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Domain 11Objective 4

Using AI for the Optimization of Regression Test Suites CT-AI Practice Questions (Page 2)

Part of the Domain 11: Using AI for Testing domain, which makes up ~11% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~3–4 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
5concepts

Questions 6–10

  1. 6expert · hard

    A team has optimized their regression suite using AI-based test selection. They now run only 30% of the original tests. They want to evaluate whether the optimized suite still provides adequate fault detection. Which approach would best assess this?

    Select an answer first
  2. 7foundation · easy

    What is the primary purpose of using AI techniques to optimize regression test suites?

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  3. 8application · medium

    A team has a regression suite with many tests that exercise the same code paths. They want to reduce the suite by removing redundant tests while keeping the same code coverage. Which AI technique is most appropriate?

    Select an answer first
  4. 9application · medium

    A team maintains a large regression suite for a banking application. The suite takes over 8 hours to run, and they need to reduce execution time while keeping the highest-risk areas well covered. They decide to use an AI technique that groups test cases based on the code modules they exercise and then selects a representative from each group. Which AI technique are they applying?

    Select an answer first
  5. 10expert · hard · select all that apply

    A team has optimized their regression suite using AI-based test selection. They want to evaluate the effectiveness of the optimization. Which of the following metrics should they use? Select all that apply.

    Select an answer first
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