Google Professional Machine Learning Engineer
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As an ML engineer at a media company, you're tasked with developing a real-time ML model to analyze video content for object detection and inappropriate content notification. The solution must be cost-effective, scalable, and comply with data privacy regulations. Given these constraints, which combination of Google Cloud products would best suit this project? (Choose one correct option)
A
Pub/Sub for message queuing, Cloud Function for triggering ML model execution, and Cloud Vision API for image analysis, with Cloud Logging for monitoring.
B
Pub/Sub for message queuing, Cloud IoT for device management, Dataflow for batch processing, Cloud Vision API for image analysis, and Cloud Logging for monitoring.
C
Pub/Sub for message queuing, Cloud Function for triggering ML model execution, Video Intelligence API for video analysis, and Cloud Logging for monitoring.
D
Pub/Sub for message queuing, Cloud Function for triggering ML model execution, AutoML Video Intelligence for custom model training, and Cloud Logging for monitoring.