AI-900 Question 169
Select 3Your company wants to implement an Azure-based solution to analyze customer facial expressions in real-time during virtual meetings. Which features of Azure's facial detection and analysis solution could help achieve this goal?
- A
Detect emotions such as happiness, sadness, or anger in faces
- B
Identify specific individuals by matching faces with a pre-existing database
- C
Determine the age range and gender of detected faces
- D
Detect and blur faces automatically to ensure privacy
- E
Analyze faces to estimate head pose, such as tilt and direction
Show answer and explanation
Correct answers: A, C, E
Explanation
Azure's facial detection and analysis solutions provide features such as emotion detection, age and gender estimation, and head pose analysis. These features are useful for understanding customer reactions and engagement in real-time during virtual meetings. However, identifying individuals and automatic face blurring are not part of the core functionality for general facial analysis in Azure.
- A. Correct.
Azure's facial analysis capabilities include detecting emotions like happiness, sadness, anger, etc., which is key to analyzing customer reactions during meetings.
- B. Incorrect.
Facial recognition for identifying specific individuals requires a separate setup with a pre-existing database. This is not a core feature of general facial analysis.
- C. Correct.
Facial analysis can estimate demographic attributes like age range and gender, which can provide additional insights about participants.
- D. Incorrect.
Azure does not natively include functionality to blur faces automatically as part of facial detection and analysis. This would require a custom implementation.
- E. Correct.
Azure’s facial analysis solution can estimate head pose, which can help interpret physical cues like attention or engagement during meetings.