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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #318

You are an AI architect at a popular photo sharing social media platform. Your organization's content moderation team currently scans images uploaded by users and removes explicit images manually…

The correct answer is C. Create a dataset using manually labeled images. Ingest this dataset into AutoML. Train an image. Using AutoML for image classification allows you to quickly build a high-quality model without needing deep ML expertise. Deploying the model to a Vertex AI endpoint and integrating it with the image upload process enables real-time moderation. This solution is efficient…

Submitted by lars.no· Apr 18, 2026ML model development

Question

You are an AI architect at a popular photo sharing social media platform. Your organization's content moderation team currently scans images uploaded by users and removes explicit images manually. You want to implement an AI service to automatically prevent users from uploading explicit images. What should you do?

Options

  • ATrain an image clustering model by using TensorFlow in a Vertex AI Workbench instance. Deploy
  • BDevelop a custom TensorFlow model in a Vertex AI Workbench instance. Train the model on a
  • CCreate a dataset using manually labeled images. Ingest this dataset into AutoML. Train an image
  • DSend a copy of every user-uploaded image to a Cloud Storage bucket. Configure a Cloud Run

How the community answered

(19 responses)
  • A
    5% (1)
  • B
    16% (3)
  • C
    74% (14)
  • D
    5% (1)

Explanation

Using AutoML for image classification allows you to quickly build a high-quality model without needing deep ML expertise. Deploying the model to a Vertex AI endpoint and integrating it with the image upload process enables real-time moderation. This solution is efficient, scalable, and allows for continuous improvement through monitoring and retraining.

Topics

#Image Classification#AutoML Vision#Supervised Learning#Data Labeling

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