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Updated: Jul 28, 2026
No. of Questions: 40 Questions & Answers with Testing Engine
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ISQI CT-AI_v1.0_World Exam Overview:
| Certification Vendor: | iSQI / ISTQB |
| Exam Name: | ISTQB Certified Tester AI Testing (v1.0) |
| Exam Number: | CT-AI_v1.0_World |
| Passing Score: | 65% (31/47 points) |
| Certificate Validity Period: | Lifetime |
| Available Languages: | English, French, Portuguese, Other regional languages depending on availability |
| Related Certifications: | ISTQB Certified Tester Foundation Level (CTFL) |
| Exam Duration: | 60-75 |
| Real Exam Qty: | 40 |
| Exam Price: | $250 USD |
| Exam Format: | Multiple Choice |
| Sample Questions: | ISQI CT-AI_v1.0_World Sample Questions |
| Exam Way: | Computer-based exam available through Pearson VUE test centers and iSQI FLEX remote proctoring. |
| Pre Condition: | Candidates must hold a valid ISTQB Certified Tester Foundation Level (CTFL) certification. |
| Official Syllabus URL: | https://isqi.org/ISTQB-Certified-Tester-AI-Testing-v1.0-CT-AI/CT-AI.157 |
ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| ML Functional Performance Metrics | - Performance Evaluation
|
| ML Neural Networks and Testing | - Neural Networks
|
| ML Data | - Data Quality
|
| Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Using AI for Testing | - AI-Assisted Testing
|
| Introduction to AI | - AI Fundamentals
|
| Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| Machine Learning | - ML Fundamentals
|
| Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| Test Environments for AI-Based Systems | - AI Test Infrastructure
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. Which ONE of the following options describes the LEAST LIKELY usage of Al for detection of GUI changes due to changes in test objects?
SELECT ONE OPTION
A) Using a pixel comparison of the GUI before and after the change to check the differences.
B) Using a computer vision to compare the GUI before and after the test object changes.
C) Using a ML-based classifier to flag if changes in GUI are to be flagged for humans.
D) Using a vision-based detection of the GUI layout changes before and after test object changes.
2. Which ONE of the following statements correctly describes the importance of flexibility for Al systems?
SELECT ONE OPTION
A) Self-learning systems are expected to deal with new situations without explicitly having to program for it.
B) Flexible Al systems allow for easier modification of the system as a whole.
C) Al systems are inherently flexible.
D) Al systems require changing of operational environments; therefore, flexibility is required.
3. Which of the following is THE LEAST appropriate tests to be performed for testing a feature related to autonomy?
SELECT ONE OPTION
A) Test for human handover when it should actually not be relinquishing control.
B) Test for human handover requiring mandatory relinquishing control.
C) Test for human handover after a given time interval.
D) Test for human handover to give rest to the system.
4. Which ONE of the following tests is MOST likely to describe a useful test to help detect different kinds of biases in ML pipeline?
SELECT ONE OPTION
A) Testing the distribution shift in the training data for inappropriate bias.
B) Check the input test data for potential sample bias.
C) Test the model during model evaluation for data bias.
D) Testing the data pipeline for any sources for algorithmic bias.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: C |
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