Assignment 1 Quiz 1 CSE5BDC T5 2023
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Questions and Answers

What is a true benefit of using MapReduce compared to RDBMS?

  • MapReduce can be used to retrieve data faster using an index compared to RDBMS.
  • MapReduce is more scalable than RDBMS and therefore can handle larger datasets than RDBMS. (correct)
  • MapReduce performs query optimisation and therefore can execute queries faster than RDBMS.
  • MapReduce always runs faster than RDBMS.
  • What is a key advantage of MapReduce over RDBMS according to the text?

  • MapReduce supports complex transactional operations more effectively than RDBMS.
  • MapReduce provides real-time data analytics compared to RDBMS.
  • MapReduce is fault-tolerant and can handle large-scale data processing efficiently. (correct)
  • MapReduce ensures data consistency and integrity better than RDBMS.
  • What distinguishes MapReduce from RDBMS in terms of data processing?

  • MapReduce ensures stronger data consistency across distributed systems than RDBMS.
  • MapReduce is designed for parallel processing of large datasets, unlike RDBMS. (correct)
  • MapReduce offers better support for ACID transactions compared to RDBMS.
  • MapReduce provides a more flexible schema for data storage than RDBMS.
  • Which of the following statements about the benefits of MapReduce is false?

    <p>MapReduce shuffles less data as a result of using a scaling-out architecture.</p> Signup and view all the answers

    Which of the following is a true benefit of using local aggregation within MapReduce?

    <p>Less data will be shuffled from the mapper to the reducer.</p> Signup and view all the answers

    Given 1 million employee records (containing each employee's name, phone number, date of birth and company join date), which of the following problems will benefit the least from being solved using MapReduce?

    <p>Select all employees who joined the company after 2018.</p> Signup and view all the answers

    Which of the following statements about the way MapReduce works is false?

    <p>Data from the mapper are shuffled and grouped at the reducer according to the output value of the mapper.</p> Signup and view all the answers

    Study Notes

    Benefits of MapReduce

    • MapReduce can process large datasets in parallel, making it more efficient than RDBMS for big data processing
    • MapReduce allows for flexible schema, which enables it to handle unstructured or semi-structured data, unlike RDBMS
    • MapReduce can scale horizontally, making it suitable for handling large datasets

    Key Advantage of MapReduce

    • MapReduce can process large datasets in a distributed manner, making it more efficient for big data processing than RDBMS

    Data Processing

    • MapReduce is designed for batch processing large datasets, whereas RDBMS is designed for transactional processing

    False Statement

    • MapReduce is suitable for real-time data processing (FALSE: MapReduce is designed for batch processing)

    Local Aggregation

    • Local aggregation in MapReduce reduces the amount of data transferred between nodes, making it faster and more efficient

    Inefficient Use of MapReduce

    • Processing a small, structured dataset (e.g., 1 million employee records) would not benefit much from using MapReduce, as RDBMS would be more suitable for such a task

    How MapReduce Works

    • MapReduce does not use a master node to coordinate the entire process (FALSE: a master node, called the JobTracker, coordinates the entire process)

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    Test your knowledge about the benefits of using MapReduce compared to RDBMS with this quiz. Choose the correct option and learn about how MapReduce differs from RDBMS in handling data.

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