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ISTQB Certified Tester AI Testing Exam Sample Questions (Q103-Q108):

NEW QUESTION # 103
Which characteristic of AI-based systems makes it difficult to ensure they are safe (e.g., not harming humans)?

Answer: A

Explanation:
The ISTQB CT-AI syllabus lists several characteristics that make it difficult to ensure safety in AI- based systems. Section2.8 - Safety and AIexplicitly names the characteristics that complicate safety assurance:complexity,non-determinism,probabilistic behavior,self-learning,lack of transparency, andlack of robustness. Among these,complexityis a core challenge because modern AI systems--particularly those using deep learning--have highly non-linear behavior, large numbers of parameters, and intricate interactions that are hard to predict.
Option B (Complexity) directly aligns with the syllabus and is therefore correct.


NEW QUESTION # 104
Which assignment of AI techniques to testing support is BEST?

Answer: A

Explanation:
The ISTQB CT-AI syllabus (Section5.2 - AI for Testing) explains that various AI approaches can support testing activities. Probabilistic methods--one of the three major AI technique groups--are used topredict system failures, especially when dealing with uncertainty, likelihood estimation, and reliability analysis. This aligns precisely with Option B.


NEW QUESTION # 105
Which ONE of the following options represents a technology MOST TYPICALLY used to implement Al?

Answer: C

Explanation:
Technology Most Typically Used to Implement AI: Genetic algorithms are a well-known technique used in AI . They are inspired by the process of natural selection and are used to find approximate solutions to optimization and search problems. Unlike search engines, procedural programming, or case control structures, genetic algorithms are specifically designed for evolving solutions and are commonly employed in AI implementations.


NEW QUESTION # 106
Which ONE of the following statements is true about dynamic testing for inappropriate bias?

Answer: C

Explanation:
Dynamic testing for inappropriate bias often requires obtaining additional attributes about the data being processed. This is because bias can emerge based on hidden or unexamined features that influence the system's behavior. By collecting and analyzing more attributes, testers can better understand potential biases in the data and how they affect the AI system's decisions.


NEW QUESTION # 107
Which ONE of the following requirements for an AI-based system is MOST likely to cause a challenge for testing?

Answer: B

Explanation:
Testing an AI-based system that accepts natural language input on a variety of topics and responds correctly is particularly challenging because natural language processing (NLP) involves handling vast variability in language, context, and possible interpretations. This makes it difficult to define precise expected outcomes and test all possible inputs and responses.


NEW QUESTION # 108
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