Certified Tester Testing with Generative AI
Domain 5Objective 3
Selecting LLMs/SLMs for Software Test Tasks CT-GENAI Practice Questions (Page 1)
Part of the Deploying and Integrating Generative AI in Test organizations domain, which makes up ~23% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~6–9 in this domain), expect 1–1 from this objective — we provide 30 practice questions to prepare you well beyond it. (estimate)
30questions here
6free pages
10concepts
Questions 1–5
- 1
When selecting a language model for testing, which ethical consideration is most relevant to the model's training data?
Select an answer first - 2
In which software testing context is a large language model (LLM) most likely to be preferred over a small language model (SLM)?
Select an answer first - 3
A team needs a model to predict which test cases are likely to fail based on code changes. The model will be used in a CI pipeline where a prediction must be made within 100 milliseconds. The team has a GPU server available. Which model characteristic is most critical for this task?
Select an answer first - 4
A startup is building a test automation tool and needs to choose between an LLM and an SLM for generating test scripts. The LLM has a higher upfront cost and requires a powerful GPU server, while the SLM can run on existing hardware. The startup expects to generate 50,000 test scripts per month. Which factor is most important in their cost-benefit analysis?
Select an answer first - 5
When calculating the total cost of ownership (TCO) for a language model in a testing workload, which cost component should be included?
Select an answer first
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