Data Science MCQ Questions

Data Science MCQ Questions | Freshers & Experienced

  • Satyam Jaiswal
  • 20th May, 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.

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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