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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

Correct Answer :

B. Operational database


The database which is used to manage and store data in real time is called Operational database. An operational database management system is software that is designed to allow users to easily define, modify, retrieve, and manage data in real-time. While conventional databases rely on batch processing, operational database systems are oriented toward real-time, transactional operations. Operational databases, which can be based on NoSQL, are the source for data warehouses and are critical to business analytics operations.

Related Questions

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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 is prioritized over latency in jobs such as _____.

A. HBase

B. HDFS

C. Hive

D. Mapreduce

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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

Amongst which of the following is / are true to run MongoDB?

A. High availability through built-in replication and failover

B. Management tooling for automation, monitoring, and backup

C. Fully elastic database as a service with built-in best practices

D. All of the mentioned above

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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

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4

Hypervisor is a practical approach of getting things virtualized _______.

A. Quickly and efficiently

B. Systematic approach

C. Both A and B

D. All 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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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

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 represents the Value of data in Big Data environment,

A. Worth in information

B. Useless data

C. Useless information

D. None of the mentioned above

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4

A _____ serves as the master, and each cluster has just one NameNode.

A. Data Node

B. Block Size

C. Data block

D. NameNode

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____ 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

In order to interact with HDFS, a command line interface named _____ is provided.

A. HDFS Shell

B. DFS Shell

C. K Shell

D. FS Shell

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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

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

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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_____ hypervisor runs directly on the underlying host system. It is also known as Native Hypervisor or Bare metal hypervisor.

A. TYPE-1 Hypervisor

B. TYPE- 2 Hypervisor

C. Both A and B

D. None of the mentioned above

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_____ 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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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

Operational Database with distributed systems and ___ based system can harness the true potential with big data.

A. SQL

B. NoSQL

C. PL / SQL

D. None of the mentioned above

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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

Which of the following are Benefits of Big Data Processing?

A. Cost Reduction

B. Time Reductions

C. Smarter Business Decisions

D. All 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

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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

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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How many V's of Big Data?

A. 2

B. 3

C. 4

D. 5

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What is a Virtual Machine (VM)?

A. Virtual representation of a physical computer

B. Virtual representation of a logical computer

C. Virtual System Integration

D. All of the mentioned above

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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

To process large data sets quickly, big data architectures use.

A. Distributed computing

B. Cluster computing

C. Parallel computing

D. All of the mentioned above

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Amongst which of the following is / are the challenge of Big Data processing,

A. Goes beyond the massive volumes

B. Increasing velocities of data

C. Both A and B

D. None of the mentioned above