To view all of the active MLflow Model Registry Webhooks for a specific model, the machine learning engineer needs to replace POST with GET in the call to http request. This is because the HTTP method for listing webhooks is GET, not POST. The GET method is used to retrieve information from the server, while the POST method is used to send data to the server1. The syntax of the http request function is as follows:

Python

http_request(host_creds, endpoint, method, json=None, headers=None)

AI-generated code. Review and use carefully. More info on FAQ.

The other options are incorrect because:

Option A: There are no necessary changes is incorrect, as the code block will not work with the POST method.

Option B: Replace list with view in the endpoint URL is incorrect, as the endpoint URL for listing webhooks is “/api/2.0/mlflow/registry/webhooks/list?model_name=model”, not “/api/2.0/mlflow/registry/webhooks/view?model_name=model”. There is no view endpoint for webhooks2.

Option D: Replace list with webhooks in the endpoint URL is incorrect, as the endpoint URL for listing webhooks is “/api/2.0/mlflow/registry/webhooks/list?model_name=model”, not “/api/2.0/mlflow/registry/webhooks/webhooks?model_name=model”. The list keyword is required to specify the list operation2.

Option E: Replace POST with PUT in the call to http request is incorrect, as the HTTP method for listing webhooks is GET, not PUT. The PUT method is used to update data on the server, not to retrieve information1. References: HTTP request methods, List webhooks