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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: ML Neural Networks and Testing | - Neural Networks
|
| Topic 2: Introduction to AI | - AI Fundamentals
|
| Topic 3: Using AI for Testing | - AI-Assisted Testing
|
| Topic 4: Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| Topic 5: Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| Topic 6: Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Topic 7: Machine Learning | - ML Fundamentals
|
| Topic 8: Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Topic 9: Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| Topic 10: ML Data | - Data Quality
|
| Topic 11: ML Functional Performance Metrics | - Performance Evaluation
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Question 1
Which ONE of the following statements is a CORRECT adversarial example in the context of machine learning systems that are working on image classifiers.
SELECT ONE OPTION
A. These attacks can't be prevented by retraining the model with these examples augmented tothe training data.
B. Black box attacks based on adversarial examples create an exact duplicate model of the original.
C. These examples are model specific and are not likely to cause another model trained on same task to fail.
D. These attack examples cause a model to predict the correct class with slightly less accuracy even though they look like the original image.
Question 2
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 when it should actually not be relinquishing control.
B. Test for human handover requiring mandatory relinquishing control.
C. Test for human handover to give rest to the system.
D. Test for human handover after a given time interval.
Question 3
"AllerEgo" is a product that uses sell-learning to predict the behavior of a pilot under combat situation for a variety of terrains and enemy aircraft formations. Post training the model was exposed to the real- world data and the model was found to bebehaving poorly. A lot of data quality tests had been performed on the data to bring it into a shape fit for training and testing.
Which ONE of the following options is least likely to describes the possible reason for the fall in the performance, especially when considering the self-learning nature of the Al system?
SELECT ONE OPTION
A. There was an algorithmic bias in the Al system.
B. The fast pace of change did not allow sufficient time for testing.
C. The unknown nature and insufficient specification of the operating environment might have caused the poor performance.
D. The difficulty of defining criteria for improvement before the model can be accepted.
Question 4
Written requirements are given in text documents, which ONE of the following options is the BEST way to generate test cases from these requirements?
SELECT ONE OPTION
A. Machine learning on logs of execution
B. GUI analysis by computer vision
C. Analyzing source code for generating test cases
D. Natural language processing on textual requirements
Solutions:
| Question 1 Answer: C | Question 2 Answer: A | Question 3 Answer: D | Question 4 Answer: D |
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