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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Using AI for Testing Activities | 10% | - Regression optimization, test analysis - Test case generation, defect prediction |
| Topic 2: Introduction to AI | 10% | - AI definitions and types
|
| Topic 3: Test Environment for AI Systems | 2% | - Data and infrastructure requirements |
| Topic 4: AI-Based System Testing Methods | 17% | - Model validation and verification - Adversarial testing, bias testing |
| Topic 5: Quality Characteristics for AI-Based Systems | 10% | - Ethics, bias, transparency and safety - Flexibility, adaptability, autonomy |
| Topic 6: Neural Networks and Testing | 4% | - Structure of neural networks - Coverage measures for deep learning |
| Topic 7: ML Data | 10% | - Data acquisition, preprocessing, labeling - Data quality issues and impact |
| Topic 8: Testing Quality Characteristics | 11% | - Testing transparency, fairness, robustness - Explainability and reliability testing |
| Topic 9: ML Functional Performance Metrics | 11% | - Confusion matrix, accuracy, precision, recall - ROC, AUC, MSE, silhouette coefficient |
| Topic 10: Machine Learning (ML) Overview | 11% | - ML workflow, overfitting, underfitting - Supervised, unsupervised, reinforcement learning |
| Topic 11: Testing AI-Based Systems | 11% | - Test strategy and approach - Specific challenges and risks |
1. Which ONE of the following options describes a scenario of A/B testing the LEAST?
SELECT ONE OPTION
A) A comparison of the performance of two different ML implementations on the same input data.
B) A comparison of two different offers in a recommendation system to decide on the more effective offer for same users.
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 an ML system on two different input datasets.
2. ln the near future, technology will have evolved, and Al will be able to learn multiple tasks by itself without needing to be retrained, allowing it to operate even in new environments. The cognitive abilities of Al are similar to a child of 1-2 years.' In the above quote, which ONE of the following options is the correct name of this type of Al?
SELECT ONE OPTION
A) General Al
B) Super Al
C) Technological singularity
D) Narrow Al
3. Which ONE of the following options is an example that BEST describes a system with Al-based autonomous functions?
SELECT ONE OPTION
A) A system that utilizes a tool like Selenium.
B) A system that is fully able to respond to its environment.
C) A fully automated manufacturing plant that uses no software.
D) A system that utilizes human beings for all important decisions.
4. "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.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: A |
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