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Custom Application of Big data for business to meet ______.

A. Business needs

B. Facilitates cloud computing and

C. Hypervisor

D. Virtualization

Correct Answer :

D. Virtualization


Custom Big Data Applications for Business to address specific business requirements, as well as cloud computing and virtualization, Hadoop, and other technologies. Furthermore, big data comprises a diverse range of data including

Related Questions

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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

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

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

Amongst which of the following is / are the challenge of Big Data processing,

A. Goes beyond the massive volumes

B. Increasing velocities of data

C. Both A and B

D. None of the mentioned above

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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

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

How many V's of Big Data?

A. 2

B. 3

C. 4

D. 5

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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

Data Visualization Layer,

A. To visualize the data

B. To access the data

C. To process the data

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

______ 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

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

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

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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4

Amongst which of the following is / are correct,

A. Hive is a relational database that supports SQL queries.

B. Pig is a relational database that supports SQL queries.

C. Both A and B

D. None 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

Scalability is prioritized over latency in jobs such as _____.

A. HBase

B. HDFS

C. Hive

D. Mapreduce

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4

To process large data sets quickly, big data architectures use.

A. Distributed computing

B. Cluster computing

C. Parallel computing

D. All 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

HDFS operates in a ____ manner.

A. Master-slave architecture

B. Master-worker architecture

C. Worker-slave architecture

D. All 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

____ is also known as Hosted 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

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

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

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 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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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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Amongst which of the following is / are the correct workflow of predictive analytics,

A. Import data → Clean the data → Develop a predictive model → Integrate the model

B. Clean the data → Develop a predictive model → Import data → Integrate the model

C. Clean the data → Develop a predictive model → Import data → Integrate the model

D. None 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++