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Big Data And Distributed Computing MCQs

Practice Big Data And Distributed Computing MCQs for competitive exams.

Big Data And Distributed Computing MCQs

Practice questions from this topic.

What is the primary purpose of "data replication" in a distributed computing environment?

  1. A. To increase data variety
  2. B. To improve data visualization
  3. C. To enhance fault tolerance
  4. D. To reduce data velocity
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Which distributed computing framework is commonly used for batch processing of large datasets and is often associated with Hadoop?

  1. A. Apache Kafka
  2. B. Apache HBase
  3. C. Apache Spark
  4. D. Apache Hive
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In the context of big data, what is the purpose of "data sampling"?

  1. A. To increase data volume
  2. B. To reduce data variety
  3. C. To decrease data velocity
  4. D. To obtain a representative subset of data
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What is the primary benefit of using a columnar storage format like Parquet in big data analytics?

  1. A. Real-time data processing
  2. B. Reduced storage space and improved query performance
  3. C. Simplified data variety and velocity
  4. D. Enhanced data visualization
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Which Apache project provides a real-time stream processing framework for handling and analyzing data streams in real-time?

  1. A. Apache Kafka
  2. B. Apache HBase
  3. C. Apache Spark Streaming
  4. D. Apache Hive
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In the context of big data, what does the term "data skew" refer to?

  1. A. The uneven distribution of data across nodes
  2. B. The encryption of data
  3. C. The replication of data
  4. D. The loss of data during transmission
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What is the primary advantage of using data compression techniques in big data storage and processing?

  1. A. Increased data variety
  2. B. Reduced data storage and transmission costs
  3. C. Enhanced data visualization
  4. D. Improved data velocity
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What is the primary purpose of a "Mapper" in the MapReduce programming model?

  1. A. To split data into smaller chunks
  2. B. To process and aggregate data from Reducer tasks
  3. C. To store data in the HDFS
  4. D. To visualize data relationships
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In big data analytics, what is the primary challenge associated with "data silos"?

  1. A. Limited data volume
  2. B. Limited data variety
  3. C. Limited data velocity
  4. D. Limited data scalability
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Which distributed computing framework is known for its support of graph algorithms and is often used for analyzing large-scale graph data?

  1. A. Apache Kafka
  2. B. Apache HBase
  3. C. Apache Spark GraphX
  4. D. Apache Hive
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What is the primary role of a "Name Node" in the Hadoop Distributed File System (HDFS)?

  1. A. Storing metadata
  2. B. Managing job scheduling
  3. C. Storing and managing data blocks
  4. D. Managing data visualization
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In the context of big data processing, what does the term "ETL" stand for?

  1. A. Extract, Transform, Load
  2. B. Evaluate, Test, Launch
  3. C. Export, Transmit, Learn
  4. D. Encode, Transmit, Log
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