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Microsoft DP-600 Exam Syllabus Topics:

SectionWeightObjectives
Implement and manage semantic models25โ€“30- Design and build semantic models
  • 1. Optimize model performance and structure
  • 2. Define relationships, hierarchies, and measures
  • 3. Create Power BI semantic models
- Deploy and maintain semantic models
  • 1. Monitor and refresh semantic models
  • 2. Use XMLA endpoint for deployment and management
  • 3. Create reusable assets and shared models
Maintain a data analytics solution25โ€“30- Implement security and governance
  • 1. Configure workspace and item-level access
  • 2. Apply row-level, column-level, and object-level security
  • 3. Use sensitivity labels and endorsement
- Manage analytics development lifecycle
  • 1. Implement deployment pipelines
  • 2. Configure version control and projects
  • 3. Perform impact analysis and dependency management
Prepare data for analytics45โ€“50- Implement data storage structures
  • 1. Design and manage lakehouse tables
  • 2. Configure warehouse storage and querying
  • 3. Implement delta lake and partitioning
- Clean and transform data
  • 1. Perform data enrichment and validation
  • 2. Process data using Spark notebooks and SQL
  • 3. Manage data quality and consistency
- Ingest and load data
  • 1. Ingest data from various sources
  • 2. Load data into lakehouses and warehouses
  • 3. Use Dataflows Gen2 to transform data

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q21-Q26):

NEW QUESTION # 21
You have a Fabric warehouse that contains a table named Staging.Sales. Staging.Sales contains the following columns.

You need to write a T-SQL query that will return data for the year 2023 that displays ProductID and ProductName arxl has a summarized Amount that is higher than 10,000. Which query should you use?

Answer: D

Explanation:
The correct query to use in order to return data for the year 2023 that displays ProductID, ProductName, and has a summarized Amount greater than 10,000 is Option B. The reason is that it uses the GROUP BY clause to organize the data by ProductID and ProductName and then filters the result using the HAVING clause to only include groups where the sum of Amount is greater than 10,000. Additionally, the DATEPART(YEAR, SaleDate) = ' 2023 ' part of the HAVING clause ensures that only records from the year 2023 are included.
References = For more information, please visit the official documentation on T-SQL queries and the GROUP BY clause at T-SQL GROUP BY.


NEW QUESTION # 22
You have a Fabric workspace named Workspace1 and an Azure Data Lake Storage Gen2 account named storage"!. Workspace1 contains a lakehouse named Lakehouse1.
You need to create a shortcut to storage! in Lakehouse1.
Which connection and endpoint should you specify? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

When creating a shortcut to an Azure Data Lake Storage Gen2 account in a lakehouse, you should use the abfss (Azure Blob File System Secure) connection string and the dfs (Data Lake File System) endpoint. The abfss is used for secure access to Azure Data Lake Storage, and the dfs endpoint indicates that the Data Lake Storage Gen2 capabilities are to be used.


NEW QUESTION # 23
You have a Fabric tenant.
You are creating a Fabric Data Factory pipeline.
You have a stored procedure that returns the number of active customers and their average sales for the current month.
You need to add an activity that will execute the stored procedure in a warehouse. The returned values must be available to the downstream activities of the pipeline.
Which type of activity should you add?

Answer: B


NEW QUESTION # 24
You have an Azure Repos Git repository named Repo1 and a Fabric-enabled Microsoft Power Bl Premium capacity. The capacity contains two workspaces named Workspace! and Workspace2. Git integration is enabled at the workspace level.
You plan to use Microsoft Power Bl Desktop and Workspace! to make version-controlled changes to a semantic model stored in Repo1. The changes will be built and deployed lo Workspace2 by using Azure Pipelines.
You need to ensure that report and semantic model definitions are saved as individual text files in a folder hierarchy. The solution must minimize development and maintenance effort.
In which file format should you save the changes?

Answer: B


NEW QUESTION # 25
You have a Microsoft Power BI semantic model that contains a measure named TotalSalesAmount. TotalSalesAmount returns a sales revenue amount that is translated into a selected currency.
You need to ensure that the value returned by TotalSalesAmount is formatted to use the correct currency symbol.
What should you include in the solution?

Answer: B


NEW QUESTION # 26
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