BONUS!!! Download part of PassExamDumps DP-800 dumps for free: https://drive.google.com/open?id=1WG8dyWPOTYeADEZ9Pg52w6gn_Uu8-m-a
In peacetime, you may take months or even a year to review a professional exam, but with DP-800 exam guide, you only need to spend 20-30 hours to review before the exam, and with our DP-800 study materials, you will no longer need any other review materials, because our DP-800 study materials has already included all the important test points. At the same time, DP-800 Study Materials will give you a brand-new learning method to review - let you master the knowledge in the course of the doing exercise. You will pass the DP-800 exam easily and leisurely.
| Topic | Details |
|---|---|
| Topic 1 |
|
| Topic 2 |
|
| Topic 3 |
|
>> Reliable DP-800 Test Syllabus <<
PassExamDumps Developing AI-Enabled Database Solutions (DP-800) practice exam software went through real-world testing with feedback from more than 90,000 global professionals before reaching its latest form. The Microsoft DP-800 Exam Dumps are similar to real exam questions. Our Developing AI-Enabled Database Solutions (DP-800) practice test software is suitable for computer users with a Windows operating system.
NEW QUESTION # 23
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 # 24
Case Study 1 - Contoso
Existing Environment
Azure Environment
Contoso has an Azure subscription in North Europe that contains the corporate infrastructure.
The current infrastructure contains a Microsoft SQL Server 2017 database. The database contains the following tables.
The FeedbackJsoncolumn has a full-text index and stores JSON documents in the following format.
The support staff at Contoso never has the UNMASKpermission.
Problem Statements
Contoso is deploying a new Azure SQL database that will become the authoritative data store for the following:
* AI workloads
* Vector search
* Modernized API access
* Retrieval Augmented Generation (RAG) pipelines
Sometimes the ingestion pipeline fails due to malformed JSON and duplicate payloads.
The engineers at Contoso report that the following dashboard query runs slowly.
You review the execution plan and discover that the plan shows a clustered index scan.
VehicleIncidentReportsoften contains details about the weather, traffic conditions, and location. Analysts report that it is difficult to find similar incidents based on these details.
Requirements
Planned Changes
Contoso wants to modernize Fleet Intelligence Platform to support AI-powered semantic search over incident reports.
Security Requirements
Contoso identifies the following security requirements:
* Restrict the support staff from viewing Personally Identifiable Information (PII) data, which is full email addresses and phone numbers.
* Enforce row-level filtering so that analysts see only incidents for the fleets to which they are assigned. The analysts can be assigned to multiple fleets.
Database Performance and Requirements
Contoso identifies the following telemetry requirements:
* Telemetry data must be stored in a partitioned table.
* Telemetry data must provide predictable performance for ingestion and retention operations.
* latitude, longitude, and accuracyJSON properties must be filtered by using an index seek.
Contoso identifies the following maintenance data requirements:
* Ensure that any changes to a row in the MaintenanceEventstable updates the corresponding value in the LastModifiedUtccolumn to the time of the change.
* Avoid recursive updates.
AI Search, Embeddings, and Vector Indexing
Contoso plans to implement semantic search over incident data to meet the following requirements:
* Embeddings must be stored in dedicated Azure SQL Database tables.
* Embeddings must be generated from rich natural language fields.
* Chunking must preserve semantic coherence.
* Hybrid search must combine the following:
- Vector similarity
- Keyword filtering or boosting
Development Requirements
The development team at Contoso will use Microsoft Visual Studio Code and GitHub Copilot and will retrieve live metadata from the databases.
Contoso identifies the following requirements for querying data in the FeedbackJsoncolumn of the CustomerFeedbacktable:
* Extract the customer feedback text from the JSON document.
* Filter rows where the JSON text contains a keyword.
* Calculate a fuzzy similarity score between the feedback text and a known issue description.
* Order the results by similarity score, with the highest score first.
You need to recommend a solution for the development team to retrieve the live metadata. The solution must meet the development requirements. What should you include in the recommendation?
Answer: A
Explanation:
Scenario: Development Requirements
The development team at Contoso will use Microsoft Visual Studio Code and GitHub Copilot and will retrieve live metadata from the databases.
To retrieve live metadata from Azure SQL databases and use it with GitHub Copilot in Visual Studio Code (VS Code), you must use the SQL Server (mssql) extension. This extension provides the native capability to extract a database schema as a .dacpac file directly within the editor.
1. Export the Schema as a .dacpac File
You can extract the schema of your live Azure SQL database using the SQL Server (mssql) extension.
2. Load the .dacpac into GitHub Copilot Context
Once the .dacpac file is saved in your VS Code workspace, you can provide it as context to GitHub Copilot Chat using #-mentions or Drag & Drop.
Reference:
https://learn.microsoft.com/en-us/sql/tools/sql-database-projects/concepts/data-tier- applications/extract-dacpac-from-database
NEW QUESTION # 25
You have a Microsoft SQL Server 2025 instance that has a managed identity enabled.
You have a database that contains a table named dbo.ManualChunks. dbo.ManualChunks contains product manuals.
A retrieval query already returns the top five matching chunks as nvarchar(max)text.
You need to call an Azure OpenAI REST endpoint for chat completions. The solution must provide the highest level of security.
