Microsoft DP-800 Dumps (V8.02) – Reliable Study Material for Developing AI-Enabled Database Solutions Exam Preparation

1. You have an Azure SQL database that contains a table named dbo.ManualChunks. dbo.HonualChunks 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 endpomt for chat completions. The request body must include both the user question and theretiieved chunks.

You write the following Transact-SQL code.





What should you insert at line 22?

2. HOTSPOT

You have an Azure SQL database that contains a table named knowledgebase, knowledgebase stores human resources (HR) policy documents and contains columns named title, content, category, and embedding.

You have an application named App1. App1 queries two relational tables named employee_pnofiles and benefits_enrollnent that contain HR data. App1 hosts a chatbot that calls a large language model (LLM) directly.

Users report that the chatbot answers general HR questions correctly but provides outdated or incorrect answers when policies change. The chatbot also fails to answer questions that reference internal policy documents by title or category.

You need to recommend a Retrieval Augmented Generation (RAG) solution to resolve the chatbot issues.

What should you recommend? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

3. You need to design a generative Al solution that uses a Microsoft SOL Server 2025 database named

DB1 as a data source.

The solution must generate responses that meet the following requirements:

• Ait' grounded In the latest transactional and reference data stored in D61

• Do NOT require retraining or fine-tuning the language model when the data changes

• Can include citations or references to the source data used in the response

Which scenario is the best use case for implementing a Retrieval Augmented Generation (RAG) pattern? More than one answer choice may achieve the goal. Select the BEST answer

4. HOTSPOT

You have an Azure Al Search service and an index named hotels that includes a vector Held named DescriptionVector.

You query hotels by using the Search Documents REST API.

You add semantic ranking to the hybrid search query and discover that some queries return fewer results than expected, and captions and answers are missing.

You need to complete the hybrid search request to meet the following requirements:

• Include more documents when ranking.

• Always include captions and answers.

5. HOTSPOT

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.

6. 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 AlApplicationUser 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.

7. HOTSPOT

You have an Azure SQL database that contains the following tables and columns.


Embeddings in the NotesEnbeddings and DescriptionEabeddings tables have been generated from values in the Description and notes columns of the Articles table by using different chunk sizes.

You need to perform approximate nearest neighbor (ANN) queries across both embedding tables.

The solution must minimize the impact of using different chunk sizes.

What should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

8. 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-SG1 code.





What should you insert at line 02?

A)





B)





C)





D)





E)

9. Topic 1, Contoso Case Study


Existing 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 FeedbackJson column has a full-text index and stores JSON documents in the following format.


The support staff at Contoso never has the unmask permission.


Requirements

Contoso is deploying a new Azure SQL database that will become the authoritative data store for the following;

• Al 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.

SELECT VehicleTd, Lastupdatedutc, EngineStatus, BatteryHealth FROM dbo.VehicleHealthSumary where fleetld - gFleetld ORDER BV LastUpdatedUtc DESC;

You review the execution plan and discover that the plan shows a clustered index scan.

vehicleincident Reports often contains details about the weather, traffic conditions, and location.

Analysts report that it is difficult to find similar incidents based on these details.


Planned Changes

Contoso wants to modernize Fleet Intelligence Platform to support Al-powered semantic search over incident reports.


Security 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 accuracy JSON 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 MaintenanceEvents table updates the corresponding value in the LastModif reduce column to the time of the change.

• Avoid recursive updates.


AI Search, Embedding’s, and Vector indexing

The development learn 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 FeedbackJson column of the customer-Feedback table:

• 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 generate embeddings to resolve the issues identified by the analysts.

Which column should you use?

10. You have an Azure SQL database That contains a table named dbo.Products, dbo.Products contains three columns named Embedding Category, and Price. The Embedding column is defined as VECTOR(1536).

You use Ai_GENERME_EMBEDOINGS and VECTOR_SEARCH to support semantic search and apply additional filters on two columns named Category and Price.

You plan to change the embedding model from text-embedding-ada-002 to text-embedding-3-smalL

Existing rows already contain embeddings in the Embedding column.

