Llbl 564 Quiz - 1
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Where do Data come from?
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Sensors
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Businesses
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Social Media
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Everywhere
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LLBL 564 Quiz - 1 explores various aspects of big data, including data classification, sources, and mining, focusing on understanding and managing big data effectively.
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- 2.
What do not comes under intellectual property ?
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Inventions
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Literary
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Logo Designs
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None of these
Correct Answer
A. None of theseExplanation
The correct answer is "None of these". This means that all of the options listed (inventions, literary works, and logo designs) are considered intellectual property. Intellectual property refers to creations of the mind, such as inventions, artistic works, and designs, that are protected by law from being copied or used without permission. Therefore, all of the options listed fall under the category of intellectual property.Rate this question:
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- 3.
Data Mining is normally used with ______ data.
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Current Data
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Stream Data
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Archived Data
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None of there
Correct Answer
A. Archived DataExplanation
Data Mining is normally used with Archived Data. This is because data mining involves extracting useful information and patterns from large datasets. Archived data refers to historical data that has been stored for future reference. This type of data is often used for analysis and decision-making purposes. Current data refers to real-time or up-to-date information, while stream data refers to continuous and rapidly changing data. Therefore, archived data is the most suitable for data mining as it provides a comprehensive and stable dataset for analysis.Rate this question:
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- 4.
In which process an individual has to prepare the raw data before they are analyzed to remove any spurious data?
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Analyzing the Data
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Locating the Data
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Collecting the data
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Normalizing the Data
Correct Answer
A. Normalizing the DataExplanation
Normalizing the data is the process in which an individual prepares the raw data before analyzing it to remove any spurious data. This involves organizing and standardizing the data in a consistent format, ensuring that it is free from any inconsistencies or errors. By normalizing the data, it becomes easier to analyze and compare different datasets, as well as identify any outliers or anomalies that may affect the accuracy of the analysis.Rate this question:
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- 5.
"Internet Searches" comes under which category of data classification
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Human-sourced information
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Process-mediated data
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Machine-generated data
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None of these
Correct Answer
A. Human-sourced informationExplanation
"Internet Searches" refers to the act of individuals using search engines to find information on the internet. As it is performed by humans, it falls under the category of human-sourced information.Rate this question:
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- 6.
Which one is the first Big Data challenge?
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1890 US Census
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1880 US Census
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Hollerith Tabulating System
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None of these
Correct Answer
A. 1880 US CensusExplanation
The first Big Data challenge is the 1880 US Census. This was a significant milestone in the field of data collection and analysis, as it involved the processing and interpretation of a massive amount of data. The census collected detailed information about the population, such as demographics, occupations, and social characteristics. This required the development of new methods and technologies to handle and analyze such a vast amount of data, making it the first major challenge in dealing with Big Data.Rate this question:
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- 7.
Is "Finding the internal data is the easy part of Big Data." true or false?
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True
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False
Correct Answer
A. TrueExplanation
The statement "Finding the internal data is the easy part of Big Data" is true. This implies that once the data is collected, the process of accessing and analyzing the data is relatively straightforward compared to other challenges in dealing with Big Data. However, it is important to note that while finding the internal data may be considered easier, the real challenge lies in extracting meaningful insights and value from the vast amount of data available.Rate this question:
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- 8.
Which Big Data application provides a hybrid model for using cloud resources as spare capacity to handle load?
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JClouds
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Cloud Brusting
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Both of Them
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None of Them
Correct Answer
A. Both of ThemExplanation
Both JClouds and Cloud Bursting provide a hybrid model for using cloud resources as spare capacity to handle load. JClouds is an open-source library that allows developers to use cloud resources from various providers, including public and private clouds, to build and deploy applications. Cloud Bursting, on the other hand, is a technique that allows organizations to scale their on-premises infrastructure by using additional resources from the cloud when needed. Both options offer the flexibility to leverage cloud resources as spare capacity, making them suitable for handling load in a hybrid model.Rate this question:
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- 9.
How many category has been given by Big Data Task Team for data classification and labeling?
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3
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2
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1
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4
Correct Answer
A. 3Explanation
The Big Data Task Team has provided three categories for data classification and labeling.Rate this question:
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- 10.
Who put the discovered data together and organize it so that it’s ready to analyze?
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Data Hygienists
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Data Explorer
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Business Solution Architects
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Campaign Experts
Correct Answer
A. Business Solution ArchitectsExplanation
Business Solution Architects are responsible for putting together and organizing the discovered data so that it is ready to analyze. They have the expertise to design and implement data solutions, ensuring that the data is structured and accessible for analysis. They work closely with stakeholders to understand their requirements and translate them into effective data solutions. By organizing the data, Business Solution Architects enable businesses to derive valuable insights and make informed decisions based on the analyzed data.Rate this question:
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Current Version
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Mar 21, 2023Quiz Edited by
ProProfs Editorial Team -
Apr 23, 2019Quiz Created by
Ashish
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