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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Introduction to AI in Software Testing | - Role of AI in testing - AI systems overview |
| Topic 2: AI in Test Automation | - AI-supported test generation - AI-based defect prediction and analytics |
| Topic 3: Testing AI-Based Systems | - Testing ML models - Bias, fairness, and explainability testing - Data quality and dataset validation |
| Topic 4: AI System Quality Risks | - Ethical and legal considerations - Model drift and performance degradation |
| Topic 5: Machine Learning Fundamentals for Testers | - Supervised and unsupervised learning concepts - Model training and evaluation basics |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Which ONE of the following tests is LEAST likely to be performed during the ML model testing phase?
SELECT ONE OPTION
- A. Testing the speed of the prediction by the model.
- B. Testing the accuracy of the classification model.
- C. Testing the API of the service powered by the ML model.
- D. Testing the speed of the training of the model.
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A ML engineer is trying to determine the correctness of the new open-source implementation *X", of a supervised regression algorithm implementation. R-Square is one of the functional performance metrics used to determine the quality of the model.
Which ONE of the following would be an APPROPRIATE strategy to achieve this goal?
SELECT ONE OPTION
- A. Drop 10% of the rows randomly and create another model and compare the R-Square scores of both the models.
- B. Compare the R-Square score of the model obtained using two different implementations that utilize two different programming languages while using the same algorithm and the same training and testing data.
- C. Train various models by changing the order of input features and verify that the R-Square score of these models vary significantly.
- D. Add 10% of the rows randomly and create another model and compare the R-Square scores of both the model.
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Which ONE of the following describes a situation of back-to-back testing the LEAST?
SELECT ONE OPTION
- A. Comparison of the results of a current neural network model ML model implemented in platform A (for example Pytorch) with a similar neural network model ML model implemented in platform B (for example Tensorflow), for the same data.
- B. Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.
- C. Comparison of the results of a home-grown neural network model ML model with results in a neural network model implemented in a standard implementation (for example Pytorch) for same data
- D. Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.
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Arihant Meditation is a startup using Al to aid people in deeper and better meditation based on analysis of various factors such as time and duration of the meditation, pulse and blood pressure, EEG patters etc. among others. Their model accuracy and other functional performance parameters have not yet reached their desired level.
Which ONE of the following factors is NOT a factor affecting the ML functional performance?
SELECT ONE OPTION
- A. The quality of the labeling
- B. The data pipeline
- C. The number of classes
- D. Biased data
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