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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

Correct Answer :

A. Intrinsic


Big Data is characterized by three characteristics: volume, velocity, and variety. It is vital to note that the other Vs of Variability, Veracity, Value, and Visualization are all key characteristics that reflect the enormous complexity that Big Data provides to those who would process, analyze, and derive value from it.

Related Questions

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4

______ node serves as the Slave and is responsible for carrying out the Tasks that have been assigned to it by the JobTracker.

A. TaskReduce

B. Mapreduce

C. TaskTracker

D. JobTracker

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4

Apache Hive is a data ______ infrastructure that is built on top of the Hadoop platform.

A. Warehouse

B. Map

C. Reduce

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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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

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

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

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

Database requirements for operational data includes ___.

A. Indexing and Cataloging, Replication

B. File Storage and Structure, Query Processing

C. Transactions Support

D. All 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

The weight of a machine is a,

A. Discrete variable

B. Quantitative variable

C. Qualitative variable

D. Superlative variable

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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

To automate the big data solutions like workflows, we use _____ technology.

A. Orchestration

B. HBase

C. HDFS

D. None of the mentioned above

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4

___ a record is created for every search key valued in the database.

A. Primary Index

B. Secondary Index

C. Complex Index

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

Amongst which of the following is / are the examples of descriptive analytics,

A. Traffic and Engagement Reports

B. Financial Statement Analysis

C. Demand Trends and Aggregated Survey Results

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

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

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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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

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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

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

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

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

_____ 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

Predictive analytics uses statistics and ____ to determine future performance.

A. Algorithmic techniques

B. Modeling techniques

C. System development and design techniques

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

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

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

Amongst which of the following is/are the cloud deployment models,

A. Public Cloud

B. Private Cloud

C. Hybrid Cloud

D. All of the mentioned above

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4

Amongst which of the following shows an example of unstructured data,

A. Students roll number, age

B. Videos

C. Audio files

D. Both B and C