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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| Topic 2: Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| Topic 3: Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Topic 4: Introduction to AI | - AI Fundamentals
|
| Topic 5: Machine Learning | - ML Fundamentals
|
| Topic 6: Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Topic 7: ML Functional Performance Metrics | - Performance Evaluation
|
| Topic 8: Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| Topic 9: Using AI for Testing | - AI-Assisted Testing
|
| Topic 10: ML Data | - Data Quality
|
| Topic 11: ML Neural Networks and Testing | - Neural Networks
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Which ONE of the following options does NOT describe an Al technology related characteristic which differentiates Al test environments from other test environments?
SELECT ONE OPTION
- A. The challenge of mimicking undefined scenarios generated due to self-learning
- B. Challenges resulting from low accuracy of the models.
- C. Challenges in the creation of scenarios of human handover for autonomous systems.
- D. The challenge of providing explainability to the decisions made by the system.
Correct Answer: C 🗳️
Explanation: Only visible for TestPassKing members. You can sign-up / login (it's free).
Which ONE of the following tests is LEAST likely to be performed during the ML model testing phase?
SELECT ONE OPTION
- A. Testing the API of the service powered by the ML model.
- B. Testing the accuracy of the classification model.
- C. Testing the speed of the training of the model.
- D. Testing the speed of the prediction by the model.
Correct Answer: C 🗳️
Explanation: Only visible for TestPassKing members. You can sign-up / login (it's free).
"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. There was an algorithmic bias in the Al system.
- C. The fast pace of change did not allow sufficient time for testing.
- D. The unknown nature and insufficient specification of the operating environment might have caused the poor performance.
Correct Answer: A 🗳️
Explanation: Only visible for TestPassKing members. You can sign-up / login (it's free).
In a certain coffee producing region of Colombia, there have been some severe weather storms, resulting in massive losses in production. This caused a massive drop in stock price of coffee.
Which ONE of the following types of testing SHOULD be performed for a machine learning model for stock-price prediction to detect influence of such phenomenon as above on price of coffee stock.
SELECT ONE OPTION
- A. Testing for concept drift
- B. Testing for security
- C. Testing for accuracy
- D. Testing for bias
Correct Answer: A 🗳️
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