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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

Correct Answer :

C. Unpredictable things


They can make better decisions about production, storage, and new discoveries since they have the ability to model prices based on a range of parameters, including supply and demand. Furthermore, both prescriptive and predictive analytics are useful for managing equipment and maintenance in the manufacturing industry, as well as for making better judgments about drilling and exploration areas and other aspects of business operations.

Related Questions

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Data interpretation refers -

A. Process of attaching meaning to the data

B. Convert text into insightful information

C. Effective conclusion

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

Scalability is prioritized over latency in jobs such as _____.

A. HBase

B. HDFS

C. Hive

D. Mapreduce

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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

In order to interact with HDFS, a command line interface named _____ is provided.

A. HDFS Shell

B. DFS Shell

C. K Shell

D. FS Shell

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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

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

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

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

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4

A hypervisor is a form of ____ used in Cloud hosting to divide and allocate the resources on various pieces of hardware.

A. Virtualization software

B. System software

C. Integrated approach

D. None 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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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

What is a Virtual Machine (VM)?

A. Virtual representation of a physical computer

B. Virtual representation of a logical computer

C. Virtual System Integration

D. All of the mentioned above

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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

In the given Virtual Architecture, name the missing layer,

A. Virtualization layer

B. Storage layer

C. Abstract layer

D. None of the mentioned above

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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

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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

Hadoop is a framework that can be used in conjunction with a number of related products. Among the most common cohorts are ______.

A. MapReduce, Hive and HBase

B. Hive, Spark and HBase

C. Spark, Hive and ZooKeeper

D. Spark, HBase and Hive

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4

Amongst which of the following is / are true with reference to Decision trees,

A. A learning model

B. Uses observations

C. Develop conclusions

D. All of the mentioned above

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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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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

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

A _____ serves as the master, and each cluster has just one NameNode.

A. Data Node

B. Block Size

C. Data block

D. NameNode

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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 not a descriptive statistic?

A. t-test

B. mean

C. standard deviation

D. range

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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

MongoDB support cross platform and is written in _____ language.

A. Python

B. C++

C. R

D. Java

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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

Amongst which of the following is /are the techniques that are used for predictive analytics,

A. Linear Regression

B. Time series analysis and forecasting

C. Data Mining

D. All of the mentioned above

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How many V's of Big Data?

A. 2

B. 3

C. 4

D. 5