Instant Access Microsoft PL-300 Exam Premium Dumps - FreeCram

You have a Microsoft Power BI report. The size of PBIX file is 550 MB. The report is accessed by using an App workspace in shared capacity of the Power BI service.
The report uses an imported semantic model that contains one fact table. The fact table contains 12 million rows. The semantic model is scheduled to refresh twice a day at 08:00 and 17:00.
The report is a single page that contains 15 AppSource visuals and 10 default visuals.
Users say that the report is slow to load the visuals when they access and interact with the report.
You need to recommend a solution to improve the performance of the report.
What should you recommend?

• A. Change any DAX measures to use iterator functions.
• B. Replace the default visuals with AppSource visuals.
• C. Change the imported semantic model to DirectQuery.
• D. Remove unused columns from tables in the data model.

The scenario is asking for a way to recommend a solution to improve the performance of the report. The verified answer is D (Remove unused columns from tables in the data model). Guessing from total page time does not isolate the slow visual or measure; the diagnostic must separate DAX query, visual display, and other processing duration. Performance Analyzer records how long each visual spends on its DAX query, display, and other processing. DAX query view can then run and inspect a copied query to isolate the measure responsible for slow execution. The current skills outline describes this competency as " Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/create-reports/performance-analyzer | PL-300 objective: " Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications
/resources/study-guides/pl-300

You are using Power Query Editor to preview the data in a column named Max Temp. The column statistics and value distribution are shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Explanation:
Suggested answer:

The retained answer-area mapping contains the correct selections. The required outcome is to interpret the Column statistics and Value distribution shown for Max Temp. A transformation that replaces, removes, or filters values would change the data before the analyst has quantified the problem; profiling is the diagnostic step. 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. In Microsoft ' s current exam outline, the corresponding objective is " Evaluate data, including data statistics and column properties " . 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

You have a semantic model that has the relationships shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Explanation:

The completed mapping shown in the answer area is correct. The case is framed around this condition: you have a semantic model that has the relationships shown in the following exhibit. use the drop-down menus to select the answer choice that completes each statement based on the information. The relationship must carry filters from the descriptive table to the transaction table through matching keys. Bidirectional filtering is reserved for a demonstrated need because it can introduce multiple active paths. 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

You are creating a Microsoft Power BI model that has two tables named CityData and Sales. CityData contains only the data shown in the following table.

Sales contains only the data shown in the following table.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Explanation:

Read the completed answer mapping as 1) Yes; 2) Yes; 3) No. The case is framed around this condition: you are creating a microsoft power bi model that has two tables named citydata and sales. citydata contains only the data shown in the following table. sales contains only the data. A lookup-to-fact design normally uses one- to-many cardinality and single-direction filtering from the unique key to the repeating key. That creates predictable propagation and avoids an unnecessary ambiguous filter path. 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

You are using Microsoft Power BI Desktop to profile data in Power Query Editor. Table data is displayed as shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Explanation:

The retained answer-area mapping contains the correct selections. Begin with the scenario statement that you are using microsoft power bi desktop to profile data in power query editor. table data is displayed as shown in the following exhibit. use the drop-down menus to select. 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. In Microsoft ' s current exam outline, the corresponding objective is " Evaluate data, including data statistics and column properties " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | 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