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Realtime Processing with Apache Spark MCQ question and answer with solution | Hadoop MCQs

Learn Realtime Processing with Apache Spark MCQ Questions and answers with easy and logical explanations in hadoop. Realtime Processing with Apache Spark MCQ question provides all type of technical mcq questions which is important for technical exams, campus exams and other entrance examination. Page-8 section-2

Each section contains 100 MCQs on Realtime Processing with Apache Spark .
71
Spark includes a collection over . . . . . . . . operators for transforming data and familiar data frame APIs for manipulating semi-structured data.
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Answer & Solution
Answer: Option D
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72
Point out the correct statement.
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Answer & Solution
Answer: Option B
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73
Hama is a general . . . . . . . . computing engine on top of Hadoop.
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Answer & Solution
Answer: Option A
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74
. . . . . . . . method is used to include a projection schema, to specify the output fields.
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Answer & Solution
Answer: Option C
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75
Drill provides a . . . . . . . . like internal data model to represent and process data.
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Answer & Solution
Answer: Option B
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76
The Avros class also has a . . . . . . . . method for creating PTypes for POJOs using Avro's reflection-based serialization mechanism.
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Answer: Option B
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77
A key of type . . . . . . . . is generated which is used later to join ngrams with their heads and tails in the reducer phase.
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Answer: Option A
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78
During merging, . . . . . . . . now always checks the incoming segments for corruption before merging.
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Answer: Option B
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79
. . . . . . . . is a distributed graph processing framework on top of Spark.
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Answer: Option C
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80
Apache . . . . . . . . provides direct queries on self-describing and semi-structured data in files.
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Answer: Option A
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