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

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71.
What is the primary advantage of using data lakes in big data architectures?

A. Centralized storage for structured data

B. Scalability and fault tolerance

C. Handling unstructured data

D. Reduced data storage and transmission costs

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72.
In the context of big data, what is the term for the process of preparing and transforming data so that it can be effectively analyzed and visualized?

A. Data sampling

B. Data preprocessing

C. Data deduplication

D. Data siloing

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73.
Which distributed computing framework is commonly used for querying and managing large datasets in a distributed environment using a SQL-like language?

A. Apache Kafka

B. Apache HBase

C. Apache Spark

D. Apache Drill

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74.
What is the primary benefit of using a distributed data processing framework like Apache Spark over traditional batch processing systems?

A. Reduced data variety

B. Real-time data processing

C. Simplified data velocity

D. Enhanced data visualization

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75.
In big data analytics, what is the term for the process of summarizing data to discover patterns, trends, and insights that can inform decision-making?

A. Data sampling

B. Data integration

C. Data transformation

D. Data visualization

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