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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Testing Quality Characteristics | 11% | - Explainability and reliability testing - Testing transparency, fairness, robustness |
| Topic 2: ML Functional Performance Metrics | 11% | - Confusion matrix, accuracy, precision, recall - ROC, AUC, MSE, silhouette coefficient |
| Topic 3: Using AI for Testing Activities | 10% | - Regression optimization, test analysis - Test case generation, defect prediction |
| Topic 4: Machine Learning (ML) Overview | 11% | - ML workflow, overfitting, underfitting - Supervised, unsupervised, reinforcement learning |
| Topic 5: Testing AI-Based Systems | 11% | - Specific challenges and risks - Test strategy and approach |
| Topic 6: AI-Based System Testing Methods | 17% | - Model validation and verification - Adversarial testing, bias testing |
| Topic 7: Introduction to AI | 10% | - AI definitions and types
|
| Topic 8: Test Environment for AI Systems | 2% | - Data and infrastructure requirements |
| Topic 9: Neural Networks and Testing | 4% | - Structure of neural networks - Coverage measures for deep learning |
| Topic 10: ML Data | 10% | - Data acquisition, preprocessing, labeling - Data quality issues and impact |
| Topic 11: Quality Characteristics for AI-Based Systems | 10% | - Flexibility, adaptability, autonomy - Ethics, bias, transparency and safety |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. 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) Threshold coverage
C) Neuron coverage
D) Sign change coverage
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) Data augmentation
B) Feature selection
C) Data sampling
D) Data labeling
3. Which ONE of the following statements correctly describes the importance of flexibility for Al systems?
SELECT ONE OPTION
A) Flexible Al systems allow for easier modification of the system as a whole.
B) Al systems require changing of operational environments; therefore, flexibility is required.
C) Al systems are inherently flexible.
D) Self-learning systems are expected to deal with new situations without explicitly having to program for it.
4. Which ONE of the following options BEST DESCRIBES clustering?
SELECT ONE OPTION
A) Clustering is done without prior knowledge of output classes.
B) Clustering requires you to know the classes.
C) Clustering is classification of a continuous quantity.
D) Clustering is supervised learning.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: A |
Harvey 
Primo 
Otis 
Wallis 
Michelle 
Marguerite 
Gilbert 
Mortimer 
Ben 
Les 
Curitis 
Henry 
Ford 
Cheryl 
Gary 
Maxine 
Geraldine 
Osborn 
Hermosa 
Caroline 
Martha 
