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4

Veracity makes sure that the data is _______.

A. Accurate

B. Inconsistence

C. Variant

D. None of the mentioned above

Correct Answer :

A. Accurate


Veracity is the process of ensuring that the data is accurate. Veracity is concerned with ensuring that the data is accurate, which necessitates the implementation of measures to prevent incorrect data from collecting in our systems. If your data is inaccurate, it is of little use, and this is where the concept of Veracity comes into play. In order to ensure that the data you collect is accurate, you must first remove any potentially harmful information from your systems. It also refers to the reliability or quality of the data that a corporation receives and processes in order to gain relevant insights from it.

Related Questions

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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

The Hadoop framework is built in Java, which means that MapReduce applications do not need to be written in _____.

A. C#

B. C

C. Java

D. None of the mentioned above

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4

Veracity makes sure that the data is _______.

A. Accurate

B. Inconsistence

C. Variant

D. None of the mentioned above

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4

The data which have already been collected by someone is called _____ data.

A. Primary data

B. Secondary data

C. Quantitative data

D. Qualitative data

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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

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

Data warehouse modeling is the initial stage of building a data warehouse wherein the ___ is designed.

A. Schema

B. Table

C. Both A and B

D. None of the mentioned above

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4

Hypervisors are used for many different tasks, including ____ server management, and simply running programs.

A. Cloud computing

B. Security management

C. Integrated approach

D. None of the mentioned above

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4

Hypervisors that run several virtual machines on one ____ resources also allow for more efficient utilization,

A. Physical machine

B. Abstract machine

C. System integration

D. All 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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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

Amongst which of the following is not aligns as a characteristic of HDFS?

A. HDFS file system is well suited for storing data associated with applications that require low latency data access.

B. HDFS is well-suited for storing data connected to applications that require low-latency data access to be performed.

C. HDFS is not suited for instances in which multiple/simultaneous writes to the same file are required.

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

Operational Database with distributed systems and ___ based system can harness the true potential with big data.

A. SQL

B. NoSQL

C. PL / SQL

D. None of the mentioned above

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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

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

_____ 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

Data in ____ bytes size is called Big Data.

A. Tera

B. Giga

C. Peta

D. Meta

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4

In Big Data environments, Velocity refers

A. Data can arrive at fast speed

B. Enormous datasets can accumulate within very short periods of time

C. Velocity of data translates into the amount of time it takes for the data to be processed

D. All of the mentioned above

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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

The _____ tool has the capability of listing all of the possible database schemas.

A. sqoop-list-databases

B. Hbase-list

C. hive schema

D. sqoop-list-columns

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4

Amongst which of the following is/are correct.

A. Default location of Hadoop configuration is in $HADOOP /conf/ HOME

B. If $HADOOP HOME is specified, Sqoop will utilise the default installation location

C. default location of Hadoop configuration is in $HADOOP HOME/conf/

D. Sqoop command-line tool serves as a wrapper for the bin/hadoop script that is included with Hadoop as a base.

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4

_____ is a platform for developing data flows for the extraction, transformation, and loading (ETL) of huge datasets, as well as for data analysis.

A. Spark

B. HBase

C. Hive

D. Pig

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4

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

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

_____ 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

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

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

Type-2 Hypervisor allows quick and easy access to a guest _____ alongside the host machine running.

A. Application software

B. System software

C. Operating System

D. None of the mentioned above

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4

Descriptive analytics is a statistical method that is used to search and summarize ____ in order to identify patterns or meaning.

A. Account data

B. Historical data

C. Financial data

D. None of the mentioned above