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

  • Exam Code: CT-AI_v1.0_World
  • Exam Name: ISTQB Certified Tester AI Testing (v1.0)
  • Updated: Sep 09, 2026
  • Q & A: 40 Questions and Answers

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ISQI CT-AI_v1.0_World Exam Syllabus Topics:

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

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

Question #1

Which ONE of the following options does NOT describe a challenge for acquiring test data in ML systems?
SELECT ONE OPTION

  • A. Compliance needs require proper care to be taken of input personal data.
  • B. Test data being sourced from public sources.
  • C. Nature of data constantly changes with lime.
  • D. Data for the use case is being generated at a fast pace.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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

Question #2

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. Bias issues
  • C. Accuracy issues
  • D. Privacy issues
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #3

Which ONE of the following statements is a CORRECT adversarial example in the context of machine learning systems that are working on image classifiers.
SELECT ONE OPTION

  • A. These examples are model specific and are not likely to cause another model trained on same task to fail.
  • B. Black box attacks based on adversarial examples create an exact duplicate model of the original.
  • C. These attack examples cause a model to predict the correct class with slightly less accuracy even though they look like the original image.
  • D. These attacks can't be prevented by retraining the model with these examples augmented tothe training data.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #4

A company producing consumable goods wants to identify groups of people with similar tastes for the purpose of targeting different products for each group. You have to choose and apply an appropriate ML type for this problem.
Which ONE of the following options represents the BEST possible solution for this above-mentioned task?
SELECT ONE OPTION

  • A. Classification
  • B. Clustering
  • C. Association
  • D. Regression
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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

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