Microsoft DP-600 Exam Practice Questions (P. 5)

GPT-4o - Answer

To implement a solution that enables users to create and manage custom Direct Lake semantic models through external tools while maintaining least privilege, consider enabling XMLA Endpoints and setting them to Read . Write, which is essential for allowing these tools to interact fully with the data models. This also allows tools to publish and manage these models securely. Additionally, modifying tenant settings to allow for XMLA interaction and editing within the Fabric service involves essential configurations that support external analytical operations without compromising security. This configuration is aligned with the recommended settings to offer controlled, yet functional access.

GPT-4o - Answer

When working with the Tabular Model Definition Language (TMDL) in Microsoft Visual Studio Code for modifications to a semantic model in Power BI Desktop, saving the model as a PBIX file is the appropriate format. PBIX files encompass the full specifications of your Power BI report and dataset which is essential when intending to persist changes or perform extensive model updates using TMDL. Though there might be confusion about other formats such as PBIP, for the direct usage of TMDL codes and integrating bulk changes, the PBIX format remains most effective and compatible.

GPT-4o - Answer

Correctly assigning access levels to developers in a Microsoft Power BI deployment pipeline setup requires a focused understanding of permissions relative to workspace exposure and deployment capabilities. Specifically, developers should be granted Contributor access to Development and Test workspaces (E) to enable deployment activities in these less critical environments, aligning with their roles. For the Production workspace, however, granting them Viewer access (D) is essential—it allows necessary visibility without the ability to deploy or alter the production environment, maintaining strict control over deployment integrity. This setup correctly implements the principle of least privilege by carefully delineating permissions without overextending access, which is crucial for maintaining both security and operational functionality.

GPT-4o - Answer

The correct answers, Automatic Aggregation and OneLake integration, synergistically reduce query execution time for large datasets in DirectQuery mode. Automatic Aggregation leverages machine learning to optimize data retrieval based on usage patterns, whilst OneLake integration reduces the load by managing dataset federations effectively. Both features ensure that your Visuals render faster by intelligently managing how data queries are executed and processed. These integrations facilitate quicker insights, enhancing the user experience by speeding up data interaction in complex reports.