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iSQI CT-AI Exam - Topic 5 Question 34 Discussion

Which of the following approaches would help overcome testing challenges associated with probabilistic and non-deterministic AI-based systems?
D) Run the test several times to generate a statistically valid test result to ensure that an appropriate number of answers are accurate
A) Run the test several times to ensure that the AI always returns the same correct test result
B) Decompose the system test into multiple data ingestion tests to determine if the AI system is getting a sufficient volume of input data
C) Decompose the system test into multiple data ingestion tests to determine if the AI system is getting precise and accurate input data

iSQI CT-AI Exam - Topic 5 Question 34 Discussion

Actual exam question for iSQI's CT-AI exam
Question #: 34
Topic #: 5
[All CT-AI Questions]

Which of the following approaches would help overcome testing challenges associated with probabilistic and non-deterministic AI-based systems?

Show Suggested Answer Hide Answer
Suggested Answer: D

The syllabus states:

''When testing probabilistic and non-deterministic systems, the same input may produce different outputs. Tests need to be run several times to produce statistically valid test results, ensuring that an appropriate number of answers are accurate.''

(Reference: ISTQB CT-AI Syllabus v1.0, Section 8.4, page 58 of 99)


by Emily at Mar 04, 2026, 09:49 AM

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Yen
5 days ago
I’m leaning towards A. Consistency is important for testing.
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Catherin
10 days ago
Option D seems solid. Statistically valid results are crucial.
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Elli
15 days ago
I prefer option C. Accuracy is key for AI performance.
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Sena
21 days ago
I think option B is the best. Input volume matters!
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Susana
26 days ago
I’m not sure. Running tests multiple times sounds safe, but I lean towards C.
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Lawrence
1 month ago
Option B makes sense too. Volume of data can affect performance.
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Burma
1 month ago
I prefer option D. Statistically valid results are important for reliability.
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Ahmed
1 month ago
I think option C is the best. Accurate data is crucial for AI.
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Sherita
2 months ago
I’m not sure. Running tests multiple times sounds safe, but I lean towards C.
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Sherell
2 months ago
Option B makes sense too. Volume of data can affect performance.
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Heike
2 months ago
I prefer option D. Statistically valid results are important for reliability.
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Tyra
2 months ago
I think option C is the best. Accurate data is crucial for AI.
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Karl
2 months ago
C sounds interesting, but how do we measure "precise and accurate"?
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Stevie
2 months ago
Really? Running tests multiple times doesn't guarantee accuracy.
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Cecilia
4 months ago
A is just wishful thinking; AI won't always be consistent.
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Emilio
4 months ago
I think D makes more sense for statistical validity.
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Quentin
4 months ago
Option B is key for understanding data quality.
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Doug
4 months ago
C is crucial for ensuring data accuracy, totally agree!
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Lucy
5 months ago
Wait, can we really trust the results from multiple runs?
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Rory
5 months ago
A won't work since AI can be unpredictable!
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Rodrigo
5 months ago
I think D is the best choice for statistical validity.
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Brynn
5 months ago
Option B seems solid for checking input volume.
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Lai
5 months ago
Option D seems like a solid approach since generating statistically valid results could help validate the AI's performance, but I’m not entirely confident about how many runs are needed.
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Laticia
5 months ago
I feel like option C is important too, since precise and accurate data is key for AI systems, but I wonder if we should focus more on the volume aspect instead.
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Leeann
6 months ago
I think option B makes sense because understanding the volume of input data is crucial for AI performance, but I can't recall if it directly addresses the testing challenges.
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Harrison
6 months ago
I remember discussing how running tests multiple times can help with variability, but I'm not sure if just getting the same result is enough.
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