AI/ML Fundamentals Quiz - Competitive Exams AWS_AI_Practitioner
Free practice quiz: AI/ML Fundamentals (Competitive Exams AWS_AI_Practitioner). 70 multiple-choice questions with answers and explanations. Play online, no sign-up needed.
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Which type of machine learning algorithm learns from labeled training data to make predictions?
- Unsupervised learning
- Reinforcement learning
- Self-supervised learning
- Supervised learning
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Answer: D. Supervised learning
What does 'backpropagation' refer to in neural network training?
- The technique of pruning unnecessary neurons
- The process of propagating errors backward through the network to update weights
- The method of initializing weights randomly
- The forward pass of input data through the network
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Answer: B. The process of propagating errors backward through the network to update weights
What is the primary purpose of feature engineering?
- To increase the number of model parameters
- To transform raw data into representations that improve model performance
- To reduce the number of training epochs required
- To replace the need for a validation set
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Answer: B. To transform raw data into representations that improve model performance
Which of the following is a common technique for handling missing data in a dataset?
- Increasing the learning rate
- Imputation using mean, median, or mode
- Adding more hidden layers
- Using a larger batch size
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Answer: B. Imputation using mean, median, or mode
What is the purpose of a confusion matrix in classification?
- To visualize the architecture of a neural network
- To plot the training loss over epochs
- To compute the gradient of the loss function
- To summarize true positives, true negatives, false positives, and false negatives
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Answer: D. To summarize true positives, true negatives, false positives, and false negatives