Preparing for a modern certification with paper alone is a choice, not a requirement. PracticeVCE brings the DP-800 exam into the electronic age with 89 practice questions for the Microsoft Developing AI-Enabled Database Solutions exam — printable when you want paper, digital everywhere else.
Microsoft DP-800 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Developing AI-Enabled Database Solutions |
| Exam Number: | DP-800 |
| Exam Format: | Active screen, Drag and drop, Multiple choice, Multiple select, Case studies |
| Available Languages: | Spanish, Portuguese (Brazil), Chinese (Simplified), French, Japanese, German, English, Korean |
| Exam Duration: | 100 minutes |
| Passing Score: | 700 (on a scale of 1-1000) |
| Certificate Validity Period: | 1 year (renewable annually via free online assessment) |
| Exam Price: | $165 USD |
| Real Exam Qty: | 40-60 |
| 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 |
|---|---|---|
| Secure, optimize, and deploy database solutions | 35-40% | - Deploy and maintain solutions
|
| Implement AI capabilities in database solutions | 25-30% | - Integrate AI models and services
|
| Design and develop database solutions | 35-40% | - Design database solutions
|
Your DP-800 Exam Questions, Answered Honestly
Microsoft lists these recommended training resources for the Microsoft Developing AI-Enabled Database Solutions exam:
Official training plus consistent self-testing is a proven combination — the 89 practice questions from PracticeVCE handle the second half.
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The Microsoft Developing AI-Enabled Database Solutions exam presents 40-60 with 100 minutes to complete them. Practicing under the same clock in the PracticeVCE Desktop Test Engine makes the real pacing feel routine.
Online proctored or onsite at Pearson VUE test centers Registration for the Microsoft Developing AI-Enabled Database Solutions exam goes through these official channels:
After booking, the PracticeVCE practice questions reach your inbox within 1 minute — preparation can start the same day.
The official Microsoft Developing AI-Enabled Database Solutions outline defines 3 domains. The leading three are Secure, optimize, and deploy database solutions (35-40%), Design and develop database solutions (35-40%), and Implement AI capabilities in database solutions (25-30%). See the complete list in the topics section above — the 89 practice questions at PracticeVCE cover every domain.
The DP-800 exam is a Microsoft certification exam built on the Microsoft Developing AI-Enabled Database Solutions syllabus shown above. As information technology keeps reshaping how industries operate, certified skills remain one of the most portable proofs of capability in 2026. PracticeVCE prepares you with 89 practice questions in PDF, Desktop Test Engine, and Online Test Engine formats.
Passing the Microsoft Developing AI-Enabled Database Solutions exam requires 700 (on a scale of 1-1000), and the registration fee is $165 USD. A retake costs the same amount again — a practical reason to verify your readiness with the PracticeVCE engines before booking.
The full Microsoft Developing AI-Enabled Database Solutions preparation set at an affordable, small-profits price: 89 practice questions in three formats — a printable, expert-prepared PDF with instant download; a Desktop Test Engine for Windows that simulates the real exam with two practice modes and works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. A free demo is available anytime, updates are free for 365 days, renewal afterward is 50% off, installations are unlimited, and checkout is McAfee-secured with automatic encryption of your personal information.
No mandatory prerequisites; recommended experience: T-SQL development, SQL Server/Azure SQL, CI/CD practices, basic AI concepts Policies change over time, so confirm the current rules on the official Microsoft exam page before scheduling.
Microsoft Developing AI-Enabled Database Solutions Sample Questions:
You have an Azure SQL database named SalesDB that contains tables named Sales.Orders and Sales.
OrderLines. Both tables contain sales data
You have a Retrieval Augmented Generation (RAG) service that queries SalesDB to retrieve order details and passes the results to a large language model (ILM) as JSON text. The following is a sample of the JSON.
You need to return one 1SON document per order that includes the order header fields and an array of related order lines. The LIM must receive a single JSON array of orders, where each order contains a lines property that is a JSON array of line Items.
