MCQs

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Overall MCQs for Reference

1. Which type of data is essential for supervised machine learning?
   a. Unlabeled data
   b. Labeled data
   c. Mixed data
   d. Encrypted data
   Answer: b. Labeled dataplacementpreparation​
2. What programming construct allows you to execute a set of statements repeatedly?
   a. Function
   b. Loop
   c. Variable
   d. Class
   Answer: b. Loopexamradar​
3. What is the main function of a variable in programming?
   a. To perform calculations
   b. To control the flow
   c. To store data
   d. To create loops
   Answer: c. To store dataexamradar​
4. Which algorithm is primarily used for classification tasks?
   a. Linear Regression
   b. K-means
   c. Decision Tree
   d. PCA
   Answer: c. Decision Treeigmguru+1​
5. What is overfitting in machine learning?
   a. Model performs well on training but poorly on new data
   b. Model underfits training data
   c. Model fits data perfectly
   d. Model uses too many features
   Answer: a. Model performs well on training but poorly on new datageeksforgeeks+1​
6. Which of the following is not a programming language commonly used in ML?
   a. Python
   b. Java
   c. HTML
   d. R
   Answer: c. HTMLexamradar​
7. What does ‘if-else’ do in Python?
   a. Declares variables
   b. Performs math calculations
   c. Makes decisions
   d. Creates functions
   Answer: c. Makes decisionsexamradar​
8. Which library in Python is most widely used for data manipulation?
   a. NumPy
   b. pandas
   c. matplotlib
   d. sklearn
   Answer: b. pandasinterviewbit​
9. Which method from sklearn is used to split a dataset?
   a. split_data()
   b. train_test_split()
   c. divide_set()
   d. partition()
   Answer: b. train_test_split()placementpreparation​
10. What is a function in programming?
    a. A block to store data
    b. A block to reuse code
    c. A conditional statement
    d. A comment
    Answer: b. A block to reuse codeexamradar​
11. What is the main goal of supervised learning?
    a. Discovering clusters
    b. Predicting from labeled data
    c. Dimensionality reduction
    d. Feature extraction
    Answer: b. Predicting from labeled dataplacementpreparation​
12. Which is an example of unsupervised learning?
    a. Classification
    b. Clustering
    c. Regression
    d. Prediction
    Answer: b. Clusteringplacementpreparation​
13. Which of the following is a Python package for plotting graphs?
    a. TensorFlow
    b. NumPy
    c. matplotlib
    d. PyTorch
    Answer: c. matplotlibinterviewbit​
14. Which is the correct way to import NumPy as np in Python?
    a. import NumPy to np
    b. import numpy as np
    c. from numpy import np
    d. import np.numpy
    Answer: b. import numpy as npinterviewbit​
15. Which statement is used to define a class in Python?
    a. def
    b. class
    c. define
    d. structure
    Answer: b. classexamradar​
16. What does ‘dimensionality reduction’ refer to in ML?
    a. Reducing data points
    b. Reducing number of features
    c. Increasing sample size
    d. Increasing variables
    Answer: b. Reducing number of featuresgeeksforgeeks​
17. What is the output of a regression model?
    a. Categorical value
    b. Cluster label
    c. Continuous value
    d. Text
    Answer: c. Continuous valuegeeksforgeeks+1​
18. Which function is used to find the maximum value in an array in Python?
    a. maximum()
    b. largest()
    c. max()
    d. findmax()
    Answer: c. max()interviewbit​
19. Which keyword is used for comments in Python?
    a. //
    b. —
    c. #
    d. %%
    Answer: c. #examradar​
20. Which file type is commonly used for datasets in ML?
    a. .exe
    b. .csv
    c. .bin
    d. .pdf
    Answer: b. .csvinterviewbit+1​
21. What is the primary goal of unsupervised learning?
    a. Predict target values
    b. Discover hidden patterns
    c. Supervise models
    d. Optimize weights
    Answer: b. Discover hidden patternsplacementpreparation​
22. What does ‘import pandas as pd’ allow you to do in Python?
    a. Use pandas as pd
    b. Use pandas functions as pd.function()
    c. Both a and b
    d. None
    Answer: c. Both a and binterviewbit​
23. Which statement is true about k-means?
    a. It’s supervised
    b. It’s used for regression
    c. It’s unsupervised
    d. It’s a decision tree
    Answer: c. It’s unsupervisedigmguru+1​
24. Which type of error combines both bias and variance?
    a. Generalization error
    b. Training error
    c. Testing error
    d. Validation error
    Answer: a. Generalization errorsimplilearn​
25. Which sklearn function computes the confusion matrix?
    a. confusion()
    b. confusion_matrix()
    c. matrix()
    d. error_matrix()
    Answer: b. confusion_matrix()interviewbit​
26. What does the accuracy metric measure?
    a. Percentage of true positives
    b. Percentage of correct predictions
    c. Number of errors
    d. Number of features
    Answer: b. Percentage of correct predictionsgeeksforgeeks​
27. Which command installs the scikit-learn package?
    a. install pip sklearn
    b. pip install scikit-learn
    c. import sklearn
    d. setup sklearn
    Answer: b. pip install scikit-learninterviewbit​
28. Which is not a type of neural network layer?
    a. Convolutional
    b. Dense
    c. Dropout
    d. Schematic
    Answer: d. Schematicgyansetu​
29. What Python function prints output to the screen?
    a. show()
    b. printf()
    c. print()
    d. display()
    Answer: c. print()examradar+1​
30. What does ‘fit()’ typically do in machine learning libraries?
    a. Adjusts model parameters
    b. Plots a graph
    c. Loads a file
    d. Exports a model
    Answer: a. Adjusts model parametersinterviewbit​
31. What is a data structure?
    a. Tool for calculations
    b. Organized data collection
    c. A programming routine
    d. A variable
    Answer: b. Organized data collectionexamradar​
32. Which algorithm is commonly used for regression?
    a. K-means
    b. SVM
    c. Linear Regression
    d. KNN
    Answer: c. Linear Regressionigmguru+1​
33. Which method is used to drop rows with missing values in pandas?
    a. remove_nan()
    b. dropna()
    c. delete_na()
    d. remove_nulls()
    Answer: b. dropna()interviewbit​
34. Which statement defines a Python function?
    a. function myfunc():
    b. define myfunc():
    c. def myfunc():
    d. func myfunc():
    Answer: c. def myfunc():examradar+1​
35. Which phase in ML workflow comes after data preprocessing?
    a. Data collection
    b. Model training
    c. Data labeling
    d. Model deployment
    Answer: b. Model traininggeeksforgeeks​
36. What does ‘plt.plot()’ do in matplotlib?
    a. Create a plot
    b. Open a dataset
    c. Fit a model
    d. Print data
    Answer: a. Create a plotinterviewbit​
37. Which library is used for deep learning in Python?
    a. sklearn
    b. pandas
    c. TensorFlow
    d. matplotlib
    Answer: c. TensorFlowinterviewbit​
38. Which function is used to read a CSV in pandas?
    a. read_table()
    b. read_csv()
    c. import_csv()
    d. load_csv()
    Answer: b. read_csv()interviewbit​
39. Which programming statement is used for logical comparison in Python?
    a. for
    b. if
    c. elif
    d. if
    Answer: d. ifexamradar​
40. What does k in k-NN refer to?
    a. Number of features
    b. Number of clusters
    c. Number of nearest neighbors
    d. Number of layers
    Answer: c. Number of nearest neighborsgeeksforgeeks​
41. What does the term ‘training set’ mean?
    a. Data for predictions
    b. Data to train model
    c. Output data
    d. None
    Answer: b. Data to train modelsimplilearn​
42. What is the primary use of comments in code?
    a. Debugging
    b. To describe code
    c. To create variables
    d. To execute code
    Answer: b. To describe codeexamradar​
43. Which type of programming paradigm is used in Python?
    a. Object-oriented
    b. Functional
    c. Procedural
    d. All of the above
    Answer: d. All of the aboveexamradar+1​
44. What function normalizes feature values in sklearn?
    a. scale()
    b. normalize()
    c. fit_transform()
    d. sort()
    Answer: b. normalize()geeksforgeeks​
45. Which pandas function lists column headings?
    a. columns()
    b. col_names()
    c. head()
    d. get_columns()
    Answer: a. columns()interviewbit​
46. Which ML algorithm is based on decision surfaces?
    a. SVM
    b. k-NN
    c. Naive Bayes
    d. Random Forest
    Answer: a. SVMinterviewbit+1​
47. What is the file extension for Python files?
    a. .p
    b. .python
    c. .py
    d. .pt
    Answer: c. .pyexamradar+1​
48. Which protocol is often used for transferring database files?
    a. FTP
    b. HTTP
    c. SMTP
    d. POP
    Answer: a. FTPgeeksforgeeks​
49. Which of the following is not a machine learning task?
    a. Data cleaning
    b. Classification
    c. Clustering
    d. Regression
    Answer: a. Data cleaningaticleworld+1​
50. What is the core concept behind object-oriented programming (OOP)?
    a. Loops
    b. Functions
    c. Objects and Classes
    d. Data structures
    Answer: c. Objects and Classesexamradar​

