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Last Updated: Jul 29, 2026

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ISQI CT-AI_v1.0_World Exam Syllabus Topics:

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

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

        1. Which ONE of the following is the BEST option to optimize the regression test selection and prevent the regression suite from growing large?
        SELECT ONE OPTION

        A) Using of a random subset of tests.
        B) Identifying suitable tests by looking at the complexity of the test cases.
        C) Automating test scripts using Al-based test automation tools.
        D) Using an Al-based tool to optimize the regression test suite by analyzing past test results


        2. In a conference on artificial intelligence (Al), a speaker made the statement, "The current implementation of Al using models which do NOT change by themselves is NOT true Al*. Based on your understanding of Al, is this above statement CORRECT or INCORRECT and why?
        SELECT ONE OPTION

        A) This statement is correct. In general, what is considered Al today may change over time.
        B) This statement is incorrect. What is considered Al today will continue to be Al even as technology evolves and changes.
        C) This statement is incorrect. Current Al is true Al and there is no reason to believe that this fact will change over time.
        D) This statement is correct. In general, today the term Al is utilized incorrectly.


        3. Which ONE of the following models BEST describes a way to model defect prediction by looking at the history of bugs in modules by using code quality metrics of modules of historical versions as input?
        SELECT ONE OPTION

        A) Search of similar code based on natural language processing.
        B) Clustering of similar code modules to predict based on similarity.
        C) Identifying the relationship between developers and the modules developed by them.
        D) Using a classification model to predict the presence of a defect by using code quality metrics as the input data.


        4. Written requirements are given in text documents, which ONE of the following options is the BEST way to generate test cases from these requirements?
        SELECT ONE OPTION

        A) Natural language processing on textual requirements
        B) Analyzing source code for generating test cases
        C) Machine learning on logs of execution
        D) GUI analysis by computer vision


        Solutions:

        Question # 1
        Answer: D
        Question # 2
        Answer: A
        Question # 3
        Answer: D
        Question # 4
        Answer: A

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