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ISQI CT-AI_v1.0_World Braindumps - in .pdf Free Demo

  • Exam Code: CT-AI_v1.0_World
  • Exam Name: ISTQB Certified Tester AI Testing (v1.0)
  • Last Updated: Oct 24, 2026
  • Q & A: 40 Questions and Answers
  • Convenient, easy to study. Printable ISQI CT-AI_v1.0_World PDF Format. It is an electronic file format regardless of the operating system platform. 100% Money Back Guarantee.
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  • Exam Code: CT-AI_v1.0_World
  • Exam Name: ISTQB Certified Tester AI Testing (v1.0)
  • Last Updated: Oct 24, 2026
  • Q & A: 40 Questions and Answers
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ISQI CT-AI_v1.0_World Exam Syllabus Topics:

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

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

Question #1

A system was developed for screening the X-rays of patients for potential malignancy detection (skin cancer).
A workflow system has been developed to screen multiple cancers by using several individually trained ML models chained together in the workflow.
Testing the pipeline could involve multiple kind of tests (I - III):
I.Pairwise testing of combinations
II.Testing each individual model for accuracy
III.A/B testing of different sequences of models
Which ONE of the following options contains the kinds of tests that would be MOST APPROPRIATE to include in the strategy for optimal detection?
SELECT ONE OPTION

  • A. I and II
  • B. I and III
  • C. Only II
  • D. Only III
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #2

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. Technological singularity
  • B. General Al
  • C. Narrow Al
  • D. Super Al
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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

Question #3

Which ONE of the following options BEST DESCRIBES clustering?
SELECT ONE OPTION

  • A. Clustering is classification of a continuous quantity.
  • B. Clustering is supervised learning.
  • C. Clustering is done without prior knowledge of output classes.
  • D. Clustering requires you to know the classes.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #4

"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 similarity between the training and testing data.
  • C. The input data has not been tested for quality prior to use for testing.
  • D. A lack of focus on non-functional requirements testing.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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