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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Testing Quality Characteristics | 11% | - Testing transparency, fairness, robustness - Explainability and reliability testing |
| Topic 2: Quality Characteristics for AI-Based Systems | 10% | - Flexibility, adaptability, autonomy - Ethics, bias, transparency and safety |
| Topic 3: Test Environment for AI Systems | 2% | - Data and infrastructure requirements |
| Topic 4: ML Functional Performance Metrics | 11% | - ROC, AUC, MSE, silhouette coefficient - Confusion matrix, accuracy, precision, recall |
| Topic 5: Neural Networks and Testing | 4% | - Coverage measures for deep learning - Structure of neural networks |
| Topic 6: Introduction to AI | 10% | - AI technologies and frameworks
|
| Topic 7: Using AI for Testing Activities | 10% | - Test case generation, defect prediction - Regression optimization, test analysis |
| Topic 8: AI-Based System Testing Methods | 17% | - Adversarial testing, bias testing - Model validation and verification |
| Topic 9: ML Data | 10% | - Data quality issues and impact - Data acquisition, preprocessing, labeling |
| Topic 10: Testing AI-Based Systems | 11% | - Test strategy and approach - Specific challenges and risks |
| Topic 11: Machine Learning (ML) Overview | 11% | - Supervised, unsupervised, reinforcement learning - ML workflow, overfitting, underfitting |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Question 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. Automating test scripts using Al-based test automation tools.
C. Identifying suitable tests by looking at the complexity of the test cases.
D. Using an Al-based tool to optimize the regression test suite by analyzing past test results
Question 2
Which ONE of the following combinations of Training, Validation, Testing data is used during the process of learning/creating the model?
SELECT ONE OPTION
A. Validation data - test data
B. Training data - validation data - test data
C. Training data - validation data
D. Training data * test data
Question 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 in the creation of scenarios of human handover for autonomous systems.
B. The challenge of providing explainability to the decisions made by the system.
C. Challenges resulting from low accuracy of the models.
D. The challenge of mimicking undefined scenarios generated due to self-learning
Question 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. Analyzing source code for generating test cases
B. Natural language processing on textual requirements
C. Machine learning on logs of execution
D. GUI analysis by computer vision
Solutions:
| Question 1 Answer: D | Question 2 Answer: B | Question 3 Answer: A | Question 4 Answer: B |
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