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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

Correct Answer :

D. All of the mentioned above


Interfaces and feeds internally maintained data; data feeds from external sources; and offers access to each and every layer and component of the Big Data Stack are all included in the tiered design of the Big Data Stack. In order to create the Data Pipeline in accordance with the diverse requirements of either the Batch Processing System or the Stream Processing System, the Big Data Architecture is used. This architecture is made up of six layers, each of which is responsible for ensuring the secure transit of data.

Related Questions

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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

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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4

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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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 not Big Data Technologies?

A. Apache Hadoop

B. Apache Spark

C. Apache Kafka

D. Apache Pytarch

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4

_____ are two techniques used in descriptive analytics to discover historical data.

A. Data ingestion and data mining

B. Data warehouse and data storage

C. Data aggregation and data mining

D. All of the mentioned above

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4

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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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

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4

_____ is a platform for developing data flows for the extraction, transformation, and loading (ETL) of huge datasets, as well as for data analysis.

A. Spark

B. HBase

C. Hive

D. Pig

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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

Prescriptive analytics utilizes business rules, artificial intelligence, and ____ to simulates various approaches to these numerous outcomes.

A. Algorithms

B. Flowchart

C. System flow

D. None of the mentioned above

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4

HQL is a query language that is used to construct the custom map-reduce framework in Hive, which is written in ______.

A. Java

B. PHP

C. C#

D. None of the mentioned above

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4

The data could be presented through a low-latency _____ technology.

A. DBMS

B. NoSQL

C. Data store

D. None of the mentioned above

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4

Amongst which of the following is / are true with reference to predictive modeling,

A. A tool used in predictive analytics

B. A process that uses data mining and statistics to develop models

C. Examine current and historical datasets for underlying patterns

D. All of the mentioned above

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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

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 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

A hypervisor is a form of ____ used in Cloud hosting to divide and allocate the resources on various pieces of hardware.

A. Virtualization software

B. System software

C. Integrated approach

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

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

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

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

___ a record is created for every search key valued in the database.

A. Primary Index

B. Secondary Index

C. Complex Index

D. None of the mentioned above

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4

Hypervisors are used for many different tasks, including ____ server management, and simply running programs.

A. Cloud computing

B. Security management

C. Integrated approach

D. None of the mentioned above

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4

Reporting and visualization enables.

A. Processing of data

B. User friendly representation

C. Both A and B

D. None of the mentioned above

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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

Many big data solutions prepare data for analysis and then serve the processed data in a,

A. Structured format

B. Unstructured format

C. Semi-structured format

D. None of the mentioned above

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4

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

Security infrastructure refers the data about your constituents needs to be protected to ____.

A. Meet compliance requirements

B. Protect the privacy

C. Both A and B

D. None of the mentioned above

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4

Amongst which of the following is / are the goodness of prescriptive analytics,

A. Exhausting valuable resources on housing data that does not inform business decisions

B. Spending time sifting through unutilized data sets

C. Missing out on unique revenue streams and insights

D. All of the mentioned above