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AI-102 · Question #325

Drag and Drop Question You have a monitoring solution that uses the Azure AI Anomaly Detector service. You provision a server named Server1 that has intermittent internet access. You need to deploy…

The correct answer is Install the Docker Engine on Server1.; From Server1, run the docker pull command.; From Server1, run the docker run command.; Query the prediction endpoint on Server1. To deploy Azure AI Anomaly Detector as a container on Server1 (which has intermittent internet access), you must first install Docker Engine to enable container support, then pull the Anomaly Detector container image from Microsoft Container Registry, then run the container…

Submitted by kavita_s· Mar 30, 2026Deploy and manage Azure AI services containers for disconnected or intermittent connectivity scenarios (Azure AI Services – Containerization)

Question

Drag and Drop Question You have a monitoring solution that uses the Azure AI Anomaly Detector service. You provision a server named Server1 that has intermittent internet access. You need to deploy the Azure AI Anomaly Detector to Server1. Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Answer:

Exhibit

AI-102 question #325 exhibit

Answer Area

Drag items

Query the prediction endpoint on Server1.From Server1, run the docker push command.Install the Docker Engine on Server1.Query the prediction endpoint of the Azure AI Anomaly Detector in Azure.From Server1, run the docker run command.From Server1, run the docker pull command.

Correct arrangement

  • Install the Docker Engine on Server1.
  • From Server1, run the docker pull command.
  • From Server1, run the docker run command.
  • Query the prediction endpoint on Server1.

Explanation

To deploy Azure AI Anomaly Detector as a container on Server1 (which has intermittent internet access), you must first install Docker Engine to enable container support, then pull the Anomaly Detector container image from Microsoft Container Registry, then run the container locally, and finally query the local prediction endpoint on Server1. This approach allows the service to function offline during internet outages since the container runs locally after the initial pull.

Topics

#Azure AI Containers#Anomaly Detector#Docker Deployment#Edge/Offline AI Services

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