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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model the data | 30-40% | - Develop a data model
|
| Topic 2: Deploy and maintain assets | 15-20% | - Secure and monitor Power BI
|
| Topic 3: Prepare the data | 15-20% | - Clean, transform, and load data
|
| Topic 4: Visualize and analyze data | 25-35% | - Enhance reports for usability
|
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NEW QUESTION # 202
You have a report that contains three pages. One of the pages contains a KPI visualization. You need to filter all the visualizations in the report except for the KPI visualization .
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Answer: A,E
NEW QUESTION # 203
Note: This question is a part of a series of questions that present the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You have a Microsoft SQL Server database that has the tables shown in the Database Diagram exhibit. (Click the Exhibit.)
You plan to develop a Power BI model as shown in the Power BI Model exhibit. (Click the Exhibit).
You plan to use Power BI to import data from 2013 to 2015.
Product Subcategory [Subcategory] contains NULL values.
End of repeated scenario.
You implement the Power BI model.
You need to add a measure to rank total sales by product. The results must appear as shown in the following table.
Which DAX formula should you use?
Answer: D
NEW QUESTION # 204
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: From the Data pane, you rename the date table as Due Date. You use a DAX expression to create Order Date and Deliver Date as calculated tables. You create active relationships between the sales table and each date table.
Does this meet the goal?
Answer: A
Explanation:
Renaming the date table and creating calculated tables for "Order Date" and "Delivery Date" with DAX expressions would not fully meet the goal. Power BI only allows one active relationship between two tables at a time. Therefore, you cannot have active relationships between the sales table and all three date tables simultaneously.
Instead, you would typically create one active relationship (e.g., with "Order Date") and use DAX functions like USERELATIONSHIP to switch between different relationships when needed for analysis. Alternatively, you could use a single date table and create multiple relationships, using inactive relationships and the USERELATIONSHIP function to activate them in specific measures.
NEW QUESTION # 205
You receive revenue data that must be included in Microsoft Power Bl reports.
You perform an initial load of the data from a Microsoft Excel source as shown in the following exhibit.
You plan to create several visuals from the data, including a visual that shows revenue split by year and product.
You need to transform the data to ensure that you can build the visuals. The solution must ensure that the columns are named appropriately for the data that they contain.
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.
Answer:
Explanation:
Explanation:
Step 1: Select Use Header as First Row.
Step 2: Select Department and Product and Unpivot Other Columns
Unpivot Other Columns: This command unpivots unselected columns. Use this command in a query when not all columns are known. New columns added during a refresh operation are also unpivoted.
Step 3: Rename the Attribute column to Year and the Value column to Revenue.
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.
When you unpivot, you unpack the attribute-value pairs that represent an intersection point of the new columns and re-orient them into flattened columns:
Values (in blue on the left) are unpivoted into a new column (in blue on the right).
Attributes (in green on the left) are unpivoted into a new column (in green on the right) and duplicates are correspondingly mapped to the new Values column.
Reference:
https://support.microsoft.com/en-us/office/unpivot-columns-power-query-0f7bad4b-9ea1-49c1-9d95- f588221c7098
NEW QUESTION # 206
You are building a Power Bl report that uses data from an Azure SQL database named erp1.
You Import the following tables.
You need to perform the following analyses:
* Orders sold over time that include a measure of the total order value
* Orders by attributes of products sold
The solution must minimize update times when interacting with visuals in the report. What should you do first?
Answer: A
Explanation:
https://www.sqlbi.com/articles/header-detail-vs-star-schema-models-in-tabular-and-power-bi/
NEW QUESTION # 207
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