_____ hypervisor runs directly on the underlying host system. It is also known as Native Hypervisor or Bare metal hypervisor.
TYPE-1 Hypervisor
TYPE- 2 Hypervisor
Both A and B
None of the mentioned above
Correct Answer :
A. TYPE-1 Hypervisor
TYPE-1 The hypervisor is a virtual machine that runs on top of the underlying host system. It is also referred to as a Native Hypervisor or a Bare metal hypervisor in some circles.
Related Questions
Amongst which of the following is / are true with reference to hypothesis?
A statement that the researcher wishes to put to the test using the information gathered during a study.
A research question that will be answered as a result of the findings.
A theory that serves as the foundation for the research.
the application of statistics to determine the extent to which the outcomes could have been caused by chance
Apache Hive is data storage and ______ that stores and organizes data for study and querying.
Querying tool
Mapper
MapReduce
All of the mentioned above
Amongst which of the following is /are the techniques that are used for predictive analytics,
Linear Regression
Time series analysis and forecasting
Data Mining
All of the mentioned above
Database requirements for operational data includes ___.
Indexing and Cataloging, Replication
File Storage and Structure, Query Processing
Transactions Support
All of the mentioned above
The goal of most big data solutions is to provide insights into the data through _____.
Hive
HBase
Analysis and reporting
All of the mentioned above
Amongst which of the following is / are the applications of Predictive Analytics,
Translating voice to text for mobile phone messaging
Investment portfolio development
Weather forecasts
All of the mentioned above
Scalability is prioritized over latency in jobs such as _____.
HBase
HDFS
Hive
Mapreduce
____ is also known as Hosted Hypervisor.
TYPE-1 Hypervisor
TYPE- 2 Hypervisor
Both A and B
None of the mentioned above
Amongst which of the following is / are the types of predictive analytics techniques,
Predictive models
Descriptive models
Decision models
All of the mentioned above
Amongst which of the following is / are true to run MongoDB?
High availability through built-in replication and failover
Management tooling for automation, monitoring, and backup
Fully elastic database as a service with built-in best practices
All of the mentioned above
_____ are two techniques used in descriptive analytics to discover historical data.
Data ingestion and data mining
Data warehouse and data storage
Data aggregation and data mining
All of the mentioned above
Scalability, elasticity, resource pooling, self-service, low cost and fault tolerance are the features of,
Cloud computing
Power BI
System development
None of the mentioned above
Data that does not conform to a data model or data schema is known as ______.
Structured data
Unstructured data
Semi-structured data
All of the mentioned above
A hypervisor is a technology responsible for ensuring ____ takes place in an orderly and repeatable way.
Operating system
Resource sharing
System integration
None of the mentioned above
Amongst which of the following is/are represents the Value of data in Big Data environment,
Worth in information
Useless data
Useless information
None of the mentioned above
Which of the following are Benefits of Big Data Processing?
Cost Reduction
Time Reductions
Smarter Business Decisions
All of the mentioned above
Prescriptive analytics is a process that _____ and provides instant recommendations on how to optimize business practices.
Analyzes data
Data storage
Data ingestion
None of the mentioned above
Amongst which of the following is/are the cloud deployment models,
Public Cloud
Private Cloud
Hybrid Cloud
All of the mentioned above
Amongst which of the following represents the Use of Hadoop,
Robust and Scalable
Affordable and Cost Effective
Adaptive and Flexible
All of the mentioned above
In the given Virtual Architecture, name the missing layer,
Virtualization layer
Storage layer
Abstract layer
None of the mentioned above
Amongst which of the following is/are not Big Data Technologies?
Apache Hadoop
Apache Spark
Apache Kafka
Apache Pytarch
MongoDB support cross platform and is written in _____ language.
Python
C++
R
Java
Data Query Layer is the _____ where active analytic processing of Big Data takes place.
Architectural layer
Fundamental layer
Backpropogation layer
None of the mentioned above
In Big Data environment, Veracity of data refers -
Quality or fidelity of data
Large size of the data that cannot be process
Small size of the data that can easily process
All of the mentioned above
Hypervisor is a practical approach of getting things virtualized _______.
Quickly and efficiently
Systematic approach
Both A and B
All of the mentioned above
Data warehouse modeling is the initial stage of building a data warehouse wherein the ___ is designed.
Schema
Table
Both A and B
None of the mentioned above
The _____ tool has the capability of listing all of the possible database schemas.
sqoop-list-databases
Hbase-list
hive schema
sqoop-list-columns
Amongst which of the following is not aligns as a characteristic of HDFS?
HDFS file system is well suited for storing data associated with applications that require low latency data access.
HDFS is well-suited for storing data connected to applications that require low-latency data access to be performed.
HDFS is not suited for instances in which multiple/simultaneous writes to the same file are required.
None of the mentioned above
Apache Hive is a data ______ infrastructure that is built on top of the Hadoop platform.
Warehouse
Map
Reduce
None of the mentioned above
Hadoop is a framework that can be used in conjunction with a number of related products. Among the most common cohorts are ______.
MapReduce, Hive and HBase
Hive, Spark and HBase
Spark, Hive and ZooKeeper
Spark, HBase and Hive