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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Power BI Data Analyst |
| Exam Number: | PL-300 |
| Passing Score: | 700 (out of 1000) |
| Related Certifications: | Microsoft Certified: Power Platform Associate Microsoft Certified: Data Analyst Associate |
| Real Exam Qty: | 40-60 |
| Certificate Validity Period: | 12 months |
| Exam Price: | USD 165 |
| Available Languages: | Chinese (Traditional), Italian, English, Portuguese (Brazil), Korean, Spanish, French, Arabic (Saudi Arabia), Russian, German, Japanese, Indonesian, Chinese (Simplified) |
| Exam Duration: | 180 minutes |
| Exam Format: | Simulation, Case studies, Multiple choice (single/multiple response), Performance-based, Drag and drop |
| Recommended Training: | Microsoft Learn - PL-300 Learning Path Microsoft Official Course: PL-300T00 |
| Exam Registration: | Microsoft Learn - Schedule Exam Pearson VUE Registration |
| Sample Questions: | Microsoft PL-300 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended experience: proficiency in Power Query, DAX, data profiling, and understanding of data security concepts |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300 |
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NEW QUESTION # 386
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others mig ht not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
From Power Query Editor, you profile the data shown in the following exhib it.
The IOT ID columns are unique to each row in query.
You need to analyze 10T events by the hour and day of the year. The solution must improve dataset performance.
Solution: You change the IOT DateTime column to the Date data type.
Does this meet the goal?
Answer: A
NEW QUESTION # 387
In Power BI Desktop, you are building a sales report that contains two tables. Both tables have row-level security (RLS) configured.
You need to create a relationship between the tables. The solution must ensure that bidirectional cross-filtering honors the RLS settings.
What should you do?
Answer: A
Explanation:
By default, row-level security filtering uses single-directional filters, whether the relationships are set to single direction or bi-directional. You can manually enable bi-directional cross-filtering with row-level security by selecting the relationship and checking the Apply security filter in both directions checkbox. Select this option when you've also implemented dynamic row-level security at the server level, where row-level security is based on username or login ID.
Reference:
https://docs.microsoft.com/en-us/power-bi/admin/service-admin-rls
NEW QUESTION # 388
You are creating a Power Bi model in Power BI Desktop
You need to create a calculated table named Numbers that will contain all the integers from -100 to 100. How should you complete the DAX calculation? To answer, select the appropriate options in the answer area.
NOTE Each correct selection is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION # 389
You have the Power BI data model 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.
Answer:
Explanation:
NEW QUESTION # 390
You have a query that returns the data shown in the following exhibit.
You need to configure the query to display the data as shown in the following exhibit.
Which step should you use in the query?
Answer: A
Explanation:
Power Query Unpivot columns: You might want to unpivot data, sometimes called flattening the data, to put it in a matrix format so that all similar values are in one column. This is necessary, for example, to create a chart or a report.
Chart Description automatically generated
Note:
Syntax: Table.Unpivot(table as table, pivotColumns as list, attributeColumn as text, valueColumn as text) as table Table.Unpivot translates a set of columns in a table into attribute-value pairs, combined with the rest of the values in each row.
Reference:
https://docs.microsoft.com/en-us/power-query/unpivot-column
https://docs.microsoft.com/en-us/powerquery-m/table-unpivot
NEW QUESTION # 391
......
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