Hortonworks Company Quiz! Trivia

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  • 1/10 Questions

    What are structured data?

    • Data that can be stored in a table
    • Data that cannot be stored in a table
    • Unorganized data
    • A big data
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About This Quiz


Can you pass this HortonWorks company quiz? This is a data software company situated in Santa Clara, California. It is distributed complete open-source Hadoop without additional proprietary software. Do you know when the company was founded, its core concepts, and the changes it has undergone over the years? This quiz is exactly what you know about it. Do give it a try and get to learn some new facts. All the best!

Hortonworks Company Quiz! Trivia - Quiz

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  • 2. 
    What are the two core concepts of HortonWorks? - ProProfs

    What are the two core concepts of HortonWorks?

    • HDFS and Hives

    • MapReduce and HDFS

    • Hives and MapReduce

    • MapReduce and Accumulo

    Correct Answer
    A. MapReduce and HDFS
    Explanation
    The correct answer is MapReduce and HDFS. HortonWorks is a big data software company, and MapReduce and HDFS are two core concepts in their platform. MapReduce is a programming model used for processing large datasets in parallel, while HDFS (Hadoop Distributed File System) is a distributed file system that allows for the storage and retrieval of large amounts of data across multiple nodes in a cluster. These two concepts are fundamental to the functioning of HortonWorks' platform and are essential for handling big data processing and storage efficiently.

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  • 3. 
    The minimum amount of data that can be written or read in HDFS is called... - ProProfs

    The minimum amount of data that can be written or read in HDFS is called...

    • DataBode

    • Block

    • Blockchain

    • Max

    Correct Answer
    A. Block
    Explanation
    In HDFS, data is stored in blocks, which are the minimum amount of data that can be written or read. Each block is typically 128 MB or 256 MB in size. The data is divided into these blocks and then distributed across multiple nodes in the Hadoop cluster for fault tolerance and parallel processing. Therefore, the correct answer is "Block".

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  • 4. 
    All of these are examples of unstructured data except... - ProProfs

    All of these are examples of unstructured data except...

    • Tweets

    • Online transactions

    • Weblogs

    • Product reviews

    Correct Answer
    A. Online transactions
    Explanation
    Online transactions are not considered unstructured data because they follow a specific format and structure. They typically include information such as transaction amount, date, time, and the parties involved. On the other hand, tweets, weblogs, and product reviews are examples of unstructured data as they are not organized in a predefined manner and can contain various types of information, opinions, and sentiments.

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  • 5. 
    Which of these file formats can be used with HortonWorks? - ProProfs

    Which of these file formats can be used with HortonWorks?

    • Docx

    • Exe

    • BSON

    • JSON

    Correct Answer
    A. JSON
    Explanation
    HortonWorks is a data platform that specializes in handling big data and analytics. JSON (JavaScript Object Notation) is a lightweight data interchange format that is commonly used for transmitting data between a server and a web application. It is a popular choice for storing and processing data in big data platforms like HortonWorks due to its simplicity, flexibility, and compatibility with various programming languages. On the other hand, Docx is a file format for Microsoft Word documents, Exe is an executable file format for Windows, and BSON (Binary JSON) is a binary representation of JSON-like documents. These file formats are not typically associated with HortonWorks.

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  • 6. 
    Which of the following is not a step involved in deploying big data? - ProProfs

    Which of the following is not a step involved in deploying big data?

    • Data processing

    • Data storage

    • Data ingestion

    • Data booting

    Correct Answer
    A. Data booting
    Explanation
    Data booting is not a step involved in deploying big data. The other three options, data processing, data storage, and data ingestion, are all essential steps in deploying big data. Data processing involves analyzing and manipulating the data to extract meaningful insights. Data storage involves storing the large volumes of data generated by big data applications. Data ingestion involves collecting and importing data from various sources into the big data infrastructure. However, data booting is not a recognized step in the process of deploying big data.

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  • 7. 
    HortonWorks is a big data management framework powered by... - ProProfs

    HortonWorks is a big data management framework powered by...

    • Cloudera

    • Google API

    • Apache Hadoop

    • Apple iData

    Correct Answer
    A. Apache Hadoop
    Explanation
    HortonWorks is a big data management framework that is powered by Apache Hadoop. Apache Hadoop is an open-source software framework that provides distributed storage and processing of large datasets across clusters of computers. It is designed to scale up from single servers to thousands of machines, offering high availability and fault tolerance. HortonWorks leverages the power of Apache Hadoop to provide a comprehensive platform for managing and analyzing big data.

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  • 8. 
    When was HortonWorks founded? - ProProfs

    When was HortonWorks founded?

    • 2001

    • 2011

    • 2013

    • 2010

    Correct Answer
    A. 2011
    Explanation
    HortonWorks was founded in 2011.

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  • 9. 
    What is the port number of NameNode? - ProProfs

    What is the port number of NameNode?

    • 50030

    • 50070

    • 50060

    • 50090

    Correct Answer
    A. 50070
    Explanation
    The port number of the NameNode in Hadoop is 50070. The NameNode is responsible for managing the file system metadata and keeps track of the data blocks in Hadoop. It acts as the central point for all the client operations and coordinates the data storage and retrieval processes. By default, the NameNode listens on port 50070 for incoming client requests and communicates with the DataNodes to ensure the availability and reliability of the data in the Hadoop cluster.

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  • 10. 
    Which of these files is ideal for exchanging data between HortonWorks and external systems? - ProProfs

    Which of these files is ideal for exchanging data between HortonWorks and external systems?

    • CSV

    • Columnar

    • AVRO

    • Parquet files

    Correct Answer
    A. CSV
    Explanation
    CSV (Comma Separated Values) files are ideal for exchanging data between HortonWorks and external systems because they are simple and widely supported. CSV files store tabular data in plain text, with each line representing a row and each value separated by a comma. This format allows for easy parsing and compatibility with various software applications. Additionally, CSV files are human-readable and can be easily edited using a text editor, making them a versatile choice for data exchange.

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Quiz Review Timeline (Updated): Mar 19, 2023 +

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

  • Current Version
  • Mar 19, 2023
    Quiz Edited by
    ProProfs Editorial Team
  • Mar 13, 2018
    Quiz Created by
    Cripstwick
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