Which scenario is the best example of using machine learning rather than traditional programming?

Developing a program that sorts a list of names alphabetically using a standard sorting algorithm.

Implementing a simple calculator that performs addition, subtraction, multiplication, and division.

Training a model on thousands of labeled images to recognize whether a photo contains a cat or a dog.

Writing a function that calculates the total price of items in a shopping cart by multiplying quantity by unit price.

A retail company has a large dataset of customer purchase histories but no predefined customer segments. The marketing team wants to automatically discover distinct groups of customers with similar buying behavior to tailor promotions. Which form of ML should be used?

Reinforcement learning to optimize promotion strategies over time

Supervised classification to assign customers to known segments

Supervised regression to predict customer lifetime value

Unsupervised clustering to find natural groupings in the data

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Domain 3Objective 5

Selecting a Form of ML 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 29 practice questions to prepare you well beyond it. (estimate)

29questions here

6free pages

6concepts

Questions 16–20

16application · medium
A social media platform wants to automatically detect and remove hate speech. They have a large dataset of posts labeled as 'hate speech' or 'normal'. The model must classify new posts into these two categories. Which form of ML should be used?
Select an answer first
17foundation · easy
Which unsupervised learning technique is used to reduce the number of input features while retaining the most important information?
Select an answer first
18foundation · easy
Which component of reinforcement learning provides feedback to the agent about the quality of its actions?
Select an answer first
19foundation · easy
Which scenario is the best example of using machine learning rather than traditional programming?
Select an answer first
20application · medium
A retail company has a large dataset of customer purchase histories but no predefined customer segments. The marketing team wants to automatically discover distinct groups of customers with similar buying behavior to tailor promotions. Which form of ML should be used?
Select an answer first

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Selecting a Form of ML CT-AI Practice Questions (Page 4)

Questions 16–20

A social media platform wants to automatically detect and remove hate speech. They have a large dataset of posts labeled as 'hate speech' or 'normal'. The model must classify new posts into these two categories. Which form of ML should be used?

Which unsupervised learning technique is used to reduce the number of input features while retaining the most important information?

Which component of reinforcement learning provides feedback to the agent about the quality of its actions?

Which scenario is the best example of using machine learning rather than traditional programming?

A retail company has a large dataset of customer purchase histories but no predefined customer segments. The marketing team wants to automatically discover distinct groups of customers with similar buying behavior to tailor promotions. Which form of ML should be used?

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