Download ISQI : CT-AI_v1.0_World Questions & Answers as PDF & Test Software
Last Updated: Oct 03, 2026
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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Introduction to AI | - AI Fundamentals
|
| Topic 2: Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| Topic 3: Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| Topic 4: ML Neural Networks and Testing | - Neural Networks
|
| Topic 5: Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Topic 6: Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Topic 7: ML Data | - Data Quality
|
| Topic 8: Using AI for Testing | - AI-Assisted Testing
|
| Topic 9: Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| Topic 10: Machine Learning | - ML Fundamentals
|
| Topic 11: ML Functional Performance Metrics | - Performance Evaluation
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
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 vision-based detection of the GUI layout changes before and after test object changes.
- C. Using a computer vision to compare the GUI before and after the test object changes.
- D. Using a ML-based classifier to flag if changes in GUI are to be flagged for humans.
Correct Answer: A 🗳️
Explanation: Only visible for TestSimulate members. You can sign-up / login (it's free).
Which ONE of the following approaches to labelling requires the least time and effort?
SELECT ONE OPTION
- A. Internal
- B. Pre-labeled dataset
- C. Al-Assisted
- D. Outsourced
Correct Answer: B 🗳️
Explanation: Only visible for TestSimulate members. You can sign-up / login (it's free).
Which ONE of the following options does NOT describe an Al technology related characteristic which differentiates Al test environments from other test environments?
SELECT ONE OPTION
- A. The challenge of mimicking undefined scenarios generated due to self-learning
- B. Challenges resulting from low accuracy of the models.
- C. Challenges in the creation of scenarios of human handover for autonomous systems.
- D. The challenge of providing explainability to the decisions made by the system.
Correct Answer: C 🗳️
Explanation: Only visible for TestSimulate members. You can sign-up / login (it's free).
Data used for an object detection ML system was found to have been labelled incorrectly in many cases.
Which ONE of the following options is most likely the reason for this problem?
SELECT ONE OPTION
- A. Security issues
- B. Privacy issues
- C. Accuracy issues
- D. Bias issues
Correct Answer: C 🗳️
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