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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

Correct Answer :

D. All of the mentioned above


Large datasets can accumulate in a short amount of time in Big Data environments, since data arrives at lightning speed and accumulates in massive quantities. From the perspective of an enterprise, the velocity of data can be defined as the amount of time it takes for data to be processed once it enters the business's perimeter. In order to keep up with the rapid input of data, businesses must develop highly elastic and available data processing solutions, as well as the associated data storage capacities.

Related Questions

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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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Big Data Ingestion Layer concerned with the,

A. Big Data ingestion pipeline is divided into different layers

B. Each layer performs a particular function

C. Both A and B

D. None of the mentioned above

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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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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

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

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

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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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

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

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

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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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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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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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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4

Scalability, elasticity, resource pooling, self-service, low cost and fault tolerance are the features of,

A. Cloud computing

B. Power BI

C. System development

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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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

In Big Data environment, Veracity of data refers -

A. Quality or fidelity of data

B. Large size of the data that cannot be process

C. Small size of the data that can easily process

D. All of the mentioned above

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4

Amongst which of the following is not aligns as a characteristic of HDFS?

A. HDFS file system is well suited for storing data associated with applications that require low latency data access.

B. HDFS is well-suited for storing data connected to applications that require low-latency data access to be performed.

C. HDFS is not suited for instances in which multiple/simultaneous writes to the same file are required.

D. None 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

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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

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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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_____ are two techniques used in descriptive analytics to discover historical data.

A. Data ingestion and data mining

B. Data warehouse and data storage

C. Data aggregation and data mining

D. All of the mentioned above

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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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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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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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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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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 Big Data environments, Variety of data includes

A. Includes multiple formats and types of data

B. Includes structured data in the form of financial transactions,

C. Includes semi-structured data in the form of emails and unstructured data in the form of images

D. All of the mentioned above