Big Data Quiz For Students!

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  • 1/10 Questions

    Which of these is among the 3Vs of data?

    • Velocity
    • Virtually
    • Versatility
    • Vacuum
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About This Quiz

Big data is an evolving term that describes a large volume of structured, unstructured, and semi-structured data that has the potential to be mined for information and used in machine learning projects and other advanced analytics applications. This quiz tests your knowledge of big data analytics.

Big Data Quiz For Students! - Quiz

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  • 2. 
     Hadoop is a framework that works with a variety of related tools. Common cohorts include: - ProProfs

     Hadoop is a framework that works with a variety of related tools. Common cohorts include:

    •  MapReduce, Heron and Trumpe

    • MapReduce, Hive and HBase

    • MySQL, MapReduce, and Google Apps

    • Hummer, MapReduce, Hummer and Iguana

    Correct Answer
    A. MapReduce, Hive and HBase
    Explanation
    Hadoop is a framework that is commonly used with various related tools. One of the common cohorts or combinations of tools that work with Hadoop includes MapReduce, Hive, and HBase. MapReduce is a programming model and software framework for processing large amounts of data in parallel, Hive is a data warehouse infrastructure that provides data summarization, query, and analysis, and HBase is a distributed, scalable, and consistent NoSQL database that is built on top of Hadoop. Together, these tools can be used to efficiently process and analyze big data.

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  • 3. 
    Which of these accurately describes Hadoop? - ProProfs

    Which of these accurately describes Hadoop?

    • Real-time

    • Open source

    • None of the above

    • All of the above

    Correct Answer
    A. Open source
    Explanation
    Hadoop is accurately described as "Open source" because it is an open-source software framework used for distributed storage and processing of large datasets. It allows for the processing of big data across clusters of computers using simple programming models, making it accessible to a wide range of users. Being open-source means that the source code is freely available, allowing users to modify and customize it according to their needs.

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  • 4. 
    Hadoop named after - ProProfs

    Hadoop named after

    • A sound Cutting’s laptop made during Hadoop development

    • Cutting's son's toy elephant

    • Creator Doug Cutting’s favorite circus act

    • Cutting’s high school rock band

    Correct Answer
    A. Cutting's son's toy elephant
    Explanation
    The correct answer is Cutting's son's toy elephant. Hadoop was named after Doug Cutting's son's toy elephant. This suggests that the name "Hadoop" was chosen based on a personal connection and not related to any technical aspect or specific event during the development of Hadoop.

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  • 5. 
     As companies move past the experimental phase with Hadoop, many cite the need for additional capabilities, including: - ProProfs

     As companies move past the experimental phase with Hadoop, many cite the need for additional capabilities, including:

    •  Improved data warehousing functionality

    •  Improved security, workload management and SQL support

    • Improved data warehousing functionality

    •  Improved extract, transform and load features for data integration

    Correct Answer
    A.  Improved security, workload management and SQL support
    Explanation
    As companies become more experienced with Hadoop, they realize the need for additional capabilities. One of the key needs is improved security to protect their data from unauthorized access. Workload management is also important to ensure efficient resource allocation and prioritize critical tasks. Additionally, SQL support is crucial for companies to easily query and analyze their data using familiar language and tools. These capabilities help companies enhance the overall functionality and usability of their Hadoop systems.

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  • 6. 
    Which of these frameworks was developed by Google? - ProProfs

    Which of these frameworks was developed by Google?

    • MapReduce

    • Hive

    • ZooKeeper

    • Spark

    Correct Answer
    A. MapReduce
    Explanation
    MapReduce is a framework developed by Google. It is used for processing and generating large data sets in a distributed computing environment. The framework provides a programming model for parallel processing and a distributed file system for storing and accessing data. MapReduce has been widely adopted and is the basis for many big data processing systems, including Apache Hadoop.

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  • 7. 

    Which of these format does Sqoop use for importing the data from SQL to Hadoop?

    • JPEG

    • Doc

    • Text File Format

    • Sequence file format

    Correct Answer
    A. Text File Format
    Explanation
    Sqoop uses the Text File Format for importing the data from SQL to Hadoop. This format allows the data to be stored as plain text files, making it easy to read and process. Sqoop converts the SQL data into text format and imports it into Hadoop, where it can be further analyzed and processed using various tools and frameworks.

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  • 8. 
    The following frameworks are built on Spark except - ProProfs

    The following frameworks are built on Spark except

    • GraphX

    • D-Streams

    • Millib

    • SparkSQL

    Correct Answer
    A. D-Streams
    Explanation
    The question asks for a framework that is not built on Spark. GraphX, Millib, and SparkSQL are all frameworks that are built on top of Spark and provide additional functionalities. D-Streams, on the other hand, is not a framework built on Spark. D-Streams stands for Discretized Streams and it is a Spark component that provides support for processing real-time streaming data.

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  • 9. 
    Which technology is best suited for batch data processing? - ProProfs

    Which technology is best suited for batch data processing?

    • Hive

    • Storm

    • MapR

    • Apache Zeppelin

    Correct Answer
    A. MapR
    Explanation
    MapR is the correct answer because it is a technology that is specifically designed for batch data processing. MapR provides a distributed file system and a set of tools and frameworks that enable efficient and scalable batch processing of large volumes of data. It offers features like data replication, fault tolerance, and high availability, making it well-suited for handling batch data processing workloads. Hive, Storm, and Apache Zeppelin are also technologies used in big data processing, but they are more commonly associated with other types of data processing tasks such as data querying, real-time stream processing, and data visualization, respectively.

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  • 10. 
    Which of these is the main component of Big Data? - ProProfs

    Which of these is the main component of Big Data?

    • YARN

    • MapReduce

    •  HDFS

    • All of the above

    Correct Answer
    A. All of the above
    Explanation
    All of the above are important components of Big Data. YARN (Yet Another Resource Negotiator) is a key component of Hadoop that manages and allocates resources in a Hadoop cluster. It is used to schedule and manage resources for running data processing jobs. MapReduce is a programming model and processing framework for processing large datasets in parallel across a distributed cluster. It is one of the core components of the Hadoop ecosystem. HDFS (Hadoop Distributed File System) is the primary storage system used by Hadoop to store and manage large volumes of data across a distributed cluster.

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Quiz Review Timeline (Updated): Sep 15, 2023 +

Our quizzes are rigorously reviewed, monitored and continuously updated by our expert board to maintain accuracy, relevance, and timeliness.

  • Current Version
  • Sep 15, 2023
    Quiz Edited by
    ProProfs Editorial Team
  • Jun 13, 2019
    Quiz Created by
    AdewumiKoju
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