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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Testing AI-Based Systems | 11% | - Specific challenges and risks - Test strategy and approach |
| Topic 2: Machine Learning (ML) Overview | 11% | - Supervised, unsupervised, reinforcement learning - ML workflow, overfitting, underfitting |
| Topic 3: ML Data | 10% | - Data acquisition, preprocessing, labeling - Data quality issues and impact |
| Topic 4: Quality Characteristics for AI-Based Systems | 10% | - Flexibility, adaptability, autonomy - Ethics, bias, transparency and safety |
| Topic 5: ML Functional Performance Metrics | 11% | - ROC, AUC, MSE, silhouette coefficient - Confusion matrix, accuracy, precision, recall |
| Topic 6: Introduction to AI | 10% | - AI technologies and frameworks
|
| Topic 7: Using AI for Testing Activities | 10% | - Test case generation, defect prediction - Regression optimization, test analysis |
| Topic 8: AI-Based System Testing Methods | 17% | - Adversarial testing, bias testing - Model validation and verification |
| Topic 9: Test Environment for AI Systems | 2% | - Data and infrastructure requirements |
| Topic 10: Testing Quality Characteristics | 11% | - Explainability and reliability testing - Testing transparency, fairness, robustness |
| Topic 11: Neural Networks and Testing | 4% | - Structure of neural networks - Coverage measures for deep learning |
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 concept drift
- B. Testing for bias
- C. Testing for accuracy
- D. Testing for security
Correct Answer: A 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
Which ONE of the following activities is MOST relevant when addressing the scenario where you have more than the required amount of data available for the training?
SELECT ONE OPTION
- A. Data augmentation
- B. Data sampling
- C. Feature selection
- D. Data labeling
Correct Answer: B 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
Written requirements are given in text documents, which ONE of the following options is the BEST way to generate test cases from these requirements?
SELECT ONE OPTION
- A. Analyzing source code for generating test cases
- B. Machine learning on logs of execution
- C. Natural language processing on textual requirements
- D. GUI analysis by computer vision
Correct Answer: C 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
Which ONE of the following tests is MOST likely to describe a useful test to help detect different kinds of biases in ML pipeline?
SELECT ONE OPTION
- A. Testing the data pipeline for any sources for algorithmic bias.
- B. Testing the distribution shift in the training data for inappropriate bias.
- C. Check the input test data for potential sample bias.
- D. Test the model during model evaluation for data bias.
Correct Answer: D 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
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