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Updated: Aug 12, 2026
No. of Questions: 40 Questions & Answers with Testing Engine
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| Certification Vendor: | iSQI / ISTQB |
| Exam Name: | ISTQB Certified Tester AI Testing (v1.0) |
| Exam Number: | CT-AI_v1.0 |
| Exam Format: | Multiple-choice questions |
| Certificate Validity Period: | Lifetime (no expiry) |
| Exam Duration: | 60 minutes |
| Related Certifications: | ISTQB Certified Tester Foundation Level (CTFL) |
| Available Languages: | English |
| Sample Questions: | ISQI CT-AI_v1.0_World Sample Questions |
| Exam Way: | Online or onsite proctored exam via accredited providers (e.g., iSQI) |
| Pre Condition: | ISTQB Foundation Level certification recommended |
| Section | Objectives |
|---|---|
| Testing AI-Based Systems | - Bias, fairness, and explainability testing - Testing ML models - Data quality and dataset validation |
| AI in Test Automation | - AI-based defect prediction and analytics - AI-supported test generation |
| Machine Learning Fundamentals for Testers | - Model training and evaluation basics - Supervised and unsupervised learning concepts |
| Introduction to AI in Software Testing | - Role of AI in testing - AI systems overview |
| AI System Quality Risks | - Ethical and legal considerations - Model drift and performance degradation |
1. 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
2. Arihant Meditation is a startup using Al to aid people in deeper and better meditation based on analysis of various factors such as time and duration of the meditation, pulse and blood pressure, EEG patters etc. among others. Their model accuracy and other functional performance parameters have not yet reached their desired level.
Which ONE of the following factors is NOT a factor affecting the ML functional performance?
SELECT ONE OPTION
A) The quality of the labeling
B) The data pipeline
C) Biased data
D) The number of classes
3. Which ONE of the following tests is LEAST likely to be performed during the ML model testing phase?
SELECT ONE OPTION
A) Testing the API of the service powered by the ML model.
B) Testing the accuracy of the classification model.
C) Testing the speed of the training of the model.
D) Testing the speed of the prediction by the model.
4. 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 algorithmic bias.
B) This is an example of hyperparameter bias.
C) This is an example of sample bias.
D) This is an example of expert system bias.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: C |
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