Microsoft Azure AI Fundamentals (AI-900) Practice Exam

Will the Face service be more accurate with more sample photos of each employee from different angles?

1. Yes

2. No

3. Only for new employees

4. Only if taken on different days

The correct answer is: Yes

The Face service in Azure uses machine learning algorithms to recognize and analyze facial features from images. The accuracy of this service generally improves with a larger and more diverse dataset. When more sample photos of each employee are provided from different angles, the model can learn to identify the unique features of each person's face more effectively. Having various angles helps the system to account for possible variations in appearance due to head rotations, facial expressions, or lighting conditions. Essentially, the model benefits from more context and variability, which enhances its ability to generalize from the training data to real-world scenarios. This increased accuracy can lead to better recognition and less chance of confusion between different individuals. In this case, the correct choice illustrates the importance of data diversity and quantity in training machine learning models, particularly in services like facial recognition.