CLOUD-DIGITAL-LEADER · Question #300
An organization has created an application that can diagnose different medical conditions when users submit images of their affected body parts. Which Google Cloud product or service did the…
The correct answer is D. Machine learning. Diagnosing medical conditions from user-submitted images requires machine learning, specifically image recognition and classification models.
Question
An organization has created an application that can diagnose different medical conditions when users submit images of their affected body parts. Which Google Cloud product or service did the organization use?
Options
- ACloud Logging
- BCloud Profiler
- CApp Engine
- DMachine learning
How the community answered
(28 responses)- B4% (1)
- C4% (1)
- D93% (26)
Why each option
Diagnosing medical conditions from user-submitted images requires machine learning, specifically image recognition and classification models.
Cloud Logging is a service for collecting and querying log data from applications and infrastructure, not for analyzing images or making diagnoses.
Cloud Profiler is a performance analysis tool that identifies CPU and memory usage bottlenecks in applications and has no image analysis capability.
App Engine is a platform-as-a-service for hosting web applications and does not itself provide image recognition or machine learning inference.
Medical image analysis for diagnosis is a classic machine learning use case involving computer vision models trained to detect patterns in images associated with specific conditions. Google Cloud provides machine learning tools such as AutoML Vision and the Cloud Vision API that enable this type of image-based classification. The application described - analyzing body part images to identify conditions - directly relies on trained ML models rather than any generic hosting or monitoring service.
Concept tested: Machine learning for medical image classification
Source: https://cloud.google.com/automl/docs
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