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Microsoft DP-800 Exam Syllabus Topics:

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

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Microsoft Developing AI-Enabled Database Solutions Sample Questions (Q29-Q34):

NEW QUESTION # 29
Hotspot Question
Your company has an ecommerce catalog in a Microsoft SQL Server 2025 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(50))
- price (decimal)
- sku (nvarchar(40))
The description fields are updated daily 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.

Answer:

Explanation:


NEW QUESTION # 30
What is a common pattern for integrating LLMs with SQL?

Answer: A

Explanation:
RAG ensures accurate, up-to-date responses using SQL data.


NEW QUESTION # 31
You have an Azure container app named app1-contoso-001 that hosts a Data API builder (DAB) container in front of an Azure SQL database.
You add an entity named Todo that uses a source named dbo.todos.
Which URL pattern should clients use to access the Todo REST endpoint?

Answer: C

Explanation:
To access the REST endpoint for the Todo entity, clients should use the following URL pattern:
https://<your-container-app-url>/api/Todo
Base URL: The unique FQDN of your Azure Container App.
Path Prefix: By default, DAB uses /api for RESTful services.
Entity Name: You must use the Entity Name defined in the configuration (Todo), not the underlying source name (dbo.Todos).
Reference:
https://learn.microsoft.com/en-us/azure/container-apps/connect-apps


NEW QUESTION # 32
You have an Azure SQL database that contains the following SQL graph tables:
* A NODE table named dbo.Person
* An EDGE table named dbo.Knows
Each row in dbo.Person contains the following columns:
* Personid (int)
* DisplayName (nvarchar(100))
You need to use a HATCH operator and exactly two directed Knows relationships to return the Personid and DisplayName of people that are reachable from the person identified by an input parameter named
@startPersonid.
Which Transact-SQL query should you use?

Answer: D

Explanation:
The correct query is Option D because it starts from the input person and uses exactly two directed Knows edges in a single MATCH pattern:
MATCH(p1-(k1)- > p2-(k2)- > p3)
Microsoft documents that SQL Graph uses the MATCH predicate in the WHERE clause to express graph traversal patterns over node and edge tables, and directed relationships are written with arrow syntax such as node1-(edge)- > node2.
Why D is correct:
* It anchors the starting node with p1.PersonId = @StartPersonId.
* It traverses two directed hops : p1 - > p2 - > p3.
* It returns p3.PersonId, p3.DisplayName, which are the people reachable in exactly two Knows relationships.
Why the others are wrong:
* A filters on DisplayName = DisplayName, which is unrelated to the required input parameter and does not correctly anchor the start node.
* B reverses the traversal direction in the pattern.
* C uses two separate MATCH predicates instead of the required single two-hop directed pattern. The proper graph pattern syntax supports chaining the hops directly in one MATCH expression.


NEW QUESTION # 33
Hotspot Question
You have an SDK-style SQL database project named MyDatabaseProject.sqlprojstored in a private GitHub repository. The repository contains the following GitHub Actions workflow.

The repository contains the AZURE_SQL_CONNECTION_STRING secrets.
The target is an Azure SQL database that allows access to Azure services and is configured to support mixed authentication.
The workflow runs successfully.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 34
......

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