clean up after exercise- there is no option to delete endpoint on my screen

Question

I am trying to clean after exercise but there is no delete endpoint option

Answer 1

Hi Agnes Wojciechowski

UI in screenshot looks very different from my side. Probably because of lab environment.

You can delete via CLI/SDK/UI.

CLI (You have to locate Cloud shell icon in portal to use)

For real time

az login --identity
az ml online-endpoint delete --name my-online-endpoint --resource-group my-resource-group --workspace-name my-workspace

For Batch endpoint

az login --identity
az ml batch-endpoint delete --name <ENDPOINT_NAME> --yes

Reference - https://learn.microsoft.com/en-us/cli/azure/ml/online-endpoint?view=azure-cli-latest#az-ml-online-endpoint-delete

UI

Please click on the name of endpoint. It should show delete option to delete the endpoint as TP suggested.

SDK

For Real time

from azure.ai.ml import MLClient
from azure.identity import DefaultAzureCredential
# authenticate
credential = DefaultAzureCredential()
# Get a handle to the workspace
ml_client = MLClient(
    credential=credential,
    subscription_id="<SUBSCRIPTION_ID>",
    resource_group_name="<RESOURCE_GROUP>",
    workspace_name="<AML_WORKSPACE_NAME>",
)

ml_client.online_endpoints.begin_delete(name=online_endpoint_name).result()

For Batch endpoint

ml_client.batch_endpoints.begin_delete("<ENDPOINT_NAME>").result()

https://learn.microsoft.com/en-us/azure/machine-learning/tutorial-deploy-model?view=azureml-api-2#delete-the-old-deployment

Please accept this answer if above pointers helps address the issue.

Thank you.

Answer 2

Hi Agnes,

If you click on the endpoint name it should take you to a screen with Delete button at the top. Click Delete, click to confirm, and it should start deleting endpoint. Repeat steps for the other endpoint.

Please click Accept Answer and upvote if the above was helpful.

Thanks.

-TP

Answer 3

To clean up the endpoints created during the exercise when there is no Delete button in the UI, delete them using the supported command-line or SDK methods.

For Azure Machine Learning batch endpoints, use one of the following:

Azure CLI

az ml batch-endpoint delete --name <ENDPOINT_NAME> --yes

Run this once for each endpoint that needs to be removed.

Python SDK

ml_client.batch_endpoints.begin_delete("<ENDPOINT_NAME>").result()

Again, call this for each endpoint to be deleted.

These commands delete the batch endpoint and all underlying deployments, but they do not delete any batch scoring jobs that were already created.

---

References:

• Deploy MLflow models in batch deployments in Azure Machine Learning