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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Topic 2: Introduction to AI | - AI Fundamentals
|
| Topic 3: ML Data | - Data Quality
|
| Topic 4: Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| Topic 5: ML Neural Networks and Testing | - Neural Networks
|
| Topic 6: ML Functional Performance Metrics | - Performance Evaluation
|
| Topic 7: Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| Topic 8: Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Topic 9: Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| Topic 10: Machine Learning | - ML Fundamentals
|
| Topic 11: Using AI for Testing | - AI-Assisted Testing
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. Which ONE of the following options is an example that BEST describes a system with Al-based autonomous functions?
SELECT ONE OPTION
A) A system that utilizes human beings for all important decisions.
B) A system that is fully able to respond to its environment.
C) A fully automated manufacturing plant that uses no software.
D) A system that utilizes a tool like Selenium.
2. Which ONE of the following tests is LEAST likely to be performed during the ML model testing phase?
SELECT ONE OPTION
A) Testing the accuracy of the classification model.
B) Testing the API of the service powered by the ML model.
C) Testing the speed of the prediction by the model.
D) Testing the speed of the training of the model.
3. Which ONE of the following is the BEST option to optimize the regression test selection and prevent the regression suite from growing large?
SELECT ONE OPTION
A) Automating test scripts using Al-based test automation tools.
B) Using of a random subset of tests.
C) Using an Al-based tool to optimize the regression test suite by analyzing past test results
D) Identifying suitable tests by looking at the complexity of the test cases.
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) 1,0.87,0.84
B) 0.87.0.9. 0.84
C) 0.84.1,0.9
D) 1,0.9, 0.8
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: B |



