Microsoft DP-800考題 - DP-800最新題庫

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DP-800考題, DP-800最新題庫, DP-800學習資料, DP-800更新, DP-800資料

最熱門的DP-800認證考試是能夠改變您生活的IT認證考試，獲得Microsoft DP-800證書的IT專業人員的薪水要比沒有獲得證書的員工高出很多倍，他們的上升空間也很大，能帶來更好的工作機會。不要因為準備Microsoft DP-800而浪費過多時間，可以使用VCESoft網站提供的考古題資料，幫助您更有效率的準備DP-800考試。這是一個人可以讓您輕松通過DP-800考試的難得的學習資料，錯過這個機會您將會後悔。

Microsoft DP-800 考試大綱：

主題 簡介
主題 1
  • Secure, optimize, and deploy database solutions: This domain focuses on implementing data security measures like encryption, masking, and row-level security, optimizing query performance, managing CI
  • CD pipelines using SQL Database Projects, and integrating SQL solutions with Azure services including Data API builder and monitoring tools.
主題 2
  • Design and develop database solutions: This domain covers designing and building database objects such as tables, views, functions, stored procedures, and triggers, along with writing advanced T-SQL code and leveraging AI-assisted tools like GitHub Copilot and MCP for SQL development.
主題 3
  • Implement AI capabilities in database solutions: This domain covers designing and managing external AI models and embeddings, implementing full-text, semantic vector, and hybrid search strategies, and building retrieval-augmented generation (RAG) solutions that connect database outputs with language models.

>> Microsoft DP-800考題 <<

DP-800最新題庫 & DP-800學習資料

當然，當你在尋找DP-800考試資料的時候，肯定也會找到其他很多不同的資料。但是，經過調查或者親身試用你就會發現，VCESoft的資料是最適合你的考試準備工具。VCESoft的資料是專門為了沒有足夠的時間準備DP-800考試的考生們而開發的。它可以讓你在準備考試時節省更多的時間。而且，這個資料可以保證你一次通過考試。另外，VCESoft的資料是隨時在更新的。如果考試大綱和內容有變化，VCESoft可以給你最新的消息。

最新的 Microsoft Certified: SQL AI Developer DP-800 免費考試真題 (Q54-Q59):

問題 #54
You have an Azure SQL database named SalesDB
You have a Data API builder (DAB) instance that exposes the following entities in SalesDB
* A table entity named Order mapped to a table named dbo. Orders
* A stored procedure entity named FinalizeOrder mapped to a stored procedure named dbo.usp_FinalizeOrder The DAB runtime configuration includes the following permissions.

Client requests include a Microsoft Entra access token. The client also sends HTTP header x-MS-APl-ROlE:
operations for both REST and GraphQL requests.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

答案：

解題說明：

Explanation:
* A REST GET request to the order entity that includes the access token and x-MS-API-ROLE:
operations will return data. # No
* When DAB runs the stored procedure, the database policy defined on the FinalizeOrder entity will be enforced. # Yes
* If the client omits the x-MS-API-ROLE header but still sends the same access token, the order entity read request will run in the authenticated role context. # Yes The first statement is No . In Data API builder, when a valid token is sent with X-MS-API-ROLE, the request runs in that requested role if that role is present in the token . Here, that means the effective role becomes operations , not authenticated. But the order entity grants read only to the authenticated role, not to operations, so the GET request would not be authorized to return data.
The second statement is Yes . DAB evaluates the request against the permissions and policies configured for the effective role on the requested entity. The FinalizeOrder entity grants execute to role operations and includes a database policy of TenantId = @claims.tenantid, so that policy is part of the enforced authorization
/filtering behavior when the stored procedure entity is executed.
The third statement is Yes . If the client sends a valid access token without X-MS-API-ROLE, DAB uses the built-in Authenticated system role by default. Since the order entity allows read for the authenticated role, that read request runs in the authenticated role context.
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問題 #55
You have a SQL database in Microsoft Fabric that contains a nvarchar (max) column named MessageText. An ID is always contained within the first paragraph of MessageText.
You need to write a Transact-SQL query that uses REGEXP_SUBSTR to extract the ID from MessageText.
What should you include in the query?

