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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

Correct Answer :

C. Both A and B


Security infrastructure refers to the data about your constituents that needs to be protected in order to comply with regulatory obligations and protect their personal information.

Related Questions

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4

In the layered architecture of Big Data Stack, Interfaces and feeds,

A. Internally managed data

B. Data feeds from external sources.

C. It provides access to each and every layer & components of big data stack

D. All 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

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

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

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

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

Amongst which of the following is not a descriptive statistic?

A. t-test

B. mean

C. standard deviation

D. range

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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

The weight of a machine is a,

A. Discrete variable

B. Quantitative variable

C. Qualitative variable

D. Superlative variable

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4

______ 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

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 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 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

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

Predictive analytics relies on capturing relationships between explanatory variables and the _____.

A. Predicted variables

B. Descriptive variables

C. Prescriptive variables

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

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

Amongst which of the following is /are most suitable with reference to the data collector layer,

A. Transportation of data from the ingestion layer to the rest of the data pipeline

B. Data storage

C. Data identification

D. None of the mentioned above

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4

The _______ is the default partitioned in Hadoop, and it offers a method called getPartition that allows us to partition data.

A. HashPartitioner

B. Map function

C. Reduce function

D. All 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

How many V's of Big Data?

A. 2

B. 3

C. 4

D. 5

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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

Prescriptive analytics makes the use of machine learning to help ____ to decide a course of action based on a computer program's predictions.

A. Business organizations

B. System development

C. Employees development

D. All of the mentioned above

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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

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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

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

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

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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

_____ is a shell utility that can be used to run Hive queries in either interactive or batch mode, depending on the situation.

A. $HIVE_HOME/bin/hive

B. $HIVE/bin/

C. $HIVE_HOME/hive

D. All of the mentioned above

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4

_____ are two techniques used in descriptive analytics to discover historical data.

A. Data ingestion and data mining

B. Data warehouse and data storage

C. Data aggregation and data mining

D. All of the mentioned above