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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI-Based System Testing Methods | 17% | - Adversarial testing, bias testing - Model validation and verification |
| Topic 2: Neural Networks and Testing | 4% | - Coverage measures for deep learning - Structure of neural networks |
| Topic 3: Using AI for Testing Activities | 10% | - Regression optimization, test analysis - Test case generation, defect prediction |
| Topic 4: Machine Learning (ML) Overview | 11% | - ML workflow, overfitting, underfitting - Supervised, unsupervised, reinforcement learning |
| Topic 5: Quality Characteristics for AI-Based Systems | 10% | - Flexibility, adaptability, autonomy - Ethics, bias, transparency and safety |
| Topic 6: Introduction to AI | 10% | - AI technologies and frameworks
|
| Topic 7: Testing AI-Based Systems | 11% | - Test strategy and approach - Specific challenges and risks |
| Topic 8: ML Data | 10% | - Data quality issues and impact - Data acquisition, preprocessing, labeling |
| Topic 9: Testing Quality Characteristics | 11% | - Testing transparency, fairness, robustness - Explainability and reliability testing |
| Topic 10: ML Functional Performance Metrics | 11% | - ROC, AUC, MSE, silhouette coefficient - Confusion matrix, accuracy, precision, recall |
| Topic 11: Test Environment for AI Systems | 2% | - Data and infrastructure requirements |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Which ONE of the following approaches to labelling requires the least time and effort?
SELECT ONE OPTION
- A. Internal
- B. Outsourced
- C. Al-Assisted
- D. Pre-labeled dataset
Correct Answer: D 🗳️
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Which ONE of the following options describes the LEAST LIKELY usage of Al for detection of GUI changes due to changes in test objects?
SELECT ONE OPTION
- A. Using a vision-based detection of the GUI layout changes before and after test object changes.
- B. Using a computer vision to compare the GUI before and after the test object changes.
- C. Using a pixel comparison of the GUI before and after the change to check the differences.
- D. Using a ML-based classifier to flag if changes in GUI are to be flagged for humans.
Correct Answer: C 🗳️
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Pairwise testing can be used in the context of self-driving cars for controlling an explosion in the number of combinations of parameters.
Which ONE of the following options is LEAST likely to be a reason for this incredible growth of parameters?
SELECT ONE OPTION
- A. ML model metrics to evaluate the functional performance
- B. Different Road Types
- C. Different features like ADAS, Lane Change Assistance etc.
- D. Different weather conditions
Correct Answer: A 🗳️
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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 training of 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 prediction by the model.
Correct Answer: A 🗳️
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