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- Total Questions: 101
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- Total Questions: 101
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Microsoft DP-800 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Developing AI-Enabled Database Solutions |
| Exam Number: | DP-800 |
| Certificate Validity Period: | 1 year (renewable annually via free online assessment) |
| Exam Price: | $165 USD |
| Available Languages: | German, English, French, Portuguese (Brazil), Japanese, Chinese (Simplified), Spanish, Korean |
| Exam Format: | Multiple select, Case studies, Drag and drop, Multiple choice, Active screen |
| Exam Duration: | 100 minutes |
| Real Exam Qty: | 40-60 |
| Passing Score: | 700 (on a scale of 1-1000) |
| Recommended Training: | Microsoft Learn DP-800 Learning Path |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended experience: T-SQL development, SQL Server/Azure SQL, CI/CD practices, basic AI concepts |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-800 |
Microsoft DP-800 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement AI capabilities in database solutions | 25-30% | - Build intelligent search and retrieval
|
| Design and develop database solutions | 35-40% | - Develop database solutions
|
| Secure, optimize, and deploy database solutions | 35-40% | - Deploy and maintain solutions
|
Frequently Asked Questions About Microsoft Developing AI-Enabled Database Solutions
The DP-800 exam leads to the Microsoft Certified: SQL AI Developer Associate certification, a Associate-level credential from Microsoft. It validates the skills measured by the Microsoft Developing AI-Enabled Database Solutions syllabus and is a recognized step for IT professionals building their careers.
The Microsoft Developing AI-Enabled Database Solutions exam includes 40-60 questions and gives you 100 minutes to complete them. That works out to a fairly tight pace, so reading each question carefully but decisively matters more than perfectionism. If a question stalls you, flag it and move on; banking the easier points first keeps time pressure from snowballing near the end. Before test day, run at least one full timed session with the Exams4sures practice test so the rhythm feels familiar rather than rushed.
You need 700 (on a scale of 1-1000) to pass the DP-800 exam, and the official registration fee is $165 USD. Keep in mind that a failed attempt means paying the full fee again to retake the exam, so it pays to be honest with yourself before booking a seat. A practical benchmark: work through the 101 practice questions at Exams4sures until you can score comfortably above the passing line in timed mode, then schedule your exam.
No mandatory prerequisites; recommended experience: T-SQL development, SQL Server/Azure SQL, CI/CD practices, basic AI concepts Because Microsoft may adjust its policies over time, we recommend confirming the latest requirements on the official exam page (official exam page) before you register.
You can sign up for the Microsoft Developing AI-Enabled Database Solutions exam through any of the official registration channels below:
As for how the exam is delivered: Online proctored or onsite at Pearson VUE test centers.
Microsoft suggests the following training options for candidates preparing for Microsoft Developing AI-Enabled Database Solutions:
Formal training is a solid foundation, and pairing it with the 101 practice questions from Exams4sures helps you turn that knowledge into exam-day confidence.
Yes. Exams4sures offers a free PDF demo of the Microsoft Developing AI-Enabled Database Solutions material, so you can review the question style and answer quality before making a decision. Every purchase also includes 365 days of free updates, and after that period you can extend your updates at a 50% discount, which keeps your preparation current through 2026 and beyond.
If you take the Microsoft Developing AI-Enabled Database Solutions exam within 60 days of your purchase and do not pass, Exams4sures offers a full refund under its Money Back Guarantee. To apply, send a scanned copy of your exam enrollment slip together with your official Score Report in PDF format within 2 days of the exam date, and your claim will be processed within 7 days. The guarantee applies only to the corresponding exam: attempts made within 3 days of purchase, exams downloaded but never actually taken, free materials, and expired orders are not eligible, and the candidate name must match the purchaser name. If you would rather not take a refund, you can exchange your product for two additional exam preparation products of equal value and keep the update service on your original purchase. Delivery itself is instant: your product is available for download right after payment and is also sent to your email within one minute, and if it has not arrived within 2 hours, contact our support team. There is no limit on how many computers you can install it on.
The Microsoft Developing AI-Enabled Database Solutions syllabus is divided into 3 main domains, including Secure, optimize, and deploy database solutions (35-40%), Design and develop database solutions (35-40%), Implement AI capabilities in database solutions (25-30%). Each domain carries a different share of the total score, so knowing where the weight sits helps you allocate your study time wisely. You will find the complete, up-to-date outline in the Exam Topics section above.
Microsoft Developing AI-Enabled Database Solutions Sample Questions:
You have an Azure SQL database named ProductsDB.
You deploy Data API builder (DAB) to Azure Container Apps by using the [mcr.microsoft.com/azure- databases/data-api-builder:latest](https://mcr.microsoft.com/azure-databases/data-api-builder:latest) image.
