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Domain 4Objective 6

Approaches to Data Labelling CT-AI Practice Questions (Page 3)

Part of the Domain 4: ML - Data 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 37 practice questions to prepare you well beyond it. (estimate)

37questions here
8free pages
10concepts

Questions 11–15

  1. 11application · medium

    A healthcare company is labelling patient records to train a model that predicts disease risk. They plan to use a crowdsourcing platform to label the data. What is the most critical ethical and privacy consideration they must address?

    Select an answer first
  2. 12foundation · medium

    What is the main benefit of semi-automated labelling?

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  3. 13foundation · medium

    In image processing, which labelling type assigns a class label to every pixel in an image?

    Select an answer first
  4. 14foundation · medium

    For video data, which labelling task involves identifying and tracking objects across frames?

    Select an answer first
  5. 15foundation · medium

    How can labelling introduce bias into an ML model?

    Select an answer first
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