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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Introduction to AI in Software Testing | - AI systems overview - Role of AI in testing |
| Topic 2: AI System Quality Risks | - Ethical and legal considerations - Model drift and performance degradation |
| Topic 3: AI in Test Automation | - AI-based defect prediction and analytics - AI-supported test generation |
| Topic 4: Testing AI-Based Systems | - Testing ML models - Data quality and dataset validation - Bias, fairness, and explainability testing |
| Topic 5: Machine Learning Fundamentals for Testers | - Supervised and unsupervised learning concepts - Model training and evaluation basics |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. Which ONE of the following options does NOT describe a challenge for acquiring test data in ML systems?
SELECT ONE OPTION
A) Data for the use case is being generated at a fast pace.
B) Compliance needs require proper care to be taken of input personal data.
C) Test data being sourced from public sources.
D) Nature of data constantly changes with lime.
2. In a certain coffee producing region of Colombia, there have been some severe weather storms, resulting in massive losses in production. This caused a massive drop in stock price of coffee.
Which ONE of the following types of testing SHOULD be performed for a machine learning model for stock-price prediction to detect influence of such phenomenon as above on price of coffee stock.
SELECT ONE OPTION
A) Testing for security
B) Testing for accuracy
C) Testing for concept drift
D) Testing for bias
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) There was an algorithmic bias in the Al system.
B) The difficulty of defining criteria for improvement before the model can be accepted.
C) The unknown nature and insufficient specification of the operating environment might have caused the poor performance.
D) The fast pace of change did not allow sufficient time for testing.
4. Which ONE of the following options is the MOST APPROPRIATE stage of the ML workflow to set model and algorithm hyperparameters?
SELECT ONE OPTION
A) Deploying the model
B) Evaluating the model
C) Tuning the model
D) Data testing
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: C |





