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Exam Professional Cloud Developer topic 1 question 340 discussion

Actual exam question from Google's Professional Cloud Developer
Question #: 340
Topic #: 1
[All Professional Cloud Developer Questions]

You are developing an online chat application where users can upload profile pictures. Uploaded profile pictures must comply with content policies. You need to detect inappropriate images and label those images automatically when they are uploaded. In the future, this process will need to be expanded to include additional processing tasks such as watermarking and image compression.

You want to simplify orchestration and minimize operational overhead of the image scanning and labeling steps while also ensuring that additional steps can be added and removed easily later on. What should you do?

  • A. Save user-uploaded images to a temporary Cloud Storage bucket. Implement code on the backend server to retrieve the image content and call the Vision API to process each new uploaded image.
  • B. Save user-uploaded images to a Cloud Storage bucket. Configure a Cloud Function that is triggered when a new image is uploaded and calls one or more Cloud Run services. Create additional Cloud Run services that call the Vision API to process each new uploaded image.
  • C. Save user-uploaded images to a Cloud Storage bucket. Configure a Cloud Function that is triggered when a new image is uploaded and publishes a message to a Pub/Sub topic. Deploy microservices in GKE that subscribe to the Pub/Sub topic and call the Vision API to process each new uploaded image.
  • D. Save user-uploaded images to a Cloud Storage bucket. Create an Eventarc trigger that connects the bucket to the Workflows event receiver when a new image is uploaded. Create a workflow in Workflows with multiple Cloud Functions that call the Vision API to process each new uploaded image.
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Suggested Answer: D 🗳️
by Sandesh24 at March 1, 2025, 3:56 p.m.

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Sandesh24
2 months ago
Selected Answer: D
Using Cloud Storage with an Eventarc trigger to initiate a Workflows orchestration allows you to easily add or remove processing steps, such as additional image analysis, watermarking, or compression, without the need to manage complex infrastructure. This design minimizes operational overhead by leveraging serverless components that automatically scale and are managed by Google Cloud.
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