• Exam Code: CT-AI_v1.0_World
  • Exam Name: ISTQB Certified Tester AI Testing (v1.0)
  • Certification Provider: ISQI
  • Corresponding Certification:AI Testing
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CT-AI_v1.0_World
  • Exam Code: CT-AI_v1.0_World
  • Exam Name: ISTQB Certified Tester AI Testing (v1.0)
  • Updated: Oct 07, 2026
  • No. of Questions: 40 Questions and Answers
  • Download Limit: Unlimited

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ISQI CT-AI_v1.0_World Exam Syllabus Topics:

SectionWeightObjectives
Machine Learning (ML) Overview11%- ML workflow, overfitting, underfitting
- Supervised, unsupervised, reinforcement learning
ML Data10%- Data acquisition, preprocessing, labeling
- Data quality issues and impact
Using AI for Testing Activities10%- Test case generation, defect prediction
- Regression optimization, test analysis
Neural Networks and Testing4%- Structure of neural networks
- Coverage measures for deep learning
Testing Quality Characteristics11%- Explainability and reliability testing
- Testing transparency, fairness, robustness
AI-Based System Testing Methods17%- Model validation and verification
- Adversarial testing, bias testing
Introduction to AI10%- AI technologies and frameworks
  • 1. AI hardware and AIaaS
    - AI definitions and types
    • 1. Narrow, General and Super AI
      • 2. AI vs conventional systems
        Testing AI-Based Systems11%- Specific challenges and risks
        - Test strategy and approach
        Test Environment for AI Systems2%- Data and infrastructure requirements
        ML Functional Performance Metrics11%- Confusion matrix, accuracy, precision, recall
        - ROC, AUC, MSE, silhouette coefficient
        Quality Characteristics for AI-Based Systems10%- Ethics, bias, transparency and safety
        - Flexibility, adaptability, autonomy

        ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:

        Which ONE of the following options describes the LEAST LIKELY usage of Al for detection of GUI changes due to changes in test objects?
        SELECT ONE OPTION

        • A. Using a ML-based classifier to flag if changes in GUI are to be flagged for humans.
        • B. Using a vision-based detection of the GUI layout changes before and after test object changes.
        • C. Using a pixel comparison of the GUI before and after the change to check the differences.
        • D. Using a computer vision to compare the GUI before and after the test object changes.
        Reveal Solution  Discussion  0

        Correct Answer: C  🗳️

        Explanation: Only visible for TrainingDump members. You can sign-up / login (it's free).

        Which ONE of the following characteristics is the least likely to cause safety related issues for an Al system?
        SELECT ONE OPTION

        • A. Self-learning
        • B. Non-determinism
        • C. High complexity
        • D. Robustness
        Reveal Solution  Discussion  0

        Correct Answer: D  🗳️

        Explanation: Only visible for TrainingDump members. You can sign-up / login (it's free).

        Data used for an object detection ML system was found to have been labelled incorrectly in many cases.
        Which ONE of the following options is most likely the reason for this problem?
        SELECT ONE OPTION

        • A. Bias issues
        • B. Accuracy issues
        • C. Security issues
        • D. Privacy issues
        Reveal Solution  Discussion  0

        Correct Answer: B  🗳️

        Upon testing a model used to detect rotten tomatoes, the following data was observed by the test engineer, based on certain number of tomato images.

        For this confusion matrix which combinations of values of accuracy, recall, and specificity respectively is CORRECT?
        SELECT ONE OPTION

        • A. 0.87.0.9. 0.84
        • B. 1,0.9, 0.8
        • C. 1,0.87,0.84
        • D. 0.84.1,0.9
        Reveal Solution  Discussion  0

        Correct Answer: A  🗳️

        Explanation: Only visible for TrainingDump members. You can sign-up / login (it's free).

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