Exam PL-300 topic 1 question 34 discussion

I think it is B because this link - has this point - Select Get Data > Online Services, Azure DevOps (Boards only) for cloud services or select Azure DevOps Server (Boards only) for on-premises. Then select Connect. Analytics views only support queries against work items and test cases. I am assuming this is about DevOps on the cloud

D. OData Feed Azure DevOps Analytics views expose data through OData feeds. Using the OData Feed connector allows Power BI to pull data from Azure DevOps Analytics while leveraging its built-in filtering capabilities. Why not the other options? A. OData Queries: While this is a generic term, Power BI uses the "OData Feed" connector to interact with OData sources. B. Azure DevOps (Boards only): This connector is designed specifically for Azure Boards data but doesn't support Analytics views or advanced filtering. C. Azure DevOps Server (Boards only): This connector is for on-premises Azure DevOps Server and not the cloud version.

B in my opinion

B in my opinion

Analytics views only support Azure Boards data : https://learn.microsoft.com/en-us/azure/devops/report/powerbi/data-connector-connect?view=azure-devops

The answer is B. In the microsoft documentations is explained. https://learn.microsoft.com/en-us/azure/devops/report/powerbi/create-quick-report?view=azure-devops

So I checked the Microsoft documentation again. They specifically recommend OData queries to load the Analytics data into Power BI out of the three available methods (OData Query, OData Feed, Azure DevOps). You can find the information here: https://learn.microsoft.com/en-us/azure/devops/report/powerbi/overview?view=azure-devops

It's not OData Feed because it is not a good option to filter the data, which is one of the requirements in the question. I found this on the Learn Microsoft site: The method demonstrated in this article works for small organizations, because it always pulls in all the data into Power BI. Most of the filtering that's specified in the Power Query Editor is done client-side. For information about other approaches, see Power BI integration Overview.

It is B. This is the learn.microsoft documentation about it: https://learn.microsoft.com/en-us/azure/devops/report/powerbi/create-quick-report? view=azure-devops Connect to an Analytics view 4.Select Get Data > Online Services, then select Azure DevOps (Boards only) for cloud services or select Azure DevOps Server (Boards only) for on-premises. Select Connect. Analytics views only support queries against work items and test cases.

OData queries allow Power BI to connect to Analytics views in Azure DevOps and filter data from the cloud. OData Feed is another term used for the OData connector that can pull data from cloud services, including Azure DevOps Analytics. but requires manual setup compared to OData queries here Options B and C are for Boards only, which does not meet the requirement for using Analytics views. Option D is more general and less specific to Azure DevOps Analytics.

the example used in this learn article is exactly the same as the question. https://learn.microsoft.com/en-us/azure/devops/report/powerbi/create-quick-report?view=azure-devops check below a section from the article on learn : With Power BI Desktop, you can easily connect to an Analytics view to start creating reports for your project in Azure DevOps. An Analytics view provides a simplified way to specify the filter criteria for a Power BI report based on Analytics data. Important Analytics views only support Azure Boards data (work items).

https://learn.microsoft.com/en-us/azure/devops/report/powerbi/data-connector-connect?view=azure-devops

To create a bug tracking dashboard in Power BI that pulls data from Analytics in Azure DevOps, you should use the OData Feed connector. Here's why: Use Analytics Views: Analytics in Azure DevOps provides data through OData endpoints. The OData Feed connector allows Power BI to access these endpoints and utilize Analytics views. Filter Data from the Cloud: The OData Feed connector supports querying and filtering data directly from the cloud source, reducing the amount of data imported into Power BI.

Use Analytics Views: Analytics views in Azure DevOps are exposed via OData, which allows querying data from the cloud using structured formats. The OData Feed connector in Power BI is designed to connect to OData endpoints, such as Azure DevOps Analytics views. Filter Data from the Cloud: The OData Feed connector allows you to apply filters and queries to fetch only the required data from Azure DevOps in the cloud.

To meet the requirements of using Analytics views and filtering data from the cloud, you should use the **Azure DevOps (Boards only)** connector. This connector is specifically designed to work with Analytics views in Azure DevOps and supports cloud-based data filtering (https://learn.microsoft.com/en-us/azure/devops/report/powerbi/data-connector-connect?view=azure-devops).

A over D because it is odata querie is more streamilned and efficent

https://learn.microsoft.com/en-us/azure/devops/report/powerbi/data-connector-connect?view=azure-devops