Big Data and Distributed Computing MCQ Questions and Answers

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Which distributed computing framework is known for its high-speed, low-latency data processing capabilities and is suitable for real-time analytics?

A) Apache Kafka B) Apache HBase C) Apache Spark D) Apache Hive

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Answer & Solution

Answer: Option C

No explanation is given for this question. Let's Discuss on Board

What is the primary goal of "data deduplication" in big data storage and processing?

A) To increase data variety B) To reduce storage space and data redundancy C) To improve data visualization D) To slow down data velocity

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Answer & Solution

Answer: Option B

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In distributed computing, what is the primary purpose of a "Job Tracker" in the Hadoop MapReduce framework?

A) Storing metadata B) Managing job scheduling C) Storing and managing data blocks D) Managing data visualization

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Answer & Solution

Answer: Option B

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Which distributed computing framework is commonly used for interactive data analytics and SQL-like querying of large datasets in real-time?

A) Apache Kafka B) Apache HBase C) Apache Spark D) Apache Drill

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Answer & Solution

Answer: Option D

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In big data analytics, what does the term "data transformation" involve?

A) Reducing data volume B) Shuffling data across nodes C) Preparing data for analysis D) Encrypting data

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Answer & Solution

Answer: Option C

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What is the primary advantage of using distributed data processing frameworks like Hadoop and Spark for big data analytics?

A) Increased data variety B) Scalability and parallel processing capabilities C) Reduced data storage and transmission costs D) Real-time data collection and analysis

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Answer & Solution

Answer: Option B

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In the context of big data analytics, what is the term for the process of combining data from multiple sources and formats into a single, unified dataset?

A) Data sampling B) Data integration C) Data deduplication D) Data preprocessing

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Answer & Solution

Answer: Option B

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What is the main purpose of a "Combiner" in the Hadoop MapReduce programming model?

A) To split data into smaller chunks B) To process and aggregate data from Mapper tasks C) To optimize data storage in HDFS D) To visualize data relationships

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Answer & Solution

Answer: Option B

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In distributed computing, what is the primary advantage of using a "Reducer" in the MapReduce programming model?

A) To split data into smaller chunks B) To process and aggregate data from Mapper tasks C) To store data in the HDFS D) To visualize data relationships

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Answer & Solution

Answer: Option B

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What is the primary role of a "Data Scientist" in the context of big data analytics?

A) Managing job scheduling B) Data visualization C) Analyzing and extracting insights from data D) Data encryption

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Answer & Solution

Answer: Option C

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