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4

The data that can be processed, stored, and retrieved in a fixed format called _____,

A. Structured Data

B. Unstructured Data

C. Semi-structured Data

D. None of the mentioned above

Correct Answer :

A. Structured Data


Structured data is data that can be processed, stored, and retrieved in a fixed manner and is hence referred to as structured data.

Related Questions

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4

Machine learning in predictive analytics uses to enable computers to learn without being explicitly programmed by building algorithms that can receive _____ and use statistics to predict an output.

A. Input data

B. Output data

C. Process data

D. All of the mentioned above

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4

What is a Virtual Machine (VM)?

A. Virtual representation of a physical computer

B. Virtual representation of a logical computer

C. Virtual System Integration

D. All of the mentioned above

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4

_____ hypervisor runs directly on the underlying host system. It is also known as Native Hypervisor or Bare metal hypervisor.

A. TYPE-1 Hypervisor

B. TYPE- 2 Hypervisor

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

The architecture should designed in such a way so that it can handle ______.

A. Data ingestion

B. Data processing

C. Data analysis

D. All of the mentioned above

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4

MongoDB support cross platform and is written in _____ language.

A. Python

B. C++

C. R

D. Java

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4

Amongst which of the following is / are true with reference to hypothesis?

A. A statement that the researcher wishes to put to the test using the information gathered during a study.

B. A research question that will be answered as a result of the findings.

C. A theory that serves as the foundation for the research.

D. the application of statistics to determine the extent to which the outcomes could have been caused by chance

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4

The ability to model prices on a variety of factors allows them to make ______ about production, storage, and new discoveries.

A. No decisions

B. Better decisions

C. Unpredictable things

D. None of the mentioned above

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4

The goal of most big data solutions is to provide insights into the data through _____.

A. Hive

B. HBase

C. Analysis and reporting

D. All of the mentioned above

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4

______ 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

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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4

Scalability is prioritized over latency in jobs such as _____.

A. HBase

B. HDFS

C. Hive

D. Mapreduce

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4

The database which is used to manage and store data in real time is called ___.

A. Traditional database

B. Operational database

C. Database Management System

D. None of the mentioned above

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4

Amongst which of the following is/are true with reference to User-defined Functions of Hive.

A. function that fetches one or more columns from a row as arguments

B. It returns a single value

C. Both A and B

D. None of the mentioned above

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4

Apache Hive is data storage and ______ that stores and organizes data for study and querying.

A. Querying tool

B. Mapper

C. MapReduce

D. All of the mentioned above

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4

Security infrastructure refers the data about your constituents needs to be protected to ____.

A. Meet compliance requirements

B. Protect the privacy

C. Both A and B

D. None 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

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

_____ is the supporting physical infrastructure is fundamental to the operation and scalability of big data architecture.

A. Redundant physical infrastructure

B. Integrated System

C. Integrated Database

D. All of the mentioned above

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4

The data could be presented through a low-latency _____ technology.

A. DBMS

B. NoSQL

C. Data store

D. None of the mentioned above

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4

Analytics has begun to impact almost every industry including,

A. Healthcare,

B. Education and telecom

C. Telecom

D. All of the mentioned above

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4

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

The weight of a machine is a,

A. Discrete variable

B. Quantitative variable

C. Qualitative variable

D. Superlative variable

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4

Large _____ of data is considered as big data.

A. Volume

B. Veracity

C. Variety

D. None 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

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

Amongst which of the following is /are the techniques that are used for predictive analytics,

A. Linear Regression

B. Time series analysis and forecasting

C. Data Mining

D. All of the mentioned above

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4

A hypervisor is a form of ____ used in Cloud hosting to divide and allocate the resources on various pieces of hardware.

A. Virtualization software

B. System software

C. Integrated approach

D. None of the mentioned above

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4

Effective _____ prescriptive data tools can help businesses using informed data to create the processes and for managing and analyzing data anytime and anywhere.

A. Cloud-based

B. Data warehouse

C. System ingestion

D. All of the mentioned above

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4

How many V's of Big Data?

A. 2

B. 3

C. 4

D. 5