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| Section | Weight | Objectives |
|---|---|---|
| Visualize and analyze data | 25-35% | - Create reports and dashboards
|
| Deploy and maintain assets | 15-20% | - Manage workspaces and datasets
|
| Model the data | 30-40% | - Design a data model
|
| Prepare the data | 15-20% | - Clean, transform, and load data
|
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NEW QUESTION # 439
You need to create a visualization to meet the reporting requirements of the sales managers.
HOW Should create the Visualization? TO answer, select the appropriate options in the answer area.
Answer:
Explanation:
See the explanation for answer.
Explanation:
Answer is as below:
NEW QUESTION # 440
How should you distribute the reports to the board? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 441
In Power Query Editor, you have a query named Sales Data that contains the following columns.
You need to create two queries named Product Dimension and Sales Fact based on the Sales Data query. The solution must minimize maintenance effort and the site of the semantic model.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE Each correct selection is worth one point.
Answer: B,C
Explanation:
This is a shaping operation in Power Query. Performing it in the applied steps produces correctly typed, named, and structured columns before loading, which keeps report and model logic focused on analysis. The verified answers are B (Reference the Sales Data query to create the new queries); D (Disable the load for the sales Data query). The technical decision turns on how to create two queries named Product Dimension and Sales Fact based on the Sales Data query. The solution must minimize maintenance effort and the site of the semantic model. A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded. This rationale is anchored to the PL-300 objective " Create fact tables and dimension tables " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | PL-300 objective: " Create fact tables and dimension tables " | Study guide: https://learn.microsoft.com/en-us/credentials
/certifications/resources/study-guides/pl-300
NEW QUESTION # 442
You have four sales regions. Each region has multiple sales managers.
You implement row-level security (RLS) in a data model. You assign the relevant distribution lists to each role.
You have sales reports that enable analysis by region. The sales managers can view the sales records of their region. The sales managers are prevented from viewing records from other regions.
A sales manager changes to a different region.
You need to ensure that the sales manager can see the correct sales data.
What should you do?
Answer: C
Explanation:
The supported selection is D (Request that the sales manager be added to the correct Azure Active Directory group). The required outcome is to ensure that the sales manager can see the correct sales data. Report filters and hidden visuals are not security controls because users can still query rows available to the semantic model. 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. In Microsoft ' s current exam outline, the corresponding objective is " Implement row-level security 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/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
NEW QUESTION # 443
You are preparing a financial report in Power BI.
You connect to the data stored in a Microsoft Excel spreadsheet by using Power Query Editor as shown in the following exhibit.
You need to prepare the data to support the following:
Visualizations that include all measures in the data over time
Year-over-year calculations for all the measures
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
The completed mapping shown in the answer area is correct. The scenario is asking for a way to prepare the data to support the following: Visualizations that include all measures in the data over time Year-over-year calculations for all the measures. Unpivot converts repeated columns into Attribute and Value rows while preserving the identifier columns. This normalizes a wide source so one measure column can be filtered, grouped, and charted consistently. This directly matches the current study-guide objective " Select appropriate column data types " . Pivoting makes a table wider, while unpivoting converts repeated period or category columns into attribute-value rows that visuals can aggregate consistently.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/unpivot-column | PL-300 objective: " Select appropriate column data types " | Study guide: https://learn.microsoft.com/en-us
/credentials/certifications/resources/study-guides/pl-300
NEW QUESTION # 444
......
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