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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-1

Each section contains 100 MCQs on Realtime Processing with Apache Spark .
71
. . . . . . . . sink can be a text file, the console display, a simple HDFS path, or a null bucket where the data is simply deleted.
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Answer & Solution
Answer: Option C
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72
SolrJ now has first class support for . . . . . . . . API.
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Answer & Solution
Answer: Option B
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73
The tokens are passed through a Lucene . . . . . . . . to produce NGrams of the desired length.
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Answer: Option B
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74
Point out the correct statement.
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Answer & Solution
Answer: Option D
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75
. . . . . . . . phase merges the counts for unique ngrams or ngram fragments across multiple documents.
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Answer & Solution
Answer: Option A
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76
Spark was initially started by . . . . . . . . at UC Berkeley AMPLab in 2009.
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Answer & Solution
Answer: Option B
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77
Which of the following is a straightforward binary format?
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Answer & Solution
Answer: Option C
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78
Point out the correct statement.
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Answer: Option D
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79
Lucene index size is roughly . . . . . . . . the size of text indexed.
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Answer: Option B
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80
Which of the following project is interface definition language for hadoop?
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Answer: Option C
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