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| Section | Weight | Objectives |
|---|---|---|
| Analyze the Data | 10-15% | - Work with metrics in Power BI
|
| Model the Data | 25-30% | - Optimize model performance
|
| Manage and Maintain Workspace Items | 10-15% | - Manage datasets
|
| Prepare the Data | 10-15% | - Clean, transform, and load the data
|
| Visualize the Data | 25-30% | - Enrich reports with advanced visuals
|
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NEW QUESTION # 464
HOTSPOT
You have two tables named Customers and Invoice in a Power BI model.
The Customers table contains the following fields:
* CustomerID
* Customer City
* Customer State
* Customer Name
* Customer Address 1
* Customer Address 2
* Customer Postal Code
The Invoice table contains the following fields:
* Order ID
* Invoice ID
* Invoice Date
* Customer ID
* Total Amount
* Total Item Count
The Customers table is related to the Invoice table through the Customer ID columns. A customer can have many invoices within one month.
The Power BI model must provide the following information:
* The number of customers invoiced in each state last month
* The average invoice amount per customer in each postal code
You need to define the relationship from the Customers table to the Invoice table. The solution must optimize query performance.
What should you configure? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 465
You have the data lineage 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:
Explanation
Text, table Description automatically generated with medium confidence
Box 1: CONTOSO BIKES report
Box 2: three datasets
Images, tweets and the Contoso datasets.
NEW QUESTION # 466
You have a power BI tenant that hosts the datasets shown in the following table.
You have the following requirements:
* The export of reports that contain Personally Identifiable Information (Pll) must be prevented.
* Data used for financial decisions must be reviewed and approved before use.
For each of the following statements, select Yes if the statement is true. Otherwise select No. NOTE: Each correct selection is worth one point
Answer:
Explanation:
Explanation:
NEW QUESTION # 467
You have a Microsoft Power BI data model that contains three tables named Sales, Product, and Date.
The Sales table has an existing measure named [Total Sales] that sums the total sales from the Sales table.
You need to write a calculation that returns the percentage of total sales that a selected ProductCategoryName value represents. The calculation must respect any slicers on ProductCategoryName and must show the percentage of visible total sales. For example, if there are four ProductCategoryName values, and a user filters one out, a table showing ProductCategoryName and the calculation must sum up to 100 percent.
How should you complete the calculation? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
DAX calculations depend on evaluation context. Aggregators, iterators, and filter-modifying functions must be combined so the expression evaluates the intended rows while retaining or replacing filters only where required. Use the selections preserved in the answer exhibit as the supported configuration. The deciding requirement in this question is to write a calculation that returns the percentage of total sales that a selected ProductCategoryName value represents. The calculation must respect any slicers. An alternative that changes the source or creates a stored column either ignores filter context or increases model size without meeting a dynamic measure requirement. This rationale is anchored to the PL-300 objective " Create single aggregation measures " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/dax/ | PL-300 objective: " Create single aggregation measures " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources
/study-guides/pl-300
NEW QUESTION # 468
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: B
Explanation:
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 # 469
......
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