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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| ML Data | 10% | - Data acquisition, preprocessing, labeling - Data quality issues and impact |
| Quality Characteristics for AI-Based Systems | 10% | - Flexibility, adaptability, autonomy - Ethics, bias, transparency and safety |
| Testing AI-Based Systems | 11% | - Specific challenges and risks - Test strategy and approach |
| Test Environment for AI Systems | 2% | - Data and infrastructure requirements |
| Using AI for Testing Activities | 10% | - Regression optimization, test analysis - Test case generation, defect prediction |
| Introduction to AI | 10% | - AI definitions and types
|
| Testing Quality Characteristics | 11% | - Explainability and reliability testing - Testing transparency, fairness, robustness |
| AI-Based System Testing Methods | 17% | - Adversarial testing, bias testing - Model validation and verification |
| Neural Networks and Testing | 4% | - Structure of neural networks - Coverage measures for deep learning |
| ML Functional Performance Metrics | 11% | - Confusion matrix, accuracy, precision, recall - ROC, AUC, MSE, silhouette coefficient |
| Machine Learning (ML) Overview | 11% | - Supervised, unsupervised, reinforcement learning - ML workflow, overfitting, underfitting |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. 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 III
B) I and III
C) Only II
D) I and II
2. 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) Feature selection
B) Data augmentation
C) Data sampling
D) Data labeling
3. Which ONE of the following options does NOT describe an Al technology related characteristic which differentiates Al test environments from other test environments?
SELECT ONE OPTION
A) Challenges resulting from low accuracy of the models.
B) Challenges in the creation of scenarios of human handover for autonomous systems.
C) The challenge of mimicking undefined scenarios generated due to self-learning
D) The challenge of providing explainability to the decisions made by the system.
4. Which ONE of the following types of coverage SHOULD be used if test cases need to cause each neuron to achieve both positive and negative activation values?
SELECT ONE OPTION
A) Value coverage
B) Neuron coverage
C) Sign change coverage
D) Threshold coverage
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: C |


