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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Testing AI-Based Systems | - Data quality and dataset validation - Bias, fairness, and explainability testing - Testing ML models |
| Topic 2: AI in Test Automation | - AI-based defect prediction and analytics - AI-supported test generation |
| Topic 3: AI System Quality Risks | - Model drift and performance degradation - Ethical and legal considerations |
| Topic 4: Machine Learning Fundamentals for Testers | - Model training and evaluation basics - Supervised and unsupervised learning concepts |
| Topic 5: Introduction to AI in Software Testing | - Role of AI in testing - AI systems overview |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
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. Only III
- C. I and III
- D. Only II
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Which ONE of the following options describes the LEAST LIKELY usage of Al for detection of GUI changes due to changes in test objects?
SELECT ONE OPTION
- A. Using a vision-based detection of the GUI layout changes before and after test object changes.
- B. Using a pixel comparison of the GUI before and after the change to check the differences.
- C. Using a ML-based classifier to flag if changes in GUI are to be flagged for humans.
- D. Using a computer vision to compare the GUI before and after the test object changes.
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Which ONE of the following options does NOT describe a challenge for acquiring test data in ML systems?
SELECT ONE OPTION
- A. Data for the use case is being generated at a fast pace.
- B. Nature of data constantly changes with lime.
- C. Compliance needs require proper care to be taken of input personal data.
- D. Test data being sourced from public sources.
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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. Classification
- B. Regression
- C. Clustering
- D. Reinforcement learning
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