Check Out the Natural Language Grid and View search


The new Smart Grid Preview feature allows us to find, filter, and sort data with natural language.

To enable it navigate to Environment >> Settings >> Features inside Power Platform Admin Center and turn on Natural Language Grid and View Search.

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After enabling it we will see a search box on the grid page where we can type in questions about our data in plain English.

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Let’s say we need to find “Contacts from the company Contoso”. Normally, this would mean defining the filters/query. But with the Smart Grid’s natural language search, we just type the request, and the system filters the view accordingly.

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The result –

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We can also use it to sort data.

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Another example

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The result –

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Using natural language search has loads of benefits:

  • Ease of Use: Do complex searches without needing to be tech-savvy.
  • Speed: Find what you need quickly without navigating through multiple filters.
  • Accessibility: Makes data interaction easy for everyone, even if you’re not a tech pro.

As it’s still in preview, there are a few things the Smart Grid Preview doesn’t support yet:

  • Query Aggregation
  • Query Grouping
  • Adding Columns

Remember, it’s still a work in progress and not ready for full production use.

Get more details here

Hope it helps ..

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Fixed – MisMatchingOAuthClaims – One or more claims either missing or does not match with the open authentication access control policy error – OAuth Authentication for HTTP Request trigger (Power Automate)ismatch


Recently while trying to invoke the HTTP Request trigger, on passing the token we got the below error from the Postman

{
    "error": {
        "code": "MisMatchingOAuthClaims",
        "message": "One or more claims either missing or does not match with the open authentication access control policy."
    }
}

Turned out that we missed the trailing slash for the resource’s value while generating the token.

Audience values as expected in the claim.

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https://jwt.io/

On correcting the resource value, and using the new generated token,

fixed the mismatch claim issue

Below is our flow

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Refer – https://nishantrana.me/2025/01/28/configure-oauth-authentication-for-http-request-triggers-specific-users-in-my-tenant-power-automate/

Get more details

Hope it helps..

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Configure OAuth authentication for HTTP Request Triggers (Specific users in my tenant) – Power Automate


Below is our final Power Automate Cloud Flow which uses the HTTP request trigger followed by Response action.

The Allows Users = Specific users in my tenant option ensures that only authorized users in the tenant can trigger the flow while leveraging the security provided by Oauth authentication and Azure AD.

Let us first register an App in the Azure AD.

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Go to API Permissions → Add a permission.

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Select User permission.

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Grant admin consent

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Generate and copy the client secret.

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Navigate to Enterprise Applications, search for the app, copy the Object ID of the App, and specify the same for the Allowed users property in the HTTP request trigger.

Now let us use the Postman to generate the token and call the flow. Note down the Application (client) ID and we can either use the v1 or v2 Oauth token endpoint.

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Specify the following values if using the v2 endpoint to generate the token.

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https://login.microsoftonline.com/6b832218-5691-4b15-af03-edbbb67cab56/oauth2/v2.0/token

scope = https://service.flow.microsoft.com//.default

and for v1 token endpoint

https://login.microsoftonline.com/6b832218-5691-4b15-af03-edbbb67cab56/oauth2/token

resource = https://service.flow.microsoft.com/

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Now specify the URL generated for the HTTP Request Trigger, copy the Token generated, and for the body specify the following value expected.

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We can see the response received successfully from the flow.

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Get more details

Also, refer

OAuth Authentication for Power Automate HTTP Request Trigger | Dynamic Bites

https://www.beringer.net/beringerblog/microsoft-power-automate-http-trigger-and-restricting-users/

https://manish-solanki.com/how-to-secure-http-trigger-end-point-for-3rd-party-application/

Hope it helps..

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Fixed – Delete Plugin on Appointment not firing for operation on Recurring Appointment (Dataverse / Dynamics 365)


Recently we observed that our plugin registered on the Delete message of appointment on the PreValidation stage was not getting triggered when we were deleting or updating the occurrence of the Recurring Appointment.

For both of the below operations, our plugin was not getting triggered. The plugin had the logic to delete a few associated records to the appointment record.

Delete operation – This deletes all the existing appointment.

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Recurrence Update –This deletes the existing appointment and creates new appointment records based on the new recurrence.

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On trying out different things, we saw that the plugin was getting triggered if registered on the PreOperation.

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For testing, we registered a sample plugin that throws the InvalidPluginExecutionException and saw it getting triggered in case of PreOpertaion as shown below.

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Hope it helps..

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Configure Case Handling Time widget for the Case form – Dynamics 365 Customer Service


The Case Handling Time widget (preview) can be added to the Case Form, giving a focused way to track case resolution efficiency. By using this feature, we can identify patterns, make informed decisions, and continuously refine processes.

To enable it to navigate to

Customer Service Admin Center >> Customer Support >> Case Settings >> Case handling time (preview)

Update Interval specifies how frequently the handling time widget is refreshed (it also updates the database). Can be between 10 to 60 minutes. The interesting point here is if 2 agents open the same case at the same time, the widget will display 20 minutes, after 10 minutes.

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Next, open the form where we want to add the component, click on Get more components, and search for the Handling Time component to add it.

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Configure the properties for the component –

Table – Time Trackers

View – All Time Trackers

Allow users to add time logs – True / False (enables agents to log time)

Show users only their contributed time – True / False (specifies whether an agent can only see their time or time entered by other agents also for that case)

Allow users to edit their automatic time tracked – True / False (specifies if an agent can edit automatic time tracked).

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Save and publish the changes.

We can see the Handling Time widget at the bottom right corner in the minimized state on the form.

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On maximizing it after some time, we can see the following details there.

Automatic Time Tracking, Manual Time Tracking, History section.

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Checking My Time shows the Live time spent by that particular agent.

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Clicking on the plus button allows us to add manual Time log records.

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If there is a second user who opens the form, the automatic time tracking shows the values applied to that user.

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Get more information

Hope it helps..

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Fixed – The method ‘GroupJoin’ cannot follow the method ‘SelectMany’ or is not supported while using LINQ query (Dataverse / Dynamics 365)


We might get the below error while using LINQ to query Dataverse –

System.NotSupportedException: ‘The method ‘GroupJoin’ cannot follow the method ‘SelectMany’ or is not supported. Try writing the query in terms of supported methods or call the ‘AsEnumerable’ or ‘ToList’ method before calling unsupported methods.’

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This error occurs because the GroupJoin method, which is essentially what happens during the into … syntax in LINQ, is not supported in the Dataverse/LINQ provider for Dynamics CRM. The issue is related to how the LINQ provider translates queries into FetchXML or SQL that the Dataverse understands. Specifically, nested joins or SelectMany (used by DefaultIfEmpty() in left joins) are not fully supported by the LINQ provider for Dataverse.

The GroupJoin and DefaultIfEmpty methods (used for left joins) result in queries that cannot be translated directly into FetchXML. The LINQ provider for Dataverse does not support all LINQ-to-Entities features, such as nested joins or advanced grouping logic. When you perform nested joins with DefaultIfEmpty() for left joins, the LINQ provider struggles to translate it into the underlying Dataverse query format, which is why the exception is thrown.

To fix it we can break the query into multiple steps as shown below.

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However, here as we are fetching partial data into memory and combining it, it increases transfer and processing overhead and can take a long time to process based on the number of records.

The better alternative from a performance perspective would be to use FetchXML or QueryExpression here.

Also check writing complex LINQ queries

Hope it helps..

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