Question # 1 You have a Fabric tenant that contains a semantic model.
You need to prevent report creators from populating visuals by using implicit measures.
What are two tools that you can use to achieve the goal? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point. A. Microsoft Power BI DesktopB. Tabular EditorC. Microsoft SQL Server Management Studio (SSMS)D. DAX Studio
Click for Answer
A. Microsoft Power BI DesktopB. Tabular Editor
Answer Description Explanation:
Microsoft Power BI Desktop (A) and Tabular Editor (B) are the tools you can use to prevent report creators from using implicit measures. In Power BI Desktop, you can define explicit measures which can be used in visuals. Tabular Editor allows for advanced model editing, where you can enforce the use of explicit measures. References = Guidance on using explicit measures and preventing implicit measures in reports can be found in the Power BI and Tabular Editor official documentation.
Question # 2 You need to recommend a solution to prepare the tenant for the PoC.
Which two actions should you recommend performing from the Fabric Admin portal? Each correct answer presents part of the solution.
NOTE: Each correct answer is worth one point. A. Enable the Users can try Microsoft Fabric paid features option for specific security groups.
B. Enable the Allow Azure Active Directory guest users to access Microsoft Fabric option for specific security groups.
C. Enable the Users can create Fabric items option and exclude specific security groups.
D. Enable the Users can try Microsoft Fabric paid features option for the entire organization.
E. Enable the Users can create Fabric items option for specific security groups.
Click for Answer
A. Enable the Users can try Microsoft Fabric paid features option for specific security groups.
E. Enable the Users can create Fabric items option for specific security groups.
Question # 3 You have a Fabric tenant that contains a semantic model. The model contains 15 tables.
You need to programmatically change each column that ends in the word Key to meet the following requirements:
• Hide the column.
• Set Nullable to False.
• Set Summarize By to None
• Set Available in MDX to False.
• Mark the column as a key column.
What should you use? A. Microsoft Power Bl DesktopB. Tabular EditorC. ALM ToolkitD. DAX Studio
Click for Answer
B. Tabular Editor
Answer Description Explanation:
Tabular Editor is an advanced tool for editing Tabular models outside of Power BI Desktop that allows you to script out changes and apply them across multiple columns or tables. To accomplish the task programmatically, you would:
Open the model in Tabular Editor.
Create an Advanced Script using C# to iterate over all tables and their respective columns.
Within the script, check if the column name ends with 'Key'.
For columns that meet the condition, set the properties accordingly: IsHidden = true, IsNullable = false, SummarizeBy = None, IsAvailableInMDX = false.
Additionally, mark the column as a key column.
Save the changes and deploy them back to the Fabric tenant.
References: The ability to batch-edit properties using scripts in Tabular Editor is well-documented in the tool's official documentation and user community resources.
Question # 4 You have a Fabric tenant that contains a Microsoft Power Bl report named Report 1. Report1 includes a Python visual. Data displayed by the visual is grouped automatically and duplicate rows are NOT displayed. You need all rows to appear in the visual. What should you do? A. Reference the columns in the Python code by index.B. Modify the Sort Column By property for all columns.C. Add a unique field to each row.D. Modify the Summarize By property for all columns.
Click for Answer
A. Reference the columns in the Python code by index.
Answer Description Explanation:
To ensure all rows appear in the Python visual within a Power BI report, option C, adding a unique field to each row, is the correct solution. This will prevent automatic grouping by unique values and allow for all instances of data to be represented in the visual. References = For more on Power BI Python visuals and how they handle data, please refer to the Power BI documentation.
Question # 5 Which of the following components is most commonly used for data ingestion in Microsoft Fabric?
A. Power BIB. Azure Synapse AnalyticsC. Data FactoryD. Databricks
Click for Answer
C. Data Factory
Question # 6 You need to design a semantic model for the customer satisfaction report. Which data source authentication method and mode should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Answer Description
Question # 7 You are the administrator of a Fabric workspace that contains a lakehouse named Lakehouse1. Lakehouse1 contains the following tables:
Table1 : A Delta table created by using a shortcut
Table2 : An external table created by using Spark
Table3 : A managed table
You plan to connect to Lakehouse1 by using its SQL endpoint. What will you be able to do after connecting to Lakehouse1? A. ReadTable3.B. Update the data Table3.C. ReadTable2.D. Update the data in Table1.
Click for Answer
D. Update the data in Table1.
Question # 8 You need to ensure that Contoso can use version control to meet the data analytics requirements and the general requirements. What should you do? A. Store all the semantic models and reports in Data Lake Gen2 storage.B. Modify the settings of the Research workspaces to use a GitHub repository.C. Store all the semantic models and reports in Microsoft OneDrive.D. Modify the settings of the Research division workspaces to use an Azure Repos repository.
Click for Answer
B. Modify the settings of the Research workspaces to use a GitHub repository.
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