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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

Correct Answer :

A. Heterogeneous


The process harnesses heterogeneous, often massive, data sets into models that can generate clear, actionable outcomes to support achieving that goal, such as less material waste, less stocked inventory, and manufactured product that meets specifications.

Related Questions

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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

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

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

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

_____ 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

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

Scalability is prioritized over latency in jobs such as _____.

A. HBase

B. HDFS

C. Hive

D. Mapreduce

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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 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

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 that does not conform to a data model or data schema is known as ______.

A. Structured data

B. Unstructured data

C. Semi-structured data

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

Veracity makes sure that the data is _______.

A. Accurate

B. Inconsistence

C. Variant

D. None of the mentioned above

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4

____ general-purpose model and runtime framework for distributed data analytics.

A. Mapreduce

B. Spark

C. Hive

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

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

______ 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

___ 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

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

MongoDB is a ____ database.

A. SQL

B. DBMS

C. NoSQL

D. RDBMS

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4

Query processing system refers to the entire process from translating a ___ to the database system.

A. Query

B. Statement

C. Function

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

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

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

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

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

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

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

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 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