Microsoft PL-300 Practice Exam Questions & Answers

Row-level security restricts model rows for viewers by applying role filters through active relationships. Role membership belongs in the Power BI service after the role definition is created in the model. Begin with the scenario statement that the solution must ensure that other users see the issues that were raised. The verified answer is B (comments). The relevant current PL-300 study-guide bullet is 'Implement row-level security roles'. Report filters and hidden visuals are not security controls because users can still query rows available to the semantic model. This keeps service access and operational behavior within the scope requested instead of granting or changing unrelated capabilities.

Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/guidance/rls-guidance | PL-300 objective: 'Implement row-level security roles' | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

What determines the answer is the need to enable the finance team to use Microsoft Excel to analyze the Finance semantic model. RLS is enforced in the semantic model rather than by hiding report objects. Filters must be defined on a table that can propagate to the protected fact rows through a valid relationship path. The supported selection is D (Grant the finance team build permissions to the Finance semantic model). Report filters and hidden visuals are not security controls because users can still query rows available to the semantic model. Microsoft lists this skill in the current PL-300 outline as 'Implement row-level security roles'.

Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/guidance/rls-guidance | PL-300 objective: 'Implement row-level security roles' | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

The deciding requirement in this question is to evaluate whether this proposal meets the goal: In the Power Query M code, you replace Reference to the Excel file with DataSourceExcel. A query parameter centralizes a reusable value such as a server, database, path, or filter. Referencing it from each Source step removes duplicated hard-coded values and makes later changes controlled and consistent. The supported answer is A (Yes). The proposal - In the Power Query M code, you replace Reference to the Excel file with DataSourceExcel - delivers the required result. Copying a path into every Source step leaves multiple values to maintain; a report parameter or custom visual does not replace the Power Query source expression. Microsoft lists this skill in the current PL-300 outline as 'Create and modify parameters'.

Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/power-query-query-parameters | PL-300 objective: 'Create and modify parameters' | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

Auto date/time can create a hidden date table for every eligible date column. A single marked date table plus disabling auto date/time reduces those hidden structures while retaining reusable month and quarter attributes. The correct answers are A (Disable the auto date/time option); B (Create a Date table and select Mark as date table). The technical decision turns on how to reduce the size of the data model while maintaining the ability to analyze product sales by month and quarter. Keeping hidden auto date/time tables alongside a marked common Date table adds redundant structures and inconsistent hierarchies. This rationale is anchored to the PL-300 objective 'Create a common date table'.

Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-auto-date-time | PL-300 objective: 'Create a common date table' | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

Import-model reduction should remove unused data, lower avoidable cardinality, or aggregate only to the required analytical grain. The selected change preserves every field, row, and precision requirement stated in the question. The required outcome is to minimize the model size without affecting the analysis. The verified answers are A (Change the data type of the TransactionDate column to Date); C (Remove the PostDate column). The relevant current PL-300 study-guide bullet is 'Improve performance by identifying and removing unnecessary rows and columns'. A proposed optimization is invalid if it drops required columns, removes needed transaction detail, or lowers numeric precision contrary to the scenario.

Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/guidance/import-modeling-data-reduction | PL-300 objective: 'Improve performance by identifying and removing unnecessary rows and columns' | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300