- Exam Code: CT-AI_v1.0_World
- Exam Name: ISTQB Certified Tester AI Testing (v1.0)
- Updated: Jul 25, 2026
- Q & A: 40 Questions and Answers
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| Section | Objectives |
|---|---|
| AI in Test Automation | - AI-supported test generation - AI-based defect prediction and analytics |
| Machine Learning Fundamentals for Testers | - Supervised and unsupervised learning concepts - Model training and evaluation basics |
| AI System Quality Risks | - Ethical and legal considerations - Model drift and performance degradation |
| Introduction to AI in Software Testing | - Role of AI in testing - AI systems overview |
| Testing AI-Based Systems | - Testing ML models - Bias, fairness, and explainability testing - Data quality and dataset validation |
1. Which ONE of the following hardware is MOST suitable for implementing Al when using ML?
SELECT ONE OPTION
A) 64-bit CPUs.
B) Hardware supporting fast matrix multiplication.
C) High powered CPUs.
D) Hardware supporting high precision floating point operations.
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 labeling
B) Feature selection
C) Data sampling
D) Data augmentation
3. An image classification system is being trained for classifying faces of humans. The distribution of the data is
70% ethnicity A and 30% for ethnicities B, C and D. Based ONLY on the above information, which of the following options BEST describes the situation of this image classification system?
SELECT ONE OPTION
A) This is an example of expert system bias.
B) This is an example of hyperparameter bias.
C) This is an example of algorithmic bias.
D) This is an example of sample bias.
4. Pairwise testing can be used in the context of self-driving cars for controlling an explosion in the number of combinations of parameters.
Which ONE of the following options is LEAST likely to be a reason for this incredible growth of parameters?
SELECT ONE OPTION
A) Different Road Types
B) Different features like ADAS, Lane Change Assistance etc.
C) ML model metrics to evaluate the functional performance
D) Different weather conditions
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: C |
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