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Big Data and Distributed Computing MCQ Questions and Answers | Data Science MCQs

Explore our comprehensive collection of multiple-choice questions (MCQs) on Big Data and Distributed Computing designed to boost your confidence and knowledge in data science. These data science MCQs are essential for data science job interviews and exams. Page-4 section-1

31
What is the primary advantage of using data compression techniques in big data storage and processing?
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Answer & Solution
Answer: Option B
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32
In the context of big data, what does the term "data skew" refer to?
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Answer: Option A
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33
Which Apache project provides a real-time stream processing framework for handling and analyzing data streams in real-time?
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Answer: Option C
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34
What is the primary benefit of using a columnar storage format like Parquet in big data analytics?
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Answer: Option B
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35
In the context of big data, what is the purpose of "data sampling"?
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Answer: Option D
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36
Which distributed computing framework is commonly used for batch processing of large datasets and is often associated with Hadoop?
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Answer: Option D
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37
What is the primary purpose of "data replication" in a distributed computing environment?
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Answer: Option C
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38
In big data analytics, what is the term for the process of transforming and preparing raw data for analysis, often involving cleaning and structuring the data?
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Answer: Option C
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39
What does the term "YARN" stand for in the context of Hadoop and distributed computing?
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Answer: Option A
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40
Which technology is commonly used for streamlining the data velocity aspect of big data, allowing for real-time data collection and analysis?
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Answer & Solution
Answer: Option D
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