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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

Correct Answer :

A. Cloud computing


In addition to cloud computing and server administration, hypervisors are used for a variety of other purposes, including as executing program that are compatible with operating systems that we do not currently have access to. In order to run processes and operating systems on virtual machines that are completely distinct from your main system, we can utilize a hypervisor.

Related Questions

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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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_____ 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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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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Scalability is prioritized over latency in jobs such as _____.

A. HBase

B. HDFS

C. Hive

D. Mapreduce

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Amongst which of the following is / are the applications of Predictive Analytics,

A. Translating voice to text for mobile phone messaging

B. Investment portfolio development

C. Weather forecasts

D. All of the mentioned above

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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

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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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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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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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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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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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_____ 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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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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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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_____ is a shell utility that can be used to run Hive queries in either interactive or batch mode, depending on the situation.

A. $HIVE_HOME/bin/hive

B. $HIVE/bin/

C. $HIVE_HOME/hive

D. All of the mentioned above

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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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The Hadoop framework is built in Java, which means that MapReduce applications do not need to be written in _____.

A. C#

B. C

C. Java

D. None of the mentioned above

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The data which have already been collected by someone is called _____ data.

A. Primary data

B. Secondary data

C. Quantitative data

D. Qualitative data

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___ 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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Amongst which of the following represents the Use of Hadoop,

A. Robust and Scalable

B. Affordable and Cost Effective

C. Adaptive and Flexible

D. All of the mentioned above

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_____ 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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____ is also known as Hosted Hypervisor.

A. TYPE-1 Hypervisor

B. TYPE- 2 Hypervisor

C. Both A and B

D. None of the mentioned above

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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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_____ maps input key/value pairs to a set of intermediate key/value pairs.

A. Reducer

B. Mapper

C. File system

D. All of these

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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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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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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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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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____ 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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Reporting and visualization enables.

A. Processing of data

B. User friendly representation

C. Both A and B

D. None of the mentioned above