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

"ISTQB Certified Tester AI Testing (v1.0)", also known as CT-AI_v1.0_World exam, is a ISQI Certification. With the complete collection of questions and answers, Pass4sureCert has assembled to take you through 40 Q&As to your CT-AI_v1.0_World Exam preparation. In the CT-AI_v1.0_World exam resources, you will cover every field and category in AI Testing Certification helping to ready you for your successful ISQI Certification.

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  • Exam Code: CT-AI_v1.0_World
  • Exam Name: ISTQB Certified Tester AI Testing (v1.0)
  • Certification Provider: ISQI
  • Corresponding Certification: AI Testing
  • Updated: Sep 12, 2026
  • No. of Questions: 40 Questions & Answers with Testing Engine
  • Download Limit: Unlimited

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ISQI CT-AI_v1.0_World Exam Syllabus Topics:

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

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

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. Test the model during model evaluation for data bias.
  • B. Check the input test data for potential sample bias.
  • C. Testing the distribution shift in the training data for inappropriate bias.
  • D. Testing the data pipeline for any sources for algorithmic bias.
Answer: A

Explanation: Only visible for Pass4sureCert members. You can sign-up / login (it's free).

"BioSearch" is creating an Al model used for predicting cancer occurrence via examining X-Ray images. The accuracy of the model in isolation has been found to be good. However, the users of the model started complaining of the poor quality of results, especially inability to detect real cancer cases, when put to practice in the diagnosis lab, leading to stopping of the usage of the model.
A testing expert was called in to find the deficiencies in the test planning which led to the above scenario.
Which ONE of the following options would you expect to MOST likely be the reason to be discovered by the test expert?
SELECT ONE OPTION

  • A. A lack of focus on choosing the right functional-performance metrics.
  • B. A lack of focus on non-functional requirements testing.
  • C. A lack of similarity between the training and testing data.
  • D. The input data has not been tested for quality prior to use for testing.
Answer: C

Explanation: Only visible for Pass4sureCert members. You can sign-up / login (it's free).

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. Clustering
  • B. Classification
  • C. Regression
  • D. Association
Answer: A

Explanation: Only visible for Pass4sureCert members. You can sign-up / login (it's free).

Max. Score: 2
Al-enabled medical devices are used nowadays for automating certain parts of the medical diagnostic processes. Since these are life-critical process the relevant authorities are considenng bringing about suitable certifications for these Al enabled medical devices. This certification may involve several facets of Al testing (I - V).
I.Autonomy
II.Maintainability
III.Safety
IV.Transparency
V.Side Effects
Which ONE of the following options contains the three MOST required aspects to be satisfied for the above scenario of certification of Al enabled medical devices?
SELECT ONE OPTION

  • A. Aspects III, IV, and V
  • B. Aspects I, II, and III
  • C. Aspects II, III and IV
  • D. Aspects I, IV, and V
Answer: A

Explanation: Only visible for Pass4sureCert members. You can sign-up / login (it's free).

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