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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model the Data | 25-30% | - Optimize model performance
|
| Topic 2: Visualize the Data | 25-30% | - Enrich reports with advanced visuals
|
| Topic 3: Prepare the Data | 10-15% | - Get data from various data sources
|
| Topic 4: Analyze the Data | 10-15% | - Perform analysis in Power BI
|
| Topic 5: Manage and Maintain Workspace Items | 10-15% | - Manage datasets
|
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NEW QUESTION # 421
You are creating reports in Power BI D esktop. The model has the following tables.
There is a relationship between the tables.
You plan to publish a report to the Power BI service that displays Order_amount by Order_date by Full_name.
You need to ensure that only the columns required for the report appear in Report View. The solution must minimize the size of the dataset that is published.
How should you configure the columns in Power BI Desktop? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection i s worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 422
You have a collection of reports for the HR department of your company.
You need to create a visualization for the HR department that shows a historic employee counts and predicts trends during the next six months.
Which type of visualization should you use?
Answer: C
Explanation:
The best data for forecasting is time series data or uniformly increasing whole numbers. The line chart has to have only one line.
Try forecasting: Try the new forecasting capabilities of Power View today on your own data or with the sample report available as part of the Power BI report samples. To view your own data, upload a workbook with a Power View time series line chart to Power BI for Office 365.
Reference:
https://powerbi.microsoft.com/en-us/blog/introducing-new-forecasting-capabilities-in-power-view-for-office-
365
NEW QUESTION # 423
You create a data model in Power BI.
Report developers and users provide feedback that the data model is too complex.
The model contains the following tables.
The model has the following relationships:
*There is a one-to-one relationship between Sales_Region and Region_Manager.
*There are more records in Manager than in Region_Manager, but every record in Region_Manager has a corresponding record in Manager.
*There are more records in Sales_Manager than in Sales_Region, but every record in Sales_Region has a corresponding record in Sales_Manager.
You need to denormalize the model into a single table. Only managers who are associated to a sales region must be included in the reports.
Which three 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.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Answer:
Explanation:
Explanation:
The completed mapping shown in the answer area is correct. The key constraint is to denormalize the model into a single table. Only managers who are associated to a sales region must be included in the reports. A merge joins columns from related tables by matching key values. That is the appropriate operation when one output row must contain attributes from both sources; append would stack rows instead. This directly matches the current study-guide objective " Merge and append queries " . Append stacks records vertically and therefore cannot bring related attributes onto the same row; that requires a key-based merge. The join type also preserves the inclusion rule stated in the scenario while avoiding an unrelated increase in table grain.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/merge-queries-overview | PL-300 objective: " Merge and append queries " | Study guide: https://learn.microsoft.com/en-us/credentials
/certifications/resources/study-guides/pl-300
NEW QUESTION # 424
Adding an index key and normalizing casing in the data source would help resolve issues with undefined values and errors in a case-sensitive column. The index key can provide a unique identifier, and normalizing casing ensures consistency in the data, which would likely prevent the errors you encountered in the Power BI semantic model.
You have a Power BI data model that imports a date table and a sales table from an Azure SQL database data source. The sales table has the following date foreign keys.
;Due Date
;Order Date
;Delivery Date
You need to support the analysis of sales over time based on all three dates at the same time.
Solution: You create measures that use the USERELATIONSHIP DAX function to filter sales on the inactive relationships between sales table and the date table.
Does this meet the goal?
Answer: A
Explanation:
The correct response is B (No): the proposed action - You create measures that use the USERELATIONSHIP DAX function to filter sales on the inactive relationships between sales table and the date table - does not meet that requirement. Multiple date roles require deliberate relationship design. Active relationships provide the default filter path; inactive relationships can be invoked in a measure, while separate role-playing date dimensions allow simultaneous independent filtering. What determines the answer is the need to evaluate whether this proposal meets the goal: You create measures that use the USERELATIONSHIP DAX function to filter sales on the inactive relationships between sales. Inactive relationships alone do not affect a calculation; they must be activated in a measure, or separate role-playing dimensions must be used when dates need independent simultaneous filters. For exam alignment, this is assessed under " Implement role-playing dimensions " in the current study guide.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/guidance/relationships-active-inactive
| PL-300 objective: " Implement role-playing dimensions " | Study guide: https://learn.microsoft.com/en-us
/credentials/certifications/resources/study-guides/pl-300
NEW QUESTION # 425
You need to create a measure that will return the percentage of late orders.
How should you complete the DAX expression? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/dax/calculate-function-dax
https://docs.microsoft.com/en-us/dax/filter-function-dax
NEW QUESTION # 426
......
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