. These Multiple Choice Questions (MCQ) should be practiced to improve the hadoop skills required for various interviews (campus interviews, walk-in interviews, company interviews), placements, entrance exams and other competitive examinations.

1. Which of the following is true about mahout?

A. A mahout is one who drives an elephant as its master.
B. Apache Mahout is an open source project that is primarily used for creating scalable machine learning algorithms
C. Mahout lets applications to analyze large sets of data effectively and in quick time.
D. All of the above

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2. In which year Apache Mahout started?

A. 2007
B. 2008
C. 2009
D. 2010

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3. Mahout provides ____________ libraries for common and primitive Java collections.

A. python
B. perl
C. java
D. C

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4. Which of the following is not a features of Mahout?

A. Mahout lets applications to analyze large sets of data effectively and in quick time.
B. Mahout includes matrix and vector libraries.
C. Mahout comes with distributed fitness function capabilities for evolutionary programming.
D. All of the above

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5. Mahout provides an implementation of a ______________ identification algorithm which scores collocations using log-likelihood ratio.

A. collocation
B. compaction
C. collection
D. None of the above

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6. Point out the wrong statement.

A. 'Taste' collaborative-filtering recommender component of Mahout was originally a separate project and can run standalone without Hadoop
B. Integration of Mahout with initiatives such as the Pregel-like Giraph are actively under discussion
C. Calculating the LLR is very straightforward
D. None of the above

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7. ____________ generates NGrams and counts frequencies for ngrams, head and tail subgrams.

A. CollocationDriver
B. CollocDriver
C. CarDriver
D. All of the above

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8. ________ phase merges the counts for unique ngrams or ngram fragments across multiple documents.

A. CollocCombiner
B. CollocReducer
C. CollocMerger
D. None of the above

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9. How many classification does Naive Bayes Classifier have?

A. 1
B. 2
C. 3
D. 4

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10. How many algorithms mahout supports for clustering?

A. 1
B. 2
C. 3
D. 4

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