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4

The weight of a machine is a,

A. Discrete variable

B. Quantitative variable

C. Qualitative variable

D. Superlative variable

Correct Answer :

B. Quantitative variable


A variable is a characteristic that can take different values. A variable can be defined as an object that includes some fluctuating number those changes depending on the time, location, and person it is encountered. Variables can be either categorical or numerical in nature, for example, disease stage, age, height, weight, and temperature are all examples of categorical variables.

Related Questions

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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

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

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

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

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

___ 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

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

MongoDB support cross platform and is written in _____ language.

A. Python

B. C++

C. R

D. Java

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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

_____ 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

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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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

A hypervisor is a technology responsible for ensuring ____ takes place in an orderly and repeatable way.

A. Operating system

B. Resource sharing

C. System integration

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

Amongst which of the following is not a descriptive statistic?

A. t-test

B. mean

C. standard deviation

D. range

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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

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. 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

Custom Application of Big data for business to meet ______.

A. Business needs

B. Facilitates cloud computing and

C. Hypervisor

D. Virtualization

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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

______ 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 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

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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

Azure Synapse Analytics provides a managed service for _______.

A. Large-scale

B. Cloud-based

C. Data warehousing

D. All 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++

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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

Predictive analytics is a process harnesses ____, often massive, data sets into models.

A. Heterogeneous

B. Storage

C. Network

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

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

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

A. Mapreduce

B. Spark

C. Hive

D. All of the mentioned above