Top 30 Machine Learning MCQs with Answers

Last updated by Naina Batra on Nov 08, 2024 at 02:10 AM | Reading time: 6 minutes

The demand for machine learning (ML) and artificial intelligence (AI) specialists is estimated to grow exponentially by 2027. With the increase in demand and employment rate, there is increased competition to get the best machine learning jobs in high-tech companies with attractive salaries. Companies narrow down their hiring by filtering the top candidates among the best ones.

So, before you take the leap into the world of FAANG interviews and beyond, take some time to do a self-assessment. Go through the list of MCQs to delve deeper into your understanding of machine learning concepts and methodologies.

Machine Learning MCQs

Let us begin with machine learning MCQ questions and answers that cover ML basics to more advanced levels. You can evaluate your understanding of machine learning with these questions. This will help you build confidence and get better at machine learning concepts.

Here are some machine learning MCQ questions and answers.

Q1. ________ is the application of machine learning.

Sentimental analysis
Traffic prediction
Speech and face recognition
All of the above

Answer: d. All of the above

Q2. From the following, _______ is not a feature of K-Nearest Neighbors (KNN).

KNN is simple and pretty intuitive
KNN constantly evolves
KNN has assumptions
No Training Step

Answer: c. KNN has assumptions

Q3. Which of the following is the main goal of machine learning?

Enable computers to learn data
To automate manual tasks
To make computers intelligent
To generate self-aware machines

Answer: a. Enable computer to learn data

Q4. Choose the real-world application of ML from the following.

Fraud detection
Chatbots
Digital assistants
All of the above

Answer: d. All of the above

Q5. Which of the following ML algorithms can be used with unlabelled data?

Instance-based algorithms
Regression algorithms
Clustering algorithm
All of the above

Answer: c. Clustering algorithms

Q6. Machine learning is a subset of _______.

Deep learning
Data earning
Artificial intelligence
All of the above

Answer: c. Artificial intelligence

Q7. From the following, choose the successful applications of ML

Learning to recognize spoken words
Learning to classify astronomical structures
Learning to drive an autonomous vehicles
All of the above

Answer: d. All of the above

Q8. From the following, ________ is not machine learning.

Rule-based interference
Artificial intelligence
Both a and b
Neither a nor b

Answer: a. Rule-based interference

Q9. Choose a machine learning technique from the following.

Speech recognition and regression
Genetic programming and induction learning
Both a and b are correct
Neither a nor b is correct

Answer: b. Genetic programming and induction learning

Q10. Which of the following elements defines the Candidate-Elimination algorithm?

Just a set of candidates' hypothesis
Set of instances, set of candidate hypothesis
Depends on the dataset
Just a set of instances

Answer: b. Set of instances, set of candidate hypothesis

Q11. FIND-S algorithm ignores ______.

Negative
Positive
With positive or negative
Neither positive nor negative

Answer: a. Negative

Q12. ________ is an example of stacking.

Voting Classifier
Random Forest
AdaBoost
Bagged Decision Trees

Answer: a. Voting Classifier

Q13. ________ is a clustering algorithm in ML.

CART
Expectation Maximisation
Apriori
Gaussian Naive Bayes

Answer: b. Expectation Maximisation

Q14. Which of the following is the most significant phase in the genetic algorithm?

Fitness function
Selection
Mutation
Crossover

Answer: d. Crossover

Q15. Dimensionality reduction reduces in _______.

Collinearity
Entropy
Stochastics
Performance

Answer: a. Collinearity

Q16. _______ model is a generative model used in ML

Naive Bayes
Linear Regression
Logistic Regression
Support vector machines

Answer: a. Naive Bayes

Q17. Choose the invalid statement for Ensemble voting.

It takes non-linear combinations for learners
It takes linear combinations for learners
It is the easiest way to merge multiple classifiers
It is also called ensembles and linear opinion pools

Answer: a. It takes non-linear combinations for learners

Q18. ML comprises learning algorithms that

Improve their performance
Over time with experience
At executing some task
All of the above

Answer: d. All of the above

Q19. Data points possess negative residual if

The regression lines truly pass through the point
They are above the regression line
They are below the regression line
None of the above

Answer: c. They are below the regression line

Q20. Which of the following models is trained with data only in a single batch?

Batch learning
Offline learning
Both a and b
Neither a nor b

Answer: c. Both a and b

Q21. ______machine learning algorithm is associated with the idea of bagging?

Decision tree
Classification
Random forest
Regression

Answer: c. Random forest

Q22. Different learning methods do not involve _______.

Analogy
Memorization
Introduction
Deduction

Answer: c. Introduction

Q23. From the following, choose the evaluation metric commonly used for classification tasks in the presence of class imbalance.

R-squared
F1-score
Accuracy
Mean Squared Error (MSE)

Answer: b. F1-score

Q24. ________ is not a supervised ML algorithm.

K-means
SVM for classification problems
Decision Tree
Naive Bayes

Answer: a. K-means

Q25. What do we call an application of machine learning methods to large databases?

Big data computing
Artificial intelligence
Data mining
Internet of Things (IoT)

Answer: c. Data mining

Q26. From the following, which is the appropriate definition of neuro software?

Software used by neurosurgeons
Software used to examine neurons
An easy and powerful neural network
Both a and b

Answer: c. An easy and powerful neural network

Q27. If the ML model output does not include the target variable, the model is called ______.

Predictive model
Descriptive model
Reinforcement learning
All of the above

Answer: b. Descriptive model

Q28. _______ is a supervised learning task.

Reinforcement learning
Dimensionality reduction
Clustering
Classification

Answer: d. Classification

Q29. ______ algorithm is used to identify frequent itemsets in transactional databases.

K-Means clustering
Decision Trees
Support Vector Machine (SVM)
Apriori algorithm

Answer: d. Apriori algorithm

Q30. Choose a valid statement with respect to bias and variance.

Models that underfit possess a low variance
Models that overfit possess a low bias
Models that underfit possess a high bias
Both a and b

Answer: d. Both a and b

Advance Your Machine Learning Career With Interview Kickstart

Machine learning MCQs are usually of medium difficulty but with practice and preparation, you can ace any machine learning interview. With Interview Kickstart's Machine Learning Course, you will learn the fundamentals of ML, programming languages like Python, classic machine learning concepts.

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FAQs: Machine Learning MCQs

Q1. What are the career opportunities in machine learning?

Some of the most prominent career opportunities in machine learning are: machine learning engineer, NLP engineer, machine learning developer, AI engineer, product manager, data scientist and software developer.

Q2. How much does a machine learning engineer earn?

The average salary of a machine learning engineer in the USA is $152,973 per year.

Q3. What are the skills required to be a machine learning engineer?

Here are some of the skills required to be a successful machine learning engineer.

ML basics and advanced concepts
Statistics and probability
Version control
Programming languages like Python, C, Java or more
DevOps

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AUTHOR

Naina Batra

Manager, Content Marketing

Machine Learning

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Top 30 Machine Learning MCQs with Answers

Contents

Naina Batra

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

How to Nail your next Technical Interview

Worried About Failing Tech Interviews?

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

Rubrik Interview Questions for Software Engineers

Top Advanced SQL Interview Questions and Answers

Twilio Interview Questions

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