
Certified Tester AI Testing
Domain 8Objective 7
Test Oracles for AI-Based Systems CT-AI Practice Questions (Page 1)
Part of the Domain 8: Testing AI-Specific Quality Characteristics domain, which makes up ~13% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~3–5 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
10concepts
Questions 1–5
- 1
A financial firm is testing an AI system that predicts daily stock price movements. The system is non-deterministic: running the same input twice can produce slightly different outputs due to stochastic elements. The test team needs an oracle to judge whether a prediction is acceptable. Which oracle approach is most suitable?
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Which type of oracle is most suitable for validating AI outputs in a regression task where the distribution of errors should be approximately normal?
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A team is testing an AI system that predicts whether a loan applicant will default. The system outputs a probability of default. The team has historical data on actual defaults for a test set. They are evaluating two candidate oracles: Oracle A flags applicants with predicted probability > 0.5, and Oracle B flags applicants with predicted probability > 0.7. The team wants to minimize the risk of missing actual defaults (high recall) while keeping the number of false alarms manageable. Which oracle should they choose?
Select an answer first - 4
For an AI system that predicts house prices, which oracle type is most appropriate when a large dataset of historical sales is available and the goal is to check that predictions are statistically consistent with past data?
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What does the precision of a test oracle measure?
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