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Professional Cloud Developer

  • Topic 1 Question 340

    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?

    • 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.

    • 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.

    • 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.

    • 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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