Exam DP-600 topic 1 question 21 discussion

D - The XMLA endpoint needs to be enabled from the capacity settings as it is crucial for allowing external tools to only read, but also, publish and manage custom Direct Lake semantic models. A - Again from Tenant settings, we need to enable XMLA endpoints ; This is to ensure that external tools interact with the data models as and when necessary within the tenant's workspace ; The analyze in excel is just complimentary to this setting in Fabric and is irrelevant E - Sets appropriate permissions to users by allowing them to edit models and publish them as when required abiding by the principle of least privilege. B&C have concerns with the principle of least privilege and security concerns while publishing to the Web

A. Enabling XMLA Endpoints is crucial because it allows external tools (like SQL Server Management Studio, Tabular Editor, or any other tool that can connect via XMLA) to connect to Power BI datasets. This is essential for users who need to create, modify, or manage semantic models using these external tools. D. Setting the XMLA Endpoint to Read Write allows users not only to read the data from the Power BI service but also to write back to it. This is necessary for users to create and publish custom Direct Lake semantic models. Without write access, users would be unable to publish or update their models, which is a critical part of managing semantic models. E. Enabling users to create Fabric items is essential because it allows users to create new Power BI datasets, dataflows, and other necessary components within the workspace.

D - The XMLA endpoint needs to be enabled from the capacity settings as it is crucial for allowing external tools to only read, but also, publish and manage custom Direct Lake semantic models.

ADE is the answer

A- From tenant settings, setting allow XMLA endpoints and Analyze in excel with on-premises datasets to enabled D- From capacity settings, set XMLA endpoint to ReadWrite E- From Tenant settings, setUsers can create fabric items within workspace

C is not correct for those voting for it. Below is the (verbatim) description for the "Users can edit data models in the Power BI service (preview)" Tenant setting in the Admin portal. "Turn on this setting to allow users to edit data models in the service. This setting DOESN'T apply to DirectLake semantic models or editing a semantic model through an API or XMLA endpoint." More information on that Tenant setting from the link below .... https://learn.microsoft.com/en-us/power-bi/transform-model/service-edit-data-models#enabling-data-model-editing-in-the-admin-portal

C is wrong for 2 reasons, this setting is not in the tenant, it is in workspace settings. The second reason is that this feature is still in preview till date of my comment.

ADE OPTION C should not be consider as : Users can edit data models in the Power BI service (preview) Enabled for the entire organization Turn on this setting to allow users to edit data models in the service. This setting doesn't apply to DirectLake semantic models or editing a semantic model through an API or XMLA endpoint.

ADE B. From the Tenant settings, set Allow Azure Active Directory guest users to access Microsoft Fabric to Enabled. This focuses on external user access, which might not be necessary for your scenario. C. From the Tenant settings, select Users can edit data model in the Power BI service. This primarily affects in-browser editing of Power BI models and is less relevant to creating custom models with external tools. F. From the Tenant settings, enable Publish to Web. This is unrelated to external tool development and is concerned with sharing Power BI reports publicly.

A -> D -> E

A. From the Tenant settings, set Allow XMLA Endpoints and Analyze in Excel with on-premises datasets to Enabled (https://learn.microsoft.com/en-us/fabric/admin/service-admin-portal-integration) . C. From the Tenant settings, select Users can edit data model in the Power BI service (https://learn.microsoft.com/en-us/fabric/admin/service-admin-portal-data-model) . D. From the Capacity settings, set XMLA Endpoint to Read Write (https://learn.microsoft.com/en-us/power-bi/enterprise/service-premium-connect-tools) .

AD for sure https://learn.microsoft.com/en-us/power-bi/enterprise/service-premium-connect-tools#security

A Allow XMLA Endpoints and Analyze in Excel with on-premises datasets: From the Tenant settings, set Allow XMLA Endpoints and Analyze in Excel with on-premises datasets to Enabled. This allows users to interact with the dataset via XMLA endpoints and analyze data using Excel. D. Set XMLA Endpoint to Read Write: In the Capacity settings, configure the XMLA Endpoint to Read Write. This ensures that users have the necessary permissions to create and modify semantic models through external tools. E Enable Users to Create Fabric Items: From the Tenant settings, set Users can create Fabric items to Enabled. This grants users the ability to create custom semantic models within the Fabric workspace.

sraakesh95 Highly Voted 1 month, 3 weeks ago D - The XMLA endpoint needs to be enabled from the capacity settings as it is crucial for allowing external tools to only read, but also, publish and manage custom Direct Lake semantic models. A - Again from Tenant settings, we need to enable XMLA endpoints ; This is to ensure that external tools interact with the data models as and when necessary within the tenant's workspace ; The analyze in excel is just complimentary to this setting in Fabric and is irrelevant E - Sets appropriate permissions to users by allowing them to edit models and publish them as when required abiding by the principle of least privilege. B&C have concerns with the principle of least privilege and security concerns while publishing to the Web upvoted 8 times JUST TO VOTE GUYS

Not C : https://learn.microsoft.com/en-us/power-bi/transform-model/service-edit-data-models#enabling-data-model-editing-in-the-admin-portal

ADE seems most appropriate

Most probably ADE, I put E because users have the necessary permissions to create custom Direct Lake semantic models within the Fabric workspace.