Data Science MCQ Questions

Data Science MCQ Questions

  • Satyam Jaiswal
  • 22nd Nov, 2021

We are introducing here the best Data Science MCQ Questions, which are very popular & asked various times. This Quiz contains the best 25+ Data Science MCQ with Answers, which cover the important topics of Data Science so that, you can perform best in Data Science exams, interviews, and placement activities.

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Data Science MCQ Questions

1) _________ is the most important language for Data Science.

  • A. Java
  • B.Python
  • C.R
  • D.Ruby

2) _________ is one of the key data science skills.

  • A. Machine Learning
  • B.Statistics
  • C.Data Visualization
  • D.All of the above

3) Raw data should be processed only one time.

  • A. True
  • B.False

4) A data scientist is a job title for an employee or business intelligence (BI) consultant who excels at analyzing data, particularly large amounts of data.

  • A. True
  • B.False

5) Which among the following is the top most important thing in data science?

  • A. Answer
  • B.Question
  • C.Data
  • D.None of the above

6) Which approach should be used if you can’t fix the variable?

  • A. non stratify it
  • B.generalize it
  • C.randomize it
  • D.None of the above

7) _________ is a good way of performing experiments in data science.

  • A. Have Replication
  • B.Generalize to the problem
  • C.Measure variability
  • D.All of the above

8) Data fishing is sometimes referred to as __________.

  • A. Data bagging
  • B.Data merging
  • C.Data dredging
  • D.None of the above

9) Data dredging, is also known as __________.

  • A. Data bagging
  • B.Data merging
  • C.Data booting
  • D.Data snooping

10) __________ data mining technique is used to uncover patterns in data.

  • A. Data merging
  • B.Data booting
  • C.Data Dredging
  • D.All of the above

11) CLI stands for ________.

  • A. Command Line Intercom
  • B.Command Line Interface
  • C.Command Language Interface
  • D.None of the above

12) _________ is not a CLI command.

  • A. delete
  • B.clear
  • C.rm
  • D.None of the above

13) _________ is a revision control system.

  • A. NumPy
  • B.Git
  • C.Both A and B
  • D.None of the above

14) _______ gives information about top level data.

  • A. Head
  • B.Tail
  • C.Both A and B
  • D.None of the above

15) How many principles of analytical graphs exist?

  • A. 3
  • B.5
  • C.7
  • D.6

16) Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor.

  • A. True
  • B.False

17) Timedeltas are differences in times, expressed in difference units.

  • A. True
  • B.False

18) Which of the following approach should be used if you can’t fix the variable?

  • A. generalize it
  • B.randomize it
  • C.non stratify it
  • D.None of the above

19) The applications of Data Science are __________.

  • A. Healthcare
  • B.Fraud and Risk Detection
  • C.Airline Route Planning
  • D.All of the above

20) The data science applications in healthcare are _______.

  • A. Data Science for Medical Imaging
  • B.Data Science for Genomics
  • C.Drug Discovery with Data Science
  • D.All of the above

21) The main classes in predictive modeling are ________.

  • A. Parametric Predictive Modeling
  • B.Non-Parametric Predictive Modeling
  • C.Both A and B
  • D.None of the above

22) Features of R are ________.

  • A. Open-source
  • B.Analytical support
  • C.Supports extensions
  • D.All of the above

23) Normal Distribution is also known as_______.

  • A. Gaussian Distribution
  • B.Class Distribution
  • C.Permanent Distribution
  • D.None of the above

24) The kernels used in SVM are ___________.

  • A. Gaussian Kernel
  • B.Polynomial Kernel
  • C.Sigmoid Kernel
  • D.All of the above

25) Some of the important libraries of Python that are used in Data Science are _________.

  • A. Pandas
  • B.Numpy
  • C.Both A and B
  • D.None of the above

26) Capping and Flooring would be the most appropriate strategy for performing data cleaning prior to the clustering operation.

  • A. True
  • B.False

27) Data that summarize all observations in a category are called __________ .

  • A. summarized data
  • B.frequency data
  • C.Both A and B
  • D.None of the above

28) Raw Data is also known as ________.

  • A. secondary data
  • B.permanent data
  • C.destination data
  • D.eggy data

29) Advantages of Data Science are __________.

  • A. Abundance of Positions
  • B.A Highly Paid Career
  • C.Data Science is Versatile
  • D.All of the above

30) Disadvantages of Data Science are _______.

  • A. Large Amount of Domain Knowledge Required
  • B.Arbitrary Data May Yield Unexpected Results
  • C.Data Science is Blurry Term
  • D.All of the above

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