Which transact-SQL commands should you use to produce the required JSON shape from the relational tables? To answer, drag the appropriate commands to the correct operations. Each command may be used once, more than once, or not at all. Vou 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:
* Serialize the order-level JSON : FOR JSON PATH
* Generate a nested lines array : JSON_QUERY
* Extract a single scalar value from the JSON text : JSON_VALUE
The correct mapping is based on how SQL Server and Azure SQL JSON functions are designed to shape relational data into JSON for AI and RAG scenarios.
To serialize the order-level JSON , use FOR JSON PATH . Microsoft documents that FOR JSON PATH gives you full control over the JSON output shape and formats the result as an array of JSON objects . It is the standard way to turn relational query results into the JSON structure needed by downstream consumers such as APIs and LLM-based RAG services. It also supports nested output through subqueries and aliases.
To generate a nested lines array , use JSON_QUERY . Microsoft explains that JSON_QUERY returns a JSON object or array from JSON text, and it is used when you want to preserve a JSON fragment instead of treating it as plain text. In this scenario, the nested lines property must be emitted as a proper JSON array inside each order document, so JSON_QUERY is the correct command to embed that array in the final JSON shape.
To extract a single scalar value from the JSON text , use JSON_VALUE . Microsoft explicitly states that JSON_VALUE extracts a scalar value from a JSON string, while JSON_QUERY is for objects or arrays. So whenever the requirement is to pull out one property such as an order number, currency code, or customer ID from JSON text, JSON_VALUE is the correct function.
The unused commands are not the best fit here:
* OPENJSON is primarily for parsing JSON into rows and columns, not for shaping relational tables into nested output.
* JSON_MODIFY is for updating JSON text, not generating the required output structure.
So the drag-and-drop answers are:
* Serialize the order-level JSON # FOR JSON PATH
* Generate a nested lines array # JSON_QUERY
* Extract a single scalar value from the JSON text # JSON_VALUE
You have a SQL database in Microsoft Fabric that contains a column named Payload. pay load stores customer data in JSON documents that have the following format.
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, user! + [email protected] must be normalized to [email protected].
Which Transact SQL expression should you use?
- A. REGEXP_REPLACE(JSON_VALUE(Payload, ' $.customer_email ' ), ' \+.*$ ' , ' ' )
- B. REGEXP_REPLACE(JSON_VALUE(Payload, ' $.customer_email ' ), ' \+.* ' , ' ' )
- C. REGEXP_REPLACE(JSON_VALUE(Payload, ' $.customer_email ' ), ' \+.*@ ' , ' @ ' )
- D. REGEXP_SUBSTR(JSON_VALUE(Payload, ' $.customer_email ' ), ' ^[^+]+@.*$ ' )
Correct Answer: C 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
You need to create a solution that meets the development requirements for retrieving the patient lists.
How should you complete the Transact-SQL code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
where exists 2. where p.PatientID = pr.PatientID Otherwise we filter PatientID twice. Having in the subquery does not work without group by and the date filter does not work without where.
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: B 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
Vou have a Microsoft Fabric workspace named Workspace1 that contains a SQL database named SalesDB and an API for GraphQL tern named SalesApi.
You have a Microsoft Entra group named SqlUsers.
From Workspace1, you assign permission to SalesApi as shown in the following exhibit.
The connection to SalesDB has the connectivity option configured as shown in the following exhibit.
SqlUsers has the Viewer role for Workspace1.
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
* The members of SqlUsers can modify the data in SalesDB via SalesApi. # No
* The members of SqlUsers can view the data in SalesDB via SalesApi. # No
* The members of SqlUsers can change the field mappings of SalesApi. # Yes For both viewing and modifying data through SalesApi, the key missing permission is Run Queries and Mutations . Microsoft's Fabric GraphQL documentation states that callers need Execute permissions for the GraphQL API , which correspond to the Run Queries and Mutations option, and with SSO connectivity they also need appropriate permissions on the underlying data source. In the exhibit, SqlUsers has View and Edit GraphQL item selected, but Run Queries and Mutations is not selected, so members cannot query or mutate data through the API.
The third statement is Yes because the group was explicitly granted View and Edit GraphQL item . That permission is the one that allows users to open and modify the GraphQL item itself, including schema-related configuration such as field mappings in the API item. The workspace Viewer role does not by itself grant query execution through the API, but the direct GraphQL item permission shown does allow editing the item.
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