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Microsoft DP-800 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Secure, optimize, and deploy database solutions (35–40%) | 35-40% | - Implement security
|
| Topic 2: Design and develop database solutions (35–40%) | 35-40% | - Design and implement relational database schemas
|
| Topic 3: Implement AI capabilities in database solutions (25–30%) | 25-30% | - Integrate Azure AI services
|
DP-800 Exam FAQ: Honest Answers Only
Three versions of the same study materials, each with its own character: a printable, expert-prepared PDF with free demo download and instant access; a Desktop Test Engine for Windows with customizable simulation and timed modes that works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. All 101 practice questions are identical across versions. Every purchase includes 365 days of free updates, a 50% renewal discount afterward, and unlimited computer installations.
No specific prerequisites, but candidates should have experience with SQL and a basic understanding of Azure services. Familiarity with AI or machine learning concepts is recommended. Since requirements change over time, confirm the latest on the official Microsoft exam page before scheduling.
The official Microsoft Developing AI-Enabled Database Solutions outline defines 3 domains. The leading three are Secure, optimize, and deploy database solutions (35–40%) (35-40%), Implement AI capabilities in database solutions (25–30%) (25-30%), and Design and develop database solutions (35–40%) (35-40%). The full list is in the topics section above, and ExamCost's 101 practice questions cover each one.
Microsoft recommends these training resources for the Microsoft Developing AI-Enabled Database Solutions exam:
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The DP-800 exam is a Microsoft certification exam validating the Microsoft Developing AI-Enabled Database Solutions syllabus shown above. It belongs to these credential paths: Microsoft Certified: SQL AI Developer Associate. Candidates in 2026 prepare for it with ExamCost's 101 practice questions, available as a printable PDF, a Windows Desktop Test Engine, and an Online Test Engine — three versions of the same materials.
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Microsoft Developing AI-Enabled Database Solutions Sample Questions:
You have a SQL database in Microsoft Fabric that contains a column named Payload. Payload stores customer data in JSON documents that have the following format:
JSON
{
" date " : " 2026-01-25 " ,
" customer_email " : " [email protected] " ,
...
}
Data analysis shows that some customers have subaddressing in their email address; for example, [email protected].
You need to return a normalized email value that removes the subaddressing, for example, [email protected] must be normalized to [email protected].
Which Transact-SQL expression should you use?
- A. SQLREGEXP_REPLACE(JSON_VALUE(Payload, ' $.customer_email ' ), ' \+.*@ ' , ' @ ' )
- B. SQLREGEXP_SUBSTR(JSON_VALUE(Payload, ' $.customer_email ' ), ' \+.*@ ' , ' @ ' )
- C. SQLREGEXP_REPLACE(JSON_VALUE(Payload, ' $.customer_email ' ), ' \+.* ' , ' ' )
- D. SQLREGEXP_REPLACE(JSON_VALUE(Payload, ' $.customer_email ' ), ' \+ ' , ' ' )
Correct Answer: B 🗳️
You have a GitHub Actions workflow that builds and deploys an Azure SQL database. The schema is stored in a GitHub repository as an SDK-style SQL database project.
Following a code review, you discover that you need to generate a report that shows whether the production schema has diverged from the model in source control.
Which action should you add to the pipeline?
- A. SqlPackage.exe /Action:Extract
- B. SqlPackage.exe /Action:DriftReport
- C. SqlPackage.exe /Action:Script
- D. SqlPackage.exe /Action:DeployReport
Correct Answer: B 🗳️
Explanation: Only visible for ExamCost members. You can sign-up / login (it's free).
You have an Azure SQL database that contains a table named Tickets_Embeddings. Tickets_Embeddings contains a VECTOR(1536) column.
Embeddings are generated by using text-embedding-ada-002 and the /openai/v1/embeddings endpoint.
After a review of the current environment, the following changes are requested:
The AI architect has recommended switching to text-embedding-3-small.
The security team requires authentication by using Microsoft Entra managed identities only. Storing API keys in an application is prohibited.
Which two actions should you include in the solution? Each correct answer presents a part of the solution.
NOTE: Each correct selection is worth one point.
- A. Change the primary keys for the tickets.
- B. Change the endpoint.
- C. Alter the database tables.
- D. Regenerate all the embeddings.
- E. Add a firewall rule.
Correct Answer: B,D 🗳️
You have an Azure SQL table that contains the following data.
You need to retrieve data to be used as context for a large language model (LLM). The solution must minimize token usage.
Which formal should you use to send the data to the LLM?
- A.
- B.
- C.
- D.
Correct Answer: D 🗳️
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You have an Azure SQL database that contains tables named dbo.ProduetDocs and dbo.
ProductuocsEnbeddings. dbo.ProductOocs contains product documentation and the following columns:
* Docld (int)
* Title (nvdrchdr(200))
* Body (nvarthar(max))
* LastHodified (datetime2)
The documentation is edited throughout the day. dbo.ProductDocsEabeddings contains the following columns:
* Dotid (int)
* ChunkOrder (int)
* ChunkText (nvarchar(aax))
* Embedding (vector(1536))
The current embedding pipeline runs once per night
Vou need to ensure that embeddings are updated every time the underlying documentation content changes The solution must NOT ' equire a nightly batch process.
What should you include in the solution?
- A. table triggers
- B. fixed-size chunking
- C. change tracking on dbo.ProductDocs
- D. a smaller embedding model
Correct Answer: C 🗳️
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