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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-2 section-1

11
What is the primary challenge in managing and analyzing unstructured data in big data environments?
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Answer & Solution
Answer: Option C
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12
In distributed computing, what does the term "MapReduce" refer to?
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Answer: Option B
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13
Which distributed computing framework is commonly used for querying and managing large datasets in a distributed environment using a SQL-like language?
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Answer: Option D
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14
What is the primary advantage of using distributed computing for big data processing compared to traditional single-node systems?
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Answer: Option C
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15
Which component of the Hadoop ecosystem is responsible for managing and scheduling jobs in a Hadoop cluster?
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Answer: Option B
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16
What is the primary role of a "Data Node" in the Hadoop Distributed File System (HDFS)?
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Answer: Option C
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17
Which Apache project provides a distributed, scalable, and highly available database for big data storage and processing?
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Answer: Option B
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18
What does the term "data locality" refer to in the context of Hadoop and distributed computing?
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Answer: Option A
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19
In a Hadoop ecosystem, which component is responsible for resource management and job scheduling in a cluster?
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Answer: Option B
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20
What is the primary benefit of using a data warehouse in big data analytics?
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Answer: Option B
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