You need to implement the model change. Applications must be able to use VECTOR_SEARCH without runtime errors.

What should you do first?

11. You need to recommend a solution that will resolve the ingestion pipeline failure issues.

Which two actions should you recommend? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

12. DRAG DROP

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.

13. HOTSPOT

You have a SQL database in Microsoft Fabric named Sales BD that contains a table named dbo.Products.

You need to modify SalesBD to meet the following requirements:

• Create a vector index on the appropriate column.

• Use a supplied natural language query vector.

How should you complete the Transact-SQL code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

14. DRAG DROP

You have an Azure SQL database named DB1 that contains two tables named knowledgebase and query_cache. knowledge_base contains support articles and embeddings. query_cache contains chat questions, responses, and embeddings DB1 supports an Al-enabled chat agent.

You need to design a solution that meets the following requirements:

• Serializes the retrieved rows from knowledee_base

• Extracts the answer field from the response

• Extracts the embeddings to store in query_cache

You will call the external large language model (LLM) by using the sp_irwoke_external_re standpoint stored procedure.

Which Transact-SGL commands should you use for each requirement? To answer, drag the appropriate commands to the correct requirements. Each command may be used once, mote 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.

15. You have an Azure SQL table that contains the following data.





You need to retrieve data to be used as context for a large language model (LLM). The solution must minimize token usage.

Which formal should you use to send the data to the LLM?

A)





B)





C)





D)

16. HOTSPOT

You need to create a table in the database to store the telemetry data.

You have the following Transact-SQL code.

17. You need to recommend a solution to lesolve the slow dashboard query issue.

What should you recommend?

18. Vou have an Azure SQL database named SalesDB that contains a table named dbo. Articles, dbo.Articles contains two million articles with embeddmgs. The articles are updated frequently throughout the day.

You query the embeddings by using VECTOR_SEARQi

Users report that semantic search results do NOT reflect the updates until the following day.

Vou need to ensure that the embeddings are updated whenever the articles change. The solution must minimize CPU usage on SalesDB

Which embedding maintenance method should you implement?

19. Topic 2, Misc. Questions Types


DRAG DROP

You have an Azure SQL database named SalesDB that contains tables named Sales.Orders and Sales.OrderLines. Both tables contain sales data

You have a Retrieval Augmented Generation (RAG) service that queries SalesDB to retrieve order details and passes the results to a large language model (ILM) as JSON text. The following is a sample of the JSON.


You need to return one 1SON document per order that includes the order header fields and an array of related order lines. The LIM must receive a single JSON array of orders, where each order contains a lines property that is a JSON array of line Items.

Which transact-SQL commands should you use to produce the required JSON shape from the relational tables? To answer, drag the appropriate commands to the correct operations. Each command may be used once, more than once, or not at all. Vou may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.

20. HOTSPOT

You are creating a table that will store customer profiles.

You have the following Transact-SQL code.


For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE:

Each correct selection Is worth one point.

21. 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?

22. You have an Azure SQL database that contains tables named dbo.ProduetDocs and dbo.ProductuocsEnbeddings. dbo.ProductOocs contains product documentation and the following columns:

• Docld (int)

• Title (nvdrchdr(200))

• Body (nvarthar(max))

• LastHodified (datetime2)

The documentation is edited throughout the day. dbo.ProductDocsEabeddings contains the following columns:

• Dotid (int)

• ChunkOrder (int)

• ChunkText (nvarchar(aax))

• Embedding (vector (1536))

The current embedding pipeline runs once per night

Vou need to ensure that embeddings are updated every time the underlying documentation content changes. The solution must NOT 'equire a nightly batch process.

What should you include in the solution?

23. HOTSPOT

You need to meet the development requirements for the FeedbackJson column

How should you complete the Transact SQL query? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

24. HOTSPOT

You have an Azure SQL database that contains a table named stores, stores contains a column named description and a vector column named embedding.

You need to implement a hybrid search query that meets the following requirements:

• Uses full-text search on description for the keyword portion

• Returns the top 20 results based on a combined score that uses a weighted formula of 60% vector distance and 40% full-text rank

How should you configure the query components? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

25. 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?