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| Section | Objectives |
|---|---|
| Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| ML Neural Networks and Testing | - Neural Networks
|
| Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| ML Data | - Data Quality
|
| Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Machine Learning | - ML Fundamentals
|
| Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| Introduction to AI | - AI Fundamentals
|
| Using AI for Testing | - AI-Assisted Testing
|
| ML Functional Performance Metrics | - Performance Evaluation
|
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Which ONE of the following types of coverage SHOULD be used if test cases need to cause each neuron to achieve both positive and negative activation values?
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