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| Vendor: | Microsoft |
|---|---|
| Exam Code: | DP-203 |
| Exam Name: | Data Engineering on Microsoft Azure |
| Exam Questions: | 354 |
| Last Updated: | October 8, 2026 |
| Related Certifications: | |
| Exam Tags: | Intermediate Microsoft Data Engineers |
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You have an Azure Synapse Analytics dedicated SQL pool named pool1.
You need to perform a monthly audit of SQL statements that affect sensitive dat
a. The solution must minimize administrative effort.
What should you include in the solution?
You have a table in an Azure Synapse Analytics dedicated SQL pool. The table was created by using the following Transact-SQL statement.

You need to alter the table to meet the following requirements:
Ensure that users can identify the current manager of employees.
Support creating an employee reporting hierarchy for your entire company.
Provide fast lookup of the managers' attributes such as name and job title.
Which column should you add to the table?
Use the same definition as the EmployeeID column.
https://docs.microsoft.com/en-us/analysis-services/tabular-models/hierarchies-ssas-tabular
You are designing a solution that will copy Parquet files stored in an Azure Blob storage account to an Azure Data Lake Storage Gen2 account.
The data will be loaded daily to the data lake and will use a folder structure of {Year}/{Month}/{Day}/.
You need to design a daily Azure Data Factory data load to minimize the data transfer between the two
accounts.
Which two configurations should you include in the design? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Copy data from one place to another. The requirements are : 1- need to minimize transfert and 2- need to adapte data to the destination folder structure. Filter on LastModifiedDate will copy everything that have changed since the latest load while minimizing the data transfert. Specifying the file naming pattern allows to copy data at the right place to the destination Data Lake.
You have an Azure SQL database named DB1 and an Azure Data Factory data pipeline named pipeline.
From Data Factory, you configure a linked service to DB1.
In DB1, you create a stored procedure named SP1. SP1 returns a single row of data that has four columns.
You need to add an activity to pipeline to execute SP1. The solution must ensure that the values in the columns are stored as pipeline variables.
Which two types of activities can you use to execute SP1? (Refer to Data Engineering on Microsoft Azure documents or guide for Answers/Explanation available at Microsoft.com)
the two types of activities that you can use to execute SP1 areStored ProcedureandLookup.
https://learn.microsoft.com/en-us/azure/data-factory/transform-data-using-stored-procedure
You have an Azure Data Lake Storage Gen2 account named adls2 that is protected by a virtual network.
You are designing a SQL pool in Azure Synapse that will use adls2 as a source.
What should you use to authenticate to adls2?
Managed identity for Azure resources is a feature of Azure Active Directory. The feature provides Azure services with an automatically managed identity in Azure AD. You can use the Managed Identity capability to authenticate to any service that support Azure AD authentication.
Managed Identity authentication is required when your storage account is attached to a VNet.
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