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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Quality Characteristics for AI-Based Systems | 10% | - Ethics, bias, transparency and safety - Flexibility, adaptability, autonomy |
| Topic 2: Testing Quality Characteristics | 11% | - Explainability and reliability testing - Testing transparency, fairness, robustness |
| Topic 3: ML Functional Performance Metrics | 11% | - ROC, AUC, MSE, silhouette coefficient - Confusion matrix, accuracy, precision, recall |
| Topic 4: AI-Based System Testing Methods | 17% | - Model validation and verification - Adversarial testing, bias testing |
| Topic 5: Using AI for Testing Activities | 10% | - Regression optimization, test analysis - Test case generation, defect prediction |
| Topic 6: Test Environment for AI Systems | 2% | - Data and infrastructure requirements |
| Topic 7: Machine Learning (ML) Overview | 11% | - Supervised, unsupervised, reinforcement learning - ML workflow, overfitting, underfitting |
| Topic 8: Neural Networks and Testing | 4% | - Structure of neural networks - Coverage measures for deep learning |
| Topic 9: Introduction to AI | 10% | - AI technologies and frameworks
|
| Topic 10: ML Data | 10% | - Data quality issues and impact - Data acquisition, preprocessing, labeling |
| Topic 11: Testing AI-Based Systems | 11% | - Test strategy and approach - Specific challenges and risks |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
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 accuracy
- B. Testing for concept drift
- C. Testing for security
- D. Testing for bias
Explanation: Only visible for TestBraindump members. You can sign-up / login (it's free).
Which ONE of the following options describes a scenario of A/B testing the LEAST?
SELECT ONE OPTION
- A. A comparison of two different offers in a recommendation system to decide on the more effective offer for same users.
- B. A comparison of the performance of an ML system on two different input datasets.
- C. A comparison of two different websites for the same company to observe from a user acceptance perspective.
- D. A comparison of the performance of two different ML implementations on the same input data.
Explanation: Only visible for TestBraindump members. You can sign-up / login (it's free).
Which ONE of the following options represents a technology MOST TYPICALLY used to implement Al?
SELECT ONE OPTION
- A. Procedural programming
- B. Genetic algorithms
- C. Search engines
- D. Case control structures
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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 API of the service powered by the ML model.
- C. Testing the accuracy of the classification model.
- D. Testing the speed of the prediction by the model.
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