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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Topic 2: Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Topic 3: ML Neural Networks and Testing | - Neural Networks
|
| Topic 4: Using AI for Testing | - AI-Assisted Testing
|
| Topic 5: Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| Topic 6: Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| Topic 7: ML Data | - Data Quality
|
| Topic 8: ML Functional Performance Metrics | - Performance Evaluation
|
| Topic 9: Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| Topic 10: Machine Learning | - ML Fundamentals
|
| Topic 11: Introduction to AI | - AI Fundamentals
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. "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) The difficulty of defining criteria for improvement before the model can be accepted.
B) The unknown nature and insufficient specification of the operating environment might have caused the poor performance.
C) The fast pace of change did not allow sufficient time for testing.
D) There was an algorithmic bias in the Al system.
2. Which ONE of the following combinations of Training, Validation, Testing data is used during the process of learning/creating the model?
SELECT ONE OPTION
A) Training data - validation data - test data
B) Training data * test data
C) Validation data - test data
D) Training data - validation data
3. Which ONE of the following characteristics is the least likely to cause safety related issues for an Al system?
SELECT ONE OPTION
A) Self-learning
B) Robustness
C) High complexity
D) Non-determinism
4. 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 examples are model specific and are not likely to cause another model trained on same task to fail.
B) Black box attacks based on adversarial examples create an exact duplicate model of the original.
C) These attack examples cause a model to predict the correct class with slightly less accuracy even though they look like the original image.
D) These attacks can't be prevented by retraining the model with these examples augmented tothe training data.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: A |
Alvin -
With the help of this CT-AI_v1.0_World study materials, i found appearing for the exam rather straightforward. I answered almost all the questions and have passed the exam.