Microsoft DP-800 actual dump : Developing AI-Enabled Database Solutions

DP-800
  • Exam Code: DP-800
  • Exam Name: Developing AI-Enabled Database Solutions
  • Updated: Oct 13, 2026
  • Q & A: 89 Questions and Answers

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About Microsoft DP-800 Exam Questions

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Microsoft DP-800 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Developing AI-Enabled Database Solutions (DP-800)
Exam Number:DP-800
Passing Score:700/1000 (typical Microsoft passing score; subject to confirmation)
Certificate Validity Period:1 year (Microsoft role-based certifications require annual renewal)
Available Languages:English
Exam Format:Multiple choice, Case studies
Recommended Training:Microsoft Learn - Azure Data & AI Learning Paths
Exam Registration:Microsoft Certification Dashboard
Sample Questions:Free Download Latest DP-800 actual dumps
Exam Way:Online proctored or onsite testing center
Pre Condition:No formal prerequisites required, but familiarity with Azure data services and database concepts is recommended
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/

Microsoft DP-800 Exam Syllabus Topics:

SectionObjectives
Develop and manage database solutions- Ensure security and compliance of data solutions
- Optimize performance and scalability
Monitor, troubleshoot, and maintain solutions- Monitoring database health and performance
- Troubleshooting data pipeline issues
Integrate AI capabilities with database systems- Implement AI-assisted data processing
- Use Azure AI services with database workloads
Design and implement data solutions- Design database solutions using Azure data services
- Implement data storage and data processing solutions

DP-800 Exam FAQ: Read This Before You Register

Microsoft Developing AI-Enabled Database Solutions is an official Microsoft certification exam, identified by exam code DP-800. Passing earns you the Microsoft Certified: Developing AI-Enabled Database Solutions certification, classified at the Associate level. In hiring, certificates work as a quick, quantitative standard, and this one tells employers your skills passed the vendor's own measurement.

No formal prerequisites required, but familiarity with Azure data services and database concepts is recommended

Because vendors adjust their policies, verify the current requirements before registering on the official exam page.

Registration for Microsoft Developing AI-Enabled Database Solutions goes through the official channels below.

For planning purposes, note that the exam is delivered Online proctored or onsite testing center.

Microsoft recommends these training options for Microsoft Developing AI-Enabled Database Solutions candidates.

Whatever training path you take, finish it with question practice: the 89 items in the Actual4Dumps DP-800 package are where knowledge turns into exam-day scoring ability.

Yes. Actual4Dumps provides a free PDF demo of the Microsoft Developing AI-Enabled Database Solutions questions, so you can evaluate the material before committing. After purchase, updates are free for 365 days, and when your product expires you can extend the update service at a 50% discount.

Your purchase is backed by a 100% money-back guarantee with transparent conditions. Take the Microsoft Developing AI-Enabled Database Solutions exam within 60 days of purchase; if you fail, you qualify for a full refund, provided the exam matches your product. Attempts within 3 days of purchase do not qualify, and neither do downloaded-but-unused products, free materials, or expired orders; the candidate name must match the payer name. File with a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are processed within 7 days. You may instead choose an exchange: two other exam products of equal value, free, while your original purchase keeps its update service.

Delivery is immediate: files are downloadable at payment and emailed to you within one minute. If nothing arrives within 2 hours, check spam and contact customer service. Installation is unlimited across your computers.

The Microsoft Developing AI-Enabled Database Solutions syllabus is organized into 4 domains, with the largest being Develop and manage database solutions, Monitor, troubleshoot, and maintain solutions, and Design and implement data solutions. The complete breakdown appears in the topics section above; a clear classification of what the exam tests is the first step toward efficient preparation.

