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Most Recent Microsoft DP-203 Exam Dumps

 

Prepare for the Microsoft Data Engineering on Microsoft Azure exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Microsoft DP-203 exam and achieve success.

The questions for DP-203 were last updated on Mar 28, 2025.
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Question No. 1

You have a SQL pool in Azure Synapse that contains a table named dbo.Customers. The table contains a column name Email.

You need to prevent nonadministrative users from seeing the full email addresses in the Email column. The users must see values in a format of aXXX@XXXX.com instead.

What should you do?

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Correct Answer: D

From Microsoft SQL Server Management Studio, set an email mask on the Email column. This is because 'This feature cannot be set using portal for Azure Synapse (use PowerShell or REST API) or SQL Managed Instance.' So use Create table statement with Masking e.g. CREATE TABLE Membership (MemberID int IDENTITY PRIMARY KEY, FirstName varchar(100) MASKED WITH (FUNCTION = 'partial(1,'XXXXXXX',0)') NULL, . . https://docs.microsoft.com/en-us/azure/azure-sql/database/dynamic-data-masking-overview

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Question No. 2

You have an Azure data factor/ connected to a Git repository that contains the following branches:

* mam: Collaboration branch

* abc: Feature branch

* xyz: Feature branch

You save charges to a pipeline in the xyz branch.

You need to publish the changes to the live service

What should you do first?

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Correct Answer: D

Question No. 3

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 scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You have an Azure Storage account that contains 100 GB of files. The files contain text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB.

You plan to copy the data from the storage account to an Azure SQL data warehouse.

You need to prepare the files to ensure that the data copies quickly.

Solution: You modify the files to ensure that each row is less than 1 MB.

Does this meet the goal?

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Correct Answer: A

When exporting data into an ORC File Format, you might get Java out-of-memory errors when there are large text columns. To work around this limitation, export only a subset of the columns.


https://docs.microsoft.com/en-us/azure/sql-data-warehouse/guidance-for-loading-data

Question No. 4

You have an Azure subscription that contains a Microsoft Purview account.

You need to search the Microsoft Purview Data Catalog to identify assets that have an assetType property of Table or View

Which query should you run?

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Correct Answer: B

Question No. 5

You have an Azure Synapse Analystics dedicated SQL pool that contains a table named Contacts. Contacts contains a column named Phone.

You need to ensure that users in a specific role only see the last four digits of a phone number when querying the Phone column.

What should you include in the solution?

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Correct Answer: B

Dynamic data masking helps prevent unauthorized access to sensitive data by enabling customers to designate how much of the sensitive data to reveal with minimal impact on the application layer. It's a policy-based security feature that hides the sensitive data in the result set of a query over designated database fields, while the data in the database is not changed.


https://docs.microsoft.com/en-us/azure/azure-sql/database/dynamic-data-masking-overview

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