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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Quality Characteristics for AI-Based Systems | 10% | - Flexibility, adaptability, autonomy - Ethics, bias, transparency and safety |
| Topic 2: Machine Learning (ML) Overview | 11% | - ML workflow, overfitting, underfitting - Supervised, unsupervised, reinforcement learning |
| Topic 3: Test Environment for AI Systems | 2% | - Data and infrastructure requirements |
| Topic 4: Neural Networks and Testing | 4% | - Structure of neural networks - Coverage measures for deep learning |
| Topic 5: ML Data | 10% | - Data quality issues and impact - Data acquisition, preprocessing, labeling |
| Topic 6: Using AI for Testing Activities | 10% | - Test case generation, defect prediction - Regression optimization, test analysis |
| Topic 7: ML Functional Performance Metrics | 11% | - Confusion matrix, accuracy, precision, recall - ROC, AUC, MSE, silhouette coefficient |
| Topic 8: AI-Based System Testing Methods | 17% | - Model validation and verification - Adversarial testing, bias testing |
| Topic 9: Introduction to AI | 10% | - AI technologies and frameworks
|
| Topic 10: Testing Quality Characteristics | 11% | - Explainability and reliability testing - Testing transparency, fairness, robustness |
| Topic 11: Testing AI-Based Systems | 11% | - Specific challenges and risks - Test strategy and approach |
1. Upon testing a model used to detect rotten tomatoes, the following data was observed by the test engineer, based on certain number of tomato images.
For this confusion matrix which combinations of values of accuracy, recall, and specificity respectively is CORRECT?
SELECT ONE OPTION
A) 1,0.87,0.84
B) 0.84.1,0.9
C) 0.87.0.9. 0.84
D) 1,0.9, 0.8
2. 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) Regression
B) Association
C) Classification
D) Clustering
3. Which ONE of the following models BEST describes a way to model defect prediction by looking at the history of bugs in modules by using code quality metrics of modules of historical versions as input?
SELECT ONE OPTION
A) Clustering of similar code modules to predict based on similarity.
B) Identifying the relationship between developers and the modules developed by them.
C) Using a classification model to predict the presence of a defect by using code quality metrics as the input data.
D) Search of similar code based on natural language processing.
4. Which of the following is THE LEAST appropriate tests to be performed for testing a feature related to autonomy?
SELECT ONE OPTION
A) Test for human handover after a given time interval.
B) Test for human handover requiring mandatory relinquishing control.
C) Test for human handover to give rest to the system.
D) Test for human handover when it should actually not be relinquishing control.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: D |
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