MCQs

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Overall MCQs for Reference

1. Which of the following is the primary purpose of Keras?
   a. To create low-level machine learning algorithms
   b. To simplify the building and training of deep learning models
   c. To serve as a database
   d. To manage hardware
   Answer: b. To simplify the building and training of deep learning modelsgeeksforgeeks​
2. Keras is written in which programming language?
   a. Java
   b. C++
   c. Python
   d. Ruby
   Answer: c. Pythonfreetimelearning​
3. Who developed Keras?
   a. Andrew Ng
   b. Ian Goodfellow
   c. François Chollet
   d. Geoffrey Hinton
   Answer: c. François Cholletincludehelp​
4. Keras can run on top of which machine learning platform?
   a. CNTK
   b. TensorFlow
   c. Theano
   d. All of the above
   Answer: d. All of the aboveincludehelp+1​
5. Which company is TensorFlow associated with?
   a. Microsoft
   b. IBM
   c. Google
   d. Facebook
   Answer: c. Googleincludehelp​
6. What kind of neural networks does Keras support?
   a. Only convolutional
   b. Only recurrent
   c. Both convolutional and recurrent
   d. None
   Answer: c. Both convolutional and recurrentincludehelp​
7. What is the Keras Sequential API used for?
   a. Arranging layers in parallel
   b. Arranging layers in sequential order
   c. Data preprocessing
   d. Loss calculation
   Answer: b. Arranging layers in sequential orderincludehelp​
8. How many backend engines does Keras consist of by default?
   a. 1
   b. 3
   c. 5
   d. 2
   Answer: b. 3includehelp​
9. What is the main advantage of using Keras?
   a. Complexity
   b. User-friendliness
   c. High memory usage
   d. No support for layers
   Answer: b. User-friendlinesstheaiops​
10. Which Keras model is better for a densely-connected network?
    a. Sequential model
    b. Functional API model
    c. Transfer learning model
    d. None
    Answer: a. Sequential modelincludehelp​
11. What topology can Keras functional API handle?
    a. Only linear
    b. Only non-linear
    c. Both linear and non-linear
    d. None
    Answer: c. Both linear and non-linearmlstack+1​
12. Does Keras allow you to create custom layers?
    a. Yes
    b. No
    c. Only with TensorFlow
    d. Only with Theano
    Answer: a. Yesgithub+1​
13. Which of the following is NOT a backend supported by Keras?
    a. TensorFlow
    b. Theano
    c. PyTorch
    d. CNTK
    Answer: c. PyTorchscribd​
14. What is a Lambda layer in Keras used for?
    a. Repeating input
    b. Arbitrary expressions
    c. Normalization
    d. Dense connections
    Answer: b. Arbitrary expressionsincludehelp​
15. What does the Embedding layer in Keras support?
    a. Convolutions
    b. Masking
    c. Dropout
    d. Pooling
    Answer: b. Maskingincludehelp​
16. What is the default data format for images in Keras?
    a. Channels_last
    b. Channels_first
    c. RGB
    d. Binary
    Answer: a. Channels_lastdevopsschool​
17. What is the main data structure of Keras?
    a. Layer
    b. Model
    c. Optimizer
    d. Metric
    Answer: b. Modelgithub​
18. Which Keras function is used to predict output for new data?
    a. fit()
    b. evaluate()
    c. predict()
    d. compile()
    Answer: c. predict()includehelp​
19. What does the fit() method do in Keras?
    a. Evaluates model
    b. Predicts output
    c. Trains model
    d. Visualizes model
    Answer: c. Trains modelfreetimelearning​
20. Which principle does Keras follow?
    a. Modularity
    b. User-friendliness
    c. Extensibility
    d. All of the above
    Answer: d. All of the aboveincludehelp​
21. What kind of library is Theano to Keras?
    a. Visualization library
    b. Mathematical operation library
    c. Pre-trained model library
    d. Dataset library
    Answer: b. Mathematical operation libraryincludehelp​
22. What does the compile() method in Keras do?
    a. Initializes model weights
    b. Sets up training configuration
    c. Disables model layers
    d. Activates GPU
    Answer: b. Sets up training configurationgithub​
23. What are the main types of Keras models?
    a. Sequential and Functional
    b. Recurrent and Convolutional
    c. Discrete and Continuous
    d. None
    Answer: a. Sequential and Functionalgithub​
24. Which of the following is true about Keras layers?
    a. Only supports Dense layers
    b. Supports multiple types of layers
    c. Only supports Convolutional layers
    d. Only supports Recurrent layers
    Answer: b. Supports multiple types of layersfreetimelearning+1​
25. Which Keras method is used for model evaluation?
    a. fit()
    b. evaluate()
    c. predict()
    d. compile()
    Answer: b. evaluate()freetimelearning​
26. What is the Keras functional API best for?
    a. Fixed architecture
    b. Complex, non-linear models
    c. Only CNNs
    d. Only RNNs
    Answer: b. Complex, non-linear modelsmlstack+1​
27. Which layer would you use to change the shape of input?
    a. Dropout
    b. Dense
    c. Flatten
    d. Reshape
    Answer: d. Reshapeincludehelp​
28. What is needed before calling fit() in Keras?
    a. Model compilation
    b. Data splitting
    c. Training data normalization
    d. GPU initialization
    Answer: a. Model compilationgithub​
29. Keras provides which type of support for data augmentation?
    a. Built-in
    b. Third-party library only
    c. Not supported
    d. Requires Theano
    Answer: a. Built-intheaiops​
30. What does the Dropout layer in Keras do?
    a. Increases accuracy
    b. Reduces overfitting
    c. Adds more layers
    d. Removes loss
    Answer: b. Reduces overfittingtheaiops+1​
31. Which optimizer is NOT in Keras by default?
    a. SGD
    b. Adam
    c. RMSprop
    d. LBFGS
    Answer: d. LBFGSgithub​
32. For multi-class classification, which activation function is commonly used in the output layer?
    a. Sigmoid
    b. Softmax
    c. ReLU
    d. Tanh
    Answer: b. Softmaxgithub​
33. What is early stopping in Keras?
    a. More epochs
    b. Halts training on improvement
    c. Stops when accuracy drops
    d. Ignores loss
    Answer: b. Halts training on improvementdevopsschool+1​
34. Which Keras layer can be used to repeat the input n times?
    a. Flatten
    b. RepeatVector
    c. Embedding
    d. Lambda
    Answer: b. RepeatVectorincludehelp​
35. What is the primary advantage of using Keras over other libraries?
    a. No GPU support
    b. Fast experimentation
    c. Deprecated features
    d. No modularity
    Answer: b. Fast experimentationfreetimelearning​
36. Which method saves a trained Keras model?
    a. save()
    b. dump()
    c. export()
    d. backup()
    Answer: a. save()github​
37. Keras models can run on which hardware?
    a. CPUs only
    b. GPUs and TPUs
    c. No hardware required
    d. Only Linux systems
    Answer: b. GPUs and TPUsdevopsschool+1​
38. What is the purpose of validation_data in fit()?
    a. Updates weights
    b. Monitors performance
    c. Sets learning rate
    d. Compiles model
    Answer: b. Monitors performancegithub​
39. Can Keras models be exported for use in browsers?
    a. Yes
    b. No
    c. Only with PyTorch
    d. Only on Windows
    Answer: a. Yesdevopsschool​
40. Which layer acts as a base class for Keras recurrent layers?
    a. Dense
    b. Flatten
    c. RNN
    d. Embedding
    Answer: c. RNNincludehelp​
41. Which Keras function helps detect learning deviations or faults?
    a. predict()
    b. fit()
    c. Keras loss function
    d. compile()
    Answer: c. Keras loss functionincludehelp​
42. What is a popular data generator utility in Keras?
    a. ImageDataGenerator
    b. DataFrameGenerator
    c. TensorGenerator
    d. ArrayFeed
    Answer: a. ImageDataGeneratorgithub​
43. Which Keras layer enables time-distributed computation in neural networks?
    a. TimeDistributed
    b. Sequential
    c. Dense
    d. Flatten
    Answer: a. TimeDistributedgithub​
44. Does Keras support multiple platforms?
    a. Yes
    b. No
    c. Only Windows
    d. Only Linux
    Answer: a. Yesincludehelp​
45. What is batch_size in Keras used for?
    a. Number of features
    b. Size of one batch for training
    c. Dataset splitting
    d. Loss calculation
    Answer: b. Size of one batch for traininggithub​
46. Which functional API argument connects layers?
    a. inputs and outputs
    b. classes and features
    c. weights and biases
    d. metrics and losses
    Answer: a. inputs and outputsmlstack+1​
47. Keras provides which loss function for regression?
    a. binary_crossentropy
    b. categorical_crossentropy
    c. mean_squared_error
    d. sparse_categorical_crossentropy
    Answer: c. mean_squared_errorgithub​
48. Which of the following best describes Keras?
    a. Low-level API
    b. High-level API
    c. Old API
    d. Video API
    Answer: b. High-level APIvskills+1​
49. Keras supports which type of model deployment?
    a. Cloud only
    b. Mobile, Cloud, Browser
    c. Desktop only
    d. None
    Answer: b. Mobile, Cloud, Browserdevopsschool​
50. How can layers be customized in Keras?
    a. Custom Class Layer
    b. Lambda Layer
    c. Only Dense Layer
    d. Both a and b
    Answer: d. Both a and bgithub+1​

