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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-5 section-1

41
In big data analytics, what is the primary challenge associated with "data veracity"?
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Answer & Solution
Answer: Option D
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42
What is the primary benefit of using a distributed data processing framework like Apache Spark over traditional batch processing systems?
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Answer: Option B
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43
What is the main advantage of using a "NoSQL" database in big data applications?
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Answer: Option B
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44
What is the primary purpose of "data cleansing" in big data preprocessing?
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Answer: Option C
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45
In the context of big data analytics, what is the primary goal of "data enrichment"?
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Answer: Option C
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46
In a distributed computing cluster, what is the primary role of a "Master Node" (or NameNode) in the Hadoop ecosystem?
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Answer: Option A
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47
Which distributed computing framework is designed for real-time data stream processing and is often used for analyzing event data and monitoring applications?
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Answer: Option C
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48
What is the primary challenge in processing and analyzing data with high velocity in a big data environment?
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Answer: Option B
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49
In a distributed computing environment, what is the purpose of "data partitioning" or "sharding"?
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Answer: Option D
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50
What does the term "batch processing" typically refer to in the context of big data analytics?
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Answer & Solution
Answer: Option C
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