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ISQI CT-AI_v1.0_World Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: ML Functional Performance Metrics11%- ROC, AUC, MSE, silhouette coefficient
- Confusion matrix, accuracy, precision, recall
Topic 2: Using AI for Testing Activities10%- Regression optimization, test analysis
- Test case generation, defect prediction
Topic 3: ML Data10%- Data quality issues and impact
- Data acquisition, preprocessing, labeling
Topic 4: Testing AI-Based Systems11%- Test strategy and approach
- Specific challenges and risks
Topic 5: Quality Characteristics for AI-Based Systems10%- Ethics, bias, transparency and safety
- Flexibility, adaptability, autonomy
Topic 6: Testing Quality Characteristics11%- Testing transparency, fairness, robustness
- Explainability and reliability testing
Topic 7: Test Environment for AI Systems2%- Data and infrastructure requirements
Topic 8: 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
        Topic 9: AI-Based System Testing Methods17%- Adversarial testing, bias testing
        - Model validation and verification
        Topic 10: Neural Networks and Testing4%- Coverage measures for deep learning
        - Structure of neural networks
        Topic 11: 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 approaches to labelling requires the least time and effort?
        SELECT ONE OPTION

        • A. Internal
        • B. Al-Assisted
        • C. Outsourced
        • D. Pre-labeled dataset
        Reveal Solution  Discussion  0

        Correct Answer: D  🗳️

        Explanation: Only visible for Test4Sure members. You can sign-up / login (it's free).

        Question #2

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

        • A. Search engines
        • B. Case control structures
        • C. Genetic algorithms
        • D. Procedural programming
        Reveal Solution  Discussion  0

        Correct Answer: C  🗳️

        Explanation: Only visible for Test4Sure members. You can sign-up / login (it's free).

        Question #3

        A software component uses machine learning to recognize the digits from a scan of handwritten numbers. In the scenario above, which type of Machine Learning (ML) is this an example of?
        SELECT ONE OPTION

        • A. Classification
        • B. Reinforcement learning
        • C. Clustering
        • D. Regression
        Reveal Solution  Discussion  0

        Correct Answer: A  🗳️

        Explanation: Only visible for Test4Sure members. You can sign-up / login (it's free).

        Question #4

        "AllerEgo" is a product that uses sell-learning to predict the behavior of a pilot under combat situation for a variety of terrains and enemy aircraft formations. Post training the model was exposed to the real- world data and the model was found to bebehaving poorly. A lot of data quality tests had been performed on the data to bring it into a shape fit for training and testing.
        Which ONE of the following options is least likely to describes the possible reason for the fall in the performance, especially when considering the self-learning nature of the Al system?
        SELECT ONE OPTION

        • A. The fast pace of change did not allow sufficient time for testing.
        • B. There was an algorithmic bias in the Al system.
        • C. The difficulty of defining criteria for improvement before the model can be accepted.
        • D. The unknown nature and insufficient specification of the operating environment might have caused the poor performance.
        Reveal Solution  Discussion  0

        Correct Answer: C  🗳️

        Explanation: Only visible for Test4Sure members. You can sign-up / login (it's free).

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