Try and practice the latest ISQI : CT-AI_v1.0_World real questions & answers
Updated: Sep 10, 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 |
| Available Languages: | Brazilian Portuguese, Spanish, German, French, Polish, English |
| Exam Price: | US$87.29 - US$213.00 / €240.00 (varies by region) |
| Certificate Validity Period: | Lifetime |
| Exam Format: | Multiple Choice Questions (single/multiple answer) |
| Real Exam Qty: | 40 |
| Exam Duration: | 60 (75 for non-native language) |
| Passing Score: | 65% (31 out of 47 points) |
| Related Certifications: | ISTQB Certified Tester Foundation Level (CTFL) |
| Recommended Training: | ISTQB Accredited Training Providers iSQI Training Partners |
| Exam Registration: | Pearson VUE iSQI Official Registration |
| Sample Questions: | ISQI CT-AI_v1.0_World Sample Questions |
| Exam Way: | In-person test center or online remote proctored (FLEX exam) |
| Pre Condition: | ISTQB Certified Tester Foundation Level (CTFL) certification required |
| Official Syllabus URL: | https://istqb.org/certifications/certified-tester-ai-testing-ct-ai-retiring/ |
ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Quality Characteristics for AI-Based Systems | 10% | - Ethics, bias, transparency and safety - Flexibility, adaptability, autonomy |
| Topic 2: Introduction to AI | 10% | - AI definitions and types
|
| Topic 3: Testing AI-Based Systems | 11% | - Specific challenges and risks - Test strategy and approach |
| Topic 4: Testing Quality Characteristics | 11% | - Testing transparency, fairness, robustness - Explainability and reliability testing |
| Topic 5: Test Environment for AI Systems | 2% | - Data and infrastructure requirements |
| Topic 6: Neural Networks and Testing | 4% | - Structure of neural networks - Coverage measures for deep learning |
| Topic 7: Machine Learning (ML) Overview | 11% | - ML workflow, overfitting, underfitting - Supervised, unsupervised, reinforcement learning |
| Topic 8: AI-Based System Testing Methods | 17% | - Adversarial testing, bias testing - Model validation and verification |
| Topic 9: ML Functional Performance Metrics | 11% | - ROC, AUC, MSE, silhouette coefficient - Confusion matrix, accuracy, precision, recall |
| Topic 10: Using AI for Testing Activities | 10% | - Test case generation, defect prediction - Regression optimization, test analysis |
| Topic 11: ML Data | 10% | - Data quality issues and impact - Data acquisition, preprocessing, labeling |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
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 data pipeline
- B. Biased data
- C. The quality of the labeling
- D. The number of classes
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Which ONE of the following statements correctly describes the importance of flexibility for Al systems?
SELECT ONE OPTION
- A. Flexible Al systems allow for easier modification of the system as a whole.
- B. Al systems require changing of operational environments; therefore, flexibility is required.
- C. Al systems are inherently flexible.
- D. Self-learning systems are expected to deal with new situations without explicitly having to program for it.
Explanation: Only visible for Actual4Cert members. You can sign-up / login (it's free).
Which ONE of the following hardware is MOST suitable for implementing Al when using ML?
SELECT ONE OPTION
- A. Hardware supporting high precision floating point operations.
- B. Hardware supporting fast matrix multiplication.
- C. High powered CPUs.
- D. 64-bit CPUs.
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Which ONE of the following types of coverage SHOULD be used if test cases need to cause each neuron to achieve both positive and negative activation values?
SELECT ONE OPTION
- A. Sign change coverage
- B. Neuron coverage
- C. Threshold coverage
- D. Value coverage
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