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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

Correct Answer :

C. Data aggregation and data mining


Data aggregation and data mining are two strategies that are used in descriptive analytics to obtain historical information about a given set of variables. Before any analysis can begin, data is gathered and sorted according to data aggregation in order to make the datasets more manageable for analysts. Data mining is the next phase in the analysis process, and it entails searching through large amounts of data in order to find patterns and meaning. The patterns that have been identified are next evaluated in order to determine the exact methods in which learners engaged with the learning content and within the learning environment.

Related Questions

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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 / 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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4

In Big Data environments, Variety of data includes

A. Includes multiple formats and types of data

B. Includes structured data in the form of financial transactions,

C. Includes semi-structured data in the form of emails and unstructured data in the form of images

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

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

The data that can be processed, stored, and retrieved in a fixed format called _____,

A. Structured Data

B. Unstructured Data

C. Semi-structured Data

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

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

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

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

_____ 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

What is the correct answer?

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

MongoDB support cross platform and is written in _____ language.

A. Python

B. C++

C. R

D. Java

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4

______ 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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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

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

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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4

MongoDB is a ____ database.

A. SQL

B. DBMS

C. NoSQL

D. RDBMS

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4

An ____ consisted of highly structured data managed by the line of business in a relational database.

A. Operational data source

B. Qualitative data source

C. Both A and B

D. None of the mentioned above

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4

______ 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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4

In the given Virtual Architecture, name the missing layer,

A. Virtualization layer

B. Storage layer

C. Abstract layer

D. None of the mentioned above

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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

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4

The _______ is the default partitioned in Hadoop, and it offers a method called getPartition that allows us to partition data.

A. HashPartitioner

B. Map function

C. Reduce function

D. All of the mentioned above

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4

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

A. Java

B. C#

C. C

D. C++

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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 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

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

_____ 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

Scalability is prioritized over latency in jobs such as _____.

A. HBase

B. HDFS

C. Hive

D. Mapreduce

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4

The data which have already been collected by someone is called _____ data.

A. Primary data

B. Secondary data

C. Quantitative data

D. Qualitative data