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Vendor: | Microsoft |
---|---|
Exam Code: | DP-600 |
Exam Name: | Implementing Analytics Solutions Using Microsoft Fabric |
Exam Questions: | 117 |
Last Updated: | April 15, 2025 |
Related Certifications: | Fabric Analytics Engineer Associate |
Exam Tags: | Associate Level Microsoft Data analysts and Fabrics Professionals |
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You have a Fabric workspace named Workspace1 that contains a lakehouse named Lakehouse1.
In Workspace1. you create a data pipeline named Pipeline1.
You have CSV files stored in an Azure Storage account.
You need to add an activity to Pipeline1 that will copy data from the CSV files to Lakehouse1. The activity must support Power Query M formula language expressions.
Which type of activity should you add?
You have a Fabric tenant that contains a warehouse. The warehouse uses row-level security (RLS). You create a Direct Lake semantic model that uses the Delta tables and RLS of the warehouse. When users interact with a report built from the model, which mode will be used by the DAX queries?
When users interact with a report built from a Direct Lake semantic model that uses row-level security (RLS), the DAX queries will operate in DirectQuery mode (A). This is because the model directly queries the underlying data source without importing data into Power BI. Reference = The Power BI documentation on DirectQuery provides detailed explanations of how RLS and DAX queries function in this mode.
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.
You have a Fabric tenant that contains a semantic model named Model1.
You discover that the following query performs slowly against Model1.
You need to reduce the execution time of the query.
Solution: You replace line 4 by using the following code:
Does this meet the goal?
You have a Fabric workspace named Workspace1 and an Azure SQL database.
You plan to create a dataflow that will read data from the database, and then transform the data by performing an inner join. You need to ignore spaces in the values when performing the inner join The solution must minimize development effort. What should you do?
You have a Microsoft Power Bl semantic model.
You need to identify any surrogate key columns in the model that have the Summarize By property set to a value other than to None. The solution must minimize effort.
What should you use?
To identify surrogate key columns with the 'Summarize By' property set to a value other than 'None,' the Best Practice Analyzer in Tabular Editor is the most efficient tool. The Best Practice Analyzer can analyze the entire model and provide a report on all columns that do not meet a specified best practice, such as having the 'Summarize By' property set correctly for surrogate key columns. Here's how you would proceed:
Open your Power BI model in Tabular Editor.
Go to the Advanced Scripting window.
Write or use an existing script that checks the 'Summarize By' property of each column.
Execute the script to get a report on the surrogate key columns that do not have their 'Summarize By' property set to 'None'.
You can then review and adjust the properties of the columns directly within the Tabular Editor.
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