Microsoft Developing AI-Enabled Database Solutions Sample Questions:

Question #1

Your company has an ecommerce catalog in a Microsoft SQL Server 202b database named SalesDB SalesDB contains a table named products, products contains the following columns:
* product.id (int)
* product_name (nvarchar(200))
* description (nvarchar(max))
* category (nvarchar(50))
* brand (nvarchar(W))
* price (decimal)
* sku (nvarchar(40))
The description fields ate updated dairy by a content pipeline, and price can change multiple times per day.
You want customers to be able to submit natural language queries and apply structured filters for brand and price. You plan to store embeddings in a new VECTOR(1536) column and use VECTOR_SEARCH(...
METRIC=' cosine ' ...).
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

The first statement is Yes . Embeddings are used to represent the semantic meaning of content, and vector search is for conceptually similar matches over that content. Here, the semantically meaningful fields are product_name, category, and description. Using those together supports natural-language search, while brand and price can be handled as structured filters outside the embedding itself. This is an inference from Microsoft's guidance that vector search works over embeddings representing content meaning, while filters remain part of the nonvector query pipeline.
The second statement is No . price changes multiple times per day and is a structured numeric attribute, not stable semantic content. Since the requirement already says customers can apply structured filters for brand and price , price does not need to be embedded into the text. Embedding volatile numeric values would also make embeddings stale faster without improving the semantic-search objective. This is again an inference grounded in Microsoft's distinction between vector similarity over content and filtering/sorting over nonvector fields.
The third statement is Yes . In SQL Server's vector type, the default underlying base type is float32 unless float16 is specified explicitly.

Question #2

You have an Azure SQL database named SalesDB that supports an ecommerce application. SalesDB contains a table named dbo.Orders that has a clustered index on a column named orderid.
dbo.Orders receives continuous OLTP inserts and updates during business hours.
Your analytics team runs hourly aggregate queries that scan dbo.Orders to calculate revenue trends for recent dates.
You need to improve the performance of the hourly analytics queries without significantly affecting OLTP throughput. The solution must meet the following requirements:
Support near-real-time (NRT) analytics on the dbo.Orders table.
Reduce read time when retrieving analytical data from dbo.Orders.
Support indexing only rows that match a predicate, such as Active = 1.
Which type of index should you use for each requirement? To answer, drag the appropriate index types to the correct requirements. Each index type 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.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Question #3

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.

Reveal Solution  Discussion  0

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.

Question #4

You have an Azure SQL database named SalesDB on a logical server named sales-sql01.
You have an Azure App Service web app named OrderApi that connects to SalesDB by using SQL authentication.
You enable a user-assigned managed identity named OrderApi-Id for OrderApi.
You need to configure OrderApi to connect to SalesDB by using Microsoft Entra authentication. The managed identity must have read and write permissions to SalesDB.
Which Transact-SQL statements should you run in SalesDB?

  • A. CREATE USER [OrderApi-Id] WITH PASSWORD = ' P@ssw0rd! ' ;
    ALTER ROLE db_datareader ADD MEMBER [OrderApi-Id];
    ALTER ROLE db_datawriter ADD MEMBER [OrderApi-Id];
  • B. CREATE USER [OrderApi-Id] FROM EXTERNAL PROVIDER;
    ALTER ROLE db_datareader ADD MEMBER [OrderApi-Id];
    ALTER ROLE db_datawriter ADD MEMBER [OrderApi-Id];
  • C. CREATE LOGIN [OrderApi-Id] WITH PASSWORD = ' P@ssw0rd! ' ;
    ALTER SERVER ROLE sysadmin ADD MEMBER [OrderApi-Id];
  • D. CREATE LOGIN [OrderApi-Id] FROM EXTERNAL PROVIDER;
    ALTER ROLE db_datareader ADD MEMBER [OrderApi-Id];
    ALTER ROLE db_datawriter ADD MEMBER [OrderApi-Id];
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #5

You have an Azure SQL database that contains a table named Rooms. Rooms was created by using the following transact-SQL statement.

You discover that some records in the Rooms table contain NULL values for the Owner field. You need to ensure that all future records have a value for the Owner field. What should you add?

  • A. a check constraint
  • B. a foreign key
  • C. a unique constraint
  • D. a nonclustered index
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for Actual4Dumps members. You can sign-up / login (it's free).

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