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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

Correct Answer :

C. Operating System


Type-2 hypervisors allow for rapid and easy access to a guest operating system while the host computer is still running on the same physical hardware. These hypervisors are typically equipped with additional functions that are beneficial to the guest system. These types of tools improve the synchronization between the host machine and the guest computer.

Related Questions

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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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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 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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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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Veracity makes sure that the data is _______.

A. Accurate

B. Inconsistence

C. Variant

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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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

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

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

Scalability is prioritized over latency in jobs such as _____.

A. HBase

B. HDFS

C. Hive

D. Mapreduce

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4

In the layered architecture of Big Data Stack, Interfaces and feeds,

A. Internally managed data

B. Data feeds from external sources.

C. It provides access to each and every layer & components of big data stack

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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4

MongoDB is a ____ database.

A. SQL

B. DBMS

C. NoSQL

D. RDBMS

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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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Variety describes one of the biggest challenges of ______.

A. Big data

B. Data science

C. Data integration

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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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

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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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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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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Data in ____ bytes size is called Big Data.

A. Tera

B. Giga

C. Peta

D. Meta

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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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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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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

Database requirements for operational data includes ___.

A. Indexing and Cataloging, Replication

B. File Storage and Structure, Query Processing

C. Transactions Support

D. All 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

______ is best described as a programming model that is used to construct Hadoop-based applications that can be scaled up and down.

A. Oozie

B. Zookepper

C. MapReduce

D. All 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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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