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Hadoop is a framework that can be used in conjunction with a number of related products. Among the most common cohorts are ______.

A. MapReduce, Hive and HBase

B. Hive, Spark and HBase

C. Spark, Hive and ZooKeeper

D. Spark, HBase and Hive

Correct Answer :

A. MapReduce, Hive and HBase


Hadoop is a framework that can be used with a number of related products. Among the most common cohorts are MapReduce, Hive and HBase. The Hadoop software library is a framework that enables for the distributed processing of massive data sets across clusters of computers using simple programming models. It is a component of the Apache Hadoop software library. It is intended to grow from a small number of servers to thousands of devices, each of which can do computing and storage on its own.

Related Questions

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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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______ 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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Amongst which of the following is /are the techniques that are used for predictive analytics,

A. Linear Regression

B. Time series analysis and forecasting

C. 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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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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4

Amongst which of the following is not a descriptive statistic?

A. t-test

B. mean

C. standard deviation

D. range

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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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Veracity makes sure that the data is _______.

A. Accurate

B. Inconsistence

C. Variant

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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4

Amongst which of the following is / are true with reference to Decision trees,

A. A learning model

B. Uses observations

C. Develop conclusions

D. All of the mentioned above

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Data that does not conform to a data model or data schema is known as ______.

A. Structured data

B. Unstructured data

C. Semi-structured data

D. All of the mentioned above

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Custom extensions built in the ____ programming language are also supported by Hive.

A. Java

B. C#

C. C

D. C++

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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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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

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

Predictive analytics relies on capturing relationships between explanatory variables and the _____.

A. Predicted variables

B. Descriptive variables

C. Prescriptive variables

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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Hypervisors that run several virtual machines on one ____ resources also allow for more efficient utilization,

A. Physical machine

B. Abstract machine

C. System integration

D. All of the mentioned above

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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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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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Predictive analytics uses statistics and ____ to determine future performance.

A. Algorithmic techniques

B. Modeling techniques

C. System development and design techniques

D. None of the mentioned above

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4

Analytics has begun to impact almost every industry including,

A. Healthcare,

B. Education and telecom

C. Telecom

D. All of the mentioned above

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4

____ 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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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

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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______ node serves as the Slave and is responsible for carrying out the Tasks that have been assigned to it by the JobTracker.

A. TaskReduce

B. Mapreduce

C. TaskTracker

D. JobTracker

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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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_____ is a form of interactive data exploration by data scientists or data analysts.

A. Data and storage

B. Analysis and reporting

C. System and development

D. None of the mentioned above

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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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Azure Synapse Analytics provides a managed service for _______.

A. Large-scale

B. Cloud-based

C. Data warehousing

D. All of the mentioned above