Google Cloud Professional Machine Learning Engineer — Question 182

You work for a company that captures live video footage of checkout areas in their retail stores. You need to use the live video footage to build a model to detect the number of customers waiting for service in near real time. You want to implement a solution quickly and with minimal effort. How should you build the model?

Answer options

• A. Use the Vertex AI Vision Occupancy Analytics model.
• B. Use the Vertex AI Vision Person/vehicle detector model.
• C. Train an AutoML object detection model on an annotated dataset by using Vertex AutoML.
• D. Train a Seq2Seq+ object detection model on an annotated dataset by using Vertex AutoML.

Correct answer: A

Explanation

The correct choice is A, as the Vertex AI Vision Occupancy Analytics model is specifically designed for counting the number of people in a given area and can be implemented quickly. Options B and C, while relevant, do not focus on occupancy analysis and would require additional setup and training time. Option D also involves more complexity and is not optimized for the specific task of counting customers waiting for service.