In the AI Fundamentals, Explore Machine Learning Exercise, I am failing to deploy the Model

Question

In the AI Fundamentals, Explore Machine Learning Exercise, I am failing to deploy the Model

Michael Read 0 Microsoft Employee

The instructions (https://microsoftlearning.github.io/mslearn-ai-fundamentals/Instructions/Labs/01-machine-learning.html#deploy-and-test-the-model) say to deploy the model using Standard_DS3_v3 VM types. However I cannot do this because there is not enough quota:

Not enough quota available for Standard_D2as_v4. Current usage/limit: 0/6. Additional requested: 8 (20% more quota than expected may be needed for redundancy purposes on some SKUs)

I tried with a different VM type that was within the quota - Standard_E2s_v3. However this deployment fails with the following errors:

{"code":"SubscriptionNotRegistered","message":"Resource provider [N/A] isn't registered with Subscription [N/A]. Please see troubleshooting guide, available here: https://aka.ms/register-resource-provider","details":[],"additionalInfo":[]}

{"code":"DeploymentFailed","target":"/subscriptions/a3603c6f-eb78-421b-abe8-956a79eae2f9/resourceGroups/ML-take-2/providers/Microsoft.Resources/deployments/c84c98ad-0c46-40ec-b55e-4b078570f4ef","message":"At least one resource deployment operation failed. Please list deployment operations for details. Please see https://aka.ms/arm-deployment-operations for usage details.","details":[{"code":"ResourceDeploymentFailure","target":"/subscriptions/a3603c6f-eb78-421b-abe8-956a79eae2f9/resourceGroups/ML-take-2/providers/Microsoft.MachineLearningServices/workspaces/ml-take-two-ws/onlineEndpoints/ml-take-two-ws-xqjkf","message":"The resource write operation failed to complete successfully, because it reached terminal provisioning state 'Failed'."}]}

kothapally Snigdha 2,100 Reputation points Microsoft External Staff

2024-11-25T23:12:18.6333333+00:00
Hi Michael Read

Greetings & Welcome to Microsoft Q&A forum! Thanks for posting your query!

I understand that you are experiencing an issue with deploying your model in Azure Machine Learning stem from two main problems: insufficient quota for the desired VM type and an unregistered resource provider for the alternative VM type you attempted to use

As You mentioned that there is not enough quota available for the Standard_D2as_v4 VM type, with a current usage of 0 out of 6 and a request for 8 instances. This indicates that your subscription has a limit on the number of instances you can deploy, which is common in Azure subscriptions. To resolve this.

When you tried deploying with Standard_E2s_v3, you encountered errors indicating that the resource provider is not registered with your subscription. This can happen if:

The error message you received also indicates that at least one resource deployment operation failed, reaching a terminal state of 'Failed'. This could be due to the unregistered resource provider or other configuration issues. After registering the provider, try redeploying.

You need to register the resource provider associated with Azure Machine Learning services. To do this:

Navigate to the Azure portal.

Go to "Subscriptions", select your subscription, and then click on "Resource providers" Look for Microsoft. Machine Learning Services and click on "Register".⁠

The error message you received also indicates that at least one resource deployment operation failed, reaching a terminal state of 'Failed'. This could be due to the unregistered resource provider or other configuration issues. After registering the provider, try redeploying.

Kindly let us know if the above helps or you need further assistance on this issue.

Thanks,

Snigdha.
Michael Read 0 Reputation points Microsoft Employee

2024-11-26T16:02:30.5433333+00:00

Hi Snigdha, thanks for your response.

I checked the Resource Providers in my subscription, and Microsoft.MachineLearningServices was already marked as Registered.

Do you have any other suggestions? Please let me know if I can send you any more information.

Also in your reply above, in the paragraph about quota, it looks like you didn't complete the final sentence. Is there anything I could do to resolve this?

