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Reading on a phone during a commute, printing pages for notes and marks, or running an interactive simulator on a PC: the three Microsoft Developing AI-Enabled Database Solutions formats on ExamsTorrent cover all of these DP-800 study styles.
Microsoft DP-800 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Integrate AI capabilities with database systems | - Use Azure AI services with database workloads - Implement AI-assisted data processing |
| Topic 2: Design and implement data solutions | - Implement data storage and data processing solutions - Design database solutions using Azure data services |
| Topic 3: Develop and manage database solutions | - Optimize performance and scalability - Ensure security and compliance of data solutions |
| Topic 4: Monitor, troubleshoot, and maintain solutions | - Monitoring database health and performance - Troubleshooting data pipeline issues |
Questions and Answers About Microsoft Developing AI-Enabled Database Solutions
Microsoft Learn - Azure Data & AI Learning Paths: Visit official page
Microsoft Certification Dashboard: register for DP-800
The package includes 101 practice questions for the DP-800 exam, all with verified answers. The same content is available in three formats, so you can switch freely.
The PDF reads on phones, tablets, and computers, and it prints cleanly for candidates who like marking notes on paper. The PC file is an interactive simulator that makes rehearsal engaging. The online file is the updated edition of the PC version: intelligent functions, real-test simulation, and no limit on installation devices. All three carry the same questions and answers.
No formal prerequisites required, but familiarity with Azure data services and database concepts is recommended
- Monitor, troubleshoot, and maintain solutions ()
- Integrate AI capabilities with database systems ()
- Design and implement data solutions ()
Plan your hours according to each topic's weight.
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Microsoft Developing AI-Enabled Database Solutions Sample Questions:
You have an Azure SQL database that contains a table named dbo.Orders.
You have an application that calls a stored procedure named dbo.usp_tresteOrder to insert rows into dbo.
Orders.
When an insert fails, the application receives inconsistent error details.
You need to implement error handling to ensure that any failures inside the procedure abort the transaction and return a consistent error to the caller.
How should you complete the stored procedure? To answer, drag the appropriate values to the correct targets, tach value 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:
After the INSERT # SET @OrderId = SCOPE_IDENTITY()
Inside CATCH # IF @@TRANCOUNT > 0 ROLLBACK TRANSACTION
The correct drag-and-drop choices are:
SET @OrderId = SCOPE_IDENTITY()
IF @@TRANCOUNT > 0 ROLLBACK TRANSACTION
After the INSERT, the procedure should assign the newly generated identity value to the output parameter by using SCOPE_IDENTITY(). Microsoft documents that SCOPE_IDENTITY() returns the last identity value inserted in the same scope, which makes it the correct choice for returning the new OrderId from the procedure.
Inside the CATCH block, the procedure should use IF @@TRANCOUNT > 0 ROLLBACK TRANSACTION before THROW. This ensures any open transaction is rolled back only when one actually exists, which prevents transaction-state issues and guarantees the failure aborts the transaction cleanly.
Keeping THROW after the rollback is also the correct modern pattern because THROW re-raises the error to the caller with the original error information intact, giving consistent error behavior. This matches SQL Server best practice for TRY...CATCH transaction handling.
You have an Azure SQL database that contains a table named dbo.Customers. dbo.Customers contains the following columns:
* CustomerId (int)(primary key)
* ProfileJson (nvarchar(max))
You have an application that returns phone numbers in a format of +000 000-000-0000. The phone numbers are stored in ProfileJson.
You need to write a query that returns:
* One row per customer
* A PhoneNUmerals column that contains only the digits
How should you complete the Transact-SQL query? To answer, drag the appropriate values to the correct targets. Each value 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:
PhoneRaw extraction # JSON_VALUE(c.ProfileJson, ' $.contact.phone ' )
PhoneNumerals # REGEXP_REPLACE(p.PhoneRaw, ' [^0-9] ' , ' ' )
WHERE condition # p.PhoneRaw
The first correct selection is JSON_VALUE(c.ProfileJson, ' $.contact.phone ' ) because the phone number is stored as a scalar JSON property. Microsoft documents that JSON_VALUE extracts a scalar value from JSON text, whereas JSON_QUERY is intended for JSON objects or arrays.
The second selection is REGEXP_REPLACE(p.PhoneRaw, ' [^0-9] ' , ' ' ). The regular expression [^0-9] matches every character that is not a digit. Replacing all such characters with an empty string converts a formatted value such as:
+000 000-000-0000
into:
0000000000000
Microsoft documents that REGEXP_REPLACE returns the source string after occurrences matching the regular expression are replaced, and it applies to Azure SQL Database.
The final blank is p.PhoneRaw, producing:
WHERE p.PhoneRaw IS NOT NULL;
This excludes customers that do not have a phone value while preserving one output row for each customer that does.
The completed query is:
WITH PhoneCTE AS
(
SELECT DISTINCT
c.CustomerId,
JSON_VALUE(c.ProfileJson, ' $.contact.phone ' ) AS PhoneRaw
FROM dbo.Customers AS c
)
SELECT
p.CustomerId,
REGEXP_REPLACE(p.PhoneRaw, ' [^0-9] ' , ' ' ) AS PhoneNumerals
FROM PhoneCTE AS p
WHERE p.PhoneRaw IS NOT NULL;
Final drag-and-drop selections:
First target: JSON_VALUE(c.ProfileJson, ' $.contact.phone ' )
Second target: REGEXP_REPLACE(p.PhoneRaw, ' [^0-9] ' , ' ' )
Third target: p.PhoneRaw
You need to enable similarity search to provide the analysts with the ability to retrieve the most relevant health summary reports. The solution must minimize latency.
What should you include in the solution?
- A. a computed column that manually compares vector values
- B. a full-text index on the Fmbeddings (vector (1536)) column
- C. a vector index on the Embedding* (vector (1536)) column
- D. a standard nonclustered index on the Fmbeddings (vector (1536)) column
Correct Answer: C 🗳️
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. repository-wide
- B. agent-specific
- C. personal
- D. organization-wide
Correct Answer: C 🗳️
You have an SDK-style SQL database project named MyDatabaseProject.sqlproj stored in a private GitHub repository. The repository contains the following GitHub Actions workflow:
YAML
name: Build and Deploy SQL Project
on:
push:
branches:
- main
workflow_dispatch:
jobs:
build-and-deploy:
runs-on: ubuntu-latest
permissions:
id-token: write
contents: read
steps:
- uses: actions/checkout@v4
- name: Build SQL project
run: dotnet build MyDatabaseProject.sqlproj
- name: Publish DACPAC
uses: azure/sql-action@v2
Correct Answer:
Explanation:
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