1. https://www.geeksforgeeks.org/quizzes/introduction-to-tensorflow-and-keras/
2. https://www.freetimelearning.com/online-quiz/keras-mcq.php
3. https://www.includehelp.com/mcq/keras-mcqs.aspx
4. https://www.theaiops.com/top-keras-interview-questions-with-answers/
5. https://www.mlstack.cafe/blog/keras-interview-questions
6. https://github.com/Devinterview-io/keras-interview-questions
7. https://www.scribd.com/document/493946765/eBook-Deep-Learning-Objective-Type-Questions
8. https://www.devopsschool.com/blog/top-50-interview-questions-and-answers-of-keras/
9. https://www.vskills.in/interview-questions/keras-interview-questions
10. https://www.freshersnow.com/keras-mcqs-and-answers-with-explanation/
11. https://www.adaface.com/assessment-test/keras-test
12. https://www.gyansetu.in/blog/machine-learning-mcq-interview-preparation/
13. https://devinterview.io/questions/machine-learning-and-data-science/keras-interview-questions/
14. https://cloudxlab.com/assessment/displayslide/5891/mcq-the-deep-learning-models-from-keras-applications
15. https://statinfer.com/20-multiple-choice-questions-on-tensorflow/
16. https://www.scribd.com/document/653675052/DL-Mcq
17. https://www.kaggle.com/code/saikiranvepamani/keras-api-project-exercise
18. https://www.imocha.io/tests/keras-online-test
19. https://www.vskills.in/interview-questions/deep-learning-with-keras-interview-questions
20. https://www.sanfoundry.com/1000-machine-learning-questions-answers/