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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Machine Learning Fundamentals for Testers | - Model training and evaluation basics - Supervised and unsupervised learning concepts |
| Testing AI-Based Systems | - Testing ML models - Bias, fairness, and explainability testing - Data quality and dataset validation |
| AI System Quality Risks | - Model drift and performance degradation - Ethical and legal considerations |
| Introduction to AI in Software Testing | - AI systems overview - Role of AI in testing |
| AI in Test Automation | - AI-supported test generation - AI-based defect prediction and analytics |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. Which ONE of the following hardware is MOST suitable for implementing Al when using ML?
SELECT ONE OPTION
A) Hardware supporting fast matrix multiplication.
B) High powered CPUs.
C) 64-bit CPUs.
D) Hardware supporting high precision floating point operations.
2. Which ONE of the following statements is a CORRECT adversarial example in the context of machine learning systems that are working on image classifiers.
SELECT ONE OPTION
A) These attack examples cause a model to predict the correct class with slightly less accuracy even though they look like the original image.
B) Black box attacks based on adversarial examples create an exact duplicate model of the original.
C) These examples are model specific and are not likely to cause another model trained on same task to fail.
D) These attacks can't be prevented by retraining the model with these examples augmented tothe training data.
3. "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 difficulty of defining criteria for improvement before the model can be accepted.
B) The unknown nature and insufficient specification of the operating environment might have caused the poor performance.
C) The fast pace of change did not allow sufficient time for testing.
D) There was an algorithmic bias in the Al system.
4. Which ONE of the following options represents a technology MOST TYPICALLY used to implement Al?
SELECT ONE OPTION
A) Procedural programming
B) Case control structures
C) Genetic algorithms
D) Search engines
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: C |



