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Domain 7Objective 2

Testing Levels and Integration CT-AI Practice Questions (Page 1)

Part of the Domain 7: Testing AI-Based Systems Overview domain, which makes up ~5% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~1–2 in this domain), expect 1–1 from this objective — we provide 16 practice questions to prepare you well beyond it. (estimate)

16questions here
4free pages
4concepts

Questions 1–5

  1. 1application · medium

    A team has developed a natural-language processing (NLP) system with separate components for tokenization, named-entity recognition (NER), and sentiment analysis. They now want to test how the tokenizer's output affects the NER component's performance, using a small set of annotated texts. Which testing level best matches this activity?

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  2. 2foundation · easy

    Which of the following is typically a focus of component testing for an AI-based system?

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  3. 3expert · hard

    A team has developed an AI system with three components: data preprocessing, model inference, and post-processing. They have tested each component separately. Now they want to test the interactions between all three components together, but they are unsure whether to do this as component integration testing or system testing. Which statement best distinguishes the two?

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  4. 4foundation · easy

    Which of the following is a typical acceptance criterion for an AI-based system?

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  5. 5foundation · easy

    What is the main objective of component integration testing in an AI-based system?

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