Hive Assessment Test

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  • 1/10 Questions

    Apache Hive supports analysis of large data sets stored in Hadoop's

    • HDFS
    • HDPS
    • HDFC
    • HFSP
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About This Quiz

As a data warehouse for software, Apache Hive — with the help of an SQL — facilitates managing, reading, and writing of huge datasets located in distributed storage. Take this quiz to find out more.

Hive Assessment Test - Quiz

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  • 2. 
    Apache Hive is data warehouse software project built on top - ProProfs

    Apache Hive is data warehouse software project built on top

    • Apache groove

    • Apache Hadoop

    • Apache net

    • Apache loof

    Correct Answer
    A. Apache Hadoop
    Explanation
    Apache Hive is a data warehouse software project built on top of Apache Hadoop. Apache Hadoop is an open-source framework that allows for the distributed processing of large datasets across clusters of computers. Hive provides a SQL-like interface to query and analyze data stored in Hadoop, making it easier for users familiar with SQL to work with big data. Therefore, the correct answer is Apache Hadoop.

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  • 3. 
    Hive is a type of ______software - ProProfs

    Hive is a type of ______software

    • Social media

    • Data interpreter

    • Data warehouse

    • Instant messaging

    Correct Answer
    A. Data warehouse
    Explanation
    Hive is a type of data warehouse software. A data warehouse is a system that is used to store and manage large amounts of structured and unstructured data. It is designed to support business intelligence and analytics activities by providing a centralized repository for data from various sources. Hive, specifically, is a data warehouse infrastructure built on top of Hadoop, a framework for processing and storing big data. It allows users to query and analyze data using a SQL-like language called HiveQL, making it easier to work with large datasets.

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  • 4. 
    Hive is written in what language - ProProfs

    Hive is written in what language

    • Linux

    • Python

    • Java

    • Gama

    Correct Answer
    A. Java
    Explanation
    Hive is a data warehouse infrastructure tool that is built on top of Hadoop. It provides a SQL-like interface to query and analyze large datasets stored in Hadoop. Hive is written in Java, which makes it platform-independent and allows it to run on any system that supports Java. This choice of language ensures that Hive can be easily integrated with other Java-based tools and frameworks in the Hadoop ecosystem.

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  • 5. 
    Hive was initially developed by - ProProfs

    Hive was initially developed by

    • Facebook

    • Twitter

    • Amazon

    • Microsoft

    Correct Answer
    A. Facebook
    Explanation
    Hive was initially developed by Facebook.

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  • 6. 
    By default, Hive stores metadata in an embedded - ProProfs

    By default, Hive stores metadata in an embedded

    • Apache tez

    • Apache hood

    • Apache derby

    • Apache hadoop

    Correct Answer
    A. Apache derby
    Explanation
    Hive, by default, stores its metadata in an embedded Apache Derby database. Apache Derby is a lightweight, Java-based relational database management system (RDBMS) that is included with Hive. It is used to store and manage the metadata, such as table schemas, partitions, and column statistics, for Hive tables. This allows Hive to efficiently query and analyze large datasets stored in Apache Hadoop.

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  • 7. 
    Major components of the  Hive architecture includes the following except - ProProfs

    Major components of the  Hive architecture includes the following except

    • Metastore

    • Drivers

    • Compiler

    • Interpreter

    Correct Answer
    A. Interpreter
    Explanation
    The Hive architecture consists of several major components that work together to process and analyze data. These components include the Metastore, which stores metadata about the tables and partitions in Hive, the Drivers, which handle the execution of Hive queries, and the Compiler, which translates HiveQL queries into MapReduce jobs. The Interpreter, on the other hand, is not a part of the Hive architecture. It is a component of other systems like Apache Zeppelin, which allows users to interactively run queries and visualize data.

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  • 8. 
    Hive converts queries to all except - ProProfs

    Hive converts queries to all except

    • Apache tez

    • Spark ten

    • Map reduce

    • Spark jobs

    Correct Answer
    A. Spark ten
    Explanation
    Hive is a data warehousing tool that converts queries into different execution engines. It supports Apache Tez, MapReduce, and Spark jobs for query processing. However, it does not convert queries into "Spark ten" as mentioned in the options. It is possible that "Spark ten" is not a valid or recognized execution engine for Hive.

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  • 9. 
    Other companies that use Hive include - ProProfs

    Other companies that use Hive include

    • Whatsapp

    • Twitter

    • Netflix

    • WeChat

    Correct Answer
    A. Netflix
    Explanation
    Netflix is mentioned as one of the companies that use Hive.

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  • 10. 
    Hive has how many execution engines - ProProfs

    Hive has how many execution engines

    • 2

    • 3

    • 4

    • 5

    Correct Answer
    A. 3
    Explanation
    Hive has three execution engines. These execution engines are responsible for processing and executing queries in Hive. The three execution engines in Hive are MapReduce, Tez, and Spark. Each engine has its own advantages and can be chosen based on the specific requirements of the query and the underlying infrastructure. MapReduce is the default execution engine, while Tez and Spark provide faster and more efficient processing capabilities.

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  • Current Version
  • Mar 21, 2023
    Quiz Edited by
    ProProfs Editorial Team
  • Feb 17, 2018
    Quiz Created by
    Cripstwick
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