25 Data Science MCQs with Answers

Last updated by Naina Batra on Aug 30, 2024 at 04:05 PM | Reading time:

Data Science MCQs with Answers

Q1. Which among these is based on feedback-based Machine Learning?

Supervise Machine Learning
Unsupervised Machine Learning
Semi-supervised Machine Learning
Reinforcement Machine Learning

Answer: 4. Reinforcement Machine Learning

Q2. In how many ways can you analyze data in Data Science?

2
3
4
7

Answer: 3. 4

Q3. Which data analysis is concerned with steps and actions to be taken in the future to obtain a specific outcome?

Predictive data analysis
Descriptive data analysis
Prescriptive data analysis
Diagnostic data analysis

Answer: 3. Prescriptive data analysis

Q4. Which of these functions is not suitable for importing csv files in R?

read.csv()
read_excel()
read.table()
Both a and b

Answer: 2. read_excel()

Q5. In which library will you find class() in R programming language?

class
stats
base
utils

Answer: 3. base

Q6. In Python, what output can you expect with time.time()

Current time in milliseconds only
Past 1 hour time
Current time in milliseconds since midnight of January 1, 1970, GMT
Current time in seconds since midnight of January 1, 1970, GMT

Answer: 3. Current time in milliseconds since midnight of January 1, 1970 GMT

Q7. Identify among the options which is not a core data type

Class
Dictionary
Lists
Tuples

Answer: 1. Class

Q8. Which type of statistics uses probability and is suitable to generalize a large data set?

Descriptive statistics
Inferential statistics
Both a and b
Statistics is not used for this task

Answer: 2. Inferential statistics

Q9. Which of these actions identifies data properties?

Data wrangling
Data mining
Data cleaning
Both a and b

Answer: 2. Data mining

Q10. Why do you sample data for data analysis?

To increase the dataset size
To decrease the dataset size
To decrease dimensionality
To select a representative subset of data

Answer: 4. To select a representative subset of data

Q11. Which supervised learning algorithm is preferable for data classification?

Random Forest
k-Means
Principal Component Analysis
Hierarchical Clustering

Answer: 1. Random Forest

Q12. Which method will you use to reduce the impact of outliers on the dataset?

Data transformation
Data cleaning
Robust scaling
Data processing

Answer: 3. Robust scaling

Q13. Select the commonly used algorithm in data science regression

Naive Bayes
k-Means
Logistic Regression
Decision Tree

Answer: 3. Logistic Regression

Q14. Under which rule does Procedural Domain Knowledge fit when considering a rule-based system?

Condition-Action Rule
Production Rule
Meta Rule
Control Rule
Both a and b

Answer: 5. Both a and b

Q15. What do you understand by K in the k-Mean algorithm?

Number of iterations
Number of attributes
Number of clusters
Number of data

Answer: 4. Number of clusters

Q16. What is the purpose of data munging?

Evaluation of model performance
Data visualizations
Preparing data for analysis
Feature selection

Answer: 3. Preparing data for analysis

Q17. What is the critical factor in choosing an appropriate node during tree construction?

Attribute with the highest information gain
Attribute with the high information gain and entropy
Attribute with the lowest information gain
Attribute with the high entropy

Answer: 1. Attribute with the highest information gain

Q18. What will be the consequence of the wrong choice of learning rate value in gradient descent?

Slow convergence
Local minima
Oscillations
All of the above

Answer: 4. All of the above

Q19. Which is the correct operation to fix violations in the Red-Black Tree after node deletion?

Balancing
Trimming
Recoloring
None of the above

Answer: 3. Recoloring

Q20. Choose the Python data structure responsible for the storage and manipulation of tabular data in Data Science.

Array
List
Dictionary
DataFrame

Answer: 4. DataFrame

Q21. Which type of ML algorithm is a Decision Tree?

Supervised Machine Learning
Unsupervised Machine Learning
Semi-supervised Machine Learning
Reinforcement Machine Learning

Answer: 1. Supervised Machine Learning

Q22. Linear regression models are preferable for

Interpretation
Predictions
Conclusion
Both a and b

Answer: 2. Predictions

Q23. Which of these is not the Meta Character of Regex in data analytics?

*
#
{}
^

Answer: 2. #

Q24. Which is preferable for text analysis among Python and R?

Python, quick storing
R, quick sorting
Python, high-performance data
R, high-performance data

1 and 3
1 and 4
2 and 4
2 and 3

Answer: a. 1 and 3

Q25. What do you understand by ‘Naive’ in Naive Bayes?

Independence of variables in the dataset
Based on Bayes theorem
Dependent dataset
Both a and b

Answer: 1. Independence of variables in the dataset

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25 Data Science MCQs with Answers

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Naina Batra

Attend our Free Webinar on How to Nail Your Next Technical Interview

How to Nail your next Technical Interview

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Tools to Enhance Full Stack Development with AI

The Future of Data Science: Emerging Trends and Opportunities

Data-Driven Decision Making: Your Roadmap to Business Success

The Business Impact of Machine Learning: Real-world Case Studies

What is OpenAI? Everything You Need to Know

Mock Interviews for Generative AI: Essential Practice to Land Top AI Roles

Top Python Scripting Interview Questions and Answers You Should Practice

Complex SQL Interview Questions for Interview Preparation

Zoox Software Engineer Interview Questions to Crack Your Tech Interview

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Twilio Interview Questions

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