Data Science MCQ

1. Data mining is ?

  a)  Time variant non-volatile collection of data 

  b)  The actual discovery phase of knowledge. 

  c) The stage of selecting the right data 

  d) None of the above.

Ans:   b) The actual discovery phase of knowledge. 

2. Data visualization is also an element of the broader

        a) Data process architecture.

        b) Data presentation architecture.

        c) Deliver presentation architecture.

        d) All of the above.

Ans: b) Data presentation architecture.

3. Which of the following are trends and techniques of software testing?

a) Low code no code

b) IOT

c) Android computing

d) All of the above.

Ans: d) All of the above.

4. Which of the following are classification techniques?

a) Regression

b) Decision tree

c) Both a) and b)

d) None of the above.

Ans: c) Both a) and b)

5. Classification is also known as ___

a) Separation

b) Indexing

c) Division

d) All of the above

Ans: d) All of the above

6. Which of the followings are skills of AI

a) Learning

b) Reasoning

c) Self correction

d) All of the above

Ans: d) All of the above

7. Parallel processing capability is an advantage of ANN.

a) True

b) False

Ans: a) True

8. Which of the following is disadvantage of AI.

a) It reduces time for data heavy cost.

b) AI delivers consistent results.

c) Lack of ability to generalize from one task to another.

d) All of the above.

Ans: c) Lack of ability to generalize from one task to another.

9. Data Analysis is defined by the statistician?

a)  William S.

b)  Hans Peter Luhn

c) Gregory Piatetsky-Shapiro

d) John Tukey

Ans: d) John Tukey

10. Which of the following is not a big data analysis approaches?

a) Data Mining

b) Predictive Intelligence

c) Business Intelligence

d) Text Analytics

Ans: c) Business Intelligence

11. Research methodology uses.

a) Hypothesis formulation

b) Data collection

c) Data analysis

d) All

Answer. D

12. Diagnostic analysis is a type of data analysis.

a) True

b) false

Answer. A

13. Which of the followings are the important factor of big data.

a) velocity , veracity , volume.

b) velocity , volume , variety.

c) value , volume , velocity.

d) value , veracity , volume.

Answer. B

14. Which of the followings are benifits of big data management ?

a) Increased revenue.

b) Improved customer service.

c) Increased efficiency

d) All.

Answer. D

15. ML is a field of AI consisting of learning algorithms that ?

a) Improve their performance.

b) AF executing some task.

c) over time with experience.

d) All of the above.

Answer. D

16. what data science do for airlines industry.

a) predict flight delays.

b) Decides which class of airplanes to bus.

d) passenger preferences to the specific root.

d) All of the above.

Answer. D

17. Cortana is an example of speech recognition.

a) True

b) false

Answer. B

18. Data mining is a subset of.

a) data science.

b) AI

c) ML 

d) None.

Answer. A

19. weka is data mining tool.

a) true

b) false

Answer. A

20. Seasonality and segments are factors of..................?

a) Experimentation

b) Regression

c) Development

d) None.

Answer. A

21. ....................is rapidly being adopted for computing descriptive & query types of analytics on big data.

a) EDR

b) Hadoop  

c) Azure

d) Infosight

Answer. B 

22. _____ involves predicting a response with meaningful magnitude such as quantity sold, stock price,or return an investment.

a) Regression

b) Summarization

c) clustering.

d) classification

Answer. A

23. IDE stands for. 

a) Integrated development environment

b) Interoperated developed environment

c) Interconnected developing environment

d) None.

Answer. A

24. Keras is an....................... standard for defining & training learning models.

a) APO

b) API

c) IDE

d) None

Answer. B

25. HDFS stands for.

a) Hadoop distribution file security.

b) Hadoop distributed file system.

c) Hadoop destination file system.

d) None.

Answer. B

26. Hadoop was founded by.

a) ASF

b) API

c) Both a. &  b.

d) None

Answer. A

27. ASF stands for............

a) Apache system foundation.

b) Approved software foundation.

c) Apache software foundation.

d) All .

Answer.  C

28. ORCH stands for.

a) Oracle connector

b) Oracle R connector

c) Oracle R container with Hadoop.

d) both (a) & (c) 

Answer.  B

29. which of the followings are the role of data scientist.

a) management.

b) strategy.

c) colaboration.

d) All of the above.

Answer.  D

30. The applications of Data Science are

a) Airline Route Planning

b) Healthcare

c)Fraud and Risk Detection

d) All of the above

Answer: D