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Microsoft DP-800 Exam Syllabus Topics:

SectionWeightObjectives
Secure, optimize, and deploy database solutions35-40%- Optimize performance and reliability
  • 1. Ensure high availability and disaster recovery
  • 2. Monitor and troubleshoot performance
  • 3. Optimize queries and indexes
- Deploy and maintain solutions
  • 1. Implement CI/CD for databases
  • 2. Manage updates and versioning
  • 3. Deploy across SQL Server, Azure SQL, and Microsoft Fabric
- Secure database solutions
  • 1. Protect data at rest and in transit
  • 2. Implement compliance and auditing
  • 3. Implement authentication and authorization
Design and develop database solutions35-40%- Design database solutions
  • 1. Design for maintainability and DevOps integration
  • 2. Design for scalability and performance
  • 3. Design solutions for structured and semi-structured data
- Develop database solutions
  • 1. Implement data integration and transformation
  • 2. Write and optimize T-SQL code
  • 3. Implement database objects and structures
Implement AI capabilities in database solutions25-30%- Build intelligent search and retrieval
  • 1. Design and implement embedding pipelines
  • 2. Implement semantic search and RAG patterns
  • 3. Optimize search performance and relevance
- Use AI-assisted development tools
  • 1. Leverage AI tools for T-SQL development
  • 2. Validate and test AI-enhanced solutions
- Integrate AI models and services
  • 1. Create and manage external models
  • 2. Integrate with Azure AI services and Microsoft Foundry
  • 3. Implement vector data and embeddings

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Microsoft Developing AI-Enabled Database Solutions Sample Questions (Q58-Q63):

NEW QUESTION # 58
You have an Azure SQL database named SalesDB that supports an AI-enabled product search application.
SalesDB has a table named SalesLT.Product that contains the following columns:
* ProductID (int)
* Name (nvarchar(100))
* ListPrice (decimal(18,2))
You need to create an object that returns products priced above a caller-provided threshold. The solution must meet the following requirements:
* Support being used in a join.
* Accept one input parameter.
* Return a table result.

Answer:

Explanation:

Explanation:


NEW QUESTION # 59
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 " : " user@contoso.com " ,
...
}
Data analysis shows that some customers have subaddressing in their email address; for example, user1+promo@contoso.com.
You need to return a normalized email value that removes the subaddressing, for example, user1+promo@contoso.com must be normalized to user1@contoso.com.
Which Transact-SQL expression should you use?

Answer: A


NEW QUESTION # 60
You have a database named DB1. The schema is stored in a GitHub repository as an SDK style SQL database project.
You use a feature branch workflow to deploy changes to DB1
You need to update the local feature branch with the latest changes to main, and then create a pull request to merge the feature branch into main for review.
How should you complete the GitHub CLI script? 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.

Answer:

Explanation:

Explanation:

The correct sequence is:
* git fetch origin
* git merge origin/main
* gh pr create
This is the right workflow because the script starts on the local feature branch:
git checkout feature/db1-add-staticdata
To update that local feature branch with the latest changes from main, you first fetch the latest remote refs with git fetch origin , then merge the updated remote main branch into the current feature branch with git merge origin/main . After the feature branch is up to date, the correct GitHub CLI command to open the pull request is gh pr create . GitHub's CLI documentation shows that gh pr create is the command used to create a pull request, and supports flags such as --title, --body, --head, --base, --repo, and --web, which match the script shown in the question.
The other commands are not the best fit here:
* git checkout main would move you off the feature branch, which is not what you want before merging main into the feature branch.
* git pull origin main could update from remote main, but the script pattern here clearly separates fetching and then merging.
* gh pr merge merges an existing pull request, not create one.
* gh pr ready marks a draft PR as ready for review, but does not create the PR.


NEW QUESTION # 61
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?

Answer: B

Explanation:
The table definition allows Owner to be nullable because it was created as Owner nvarchar(100) without NOT NULL. Since the question asks what to add so that future rows must have a value, a check constraint such as CHECK (Owner IS NOT NULL) is the appropriate choice. Microsoft documents that check constraints validate future INSERT and UPDATE operations against the constraint condition.
The other options do not solve the requirement:
* A foreign key enforces referential integrity, not non-null entry by itself.
* A nonclustered index does not require values to be present.
* A unique constraint prevents duplicate values but still does not serve as the right mechanism here for enforcing presence across future writes. Microsoft's constraint documentation also notes that primary- key columns are implicitly NOT NULL, which helps distinguish nullability enforcement from other constraint types.


NEW QUESTION # 62
You have an Azure SQL database named SalesDB that has Query Store enabled SalesDB supports an Al- driven product search API.
User? report that the latency of the API increased immediately after the API was deployed and remains high.
You need to identity whether the latency increase was caused by an execution plan regression and, if so, decide which corrective action will restore a previous plan The solution must prevent any changes to the API code.
What should you use? To answer, drag the appropriate tools to the correct step. Each tool may be used once, more than once, or not at all. You may need to drag the split bat between panes or scroll to view content.
NOTE: Each correct selection is worth one Point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 63
......

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