A team needs to classify images of animals into cats, dogs, and birds. They have a labeled dataset. Which algorithm is most appropriate for this task?

Support vector machine (SVM) with a suitable kernel

What is overfitting in supervised learning?

The model performs well on training data but poorly on new, unseen data.

The model is too simple to capture the underlying patterns in the data.

The model requires too much computational resources to train.

The model performs poorly on training data but well on test data.

Why is it important to keep the test set separate from the training set?

To ensure the model is evaluated on data it has not seen before.

To increase the size of the training set.

To allow the model to learn from the test labels.

To reduce the computational cost of training.

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Domain 3Objective 1

Supervised Learning CT-AI Practice Questions (Page 2)

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 6–10

6application · medium
A team needs to classify images of animals into cats, dogs, and birds. They have a labeled dataset. Which algorithm is most appropriate for this task?
Select an answer first
7foundation · easy
What is overfitting in supervised learning?
Select an answer first
8foundation · easy
Why is it important to keep the test set separate from the training set?
Select an answer first
9foundation · easy
A model is trained to predict the temperature tomorrow based on historical weather data. What type of supervised learning task is this?
Select an answer first
10application · medium
An e-commerce company wants to categorize customer reviews as positive, neutral, or negative. They have a dataset of reviews with manually assigned sentiment labels. Which type of supervised learning task is this?
Select an answer first

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Supervised Learning CT-AI Practice Questions (Page 2)

Questions 6–10

A team needs to classify images of animals into cats, dogs, and birds. They have a labeled dataset. Which algorithm is most appropriate for this task?

What is overfitting in supervised learning?

Why is it important to keep the test set separate from the training set?

A model is trained to predict the temperature tomorrow based on historical weather data. What type of supervised learning task is this?

An e-commerce company wants to categorize customer reviews as positive, neutral, or negative. They have a dataset of reviews with manually assigned sentiment labels. Which type of supervised learning task is this?

Keep studying — Domain 3: Machine Learning (ML) - Overview