Apache Spark In-Memory Computing Engine Quiz
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Apache Spark In-Memory Computing Engine Quiz

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Questions and Answers

When was Apache Spark developed?

  • 2010
  • 2009 (correct)
  • 2012
  • 2011

    • What are the main components integrated by Apache Spark?

  • Batch processing, real-time streaming, interactive query, graph programming, and machine learning (correct)
  • Data warehousing, machine learning, and recommendation systems
  • Data extraction, transformation, loading, and real-time analytics
  • Interactive analysis, graph processing, and ETL operations

    • Which scenario can streaming processing be used for according to the text?

  • Real-time businesses, recommendation systems, and public opinion analysis (correct)
  • Interactive analysis and machine learning
  • Data extraction and transformation
  • Data warehousing and ETL operations

    • What is the consumption time comparison between Hadoop and Spark according to the given data?

    <p>Hadoop: 72 mins, Spark: 23 mins</p> Signup and view all the answers

    Which big data computing engine is described as fast, versatile, and scalable in the text?

    <p>Apache Spark</p> Signup and view all the answers

    How many lines of code does the lightweight Spark core have according to the text?

    <p>30,000 lines</p> Signup and view all the answers

    Which data format in Apache Spark provides three different APIs for working with big data?

    <p>RDD</p> Signup and view all the answers

    Which API in Apache Spark is known for its performance optimization and convenience of RDDs?

    <p>Dataset</p> Signup and view all the answers

    In which languages is the strongly typed API of the Dataset API available in Apache Spark?

    <p>Java and R</p> Signup and view all the answers

    What is the basic abstraction of Spark representing an unchanging set of elements partitioned across cluster nodes, allowing parallel computation?

    <p>RDD</p> Signup and view all the answers

    What does RDD stand for in Apache Spark?

    <p>Resilient Distributed Dataset</p> Signup and view all the answers

    Which API in Apache Spark is an immutable set of objects organized into columns and distributed across nodes in a cluster?

    <p>DataFrame</p> Signup and view all the answers

    Which API in Apache Spark represents an extension of the DataFrame API and fits better with strongly typed languages?

    <p>Dataset</p> Signup and view all the answers

    What is the advantage of RDDs in Apache Spark related to data stability?

    <p>Immutable and cannot be modified</p> Signup and view all the answers

    What is the main focus of Apache Spark according to the given text?

    <p>Batch processing, real-time streaming, interactive query, graph programming, and machine learning</p> Signup and view all the answers

    Which feature highlights the performance of Apache Spark according to the text?

    <p>Smart usage of existing big data components</p> Signup and view all the answers

    What is the consumption time comparison between Hadoop and Spark according to the given data?

    <p>Hadoop consumes 3 times more time than Spark</p> Signup and view all the answers

    Which type of analysis can be performed using Apache Spark?

    <p>Interactive analysis only</p> Signup and view all the answers

    What is the main advantage of Apache Spark's lightweight core code?

    <p>It reaches sub-second delay for small datasets</p> Signup and view all the answers

    What are the application scenarios mentioned for Apache Spark in the text?

    <p>Streaming processing and public opinion analysis only</p> Signup and view all the answers

    What is the basic abstraction of Spark representing an unchanging set of elements partitioned across cluster nodes, allowing parallel computation?

    <p>RDD</p> Signup and view all the answers

    Which API in Apache Spark is known for its performance optimization and convenience of RDDs?

    <p>Dataset</p> Signup and view all the answers

    In which languages is the strongly typed API of the Dataset API available in Apache Spark?

    <p>Scala and Python</p> Signup and view all the answers

    What does the Spark Core represent in the Spark platform?

    <p>Execution engine for the Spark platform</p> Signup and view all the answers

    What are the main components integrated by Apache Spark?

    <p>DataFrame, Dataset, Spark Core</p> Signup and view all the answers

    What is the advantage of RDDs in Apache Spark related to data stability?

    <p>Consistency</p> Signup and view all the answers

    Which big data computing engine is described as fast, versatile, and scalable in the text?

    <p>Apache Spark</p> Signup and view all the answers

    Which scenario can streaming processing be used for according to the text?

    <p>Real-time analysis of stock market trends</p> Signup and view all the answers

    What is a Spark DataFrame?

    <p>An immutable set of objects organized into columns and distributed across nodes in a cluster</p> Signup and view all the answers

    What is the consumption time comparison between Hadoop and Spark according to the given data?

    <p>Spark is more efficient than Hadoop for processing big data.</p> Signup and view all the answers

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