What is the primary purpose of a test set in supervised learning?

To train the model's parameters.

To augment the training data with additional examples.

To evaluate the model's performance on unseen data.

To tune hyperparameters during training.

Which statement best describes supervised learning?

The model learns a mapping from inputs to outputs using labeled examples.

The model learns patterns from input data without any corresponding output labels.

The model generates new data samples that resemble the training data distribution.

The model improves by receiving feedback on its actions from the environment.

A startup wants to build a model to predict house prices. They have a dataset with features like square footage, location, and number of bedrooms, but no target values. Which approach should they take?

Use a decision tree to predict prices without labels

Collect labeled data with actual sale prices before using supervised learning

Use reinforcement learning to learn pricing from feedback

Use unsupervised clustering to predict prices

A company has a large dataset of customer emails. They want to build a spam classifier. They have labels for 10,000 emails, but the labels were generated by an automated system that is known to be 80% accurate. What is the best approach?

Use reinforcement learning to learn from user feedback

Use unsupervised learning to avoid the noisy labels

Manually review and correct the labels before training

Use the labels as-is because they are mostly correct

Certified Tester AI Testing

Domain 3Objective 1

Supervised Learning CT-AI Practice Questions (Page 4)

Part of the Domain 3: Machine Learning (ML) - Overview domain, which makes up ~15% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~4–6 in this domain), expect 1–1 from this objective — we provide 27 practice questions to prepare you well beyond it. (estimate)

27questions here

6free pages

6concepts

Questions 16–20

16foundation · easy
What is the primary purpose of a test set in supervised learning?
Select an answer first
17foundation · easy
Which statement best describes supervised learning?
Select an answer first
18application · medium
A startup wants to build a model to predict house prices. They have a dataset with features like square footage, location, and number of bedrooms, but no target values. Which approach should they take?
Select an answer first
19application · medium
A team trains a spam classifier and evaluates it on a test set. The model correctly identifies 90% of all emails in the test set. Which metric does this describe?
Select an answer first
20expert · hard
A company has a large dataset of customer emails. They want to build a spam classifier. They have labels for 10,000 emails, but the labels were generated by an automated system that is known to be 80% accurate. What is the best approach?
Select an answer first

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