Hypervisors that run several virtual machines on one ____ resources also allow for more efficient utilization,
Physical machine
Abstract machine
System integration
All of the mentioned above
Correct Answer :
A. Physical machine
Virtualization technologies such as hypervisors, which allow several virtual computers to share the resources of a single physical machine, allow for more efficient utilization of a single physical server. It is more cost and energy-efficient to run several virtual machines on a single physical computer than it is to run multiple underutilized real machines for the same work on multiple underutilized physical machines.
Related Questions
Amongst which of the following is / are the correct workflow of predictive analytics,
Import data → Clean the data → Develop a predictive model → Integrate the model
Clean the data → Develop a predictive model → Import data → Integrate the model
Clean the data → Develop a predictive model → Import data → Integrate the model
None of the mentioned above
Hypervisors that run several virtual machines on one ____ resources also allow for more efficient utilization,
Physical machine
Abstract machine
System integration
All of the mentioned above
____ is also known as Hosted Hypervisor.
TYPE-1 Hypervisor
TYPE- 2 Hypervisor
Both A and B
None of the mentioned above
Variety describes one of the biggest challenges of ______.
Big data
Data science
Data integration
None of the mentioned above
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
Predictive analytics uses statistics and ____ to determine future performance.
Algorithmic techniques
Modeling techniques
System development and design techniques
None of the mentioned above
HDFS operates in a ____ manner.
Master-slave architecture
Master-worker architecture
Worker-slave architecture
All of the mentioned above
The data that can be processed, stored, and retrieved in a fixed format called _____,
Structured Data
Unstructured Data
Semi-structured Data
None of the mentioned above
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
Prescriptive analytics utilizes business rules, artificial intelligence, and ____ to simulates various approaches to these numerous outcomes.
Algorithms
Flowchart
System flow
None of the mentioned above
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.
Input data
Output data
Process data
All of the mentioned above
In order to interact with HDFS, a command line interface named _____ is provided.
HDFS Shell
DFS Shell
K Shell
FS Shell
Amongst which of the following is / are true with reference to Decision trees,
A learning model
Uses observations
Develop conclusions
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 true with reference to predictive modeling,
A tool used in predictive analytics
A process that uses data mining and statistics to develop models
Examine current and historical datasets for underlying patterns
All of the mentioned above
The _______ is the default partitioned in Hadoop, and it offers a method called getPartition that allows us to partition data.
HashPartitioner
Map function
Reduce function
All of the mentioned above
Amongst which of the following is not a descriptive statistic?
t-test
mean
standard deviation
range
_____ is a shell utility that can be used to run Hive queries in either interactive or batch mode, depending on the situation.
$HIVE_HOME/bin/hive
$HIVE/bin/
$HIVE_HOME/hive
All of the mentioned above
The Hadoop framework is built in Java, which means that MapReduce applications do not need to be written in _____.
C#
C
Java
None of the mentioned above
Reporting and visualization enables.
Processing of data
User friendly representation
Both A and B
None 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
Amongst which of the following shows an example of unstructured data,
Students roll number, age
Videos
Audio files
Both B and C
What is a Virtual Machine (VM)?
Virtual representation of a physical computer
Virtual representation of a logical computer
Virtual System Integration
All of the mentioned above
Amongst which of the following is / are the challenge of Big Data processing,
Goes beyond the massive volumes
Increasing velocities of data
Both A and B
None of the mentioned above
Prescriptive analytics makes the use of machine learning to help ____ to decide a course of action based on a computer program's predictions.
Business organizations
System development
Employees development
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
Amongst which of the following is/are true with reference to User-defined Functions of Hive.
function that fetches one or more columns from a row as arguments
It returns a single value
Both A and B
None of the mentioned above
______ is best described as a programming model that is used to construct Hadoop-based applications that can be scaled up and down.
Oozie
Zookepper
MapReduce
All of the mentioned above
Data Visualization Layer,
To visualize the data
To access the data
To process the data
All of the mentioned above
HQL is a query language that is used to construct the custom map-reduce framework in Hive, which is written in ______.
Java
PHP
C#
None of the mentioned above