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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 goal of shuffling and sorting in the MapReduce programming model?

  1. A. To maximize data storage capacity
  2. B. To optimize job scheduling and resource management
  3. C. To reorganize data for Reducer tasks
  4. D. To increase data variety
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Which distributed computing framework is designed for processing large-scale graph data, such as social networks or network analysis?

  1. A. Apache Kafka
  2. B. Apache HBase
  3. C. Apache Spark GraphX
  4. D. Apache Hive
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In distributed computing, what is the purpose of a "Reducer" in the MapReduce programming model?

  1. A. To split data into smaller chunks
  2. B. To process and aggregate data from Mapper tasks
  3. C. To store data in the HDFS
  4. D. To visualize data relationships
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What is the primary advantage of using Apache Kafka in a big data architecture?

  1. A. Real-time data processing
  2. B. Distributed database storage
  3. C. Batch processing of large datasets
  4. D. Data visualization
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Which distributed computing framework is known for its ability to handle real-time stream processing and complex event processing (CEP)?

  1. A. Apache Kafka
  2. B. Apache HBase
  3. C. Apache Spark Streaming
  4. D. Apache Hive
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What is the primary benefit of using a data warehouse in big data analytics?

  1. A. Real-time data processing
  2. B. Centralized storage for structured data
  3. C. Streamlining data variety and velocity
  4. D. Handling unstructured data
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In a Hadoop ecosystem, which component is responsible for resource management and job scheduling in a cluster?

  1. A. Hadoop Distributed File System (HDFS)
  2. B. YARN (Yet Another Resource Negotiator)
  3. C. MapReduce
  4. D. HBase
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What does the term "data locality" refer to in the context of Hadoop and distributed computing?

  1. A. The proximity of data to the data center
  2. B. The speed at which data is transmitted
  3. C. The distribution of data across clusters
  4. D. The retrieval of data from a remote source
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Which Apache project provides a distributed, scalable, and highly available database for big data storage and processing?

  1. A. Apache Kafka
  2. B. Apache HBase
  3. C. Apache Spark
  4. D. Apache Hive
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What is the primary role of a "Data 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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Which component of the Hadoop ecosystem is responsible for managing and scheduling jobs in a Hadoop cluster?

  1. A. Hadoop Distributed File System (HDFS)
  2. B. YARN (Yet Another Resource Negotiator)
  3. C. MapReduce
  4. D. HBase
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What is the primary advantage of using distributed computing for big data processing compared to traditional single-node systems?

  1. A. Lower cost of hardware
  2. B. Simplicity of programming
  3. C. Scalability and faster processing
  4. D. Reduced data variety
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