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Explanation: Only visible for TestSimulate members. You can sign-up / login (it's free).

Explanation:

The completed mapping shown in the answer area is correct. The case is framed around this condition: you have a power bi semantic model that contains two tables named dim location and fact deliveries. the relationships between the tables are configured as shown in the following table. Cardinality describes uniqueness on each side of a relationship; cross-filter direction controls how filters travel. Both settings must match the model grain or totals and security filtering can become unreliable. This directly matches the current study-guide objective " Define a relationship ' s cardinality and cross-filter direction " . The opposite cardinality or unnecessary bidirectional filtering can duplicate results, block propagation, or create ambiguity rather than solve the stated model path.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop- relationships-understand | PL-300 objective: " Define a relationship ' s cardinality and cross-filter direction "
| Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

Explanation:

What determines the answer is the need to use Power Query Editor to combine the products from Table1 and Table2 into the following table that has one column containing no duplicate values. The selections in the retained answer exhibit are the verified configuration. The M transformation belongs in the query pipeline, where source values can be cleaned, split, filled, renamed, or typed consistently. A report visual or DAX measure would operate too late in the process. A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded. The current PL-
300 study guide places this under the objective " Create and transform columns " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | PL-300 objective: " Create and transform columns " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications
/resources/study-guides/pl-300

Explanation:

Read the completed answer mapping as import the data into Power BI Desktop, create the role definition, publish the model, and assign users to the role in the service. The key constraint is to restrict access to individual rows of the data on a per region-basis by using roles. Workspace access is role based. Viewer is read-only, Contributor can create and publish content, Member adds broader collaboration rights, and Admin can manage the workspace and its users. This directly matches the current study-guide objective " Assign workspace roles " . A broader role would grant unnecessary authoring or administration, while Viewer cannot create or publish workspace content.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/collaborate-share/service-roles-new- workspaces | PL-300 objective: " Assign workspace roles " | Study guide: https://learn.microsoft.com/en-us
/credentials/certifications/resources/study-guides/pl-300

Explanation:

What determines the answer is the need to use data profiling feature in Power Query to preview the date and identify the issues. The selections in the retained answer exhibit are the verified configuration. Column profile and column distribution expose value frequency, distinct and unique counts, errors, empty values, and statistics for the selected field. Those diagnostics answer a data-quality question without changing the source values. A transformation that replaces, removes, or filters values would change the data before the analyst has quantified the problem; profiling is the diagnostic step. The current PL-300 study guide places this under the objective " Resolve data import errors " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/data-profiling-tools | PL-300 objective: " Resolve data import errors " | Study guide: https://learn.microsoft.com/en-us/credentials
/certifications/resources/study-guides/pl-300

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Explanation:

What determines the answer is the need to create a solution to meet the notification requirements of the warehouse shipping department. The selections in the retained answer exhibit are the verified configuration.
Power BI workspace roles separate viewing, authoring, publishing, and administration. The correct assignment follows least privilege: give the user the capability stated in the scenario without also granting content or access-management rights. A broader role would grant unnecessary authoring or administration, while Viewer cannot create or publish workspace content. The current PL-300 study guide places this under the objective " Assign workspace roles " . 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/collaborate-share/service-roles-new- workspaces | PL-300 objective: " Assign workspace roles " | Study guide: https://learn.microsoft.com/en-us
/credentials/certifications/resources/study-guides/pl-300

Explanation: Only visible for TestSimulate members. You can sign-up / login (it's free).

Explanation:

The required outcome is to shape the data to display a single combination of ProductCategory and ProductID on each row. The completed mapping shown in the answer area is correct. A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded. Power Query should resolve this requirement before the data enters the semantic model. The chosen transformation preserves the required rows and grain while converting the source layout into an analysis-ready table. The current skills outline describes this competency as " Convert semi-structured data to a table " . This keeps the query output reproducible at refresh and leaves the semantic model with the grain and schema required by the report.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | PL-300 objective: " Convert semi-structured data to a table " | Study guide: https://learn.microsoft.com/en-us/credentials
/certifications/resources/study-guides/pl-300

Explanation: Only visible for TestSimulate members. You can sign-up / login (it's free).

Explanation: Only visible for TestSimulate members. You can sign-up / login (it's free).