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Domain 2Objective 1

Flexibility and Adaptability CT-AI Practice Questions (Page 1)

Part of the Domain 2: Quality Characteristics for AI-Based Systems domain, which makes up ~12% 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 26 practice questions to prepare you well beyond it. (estimate)

26questions here
6free pages
7concepts

Questions 1–5

  1. 1foundation · easy

    Which scenario requires an AI system to learn or evolve over time to maintain performance?

    Select an answer first
  2. 2expert · hard

    A personalized medicine AI system recommends drug dosages based on patient data. The system is updated with new clinical trial results. However, the system must also be reliable, as incorrect dosages can be harmful. The team is concerned that frequent updates may introduce errors. Which approach best balances adaptability and reliability?

    Select an answer first
  3. 3foundation · easy

    Which scenario best illustrates why adaptability is critical for an AI-based system?

    Select an answer first
  4. 4application · medium

    A team is developing an AI system for a ride-sharing app that predicts ride demand. The system must handle variations in demand due to weather, events, and time of day. The team also wants the system to learn from new data to improve predictions over time. Which statement correctly describes the system's requirements?

    Select an answer first
  5. 5application · medium

    A news recommendation system uses a collaborative filtering model. User preferences shift over time, and the system's recommendation quality has declined. The team plans to implement a feedback loop where user clicks and ratings are used to update the model. Which testing approach best validates that the system adapts appropriately?

    Select an answer first
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