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| Section | Weight | Objectives |
|---|---|---|
| Prepare the data | 15-20% | - Clean, transform, and load data
|
| Deploy and maintain assets | 15-20% | - Secure and monitor Power BI
|
| Model the data | 30-40% | - Design a data model
|
| Visualize and analyze data | 25-35% | - Enhance reports for usability
|
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NEW QUESTION # 207
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 might not have a correct solution.
After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a clustered bar chart that contains a measure named Salary as the value and a field named Employee as the axis. Salary is present in the data as numerical amount representing US dollars.
You need to create a reference line to show which employees are above the median salary.
Solution: You create a percentile line by using the Salary measure and set the percentile to 50%.
Does this meet the goal?
Answer: B
NEW QUESTION # 208
You are creating an analytics report that will consume data from the tables shown in the following table.
There is a relationship between the tables.
There are no reporting requirements on employeejd and employee_photo.
You need to optimize the data model
What should you configure for employeejd and employee.photo? To answer, select the appropriate options in the answer area.
Answer:
Explanation:
Reference:
https://tessellationtech.io/optimizing-power-bi-reports/
NEW QUESTION # 209
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 might 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 exhibit.
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: B
NEW QUESTION # 210
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 might 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 exhibit.
The IoT GUID and IoT ID columns are unique to each row in query.
You need to analyze IoT events by the hour and day of the year. The solution must improve dataset performance.
Solution: You remove the loT GUID column and retain the loT ID column.
Does this meet the goal?
Answer: B
NEW QUESTION # 211
You maintain a Power Bl workspace that contains a supplier quality dashboard. The dashboard contains 10 card visuals, two map visuals and five bar chart visuals.
The dashboard mobile layout is shown in the exhibit. (Click the Exhibit tab.)
You need to modify the dashboard mobile layout to meet the following requirements:
* Only show single-value visuals.
* Minimize scrolling.
What should you do?
Answer: B
NEW QUESTION # 212
......
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