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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Testing AI-Based Systems | - Testing ML models - Bias, fairness, and explainability testing - Data quality and dataset validation |
| Topic 2: Introduction to AI in Software Testing | - AI systems overview - Role of AI in testing |
| Topic 3: Machine Learning Fundamentals for Testers | - Model training and evaluation basics - Supervised and unsupervised learning concepts |
| Topic 4: AI System Quality Risks | - Ethical and legal considerations - Model drift and performance degradation |
| Topic 5: AI in Test Automation | - AI-supported test generation - AI-based defect prediction and analytics |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Question #1
Which of the following is THE LEAST appropriate tests to be performed for testing a feature related to autonomy?
SELECT ONE OPTION
A. Test for human handover to give rest to the system.
B. Test for human handover after a given time interval.
C. Test for human handover requiring mandatory relinquishing control.
D. Test for human handover when it should actually not be relinquishing control.
Question #2
Which ONE of the following options BEST DESCRIBES clustering?
SELECT ONE OPTION
A. Clustering requires you to know the classes.
B. Clustering is done without prior knowledge of output classes.
C. Clustering is supervised learning.
D. Clustering is classification of a continuous quantity.
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 expert system bias.
B. This is an example of hyperparameter bias.
C. This is an example of sample bias.
D. This is an example of algorithmic bias.
Question #4
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. 1,0.9, 0.8
B. 0.84.1,0.9
C. 1,0.87,0.84
D. 0.87.0.9. 0.84
Solutions:
| Question #1 Correct Answer: D | Question #2 Correct Answer: B | Question #3 Correct Answer: C | Question #4 Correct Answer: D |



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