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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: ML Functional Performance Metrics | 11% | - Confusion matrix, accuracy, precision, recall - ROC, AUC, MSE, silhouette coefficient |
| Topic 2: Testing AI-Based Systems | 11% | - Specific challenges and risks - Test strategy and approach |
| Topic 3: Testing Quality Characteristics | 11% | - Explainability and reliability testing - Testing transparency, fairness, robustness |
| Topic 4: AI-Based System Testing Methods | 17% | - Adversarial testing, bias testing - Model validation and verification |
| Topic 5: Neural Networks and Testing | 4% | - Structure of neural networks - Coverage measures for deep learning |
| Topic 6: Test Environment for AI Systems | 2% | - Data and infrastructure requirements |
| Topic 7: ML Data | 10% | - Data quality issues and impact - Data acquisition, preprocessing, labeling |
| Topic 8: Quality Characteristics for AI-Based Systems | 10% | - Flexibility, adaptability, autonomy - Ethics, bias, transparency and safety |
| Topic 9: Machine Learning (ML) Overview | 11% | - Supervised, unsupervised, reinforcement learning - ML workflow, overfitting, underfitting |
| Topic 10: Introduction to AI | 10% | - AI technologies and frameworks
|
| Topic 11: Using AI for Testing Activities | 10% | - Regression optimization, test analysis - Test case generation, defect prediction |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
In a conference on artificial intelligence (Al), a speaker made the statement, "The current implementation of Al using models which do NOT change by themselves is NOT true Al*. Based on your understanding of Al, is this above statement CORRECT or INCORRECT and why?
SELECT ONE OPTION
- A. This statement is incorrect. What is considered Al today will continue to be Al even as technology evolves and changes.
- B. This statement is correct. In general, what is considered Al today may change over time.
- C. This statement is correct. In general, today the term Al is utilized incorrectly.
- D. This statement is incorrect. Current Al is true Al and there is no reason to believe that this fact will change over time.
Explanation: Only visible for RealVCE members. You can sign-up / login (it's free).
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 number of classes
- C. Biased data
- D. The data pipeline
Explanation: Only visible for RealVCE 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. The unknown nature and insufficient specification of the operating environment might have caused the poor performance.
- C. The fast pace of change did not allow sufficient time for testing.
- D. There was an algorithmic bias in the Al system.
Explanation: Only visible for RealVCE members. You can sign-up / login (it's free).
A company producing consumable goods wants to identify groups of people with similar tastes for the purpose of targeting different products for each group. You have to choose and apply an appropriate ML type for this problem.
Which ONE of the following options represents the BEST possible solution for this above-mentioned task?
SELECT ONE OPTION
- A. Clustering
- B. Regression
- C. Classification
- D. Association
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