Thanks for your help with this.
kothapally Snigdha 2,100 Reputation points Microsoft External Staff

2024-11-29T17:31:32.07+00:00

Hi Michael Read

Please ensure that your subscription has sufficient quota for the resources you're trying to deploy, including the quota for the specific VM family you intend to use (e.g., Standard_E2s_v3). If both Standard_DS3_v3 and Standard_E2s_v3 are unavailable, we recommend checking other VM SKUs that are supported and fall within your quota limits. Alternatively, you can consider using other VM options such as Standard_D3_v2, Standard_D4_v2, or similar configurations."

Thank you!
kothapally Snigdha 2,100 Reputation points Microsoft External Staff

2024-12-02T00:21:15.79+00:00

Hi Michael Read

following up to see if the above response was helpful.
kothapally Snigdha 2,100 Reputation points Microsoft External Staff

2024-12-03T02:29:12.2+00:00

Hi Michael Read

We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet. In case if you have any resolution, please do share that same with the community as it can be helpful to others. Otherwise, will respond with more details and we will try to help.

Your answer

kothapally Snigdha 2,100 Reputation points Microsoft External Staff

2024-11-25T23:12:18.6333333+00:00

Hi Michael Read

Greetings & Welcome to Microsoft Q&A forum! Thanks for posting your query!

I understand that you are experiencing an issue with deploying your model in Azure Machine Learning stem from two main problems: insufficient quota for the desired VM type and an unregistered resource provider for the alternative VM type you attempted to use

As You mentioned that there is not enough quota available for the Standard_D2as_v4 VM type, with a current usage of 0 out of 6 and a request for 8 instances. This indicates that your subscription has a limit on the number of instances you can deploy, which is common in Azure subscriptions. To resolve this.

When you tried deploying with Standard_E2s_v3, you encountered errors indicating that the resource provider is not registered with your subscription. This can happen if:

The error message you received also indicates that at least one resource deployment operation failed, reaching a terminal state of 'Failed'. This could be due to the unregistered resource provider or other configuration issues. After registering the provider, try redeploying.

You need to register the resource provider associated with Azure Machine Learning services. To do this:

Navigate to the Azure portal.

Go to "Subscriptions", select your subscription, and then click on "Resource providers" Look for Microsoft. Machine Learning Services and click on "Register".⁠

The error message you received also indicates that at least one resource deployment operation failed, reaching a terminal state of 'Failed'. This could be due to the unregistered resource provider or other configuration issues. After registering the provider, try redeploying.

Kindly let us know if the above helps or you need further assistance on this issue.

Thanks,

Snigdha.
Michael Read 0 Reputation points Microsoft Employee

2024-11-26T16:02:30.5433333+00:00

Hi Snigdha, thanks for your response.

I checked the Resource Providers in my subscription, and Microsoft.MachineLearningServices was already marked as Registered.

Do you have any other suggestions? Please let me know if I can send you any more information.

Also in your reply above, in the paragraph about quota, it looks like you didn't complete the final sentence. Is there anything I could do to resolve this?

Thanks for your help with this.
kothapally Snigdha 2,100 Reputation points Microsoft External Staff

2024-11-29T17:31:32.07+00:00

Hi Michael Read

Please ensure that your subscription has sufficient quota for the resources you're trying to deploy, including the quota for the specific VM family you intend to use (e.g., Standard_E2s_v3). If both Standard_DS3_v3 and Standard_E2s_v3 are unavailable, we recommend checking other VM SKUs that are supported and fall within your quota limits. Alternatively, you can consider using other VM options such as Standard_D3_v2, Standard_D4_v2, or similar configurations."

Thank you!
kothapally Snigdha 2,100 Reputation points Microsoft External Staff

2024-12-02T00:21:15.79+00:00

Hi Michael Read

following up to see if the above response was helpful.
kothapally Snigdha 2,100 Reputation points Microsoft External Staff

2024-12-03T02:29:12.2+00:00

Hi Michael Read

We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet. In case if you have any resolution, please do share that same with the community as it can be helpful to others. Otherwise, will respond with more details and we will try to help.

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In the AI Fundamentals, Explore Machine Learning Exercise, I am failing to deploy the Model

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