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4

Hypervisor is a practical approach of getting things virtualized _______.

A. Quickly and efficiently

B. Systematic approach

C. Both A and B

D. All of the mentioned above

Correct Answer :

A. Quickly and efficiently


With the advent of the hypervisor, the technology components of the big data stack may be delivered in an optimal manner. The hypervisor enables you to display the same application on multiple systems without having to physically copy the application to each device in question. It has the ability to load any number of operating systems as if they were simply another application on the computer. Consequently, the hypervisor is a very practical tool for swiftly and efficiently virtualizing a variety of resources.

Related Questions

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4

Hypervisor is a practical approach of getting things virtualized _______.

A. Quickly and efficiently

B. Systematic approach

C. Both A and B

D. All of the mentioned above

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4

Amongst which of the following is/are not Big Data Technologies?

A. Apache Hadoop

B. Apache Spark

C. Apache Kafka

D. Apache Pytarch

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4

Big Data Ingestion Layer concerned with the,

A. Big Data ingestion pipeline is divided into different layers

B. Each layer performs a particular function

C. Both A and B

D. None of the mentioned above

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4

Amongst which of the following is / are the types of predictive analytics techniques,

A. Predictive models

B. Descriptive models

C. Decision models

D. All of the mentioned above

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4

Reporting and visualization enables.

A. Processing of data

B. User friendly representation

C. Both A and B

D. None of the mentioned above

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4

Prescriptive analytics utilizes business rules, artificial intelligence, and ____ to simulates various approaches to these numerous outcomes.

A. Algorithms

B. Flowchart

C. System flow

D. None of the mentioned above

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4

In Big Data environments, Variety of data includes

A. Includes multiple formats and types of data

B. Includes structured data in the form of financial transactions,

C. Includes semi-structured data in the form of emails and unstructured data in the form of images

D. All of the mentioned above

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______ involves the simultaneous execution of multiple sub-tasks that collectively comprise a larger task.

A. Parallel data processing

B. Single channel processing

C. Multi data processing

D. None of the mentioned above

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4

Query processing system refers to the entire process from translating a ___ to the database system.

A. Query

B. Statement

C. Function

D. None of the mentioned above

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4

_____ is a form of interactive data exploration by data scientists or data analysts.

A. Data and storage

B. Analysis and reporting

C. System and development

D. None of the mentioned above

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4

An ____ consisted of highly structured data managed by the line of business in a relational database.

A. Operational data source

B. Qualitative data source

C. Both A and B

D. None of the mentioned above

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4

Many big data solutions prepare data for analysis and then serve the processed data in a,

A. Structured format

B. Unstructured format

C. Semi-structured format

D. None of the mentioned above

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Predictive analytics is a process harnesses ____, often massive, data sets into models.

A. Heterogeneous

B. Storage

C. Network

D. None of the mentioned above

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4

In computers, a ____ is a symbolic representation of facts or concepts from which information may be obtained with a reasonable degree of confidence.

A. Data

B. Knowledge

C. Program

D. Algorithm

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4

A hypervisor is a technology responsible for ensuring ____ takes place in an orderly and repeatable way.

A. Operating system

B. Resource sharing

C. System integration

D. None of the mentioned above

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4

In Big Data environment, Veracity of data refers -

A. Quality or fidelity of data

B. Large size of the data that cannot be process

C. Small size of the data that can easily process

D. All of the mentioned above

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4

Scalability is prioritized over latency in jobs such as _____.

A. HBase

B. HDFS

C. Hive

D. Mapreduce

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______ is best described as a programming model that is used to construct Hadoop-based applications that can be scaled up and down.

A. Oozie

B. Zookepper

C. MapReduce

D. All of the mentioned above

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4

Prescriptive analytics is a process that _____ and provides instant recommendations on how to optimize business practices.

A. Analyzes data

B. Data storage

C. Data ingestion

D. None of the mentioned above

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4

Amongst which of the following is/are represents the Value of data in Big Data environment,

A. Worth in information

B. Useless data

C. Useless information

D. None of the mentioned above

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Amongst which of the following is / are true with reference to predictive modeling,

A. A tool used in predictive analytics

B. A process that uses data mining and statistics to develop models

C. Examine current and historical datasets for underlying patterns

D. All of the mentioned above

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4

Custom extensions built in the ____ programming language are also supported by Hive.

A. Java

B. C#

C. C

D. C++

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4

The MapReduce framework is responsible for processing one or more pieces of data and producing the output results as ______.

A. Maptask

B. Task execution

C. Mapper

D. All of the mentioned above

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4

Volume, Velocity and Variety are _____ to Big Data,

A. Intrinsic

B. Extrinsic

C. Both A and B

D. None of the mentioned above

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4

HDFS stores data in a distributed manner, the data can be processed in parallel on a _____ of nodes.

A. Cluster

B. Data Node

C. Master Node

D. None of the mentioned above

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MongoDB support cross platform and is written in _____ language.

A. Python

B. C++

C. R

D. Java

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4

The weight of a machine is a,

A. Discrete variable

B. Quantitative variable

C. Qualitative variable

D. Superlative variable

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4

Amongst which of the following can be considered as the main source of unstructured data.

A. Twitter

B. Facebook

C. Webpages

D. All of the mentioned above

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4

Data Query Layer is the _____ where active analytic processing of Big Data takes place.

A. Architectural layer

B. Fundamental layer

C. Backpropogation layer

D. None of the mentioned above

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Amongst which of the following is / are the goodness of prescriptive analytics,

A. Exhausting valuable resources on housing data that does not inform business decisions

B. Spending time sifting through unutilized data sets

C. Missing out on unique revenue streams and insights

D. All of the mentioned above