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Prescriptive analytics is a process that _____ and provides instant recommendations on how to optimize business practices.

A. Analyzes data

B. Data storage

C. Data ingestion

D. None of the mentioned above

Correct Answer :

A. Analyzes data


As a process, predictive analytics examines data and delivers quick advice on how to optimize company procedures to accommodate a variety of projected events.

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

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

An ____ consisted of highly structured data managed by the line of business in a relational database.

A. Operational data source

B. Qualitative data source

C. Both A and B

D. None of the mentioned above

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4

Which of the following are Benefits of Big Data Processing?

A. Cost Reduction

B. Time Reductions

C. Smarter Business Decisions

D. All of the mentioned above

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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

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

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

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 shows an example of unstructured data,

A. Students roll number, age

B. Videos

C. Audio files

D. Both B and C

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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

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

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

Veracity makes sure that the data is _______.

A. Accurate

B. Inconsistence

C. Variant

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

_____ 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

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

______ 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

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

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

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

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

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

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

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

HQL is a query language that is used to construct the custom map-reduce framework in Hive, which is written in ______.

A. Java

B. PHP

C. C#

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

Amongst which of the following is/are the Hive function Meta commands.

A. Show functions

B. Describe function

C. Both A and B

D. None of the mentioned above

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4

Variety describes one of the biggest challenges of ______.

A. Big data

B. Data science

C. Data integration

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 true to run MongoDB?

A. High availability through built-in replication and failover

B. Management tooling for automation, monitoring, and backup

C. Fully elastic database as a service with built-in best practices

D. All of the mentioned above