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Last Updated: Sep 10, 2026
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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Machine Learning (ML) Overview | 11% | - ML workflow, overfitting, underfitting - Supervised, unsupervised, reinforcement learning |
| Quality Characteristics for AI-Based Systems | 10% | - Ethics, bias, transparency and safety - Flexibility, adaptability, autonomy |
| Using AI for Testing Activities | 10% | - Test case generation, defect prediction - Regression optimization, test analysis |
| AI-Based System Testing Methods | 17% | - Adversarial testing, bias testing - Model validation and verification |
| Testing AI-Based Systems | 11% | - Test strategy and approach - Specific challenges and risks |
| ML Data | 10% | - Data quality issues and impact - Data acquisition, preprocessing, labeling |
| Neural Networks and Testing | 4% | - Structure of neural networks - Coverage measures for deep learning |
| Test Environment for AI Systems | 2% | - Data and infrastructure requirements |
| ML Functional Performance Metrics | 11% | - Confusion matrix, accuracy, precision, recall - ROC, AUC, MSE, silhouette coefficient |
| Introduction to AI | 10% | - AI technologies and frameworks
|
| Testing Quality Characteristics | 11% | - Explainability and reliability testing - Testing transparency, fairness, robustness |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
A system was developed for screening the X-rays of patients for potential malignancy detection (skin cancer).
A workflow system has been developed to screen multiple cancers by using several individually trained ML models chained together in the workflow.
Testing the pipeline could involve multiple kind of tests (I - III):
I.Pairwise testing of combinations
II.Testing each individual model for accuracy
III.A/B testing of different sequences of models
Which ONE of the following options contains the kinds of tests that would be MOST APPROPRIATE to include in the strategy for optimal detection?
SELECT ONE OPTION
- A. Only II
- B. Only III
- C. I and II
- D. I and III
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A ML engineer is trying to determine the correctness of the new open-source implementation *X", of a supervised regression algorithm implementation. R-Square is one of the functional performance metrics used to determine the quality of the model.
Which ONE of the following would be an APPROPRIATE strategy to achieve this goal?
SELECT ONE OPTION
- A. Compare the R-Square score of the model obtained using two different implementations that utilize two different programming languages while using the same algorithm and the same training and testing data.
- B. Add 10% of the rows randomly and create another model and compare the R-Square scores of both the model.
- C. Train various models by changing the order of input features and verify that the R-Square score of these models vary significantly.
- D. Drop 10% of the rows randomly and create another model and compare the R-Square scores of both the models.
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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. 0.84.1,0.9
- B. 1,0.87,0.84
- C. 1,0.9, 0.8
- D. 0.87.0.9. 0.84
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Max. Score: 2
Al-enabled medical devices are used nowadays for automating certain parts of the medical diagnostic processes. Since these are life-critical process the relevant authorities are considenng bringing about suitable certifications for these Al enabled medical devices. This certification may involve several facets of Al testing (I - V).
I.Autonomy
II.Maintainability
III.Safety
IV.Transparency
V.Side Effects
Which ONE of the following options contains the three MOST required aspects to be satisfied for the above scenario of certification of Al enabled medical devices?
SELECT ONE OPTION
- A. Aspects II, III and IV
- B. Aspects I, II, and III
- C. Aspects I, IV, and V
- D. Aspects III, IV, and V
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