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ISQI CT-AI_v1.0_World : ISTQB Certified Tester AI Testing (v1.0)

CT-AI_v1.0_World

Exam Code: CT-AI_v1.0_World

Exam Name: ISTQB Certified Tester AI Testing (v1.0)

Updated: Sep 12, 2026

Q & A: 40 Questions and Answers

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ISQI CT-AI_v1.0_World Exam Syllabus Topics:

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

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

        Question #1
        Which ONE of the following options BEST DESCRIBES clustering?
        SELECT ONE OPTION

        A. Clustering is classification of a continuous quantity.
        B. Clustering is supervised learning.
        C. Clustering requires you to know the classes.
        D. Clustering is done without prior knowledge of output classes.


        Question #2
        Which ONE of the following options represents a technology MOST TYPICALLY used to implement Al?
        SELECT ONE OPTION

        A. Procedural programming
        B. Case control structures
        C. Search engines
        D. Genetic algorithms


        Question #3
        Which ONE of the following options does NOT describe a challenge for acquiring test data in ML systems?
        SELECT ONE OPTION

        A. Compliance needs require proper care to be taken of input personal data.
        B. Nature of data constantly changes with lime.
        C. Test data being sourced from public sources.
        D. Data for the use case is being generated at a fast pace.


        Question #4
        Which ONE of the following activities is MOST relevant when addressing the scenario where you have more than the required amount of data available for the training?
        SELECT ONE OPTION

        A. Data labeling
        B. Data sampling
        C. Feature selection
        D. Data augmentation


        Solutions:

        Question #1
        Correct Answer: D
        Question #2
        Correct Answer: D
        Question #3
        Correct Answer: D
        Question #4
        Correct Answer: B

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