Exam DP-100 topic 2 question 92 discussion

B is the correct answer

Link: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-manage-environments-v2?view=azureml-api-2&tabs=python#create-an-environment-from-a-docker-image Code: env_docker_image = Environment( image="pytorch/pytorch:latest", name="docker-image-example", description="Environment created from a Docker image.", ) ml_client.environments.create_or_update(env_docker_image)

For environments, only description and tags can be updated. All other properties are immutable; if you need to change any of those properties you should create a new version of the environment. https://learn.microsoft.com/en-us/azure/machine-learning/how-to-manage-environments-v2?view=azureml-api-2&tabs=python

B is the correct answer

Since the environment already uses a Docker image, the proper way to update to the latest image version is to call the create_or_update() method on that environment configuration object. This allows changing the image tag/version to point to the new Docker image. Please change the answer to C it's misleading.

On exam 18 Aug 2023

We set the image in the Environment class as follows from azure.ai.ml.entities import Environment env_docker_image = Environment( image="mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04", name="aml-docker-image-example", description="Environment created from a Azure ML Docker image.", ) ml_client.environments.create_or_update(env_docker_image)

Correct. You need to create a new version using the Environment class. env_docker_image = Environment( image="pytorch/pytorch:latest", name="docker-image-example", description="Environment created from a Docker image.", ) ml_client.environments.create_or_update(env_docker_image)

B looks correct

B. Use the Environment class to create a new version of the environment. To update the Docker image, you can create a new version of the environment by using the Environment class provided by the Azure Machine Learning SDK. You can update the Docker image reference in the environment's Docker section to use the latest version.