Llbl 564 Quiz - 2

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| By Ashish
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Ashish
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Quizzes Created: 2 | Total Attempts: 225
| Attempts: 105
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  • 1/10 Questions

    Most Big Data environments need to provide ______ input-output operations per second (IOPS) performance.

    • High
    • Low
    • Slower
    • None of these
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About This Quiz

This quiz, LLBL 564 Quiz - 2, covers various aspects of data management, focusing on security, tools for handling messy data, and challenges in big data environments.

Llbl 564 Quiz - 2 - Quiz

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  • 2. 

    Which a tool set that can work with messy data, cleaning them up and then transforming them into different formats for analytics?

    • Google Refine

    • Extractiv

    • Mozenda

    • 80Legs

    Correct Answer
    A. Google Refine
    Explanation
    Google Refine is a tool set that can work with messy data, cleaning them up and transforming them into different formats for analytics. It provides various functionalities such as data cleaning, data transformation, and data exploration, which make it suitable for handling messy data. With Google Refine, users can easily clean up inconsistent data, remove duplicates, and transform data into a format that is suitable for further analysis. Therefore, Google Refine is the correct answer for this question.

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  • 3. 

    Which device is largely used in in-memory processing?

    • RAM

    • ROM

    • Hard Disk

    • Processor

    Correct Answer
    A. RAM
    Explanation
    RAM, or Random Access Memory, is largely used in in-memory processing. This is because RAM is a type of computer memory that allows data to be read from and written to quickly. In in-memory processing, data is stored and processed directly in RAM, which enables faster and more efficient operations compared to accessing data from other storage devices such as ROM or Hard Disk. The processor, on the other hand, is responsible for executing instructions and performing calculations, but it does not store data like RAM does.

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  • 4. 

    With what security becomes manageable and omnipresent?

    • Planning

    • Logic

    • Observation

    • All of these

    Correct Answer
    A. All of these
    Explanation
    All of these options contribute to making security manageable and omnipresent. Planning helps in creating strategies and implementing security measures. Logic helps in analyzing potential risks and finding effective solutions. Observation helps in monitoring and identifying any security breaches or vulnerabilities. Therefore, all of these factors are necessary for ensuring comprehensive security.

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  • 5. 

    The scale of big data directly affects the __________ platform.

    • Technology

    • Storage

    • Processing

    • None of them n 4

    Correct Answer
    A. Storage
    Explanation
    The scale of big data directly affects the storage platform because as the amount of data increases, more storage space is required to store and manage the data effectively. Big data refers to extremely large and complex datasets that cannot be easily managed using traditional storage methods. Therefore, a scalable and robust storage platform is necessary to accommodate the growing volume of data and ensure efficient data storage and retrieval.

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  • 6. 

    Which one allows the analysis to occur where data resides?

    • Centralized Systems

    • Desktop Systems

    • In-memory Systems

    • Distributed Systems

    Correct Answer
    A. Distributed Systems
    Explanation
    Distributed systems allow analysis to occur where data resides by distributing the processing and storage of data across multiple computers or servers. This enables data to be analyzed in parallel, reducing the need for data movement and improving performance. In contrast, centralized systems typically require data to be transferred to a central location for analysis, which can be time-consuming and inefficient. Desktop systems and in-memory systems may offer local analysis capabilities, but they are limited in scale and may not be able to handle large datasets or complex analyses.

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  • 7. 

    Which of these support NoSQL?

    • Redis

    • Kafka

    • S3

    • Datameer

    Correct Answer
    A. Redis
    Explanation
    Redis is a popular open-source, in-memory data structure store that can be used as a database, cache, and message broker. It is often categorized as a NoSQL database because it does not use traditional relational database structures. Redis supports a wide range of data types and provides high-performance, scalability, and flexibility, making it a suitable choice for NoSQL applications. On the other hand, Kafka is a distributed streaming platform, S3 is an object storage service, and Datameer is a big data analytics tool, none of which are typically classified as NoSQL databases.

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  • 8. 

    One of the biggest challenges for most organizations is __________ .

    • Normalizing Data

    • Finding data sources

    • Storing Data

    • None of these

    Correct Answer
    A. Finding data sources
    Explanation
    One of the biggest challenges for most organizations is finding data sources. This refers to the difficulty organizations face in locating and accessing relevant and reliable sources of data. Without access to appropriate data sources, organizations may struggle to gather the necessary information for decision-making, analysis, and other business processes. This challenge can hinder the organization's ability to effectively utilize data-driven strategies and make informed decisions.

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  • 9. 

    Which among these do not incorporate sufficient data security tools?

    • Hadoop

    • Cassandra

    • Mongo DB

    • All of these

    Correct Answer
    A. All of these
    Explanation
    All of these options, namely Hadoop, Cassandra, and Mongo DB, do not incorporate sufficient data security tools. This implies that none of these technologies provide adequate measures for ensuring the security of data.

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  • 10. 

    Among these, What can be the source of data?

    • Internal

    • Public Data

    • Private Data

    • All of these

    Correct Answer
    A. Internal
    Explanation
    Internal data refers to the data that is generated and collected within an organization. This can include information such as sales records, customer data, employee information, and financial data. Internal data is typically proprietary and specific to the organization, making it a reliable and valuable source of information for decision-making and analysis. Therefore, internal data can be considered as a source of data among the given options.

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  • Current Version
  • Mar 15, 2023
    Quiz Edited by
    ProProfs Editorial Team
  • Apr 23, 2019
    Quiz Created by
    Ashish
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