많은 시간과 돈이 필요 없습니다. 30분이란 특별학습가이드로 여러분은Microsoft DP-800인증시험을 한번에 통과할 수 있습니다, Pass4Test에서Microsoft DP-800시험자료의 문제와 답이 실제시험의 문제와 답과 아주 비슷한 덤프만 제공합니다.
| 주제 | 소개 |
|---|---|
| 주제 1 |
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| 주제 2 |
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| 주제 3 |
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인재도 많고 경쟁도 치열한 이 사회에서 IT업계 인재들은 인기가 아주 많습니다.하지만 팽팽한 경쟁률도 무시할 수 없습니다.많은 IT인재들도 어려운 인증시험을 패스하여 자기만의 자리를 지켜야만 합니다.우리 Pass4Test에서는 마침 전문적으로 이러한 IT인사들에게 편리하게 시험을 패스할수 있도록 유용한 자료들을 제공하고 있습니다. Microsoft 인증DP-800인증은 아주 중요한 인증시험중의 하나입니다. Pass4Test의Microsoft 인증DP-800로 시험을 한방에 정복하세요.
질문 # 64
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?
정답：B
설명：
The requirement is to ensure embeddings are updated every time the underlying content changes without relying on a nightly batch job. The right design is to enable change tracking on the source table so an external process can identify which rows changed and regenerate embeddings only for those rows. Microsoft documents that change detection mechanisms are used to pick up new and updated rows incrementally , which is the right pattern when you need near-continuous refresh instead of full nightly rebuilds.
This is better than:
* A. fixed-size chunking , which affects chunk strategy but not change detection.
* B. a smaller embedding model , which affects model cost/latency but not update triggering.
* C. table triggers , which would push embedding-maintenance logic directly into write operations and is generally not the best design for AI-processing pipelines. The question specifically asks for a solution that replaces the nightly batch requirement, not one that performs heavyweight work inline during every transaction.
질문 # 65
You have a database named DB1. The schema is stored in a Git repository as an SDK-style SQL database project.
You have a GitHub Actions workflow that already runs dotnet build and produces a database artifact.
You need to add a deployment step that publishes the .dacpac file to an Azure SQL database by using the secrets stored in GitHub repository secrets.
What should you include in the workflow?
정답：A
설명：
To deploy your .dacpac to Azure SQL using GitHub Actions, you should use the official azure/sql- action@v2. This action is designed specifically to take the output of your dotnet build and publish it.
Assuming your build step is already working, here is how you structure the deployment job.
GitHub Actions Workflow Snippet
Add this job to your .yml file. It depends on your build job (usually named build) and runs on a runner with the Azure CLI installed (like ubuntu-latest).
- name: Deploy SQL Schema
uses: azure/sql-action@v2
with:
connection-string: ${{ secrets.AZURE_SQL_CONNECTION_STRING }}
path: './bin/Release/netstandard2.1/YourDatabase.dacpac' # Path to your .dacpac action: 'publish' Incorrect:
[Not A]
Use connection-string: ${{ secrets.AZURE_SQL_CONNECTION_STRING }}
[Not B]
Action set to publish, not to extract.
[Not D]
Use azure/sql-action@v2.
Reference:
https://stackoverflow.com/questions/75490960/github-actions-dotnet-publish-specify-a-project- with-a-dot-in-the-name
질문 # 66
You are developing an Azure SQL solution by using Microsoft Visual Studio 2026. The solution uses a GitHub repository.
You plan to use GitHub Copilot Chat to access the GitHub repository tools by connecting to the GitHub MCP Server.
You need to configure Visual Studio to support the planned configuration. The solution must rely on OAuth to access the MCP server.
What should you create?
정답：A
설명：
In this scenario, you need to create an mcp.json file. This file acts as the configuration bridge that tells Visual Studio 2026 and GitHub Copilot Chat how to connect to and communicate with the GitHub MCP Server.
