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.
A company uses a Microsoft Excel sheet to manage its loan application process.
The company wants to optimize the process.
You need to discover inefficiencies in the process.
Solution: Upload the activity data stored in the Excel sheet to the process advisor feature. Use process mining to discover inefficiencies in the process.
Does the solution meet the goal?
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.
A company uses a Microsoft Excel sheet to manage its loan application process.
The company wants to optimize the process.
You need to discover inefficiencies in the process.
Solution: Upload the activity data stored in the Excel sheet to the process advisor feature. Use process mining to discover inefficiencies in the process.
Does the solution meet the goal?
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.
A company uses a Microsoft Excel sheet to manage its loan application process.
The company wants to optimize the process.
You need to discover inefficiencies in the process.
Solution: Upload the activity data stored in the Excel sheet to the process advisor feature. Use task mining to discover inefficiencies in the process.
Does the solution meet the goal?
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.
A company uses a Microsoft Excel sheet to manage its loan application process.
The company wants to optimize the process.
You need to discover inefficiencies in the process.
Solution: Upload the activity data stored in the Excel sheet to the process advisor feature. Use process mining to discover inefficiencies in the process.
Does the solution meet the goal?
A company sells antique books. The company stores data about book locations in an existing system by using the following database fields: Room, Shelf.
The company must import the data from the existing system into a Power Platform solution. Existing data into must be modified to match the design of the new solution.
You need to recommend a solution to combine the room and shelf fields into a single column during the import process.
Which tool should you recommend?
Dataverse includes a web application tool called Import Data Wizard. You use this tool to import data records from one or more comma-separated values (.csv), XML Spreadsheet 2003 (.xml), or text files.
Use transformation mapping to modify data before importing it. For example, split a full name that is contained
in the source file into a first name and a last name to match the target columns for a table.
Note:
To implement data import, you typically do the following:
Create a comma-separated values (CSV), XML Spreadsheet 2003 (XMLSS), or text source file.
Create a data map or use an existing data map.
Create a comma-separated values (CSV), XML Spreadsheet 2003 (XMLSS), or text source file.
Create a data map or use an existing data map.
Associate an import file with a data map.
Upload the content from a source file to the associated import file.
Parse the import file.
Transform the parsed data.
Upload the transformed data into the target Dataverse server.
https://docs.microsoft.com/en-us/powerapps/developer/data-platform/import-data
https://docs.microsoft.com/en-us/powerapps/developer/data-platform/add-transformation-mappings-import
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