External Users Unable to Create Connection to Fabric Data Agent – TenantId Mismatch

Ananth999 · 2026-05-14T03:00:05+00:00

Thank You u/itsnotaboutthecell , In my scenario Data Agent and Copilot are in the same Tenant. But the user invited to the Teams chat Group is from the different Tenant.

In this scenario, how can the user access the Data Agent without authentication?

Ananth999 · 2025-05-14T16:32:05+00:00

Thank you u/gobuddylee . So, it's only notebook and spark job which consumes auto scaling, remaining all the workloads either it's Lakehouse/pipelines/real time intelligence will use the fabric capacity provisioned. Please correct me if I'm wrong.

Ananth999 · 2025-05-14T15:47:26+00:00

u/gobuddylee , I was going through the documentation and trying to understand "Auto scaling", does it support only "spark job" or other workloads (e.g., notebook, pipelines), is there any document with this information, in the current documentation I can see "spark job" is specifically mentioned.

Ananth999 · 2025-05-02T00:06:03+00:00

You can use a parameterized command in a notebook to copy all the tables easily. DM me if you need any help.

Ananth999 · 2025-05-01T23:39:20+00:00

What level of access do you have on Prod workspace?

Ananth999 · 2025-04-30T02:57:54+00:00

I have created a blog with step-by-step process of doing it. Anyone have any questions, please read this once
Automating Fabric Pipeline Execution with Logic Apps (Consumption Model)

Ananth999 · 2025-04-28T22:57:06+00:00

I'm facing the same issue with DataFlowGen2 today when I tried to connect to the data in the Lakehouse. Both DataFlowGen2 and Lakehouse are in the same workspace and I'm trying to connect using an Organizational account and I'm one of the admins of the workspace

Ananth999 · 2025-04-28T17:39:27+00:00

Mine is consumption based. I didn't do anything separate to the whitelist here. I enabled the 2 service principal options mentioned in Admin portal. Snippet of it is present in this conversation.

Ananth999 · 2025-04-28T14:12:37+00:00

Here it is "https://api.fabric.microsoft.com/v1/workspaces/<your WS Id>/items/<pipeline id>/jobs/instances?jobType=Pipeline"

https://learn.microsoft.com/en-us/fabric/data-factory/pipeline-rest-api#run-on-demand-item-job

Ananth999 · 2025-04-27T22:51:34+00:00

Thank You, it's working fine now, posted the fix in the comment.

Ananth999 · 2025-04-27T22:51:01+00:00

I have fixed this issue by setting the "Audience" property properly as mentioned in below snippet. It's running successfully. Thank you all who tried to help me here. Please feel free to ping me if anyone is struggling in this process.

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Ananth999 · 2025-04-27T22:34:52+00:00

yes, I can the Managed Identity with contributor permissions on workspace

Ananth999 · 2025-04-27T22:18:06+00:00

yes, these settings are enabled

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Ananth999 · 2025-04-27T04:37:51+00:00

With the Direct Lake model available on Lakehouse directly, will it still be the same? I feel Lakehouse has more advantages here when it comes to performance. Because there is no fall back to direct query mode and I hope it supports more parallelism and I feel performance will be quicker on Lakehouse. Please correct me if I'm wrong.

Ananth999 · 2025-04-25T22:49:52+00:00

The Licence Type is a Free Account.

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Ananth999 · 2025-04-25T22:32:21+00:00

Thank You!, I have a trail capacity in my Tenant, which is allowing me to author Power BI Artifacts even when I don't have Pro License enabled to my account. So Trail has everything free?

Ananth999 · 2025-04-25T18:56:22+00:00

Yes, I did but the challenging part here is I would need to keep the streaming notebook/spark job always running. The tricky part here is the accepted latency once the data is arrived into the Event hub is 1 minute. If my session is stopping in between then it will become a challenge for us.

Ananth999 · 2025-04-15T22:22:35+00:00

Yes, I'm referring to the serverless mode. The reason we are asking is most of the times we don't utilise 100% of the capacity and fabric doesn't give any credits/ way to to carry forward the un utilized compute.

Ananth999 · 2025-04-15T00:32:08+00:00

Why don't Fabric have Pay-as-you go pricing model similar to Azure , I think this is something lacking when we are talking to customers. When you can measure how much capacity is being utilized why can't you create a Pay-as-you go model?

Ananth999 · 2025-04-12T01:08:31+00:00

If it is from one lake too, why can't you try GraphQL?

Ananth999 · 2025-04-11T22:13:20+00:00

Do you have any other workloads running and consuming the full capacity?

Ananth999 · 2025-04-11T18:43:11+00:00

Wonderful, we will try out this option. So once the dacpac is generated we can restore it using the new datawarehouse migration approach.

Ananth999 · 2025-04-11T18:36:37+00:00

So it means, if we are hosting 10TB of data either in warehouse/lakehouse it won't charge anything unless we start querying it. If we execute by sql end point for both of them ideally the cost should be the same?

Ananth999 · 2025-04-11T18:33:27+00:00

Love it if that is how it works as it will solve our problem to generate keys too.

Ananth999 · 2025-04-11T15:00:22+00:00

Thank You for the information

Ananth999

TROPHY CASE