Data Analytics mcq unit 1 | big data analytics mcq & answers

Data Analytics MCQ with answers for SPPU Online Exams

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Data Analytics mcq with answers

1. Business intelligence (BI) is a broad category of application programs which includes __

  1. Decision support
  2. Data mining
  3. OLAP
  4. All of the mentioned
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All of the mentioned

2. BI can catalyze a business’s success in terms of _

  1. Distinguish the products and services that drive revenues
  2. Rank customers and locations based on profitability
  3. Ranks customers and locations based on probability
  4. All of the mentioned
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All of the mentioned

3. Which of the following areas are affected by BI?

  1. Revenue
  2. CRM
  3. Sales
  4. All of the mentioned
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CRM(Customer relationship management)

4. ___ is a performance management tool that recapitulates an organization’s performance from several standpoints on a single page

  1. Balanced Scorecard
  2. Data Cube
  3. Dashboard
  4. All of the mentioned
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Balanced Scorecard

5. __ is a system where operations like data extraction, transformation and oading operations are executed.

  1. Data staging
  2. Data integration
  3. ETL
  4. None of the mentioned
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Data staging

6. ______ is a category of applications and technologies for presenting and analyzing corporate and external data.

  1. Data warehouse
  2. MIS
  3. EIS
  4. All of the mentioned
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EIS(Enterprise Information System)

7.  Which of the following is the process of basing an organization’s actions and decisions on actual measured results of performance?

  1. Institutional performance management
  2. Gap analysis
  3. Slice and Dice
  4. None of the mentioned
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Institutional performance management

8. Which of the following does not form part of BI Stack in SQL Server?

  1. SSRS
  2. SSIS
  3. SSAS
  4. OBIEE

OBIEE

9. BI can catalyze a business’s success in terms of ____

  1. Distinguish the products and services that drive revenues
  2. Rank customers and locations based on profitability
  3. Ranks customers and locations based on probability
  4. All of the mentioned
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All of the mentioned

10. This is an approach to selling goods and services in which a prospect explicitly agrees   in advance to receive marketing information

  1. customer managed relationship
  2. data mining
  3. permission marketing
  4. one-to-one marketing

permission marketing

Data analytics mcq with answers pdf

11. In an Internet context, this is the practice of tailoring Web pages to individual users’ characteristics or preferences.

  1. Web services
  2. customer-facing
  3. client/server
  4. personalization
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personalization

12. This is the processing of data about customers and their relationship with the enterprise in order to improve the enterprise’s future sales and service and lower cost.

  1. clickstream analysis
  2. database marketing
  3. customer relationship management
  4. CRM analytics

CRM analytics

13. This is a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions.

  1. best practice
  2. data mart
  3. business information warehouse
  4. business intelligence
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business intelligence

14. This is a systematic approach to the gathering, consolidation, and processing of consumer data (both for customers and potential customers) that is maintained in a company’s databases

  1. database marketing
  2. marketing encyclopedia
  3. application integration
  4. service oriented integration

database marketing

15. This is an arrangement in which a company outsources some or all of its customer relationship management functions to an application service provider (ASP).

  1. spend management
  2. supplier relationship management
  3. hosted CRM
  4. Customer Information Control System
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hosted CRM

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16. This is an XML-based metalanguage developed by the Business Process Management Initiative (BPMI) as a means of modeling business processes, much as XML is, itself, a metalanguage with the ability to model enterprise data.

  1. BizTalk
  2. BPML
  3. e-biz
  4. ebXML b

BPML

17. This is a central point in an enterprise from which all customer contacts are managed.

  1. contact center
  2. help system
  3. multichannel marketing
  4. call center

contact center

18. This is the practice of dividing a customer base into groups of individuals that are similar in specific ways relevant to marketing, such as age, gender, interests, spending habits, and so on.