The container app has the following configurations:
Secrets: mssql-connection-string, dab-config-base64
Environment variables:
MSSQL_CONNECTION_STRING=secretref:mssql-connection-string
DAB_CONFIG_BASE64=secretref:dab-config-base64
Ingress: External on port 5000
Users report that the /health endpoint returns a healthy response, but all requests that query an entity named Products fail and generate a connection error.
You confirm that the SQL login in the connection string is correct and the database exists.
You need to ensure that the container app can establish connections to the Azure SQL logical server without changing the container app deployment settings or the DAB configuration file.
What should you do on the Azure SQL logical server?
- A. Create an auto-failover group for ProductsDB.
- B. Run DBCC CHECKDB on ProductsDB.
- C. Create a firewall rule that allows a start and end IP address of 0.0.0.0.
- D. Enable FORCE_LAST_GOOD_PLAN automatic tuning for ProductsDB.
Correct Answer: C 🗳️
You have an Azure SQL database named sqldb-ai-prod that stores customer support tickets for a multitenant software as a service (SaaS) application. sqldb-ai-prod contains a table named Tickets. Tickets contains columns named TenantId, TicketId, CustomerEmail, CustomerPhone, and Notes.
You plan to harden data access, since a new support team will use ad hoc reporting tools that connect directly to sqldb-ai-prod.
You need to configure security to meet the following requirements:
* Support agents must see only the rows of their own TenantId column.
* Support agents must see only the domain name portion of the CustomerEmail column.
What should you do for each requirement? To answer, drag the appropriate actions to the correct requirements. Each action may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation:
Verified answer:
Support agents must see only the rows of their own TenantId # Create a row-level security (RLS) predicate that uses the user context.
Support agents must see only the domain name portion of CustomerEmail # Configure dynamic data masking on selected columns.
Comprehensive and Detailed Explanation with all Developing AI-Enabled Database Solutions documents: = For the TenantId requirement, use Row-Level Security (RLS). RLS is designed to restrict which rows a database principal can access. A security predicate can compare the row ' s TenantId with tenant information derived from the current user ' s session or security context, so support agents querying the same Tickets table see only rows belonging to their own tenant. This is the correct multitenant isolation mechanism because it is enforced by the database rather than relying on individual reporting tools or application-side filtering.
For CustomerEmail, use Dynamic Data Masking (DDM). DDM controls how sensitive column values are displayed to users who do not have UNMASK permission. A partial masking rule can conceal the local/user- specific portion of an email address while exposing only the required portion, such as its domain, according to the masking configuration.
The remaining choices do not satisfy these specific requirements. Transparent Data Encryption (TDE) protects database files at rest but does not filter rows or selectively obscure query results. Always Encrypted protects sensitive values cryptographically and is appropriate when the database engine itself should not see plaintext, but it is not the right mechanism when support agents must deliberately see a controlled portion of an email address.
Final drag-and-drop selections:
Own TenantId rows # Create a row-level security (RLS) predicate that uses the user context Only domain portion of CustomerEmail # Configure dynamic data masking on selected columns
You have an Azure SQL database.
You deploy Data API builder (DAB) to Azure Container Apps by using the mcr.nicrosoft.com/azure-databases
/data-api-builder:latest image.
You have the following Container Apps secrets:
* MSSQL_COMNECTiON_STRrNG that maps to the SQL connection string
* DAB_C0HFT6_BASE64 that maps to the DAB configuration
You need to initialize the DAB configuration to read the SQL connection string.
Which command should you run?
- A. dab init --database-type mssql --connection-string " @env( ' MSSQL_CONNECTION_STRING ' ) " -- host-mode Production --config dab-config.json
- B. dab init --database-type mssql --connection-string " secretref:DAB_CONFIG_BASE64 " --host-mode Production --config dab-config.json
- C. dab init --database-type mssql --connection-string " secretref:mssql-connection-string " --host-mode Production --config dab-config.json
- D. dab init --database-type mssql --connection-string " @env( ' DAB_CONFIG_BASE64 ' ) " --host-mode Production --config dab-config.json
Correct Answer: A 🗳️
Explanation: Only visible for Exams4sures members. You can sign-up / login (it's free).
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 references 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.Azure.Master NuGet package to the project.
Does this meet the goal?
- A. Yes
- B. No
Correct Answer: A 🗳️
Explanation: Only visible for Exams4sures members. You can sign-up / login (it's free).
You have a GitHub Enterprise subscription.
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.
A mix of GitHub Copilot instructions is configured at different levels, including organization-wide, repository- wide, agent-specific, and personal.
Based on the GitHub Copilot instruction precedence rules, which instructions will take precedence over the others?
- A. personal
- B. repository-wide
- C. organization-wide
- D. agent-specific
Correct Answer: A 🗳️
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