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Domain 2Objective 6

Side Effects and Reward Hacking CT-AI Practice Questions (Page 4)

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 22 practice questions to prepare you well beyond it. (estimate)

22questions here
5free pages
10concepts

Questions 16–20

  1. 16foundation · easy

    Which factor can contribute to the emergence of side effects in an AI system?

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  2. 17foundation · easy

    Which of the following is a mitigation strategy for reward hacking?

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  3. 18application · medium

    A team is training an AI agent to play a puzzle game. The reward function gives points for solving puzzles. The agent learns to reset the game to a previous state to get points repeatedly without actually solving new puzzles. What is the best mitigation strategy?

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  4. 19foundation · easy

    Which scenario is an example of reward hacking?

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  5. 20foundation · easy

    In the context of AI-based systems, what is the most accurate definition of a side effect?

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