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| Section | Weight | Objectives |
|---|---|---|
| Prepare the data | 15-20% | - Clean, transform, and load data
|
| Visualize and analyze data | 25-35% | - Enhance reports for usability
|
| Deploy and maintain assets | 15-20% | - Manage workspaces and datasets
|
| Model the data | 30-40% | - Design a data model
|
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NEW QUESTION # 397
You use Power Query Editor to preview the data shown in the following exhibit.
Answer:
Explanation:
Explanation:
The M transformation belongs in the query pipeline, where source values can be cleaned, split, filled, renamed, or typed consistently. A report visual or DAX measure would operate too late in the process. Use the selections preserved in the answer exhibit as the supported configuration. The relevant context is that you use power query editor to preview the data shown in the following exhibit. A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded. This rationale is anchored to the PL-300 objective " Create and transform columns " . This keeps the query output reproducible at refresh and leaves the semantic model with the grain and schema required by the report.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | PL-300 objective: " Create and transform columns " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications
/resources/study-guides/pl-300
NEW QUESTION # 398
You have two CSV files named Products and Categories.
The Products file contains the following columns:
ProductID
ProductName
SupplierID
CategoryID
The Categories file contains the following columns:
CategoryID
CategoryName
CategoryDescription
From Power BI Desktop, you import the files into Power Query Editor.
You need to create a Power BI semantic model that will contain a single table named Product. The Product will table includes the following columns:
ProductID
ProductName
SupplierID
CategoryID
CategoryName
CategoryDescription
How should you combine the queries, and what should you do on the Categories query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
The key constraint is to create a Power BI semantic model that will contain a single table named Product. The Product will table includes the following columns: ProductID ProductName SupplierID. The completed mapping shown in the answer area is correct. A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded. The M transformation belongs in the query pipeline, where source values can be cleaned, split, filled, renamed, or typed consistently. A report visual or DAX measure would operate too late in the process. The current skills outline describes this competency as " Create and transform columns " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | PL-300 objective: " Create and transform columns " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications
/resources/study-guides/pl-300
NEW QUESTION # 399
You have a Power Bl report that contains the visual shown in the following exhibit.
Answer:
Explanation:
Explanation:
NEW QUESTION # 400 
Each employee has one manager as shown in the ParentEmployeelD column,
All reporting paths lead to the CEO at the top of the organizational hierarchy.
You need to create a calculated column that returns the count of levels from each employee to the CEO.
Which DAX expression should you use?
Answer: D
NEW QUESTION # 401
You build a report about warehouse inventory data. The dataset has more than 10 million product records from
200 warehouses worldwide. You have a table named Products that contains the columns shown in the following table.
Warehouse managers report that it is difficult to use the report because the report uses only the product name in tables and visuals. The product name is contained within the ProductDescription column and is always the fourth value.
You need to modify the report to support the warehouse managers requirement to explore inventory levels at different levels of the product hierarchy. The solution must minimize the model size.
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:
NEW QUESTION # 402
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