1. https://www.placementpreparation.io/mcq/machine-learning/
2. https://examradar.com/basics-of-programming-concepts-and-languages-mcqs/
3. https://www.igmguru.com/blog/machine-learning-mcqs
4. https://www.geeksforgeeks.org/quizzes/machine-learning-quiz-questions-and-answers/
5. https://www.simplilearn.com/tutorials/machine-learning-tutorial/machine-learning-interview-questions
6. https://www.interviewbit.com/machine-learning-mcq/
7. https://www.geeksforgeeks.org/machine-learning/machine-learning-interview-questions/
8. https://www.gyansetu.in/blog/machine-learning-mcq-interview-preparation/
9. https://www.interviewbit.com/machine-learning-interview-questions/
10. https://aticleworld.com/machine-learning-mcq/
11. https://www.sanfoundry.com/1000-machine-learning-questions-answers/
12. https://interviewkickstart.com/blogs/articles/machine-learning-mcqs-answers
13. https://www.scribd.com/document/519305467/250-mcq-of-ml
14. https://www.scribd.com/document/526386199/Machine-Learning-Solved-Mcqs-set-1-McqMate-com
15. https://inttrvu.ai/top-25-machine-learning-interview-questions-and-answer/
16. https://analyticstraininghub.com/mcq-for-machine-learning/
17. https://www.algoexpert.io/machine-learning/coding-questions
18. https://www.datacamp.com/blog/top-machine-learning-interview-questions