  1. customer service chat
  2. customer managed relationship
  3. customer life cycle
  4. customer segmentation
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customer segmentation

19. In data mining, this is a technique used to predict future behavior and anticipate the consequences of change.

  1. predictive technology
  2. disaster recovery
  3. phase change
  4. predictive modeling

predictive modeling

20. According to analysts, for what can traditional IT systems provide a foundation when they’re integrated with big data technologies like Hadoop?”

  1. Big data management and data mining
  2. Data warehousing and business intelligence
  3. Management of Hadoop clusters
  4. Collecting and storing unstructured data
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Big data management and data mining

data analytics mcq questions and answers

21. All of the following accurately describe Hadoop, EXCEPT:

  1. Open source
  2. Real-time
  3. Java-based
  4. Distributed computing approach

Real-time

22. ____has the world’s largest Hadoop cluster

  1. Apple  
  2. Datamatics
  3. Facebook
  4. None of the mentioned

Facebook

23. What are the five V’s of Big Data?

  1. Volume
  2. velocity
  3. Variety
  4. All of the above
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All of the above

24. ____ hides the limitations of Java behind a powerful and concise Clojure API for Cascading.”

  1. Scalding
  2. Cascalog
  3. Hcatalog
  4. Hcalding

Cascalog

25. What are the main components of Big Data?

  1. MapReduce
  2. HDFS
  3. YARN
  4. All of these
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All of these

26. What are the different features of Big Data Analytics?

  1. Open-Source
  2. Scalability
  3. Data Recovery
  4. All the above

All the above

27. Define the Port Numbers for NameNode, Task Tracker and Job Tracker

  1. NameNode
  2. Task Tracker
  3. Job Tracker
  4. All of the above
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All of the above

28. Facebook Tackles Big Data With ____ based on Hadoop

  1. Project Prism
  2. Prism
  3. ProjectData
  4. ProjectBid

Project Prism

29. What is a unit of data that flows through a Flume agent?

  1. Record
  2. Event
  3. Row
  4. Log

Event

30. A feature F1 can take certain value: A, B, C, D, E, & F and represents grade of students from a college. Which of the following statement is true in the following case

  1. Feature F1 is an example of nominal variable
  2. Feature F1 is an example of ordinal variable
  3. It doesn’t belong to any of the above category
  4. Both of these
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Feature F1 is an example of ordinal variable

data analytics mcq with answers

31. Which of the following is an example of a deterministic algorithm?

  1. PCA  
  2. K-Means
  3. None of the above
  4. all of the above

PCA

32. What is the entropy of the target variable? 

  1.  -(5/8 log(5/8) + 3/8 log(3/8))  
  2. 5/8 log(5/8) + 3/8 log(3/8)  
  3. 5/8 log(5 8) + 3/8 log(3/8)
  4. 5/8 log(3/8) – 3/8 log(5/8)
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-(5/8 log(5/8) + 3/8 log(3/8))

33. Point out the correct statement.

  1. OLAP is an umbrella term that refers to an assortment of software applications for analyzing an organization’s raw data for intelligent decision making
  2. Business intelligence equips enterprises to gain business advantage from data
  3. BI makes an organization agile thereby giving it a lower edge in today’s evolving market condition
  4. None of the mentioned

Business intelligence equips enterprises to gain business advantage from data

34. BI can catalyze a business’s success in terms of ____

  1. Distinguish the products and services that drive revenues
  2. Rank customers and locations based on profitability
  3. Ranks customers and locations based on probability
  4. All of the mentioned
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All of the mentioned

data analytics multiple choice questions

35. Heuristic is

  1. A set of databases from different vendors, possibly using different database paradigms
  2. An approach to a problem that is not guaranteed to work but performs well in most cases
  3. Information that is hidden in a database and that cannot be recovered by a simple SQL query.
  4. None of these

An approach to a problem that is not guaranteed to work but performs well in most cases

36. Heterogeneous databases referred to

  1. A set of databases from different b vendors, possibly using different database paradigms
  2. An approach to a problem that is not guaranteed to work but performs well in most cases.
  3. Information that is hidden in a database and that cannot be recovered by a simple SQL query.
  4. None of these
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A set of databases from different b vendors, possibly using different database paradigms

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