  • A. Add a COLLATE Latin1_General_CS_AS clause to MessageText before calling REGEXP_SUBSTR.
  • B. Cast MessageText to nvarchar (4000) before calling REGEXP_SUBSTR.
  • C. Apply STRING_ESCAPE(MessageText, 'json') before calling REGEXP_SUBSTR.
  • D. Run TRY_CONVERT(varchar(max), MessageText) before calling REGEXP_SUBSTR.

答案：C

解題說明：
To extract an ID (e.g., alphanumeric) from the first paragraph of an nvarchar(max) column in Microsoft Fabric using STRING_ESCAPE, use STRING_SPLIT or CHARINDEX to isolate the first paragraph, apply STRING_ESCAPE, and a regex pattern.
Note: T-SQL does not natively support a REGEXP_SUBSTR function like Oracle/Snowflake. The solution below uses STRING_ESCAPE followed by pattern matching via PATINDEX and SUBSTRING to extract a typical alphanumeric ID.
Reference:
https://learn.microsoft.com/en-us/sql/t-sql/queries/contains-transact-sql


問題 #56
You have an Azure SQL database that stores order data.
A reporting query aggregates monthly revenue per customer runs frequently.
You need to reduce how long it takes to retrieve the calculated values. The solution must NOT alter any underlying table structure.
What should you do?

  • A. Create a view by using GROUP BY, and then create a unique clustered index on the view.
  • B. Create a view by using WITH SCHEMABINDING, include COUNT_BIG(*), and then create a unique clustered index on the view.
  • C. Create a view without using WITH SCHEMABINDING, and then create a nonclustered index on the view.
  • D. Create a view by using ORDER BY without TOP, and then create a unique clustered index on the view.

答案：B

解題說明：
Creating an indexed view using WITH SCHEMABINDING, including COUNT_BIG(*), and creating a unique clustered index is a valid and effective approach to significantly improve the performance of your frequent reporting query without altering the underlying table structure.
This process materializes the aggregated data and stores it physically in the database, so the query optimizer can read from the precomputed view rather than rescanning the base tables every time the query runs.
Reference:
https://learn.microsoft.com/en-us/sql/relational-databases/views/create-indexed-views


問題 #57
Drag and Drop Question
You have an Azure SQL database that stores sales data and contains tables named Sales and Products. Sales contains three columns named SalesDate, ProductKey, and TotalSale, Sales is 10 TB and is loaded nightly by using a batch process. Most reporting queries scan large portions of Sales, filter on SalesDate or ProductKey, and use SUM() to aggregate TotalSale.
Products is relatively small and is used primarily for point lookups and joins to Sales.
You need to recommend which indexes to create to optimize the reporting queries. The solution must minimize storage requirements.
Which type of index should you recommend for each table? To answer, drag the appropriate index types to the correct tables. Each index type 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.

答案：

解題說明：


問題 #58
Your team is developing an Azure SQL database solution from a locally cloned GitHub repository by using Microsoft Visual Studio Code and GitHub Copilot Chat.
You need to ensure that GitHub Copilot Chat uses the team's coding standards when generating Transact-SQL code in Visual Studio Code.
What should you use?

  • A. .vscode/settings.json
  • B. %APPDATA%\Code\User\copilot-instructions.md
  • C. %APPDATA%\Code\User\settings.json
  • D. .github/copilot-instructions.md

答案：D

解題說明：
o ensure GitHub Copilot Chat adheres to your team's specific Transact-SQL (T-SQL) standards while deploying an Azure SQL database from VS Code, you should focus on Custom Instructions and Workspace Context.
Required Setup
Create a .github/copilot-instructions.md File
This is the most effective way to enforce standards.
Create this file in the root of your repository.
Copilot automatically reads this file to understand project-specific rules.
Include sections for:
Naming conventions (e.g., PascalCase for tables, proc_ prefix for stored procedures).
Formatting rules (e.g., keywords in UPPERCASE, use of 4 spaces).
Security practices (e.g., always use schema prefixes, avoid SELECT *).
Reference:
https://nikolay-dev.medium.com/master-web-development-with-github-spark-ai-b0b874525418


問題 #59
......

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DP-800最新題庫: https://www.vcesoft.com/DP-800-pdf.html

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