Key Configuration Details
The mcp.json file is typically placed in your solution's root directory or a specific .mcp folder to enable project-specific tools Configuration Steps
1. Create the MCP Configuration File
You must define the connection to the GitHub MCP server so Copilot Chat can interact with your repository tools.
File Name: mcp.json
Location: Usually placed in %AppData%\Microsoft\VisualStudio\2026\mcp.json (or the project root depending on your specific extension settings).
Content:
{
"mcpServers": {
"github": {
"url": "https://api.githubcopilot.com/mcp/",
"auth": "OAuth"
}
}
}
2. Authenticate via OAuth
3. Connect Azure SQL in VS 2026
Reference:
https://www.workato.com/the-connector/mcp-server-tutorial/
질문 # 67
Hotspot Question
You have an Azure SQL database named ProductsDB.
You deploy Data API builder (DAB) to Azure Container Apps.
You discover that the container app cannot connect to ProductsDB.
Your development team reports that the container app is unreachable from the internet for integration tests.
You need to update Azure SQL Database and Container Apps to meet the following requirements:
- Ensure that the Azure SQL logical server allows connections from
Azure services.
- Ensure that the Container Apps environment accepts inbound requests
from the public internet.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
정답：
설명：
질문 # 68
You have an Azure SQL database that contains a table named Table1. Table1 contains 25,000,000 rows of data and a datetime2 column named DateKey. The data in Table1 spans the years 2020 through 2021.
You need to partition the data in Table1 by year. The solution must minimize how long it takes to rebuild or reindex the table.
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.
정답：
설명：
Explanation:
* Partition range # RANGE RIGHT
* Boundary values # ' 2020-01-01 00:00:00 ' , ' 2021-01-01 00:00:00 '
Comprehensive and Detailed Explanation with all Developing AI-Enabled Database Solutions documents : = The correct configuration is to use RANGE RIGHT with boundary values at the start of each year :
CREATE PARTITION FUNCTION PartitionByYear (datetime2)
AS RANGE RIGHT
FOR VALUES (
' 2020-01-01 00:00:00 ' ,
' 2021-01-01 00:00:00 '
);
Microsoft documents that with RANGE RIGHT , each boundary value belongs to the partition on its right .
For date-based partitioning, this is the natural pattern because a boundary such as 2021-01-01 becomes the lower boundary of the 2021 partition.
With these boundaries, the resulting ranges are effectively:
* Partition 1: dates before 2020-01-01
* Partition 2: 2020-01-01 through before 2021-01-01
* Partition 3: 2021-01-01 and later
This cleanly separates the 2020 and 2021 data into year-aligned partitions. Microsoft specifically recommends RANGE RIGHT for date-based boundaries because the first day of a period remains in the same partition as the rest of that period.
The other boundary choices are incorrect or less appropriate:
* Using year-end timestamps with RANGE LEFT is more cumbersome and can be sensitive to datetime2 precision.
* Monthly boundaries would partition by month, not year.
* Including 2019 and a 2021-12-31 23:59:59 boundary creates unnecessary partitions and is not the cleanest year-based design.
Therefore:
* First dropdown: RANGE RIGHT
* Second dropdown: ' 2020-01-01 00:00:00 ' , ' 2021-01-01 00:00:00 '
질문 # 69
......
Microsoft DP-800 시험을 한번에 합격할수 없을가봐 두려워 하고 계시나요? 이 글을 보고 계신 분이라면 링크를 클릭하여 저희 사이트를 방문해주세요. 저희 사이트에는Microsoft DP-800 시험의 가장 최신 기출문제와 예상문제를 포함하고 있는 Microsoft DP-800덤프자료를 제공해드립니다.덤프에 있는 문제와 답을 완벽하게 기억하시면 가장 빠른 시일내에 가장 적은 투자로 자격증 취득이 가능합니다.
DP-800합격보장 가능 덤프공부: https://www.pass4test.net/DP-800.html