| Exam Name: | Microsoft Power BI Data Analyst | ||
| Exam Code: | PL-300 Dumps | ||
| Vendor: | Microsoft | Certification: | Microsoft Certified: Power BI Data Analyst Associate |
| Questions: | 439 Q&A's | Shared By: | maliha |
You are building a Power BI report to analyze customer segments.
You need to identify customer segments dynamically based on the Bounce Rate across dimensions such as source, geography, and demographics. The solution must minimize analysis effort.
Which type of visualization should you use?
You have a Power Bl report named Orders that supports the following analysis:
• Total sales over time
• The count of orders over time
• New and repeat customer counts
The data model size is nearing the limit for a dataset in shared capacity. The model view for the dataset is shown in the following exhibit.
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?
You have a large dataset that contains more than 1 million rows. The table has a datetime column named
Date.
You need to reduce the size of the data model.
What should you do?
TESTED 12 Jul 2025
