ISQI ISTQB Certified Tester AI Testing (v1.0) : CT-AI_v1.0_World

Exam Code: CT-AI_v1.0_World

Exam Name: ISTQB Certified Tester AI Testing (v1.0)

Updated: Sep 11, 2026

Q & A: 40 Questions and Answers

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ISQI CT-AI_v1.0_World Exam Syllabus Topics:

Section	Objectives
Topic 1: Using AI for Testing	- AI-Assisted Testing 1. Defect Prediction 2. Test Automation Support 3. Test Data Generation
Topic 2: Test Environments for AI-Based Systems	- AI Test Infrastructure 1. Data Management 2. Monitoring and Maintenance 3. Environment Configuration
Topic 3: Introduction to AI	- AI Fundamentals 1. AI-Based vs Conventional Systems 2. AI Definitions and Concepts 3. AI Technologies 4. AI as a Service 5. AI Development Frameworks
Topic 4: ML Functional Performance Metrics	- Performance Evaluation 1. Precision 2. F1 Score 3. Accuracy 4. Recall
Topic 5: Machine Learning	- ML Fundamentals 1. Training and Validation 2. Machine Learning Overview 3. Supervised and Unsupervised Learning
Topic 6: Quality Characteristics for AI-Based Systems	- AI-Specific Quality Attributes 1. Evolution 2. Ethics 3. Autonomy 4. Flexibility and Adaptability 5. Bias 6. Transparency and Explainability
Topic 7: ML Neural Networks and Testing	- Neural Networks 1. Testing Neural Networks 2. Neural Network Basics
Topic 8: ML Data	- Data Quality 1. Data Preparation 2. Data Bias 3. Data Collection
Topic 9: Methods and Techniques for Testing AI-Based Systems	- Test Design Techniques 1. Scenario-Based Testing 2. Model Testing 3. Data-Oriented Testing
Topic 10: Testing AI-Based Systems Overview	- AI Testing Fundamentals 1. Test Strategy 2. AI Test Lifecycle 3. Risk-Based Testing
Topic 11: Testing AI-Specific Quality Characteristics	- Quality Validation 1. Robustness Testing 2. Fairness Testing 3. Explainability Assessment

ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:

Question #1

A software component uses machine learning to recognize the digits from a scan of handwritten numbers. In the scenario above, which type of Machine Learning (ML) is this an example of?
SELECT ONE OPTION

A. Reinforcement learning
B. Regression
C. Clustering
D. Classification

Reveal Solution Discussion 0

Correct Answer: D 🗳️

Explanation: Only visible for PassTorrent members. You can sign-up / login (it's free).

Question #2

Upon testing a model used to detect rotten tomatoes, the following data was observed by the test engineer, based on certain number of tomato images.

For this confusion matrix which combinations of values of accuracy, recall, and specificity respectively is CORRECT?
SELECT ONE OPTION

A. 0.84.1,0.9
B. 0.87.0.9. 0.84
C. 1,0.87,0.84
D. 1,0.9, 0.8

Reveal Solution Discussion 0

Correct Answer: B 🗳️

Explanation: Only visible for PassTorrent members. You can sign-up / login (it's free).

Question #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 hyperparameter bias.
B. This is an example of algorithmic bias.
C. This is an example of sample bias.
D. This is an example of expert system bias.

Reveal Solution Discussion 0

Correct Answer: C 🗳️

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Question #4

ln the near future, technology will have evolved, and Al will be able to learn multiple tasks by itself without needing to be retrained, allowing it to operate even in new environments. The cognitive abilities of Al are similar to a child of 1-2 years.' In the above quote, which ONE of the following options is the correct name of this type of Al?
SELECT ONE OPTION

A. Super Al
B. Narrow Al
C. General Al
D. Technological singularity

Reveal Solution Discussion 0

Correct Answer: C 🗳️

Explanation: Only visible for PassTorrent members. You can sign-up / login (it's free).

ISQI ISTQB Certified Tester AI Testing (v1.0) : CT-AI_v1.0_World

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ISQI CT-AI_v1.0_World Exam Syllabus Topics:

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