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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prepare the data | 25-30% | - Profile and clean data
|
| Topic 2: Manage and secure Power BI | 15-20% | - Implement security and governance
|
| Topic 3: Model the data | 25-30% | - Create model calculations
|
| Topic 4: Visualize and analyze data | 25-30% | - Perform data analysis
|
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NEW QUESTION # 226
You need to provide a user with the ability to add members to a workspace. The solution must use the principle of least privilege.
Which role should you assign to the user?
Answer: A
Explanation:
A Member can add members or others with lower permissions.
Note:
NEW QUESTION # 227
You use Power Query Editor to create a query named Products. Products returns the results shown in the following table.
You need to shape the data to display a single combination of ProductCategory and ProductID on each row.
How should you configure the ProductlDList column? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
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
NEW QUESTION # 228
You have a power BI tenant that hosts the datasets shown in the following table.
You have the following requirements:
* The export of reports that contain Personally Identifiable Information (Pll) must be prevented.
* Data used for financial decisions must be reviewed and approved before use.
For each of the following statements, select Yes if the statement is true. Otherwise select No. NOTE: Each correct selection is worth one point
Answer:
Explanation:
NEW QUESTION # 229
You have a semantic model that connects to a streaming data source. The data source is updated frequently.
You need to create a Power BI report that meets the following requirements:
; Supports real-time analytics
; Minimizes performance impact on the data source
; Displays the most recent data without performing a data refresh
Which connectivity mode should you use for the semantic model?
Answer: C
Explanation:
Choose D (DirectQuery mode). The key constraint is to create a Power BI report that meets the following requirements:; Supports real-time analytics; Minimizes performance impact on the data source; Displays the most recent data. Storage mode is a model design choice. An Import table cannot be switched back to DirectQuery in place; it must be reconnected or re-added using DirectQuery when the source and model support that mode. This directly matches the current study-guide objective " Choose between DirectLake, DirectQuery, and Import " . Storage mode cannot always be toggled in place; reconnecting the table in the required mode is different from changing a display or refresh setting.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-storage- mode | PL-300 objective: " Choose between DirectLake, DirectQuery, and Import " | Study guide:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300
NEW QUESTION # 230
You need to address the data concerns before creating the data model. What should you do in Power Query Editor?
Answer: D
Explanation:
The correct answer is C (Select Column profile, and then select the sales_amount column). The key constraint is to address the data concerns before creating the data model. 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. This directly matches the current study-guide objective " Evaluate data, including data statistics and column properties " . A transformation that replaces, removes, or filters values would change the data before the analyst has quantified the problem; profiling is the diagnostic step. 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/data-profiling-tools | PL-300 objective: " Evaluate data, including data statistics and column properties " | Study guide: https://learn.
microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300
NEW QUESTION # 231
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