U.S. Independence Day Deal! Unlock 25% OFF Today – Limited-Time Offer - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Microsoft DP-800 Exam Questions

Exam Name: Microsoft Developing AI-Enabled Database Solutions Exam
Exam Code: DP-800
Related Certification(s): Microsoft SQL AI Developer Associate Certification
Certification Provider: Microsoft
Number of DP-800 practice questions in our database: 61 (updated: Jun. 25, 2026)
Disscuss Microsoft DP-800 Topics, Questions or Ask Anything Related
0/2000 characters
Submit Cancel

James Ramirez

21 days ago
I passed the exam and ran into scenario questions on schema design for AI workloads that asked whether to normalize embeddings into separate tables or store them as arrays for faster retrieval. Study partitioning, storage formats for vectors, and the tradeoffs between normalization and denormalization so you can justify schema choices by expected query patterns.
upvoted 0 times
...

Elizabeth Young

28 days ago
DP 800 felt heavier on solution design than I expected, so mapping features to real workload scenarios helped me stay calm and I passed on the first try. The case study questions got easier once I practiced choosing between Synapse, Fabric, and Azure SQL based on constraints.
upvoted 0 times
...

Jennifer Robinson

2 months ago
I passed the exam and found questions about implementing vector search and semantic ranking especially tricky, one item asked whether to use Azure Cognitive Search with embeddings or an in-database vector index based on latency and cost constraints. Focus on how embeddings are stored and queried, vector index types, and practice mapping retrieval scenarios to the right architecture, and thanks Pass4Success for providing a good collection of exam questions that helped me prepare quickly.
upvoted 0 times
...

Robert Miller

2 months ago
Heads-up the vector embedding and similarity search architecture question felt really tricky. Sketching a quick diagram helped me choose between in-database vector indexes and an external semantic search.
upvoted 0 times

John Hill

2 months ago
Interesting I found the way Microsoft tested trade-offs between model latency and storage cost on DP-800 to be surprisingly subtle and required judgement calls.
upvoted 0 times

Donald Hill

2 months ago
Honestly the performance tuning parts about indexing and query plans in mixed OLTP and semantic workloads confused me more than the AI integration.
upvoted 0 times
...
...

Ryan Nguyen

2 months ago
Another thing that helped was underlining assumed data sizes and SLAs in the scenario so I could pick the right optimization strategy.
upvoted 0 times

Brenda Lewis

1 month ago
Inevitably the bit about executing external model scoring from SQL raised a lot of questions for me about security principals and permission scopes.
upvoted 0 times
...
...

Charles Reed

2 months ago
Surprisingly some questions felt like system design where you had to justify choosing managed endpoints versus embedded inference on the database in DP-800.
upvoted 0 times
...
...

Free Microsoft DP-800 Exam Actual Questions

Note: Premium Questions for DP-800 were last updated On Jun. 25, 2026 (see below)

Question #1

You have an SDK-style SQL database project stored in a Git repository. The project targets an Azure SQL database.

The CI build fails with unresolved reference errors when the project ieferences system objects.

You need to update the SQL database project to ensure that dotnet build validates successfully by including the correct system objects in the database model for Azure SQL Database.

Solution: Add the Microsoft.SqlServer.Dacpacs.Mastet NuGet package to the project.

Does this meet the goal?

Reveal Solution Hide Solution
Correct Answer: B

The package named Microsoft.SqlServer.Dacpacs.Master is the generic master system DACPAC package, but the question requires the correct system objects for Azure SQL Database. Microsoft's system-objects documentation distinguishes platform-specific system references, and for Azure SQL Database the correct package is the Azure-specific master DACPAC, not the generic master package.

So adding Microsoft.SqlServer.Dacpacs.Master does not meet the goal for an Azure SQL Database-targeted SDK-style project. The expected package is the Azure-specific one.


Question #2

Your team is developing an Azure SQL dataset solution from a locally cloned GitHub repository by using Microsoft Visual Studio Code and GitHub Copilot Chat.

You need to disable the GitHub Copilot repository-level instructions for yourself without affecting other users.

What should you do?

Reveal Solution Hide Solution
Correct Answer: A

GitHub documents that repository custom instructions for Copilot Chat can be disabled for your own use in the editor settings, and that doing so does not affect other users. In VS Code, this is controlled through settings related to instruction files, where you can disable the use of repository instruction files for your own environment.

The other options are incorrect:

B is not a documented mechanism for disabling repository-level Copilot instructions.

C would remove the repository instruction file itself and therefore affect everyone using that repository, which violates the requirement.


Question #3

You have an SDK-style SQL database project stored in a Git repository. The project targets an Azure SQL database.

The CI build fails with unresolved reference errors when the project ieferences system objects.

You need to update the SQL database project to ensure that dotnet build validates successfully by including the correct system objects in the database model for Azure SQL Database.

Solution: Add the Microsoft.SqlServer.Dacpacs.Mastet NuGet package to the project.

Does this meet the goal?

Reveal Solution Hide Solution
Correct Answer: B

The package named Microsoft.SqlServer.Dacpacs.Master is the generic master system DACPAC package, but the question requires the correct system objects for Azure SQL Database. Microsoft's system-objects documentation distinguishes platform-specific system references, and for Azure SQL Database the correct package is the Azure-specific master DACPAC, not the generic master package.

So adding Microsoft.SqlServer.Dacpacs.Master does not meet the goal for an Azure SQL Database-targeted SDK-style project. The expected package is the Azure-specific one.


Question #4

Your team is developing an Azure SQL dataset solution from a locally cloned GitHub repository by using Microsoft Visual Studio Code and GitHub Copilot Chat.

You need to disable the GitHub Copilot repository-level instructions for yourself without affecting other users.

What should you do?

Reveal Solution Hide Solution
Correct Answer: A

GitHub documents that repository custom instructions for Copilot Chat can be disabled for your own use in the editor settings, and that doing so does not affect other users. In VS Code, this is controlled through settings related to instruction files, where you can disable the use of repository instruction files for your own environment.

The other options are incorrect:

B is not a documented mechanism for disabling repository-level Copilot instructions.

C would remove the repository instruction file itself and therefore affect everyone using that repository, which violates the requirement.


Question #5

You have an SDK-style SQL database project stored in a Git repository. The project targets an Azure SQL database.

The CI build fails with unresolved reference errors when the project ieferences system objects.

You need to update the SQL database project to ensure that dotnet build validates successfully by including the correct system objects in the database model for Azure SQL Database.

Solution: Add the Microsoft.SqlServer.Dacpacs.Mastet NuGet package to the project.

Does this meet the goal?

Reveal Solution Hide Solution
Correct Answer: B

The package named Microsoft.SqlServer.Dacpacs.Master is the generic master system DACPAC package, but the question requires the correct system objects for Azure SQL Database. Microsoft's system-objects documentation distinguishes platform-specific system references, and for Azure SQL Database the correct package is the Azure-specific master DACPAC, not the generic master package.

So adding Microsoft.SqlServer.Dacpacs.Master does not meet the goal for an Azure SQL Database-targeted SDK-style project. The expected package is the Azure-specific one.


Explore Other Microsoft Exams

Unlock Premium DP-800 Exam Questions with Advanced Practice Test Features:
  • Select Question Types you want
  • Set your Desired Pass Percentage
  • Allocate Time (Hours : Minutes)
  • Create Multiple Practice tests with Limited Questions
  • Customer Support
Get Full Access Now

Save Cancel