i am facing issue while accessing workspace in azure ML studio

Question

i am facing issue while accessing workspace in azure ML studio

Chaitanya Vedpathak 0

Hi, i am facing below issue while accessing workspace in azure ML studio
can you please help ?

Error loading workspace Your request for data was not sent. Here are some things to try: Check your network and internet connection, make sure a proxy server is not blocking your connection, check if you have an ad blocker turned on. Trace ID : da52d6b7-1704-4f86-87e3-8e8348fadbceClient request ID : 1dbdceaf-51f8-43c7-81a1-2247fac058f2

Note: I'm able to access the workspace earlier but from yesterday, I was unable to access this. Kindly assist.

Sridhar M 2,995 Reputation points Microsoft External Staff Moderator

2025-12-11T19:54:37.37+00:00
Hi Chaitanya Vedpathak

Welcome to Microsoft Q&A and Thank you for reaching out.

The error “Your request for data was not sent” in Azure Machine Learning Studio usually indicates a connectivity or configuration issue rather than a workspace-level problem. Since you were able to access it earlier and it stopped working yesterday, here are the most common causes and fixes:

Step 1: Check Network & Browser Settings

Ensure your internet connection is stable.

If you are behind a corporate proxy or VPN, try disabling it temporarily or whitelist the following domains:

*.azureml.ms

*.azure.com

login.microsoftonline.com

Disable ad blockers or browser extensions that might block scripts.

Step 2:Clear Cache & Try Incognito

Clear browser cache and cookies.

Open Azure ML Studio in an Incognito/Private window or try a different browser (Edge or Chrome recommended).

Step 3: Verify Azure Service Health

Go to https://status.azure.com/ and check if there are any outages in your region for Machine Learning or Storage services.

Step 4: Check Workspace Access & Role

Confirm that your Azure AD account still has access to the workspace.

Navigate to Azure Portal → Machine Learning Workspace → Access Control (IAM) and verify your role (Contributor or Owner).

Step 5: Disable Conditional Access / MFA Issues

If your organization enforces Conditional Access policies, ensure they are not blocking ML Studio.

Sometimes MFA or expired tokens can cause this issue—sign out and sign back in.

Step 6: Try Direct URL

Instead of the portal, try accessing ML Studio directly:

https://ml.azure.com

Step 7: Collect Logs

Open Developer Tools (F12) in your browser → Network tab → Reload ML Studio.

Check if any requests are failing (403, 401, or CORS errors).

This can help identify if it’s a token issue or network block.

Reference Documentation:

How to Handle Studio Access Issues and Connection Errors

Troubleshoot Issues with Browsing to Azure Machine Learning Studio

Azure Service Status

Run Workspace Diagnostics

Secure Azure Machine Learning Workspace Resources Using Virtual Networks

I Hope this helps. Do let me know if you have any further queries.

Thank you!
Sridhar M 2,995 Reputation points Microsoft External Staff Moderator

2025-12-12T16:57:19.2833333+00:00

Hi Chaitanya Vedpathak

Did you get any chance to review the above response. Thank you!

1 answer

Your answer

Sridhar M 2,995 Reputation points Microsoft External Staff Moderator

2025-12-12T16:57:19.2833333+00:00

Hi Chaitanya Vedpathak

Did you get any chance to review the above response. Thank you!

Answer 1

It seems you are encountering issues accessing your Azure Machine Learning workspace, which may be related to network connectivity or configuration problems. Here are some steps you can take to troubleshoot the issue:

Check Network and Internet Connection: Ensure that your internet connection is stable and functioning properly.
Proxy Server: If you are using a proxy server, verify that it is not blocking your connection to Azure ML Studio. You may need to adjust your proxy settings or consult your network administrator.
Ad Blocker: If you have an ad blocker enabled, try disabling it temporarily to see if it resolves the issue.
Browser Compatibility: Make sure you are using a supported browser. The recommended browsers are the latest versions of Microsoft Edge, Chrome, Firefox, and Safari.
Clear Browser Cache: Sometimes, clearing your browser's cache can help resolve loading issues.
Try Different Browsers: If the problem persists, try accessing the workspace using a different browser to rule out browser-specific issues.
Workspace Diagnostics: You can run diagnostics on your workspace to identify any configuration problems. This can be done from Azure Machine Learning studio or using the Python SDK.

If none of these steps resolve the issue, consider reaching out to Azure support for further assistance.

References:

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i am facing issue while accessing workspace in azure ML studio

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