No. The only precondition to successfully querying the model serving endpoint was to have stored those secrets ahead of time, using databricks-cli, so I could use them to populate environment variables when configuring the endpoint. See https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/store-env-variable...