Problem at using the authentication key for consuming an endpoint for Azure ML

Question

Hello! I'm an absolute beginner on how to use endpoints from Azure ML Studio. I've basically integrated the example code for consuming the endpoint at the Consume tab. So I'm replacing the apiKey with the primary key provided just above, at the section called "Basic consumption info". Nevertheless, when I try to call the endpoint it ends in a 403 forbidden access error. What am I doing wrong?

// Replace this with the primary/secondary key, AMLToken, or Microsoft Entra ID token for the endpoint
const apiKey = "MY_PRIMARY_KEY";
if (!apiKey)
{
	throw new Exception("A key should be provided to invoke the endpoint");
}
requestHeaders.append("Authorization", "Bearer " + apiKey)

Answer 1

Hello Victor Mercado,

Welcome to Microsoft Q&A!

Please kindly note that the 403 Forbidden error usually indicates an issue with permissions or authentication. Here are some things you can verify:

1. Ensure that the apiKey you are using is correct and has not expired. Double-check that you are using the primary key provided in the “Basic consumption info” section.
2. Verify that the identity you are using has the necessary permissions to access the endpoint. You might need specific roles or permissions assigned to your Azure ML instance.
3. If your Azure ML workspace is configured with a private endpoint, ensure that your network settings are correctly configured. This includes DNS settings and virtual network configurations: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-secure-connection-workspace?view=azureml-api-2

Here’s a revised version of your code snippet with a slight adjustment to the authorization header:

// Replace this with the primary/secondary key, AMLToken, or Microsoft Entra ID token for the endpoint
const apiKey = "MY_PRIMARY_KEY";
if (!apiKey) {
    throw new Exception("A key should be provided to invoke the endpoint");
}
requestHeaders.append("Authorization", `Bearer ${apiKey}`);

If the issue persists, consider reaching out to Azure Support for further assistance.

Best Regards,

Gao.

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