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_____ is the supporting physical infrastructure is fundamental to the operation and scalability of big data architecture.

A. Redundant physical infrastructure

B. Integrated System

C. Integrated Database

D. All of the mentioned above

Correct Answer :

A. Redundant physical infrastructure


It is critical for the functioning and scalability of big data architecture to have redundant physical infrastructure as a backbone of the infrastructure. Ideally, networks should be redundant and have sufficient capacity to handle the projected amount and velocity of inbound and outbound data, in addition to the regular network traffic encountered by the organization.

Related Questions

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4

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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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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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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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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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

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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4

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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4

HDFS stores data in a distributed manner, the data can be processed in parallel on a _____ of nodes.

A. Cluster

B. Data Node

C. Master Node

D. None of the mentioned above

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4

How many V's of Big Data?

A. 2

B. 3

C. 4

D. 5

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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

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

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4

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

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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

The database which is used to manage and store data in real time is called ___.

A. Traditional database

B. Operational database

C. Database Management System

D. None of the mentioned above

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4

To automate the big data solutions like workflows, we use _____ technology.

A. Orchestration

B. HBase

C. HDFS

D. None of the mentioned above

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4

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.

A. Input data

B. Output data

C. Process data

D. All of the mentioned above

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4

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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4

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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4

Data Query Layer is the _____ where active analytic processing of Big Data takes place.

A. Architectural layer

B. Fundamental layer

C. Backpropogation layer

D. None of the mentioned above

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4

Data interpretation refers -

A. Process of attaching meaning to the data

B. Convert text into insightful information

C. Effective conclusion

D. All of the mentioned above

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4

Data warehouse modeling is the initial stage of building a data warehouse wherein the ___ is designed.

A. Schema

B. Table

C. Both A and B

D. None of the mentioned above

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4

The MapReduce framework is responsible for processing one or more pieces of data and producing the output results as ______.

A. Maptask

B. Task execution

C. Mapper

D. All of the mentioned above

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4

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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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

Amongst which of the following is / are correct,

A. Hive is a relational database that supports SQL queries.

B. Pig is a relational database that supports SQL queries.

C. Both A and B

D. None of the mentioned above

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4

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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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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4

_____ 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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4

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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4

______ involves the simultaneous execution of multiple sub-tasks that collectively comprise a larger task.

A. Parallel data processing

B. Single channel processing

C. Multi data processing

D. None of the mentioned above