Exam DP-100 topic 2 question 113 discussion

The questions is reference to ml-project workspace. The solutions is only about auth, so the answer is B.

MLClient.from_config() can be used without explicitly providing credentials, as long as your authentication requirements are met in one of the following ways: Default Authentication with Azure CLI Login: If you’ve already authenticated using the Azure CLI (e.g., az login), MLClient.from_config() will use your active Azure CLI session for authentication. This is often convenient for development environments and local testing. Managed Identity (for Azure Compute Resources): If you’re running your code on an Azure resource with a managed identity (like an Azure Virtual Machine, Azure Kubernetes Service, or Azure Machine Learning Compute Instance), the SDK can authenticate using the managed identity associated with that resource. No additional credentials are needed, as long as the managed identity has access to the Azure ML workspace. Environment-Based Authentication: If environment variables for Azure credentials are set (e.g., AZURE_CLIENT_ID, AZURE_TENANT_ID, and AZURE_CLIENT_SECRET for a service principal), MLClient.from_config() will pick up these credentials automatically.

Answer should be Yes, it appeared previously in the exam questions

credential is a required parameter in the from_config method . Link: https://learn.microsoft.com/en-us/python/api/azure-ai-ml/azure.ai.ml.mlclient?view=azure-python#azure-ai-ml-mlclient-from-config

credential-parameter is required

Unsure. The credential parameter is not specified which is mandatory. Otherwise class and method is correct.