You write the following Transact-SQL code.
What should you insert at line 02?
Answer: D
Explanation:
To use a Managed Identity with sys.sp_invoke_external_rest_endpoint in SQL Server, you need to configure your database-scoped credential with the following specific values:
Required Settings
WITH IDENTITY: Must be set to Managed Identity.
SECRET: Must be set to SECRET = N'{"resourceid":"<value>"}'.
Example Statement
CREATE DATABASE SCOPED CREDENTIAL [MyManagedIdentityCredential]
WITH IDENTITY = 'Managed Identity',
SECRET = N'{"resourceid": "https://azure.com"}'; -- Or your specific resource URI Quick Breakdown Identity: Managed Identity tells SQL Server to use the instance's assigned Azure identity rather than a static key or token.
Secret: The resourceid inside the JSON string specifies the Audience (resource) for which the Managed Identity is requesting an access token (e.g., Azure Storage, Key Vault, or a custom API).
Reference:
https://learn.microsoft.com/en-us/azure/azure-sql/managed-instance/authentication-azure-ad- user-assigned-managed-identity-create-managed-instance
NEW QUESTION # 26
You need to meet the database performance requirements for maintenance data How should you complete the Transact-SQL code? 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:
* ON # m.maintenanceId = i.maintenanceId
* WHERE # m.LastModifiedUtc < > i.LastModifiedUtc
The correct drag-and-drop completion is:
* ON m.maintenanceId = i.maintenanceId
* WHERE m.LastModifiedUtc < > i.LastModifiedUtc
This satisfies the requirement to ensure that when a row in MaintenanceEvents changes, the corresponding LastModifiedUtc value is updated to the current system time, while also helping avoid unnecessary repeat updates.
The inserted pseudo-table in a SQL Server AFTER UPDATE trigger contains the rows that were just updated.
To update the matching row in the base table correctly, the trigger must join the target table row to the corresponding row in inserted by the table's primary key. In this schema, MaintenanceId is the primary key for MaintenanceEvents, so the correct join is m.maintenanceId = i.maintenanceId . Joining on VehicleId would be incorrect because multiple maintenance rows could exist for the same vehicle, which could update unintended rows. Microsoft's trigger documentation explains that inserted and deleted are used to work with the affected rows and that multi-row logic should be based on proper key matching.
The WHERE m.LastModifiedUtc < > i.LastModifiedUtc predicate is used to prevent the trigger from re- updating rows where the timestamp already matches the value in inserted. That reduces redundant writes and supports the requirement to avoid recursive or repeated update behavior. In practice, this means the trigger updates only rows whose current stored timestamp differs from the just-updated version. This is the exam- appropriate pattern for a self-updating timestamp column in an AFTER UPDATE trigger.
NEW QUESTION # 27
You have a Microsoft SQL Server 2025 instance that contains a database named SalesDB.
SalesDB supports a Retrieval Augmented Generation (RAG) pattern for internal support tickets.
The SQL Server instance runs without any outbound network connectivity.
You plan to generate embeddings inside the SQL Server instance and store them in a table for vector similarity queries.
You need to ensure that only a database user account named AIApplicationUser can run embedding generation by using the model.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: C,D
Explanation:
To implement a Retrieval Augmented Generation (RAG) pattern in an isolated SQL Server 2025 instance, you can use the new native vector capabilities to generate, store, and query embeddings without needing outbound internet access.
[E] 1. Enable External REST Endpoints
Because your instance is isolated, you must first enable the configuration that allows SQL Server to communicate with your internal Microsoft Foundry (or local) endpoint.
EXEC sp_configure 'external rest endpoint enabled', 1;
RECONFIGURE;
2. Create the External Model Project
Register your Microsoft Foundry REST endpoint as an external model. This allows SQL Server to treat the internal service as a registered provider for generating embeddings.
[C] 3. Grant Permission to a Specific User
To restrict embedding generation to a single specific database user, grant the EXECUTE permission on the newly created external model.
-- Granting EXECUTE only to the specific user 'AppUser'
GRANT EXECUTE ON EXTERNAL MODEL::[MyFoundryEmbeddingModel] TO [AppUser]; Use code with caution.
4. Generate and Store Embeddings
Use the AI_GENERATE_EMBEDDINGS function to process text into vectors and store them in a table with the new VECTOR data type.
Reference:
https://www.red-gate.com/simple-talk/databases/sql-server/sql-server-2025-create-external- model-and-ai_generate_embeddings-commands-explained/
NEW QUESTION # 28
......
With these real DP-800 Questions, you can prepare for the test while sitting on a couch in your lounge. Whether you are at home or traveling anywhere, you can do DP-800 exam preparation with our Microsoft DP-800 dumps. DP-800 test candidates with different learning needs can use our three formats to meet their needs and prepare for the Microsoft DP-800 test successfully in one go. Read on to check out the features of these three formats.
DP-800 Latest Braindumps Pdf: https://www.passexamdumps.com/DP-800-valid-exam-dumps.html
BTW, DOWNLOAD part of PassExamDumps DP-800 dumps from Cloud Storage: https://drive.google.com/open?id=1WG8dyWPOTYeADEZ9Pg52w6gn_Uu8-m-a