精準的DP-800測試，高質量的考試資料幫助妳快速通過DP-800考試
你正在為了怎樣通過Microsoft的DP-800考試絞盡腦汁嗎？Microsoft的DP-800考試的認證資格是當代眾多IT認證考試中最有價值的資格之一。在近幾十年裏，IT已獲得了世界各地人們的關注，它已經成為了現代生活中不可或缺的一部分。其中，Microsoft的認證資格已經獲得了國際社會的廣泛認可。所以很多IT人士通過Microsoft的考試認證來提高自己的知識和技能。DP-800認證考試就是最重要的考試之一。這個認證資格能為大家帶來很大的好處。
Microsoft DP-800 考試大綱：
| 主題 | 簡介 |
|---|
| 主題 1 | - 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.
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| 主題 2 | - 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.
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| 主題 3 | - 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.
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>> DP-800測試 <<
Microsoft DP-800測試是行業領先材料＆DP-800：Developing AI-Enabled Database Solutions
DP-800認證考試是Microsoft 的認證考試中分量比較重的一個。但是要通過Microsoft DP-800認證考試不是那麼簡單。NewDumps為了給正在為DP-800認證考試的備考的考生減輕壓力，節約時間和精力，專門研究了多種培訓工具，所以在NewDumps你可以選擇適合你的快速培訓方式來通過考試。
最新的 Microsoft Certified: SQL AI Developer DP-800 免費考試真題 (Q64-Q69):
問題 #64
You have a SQL database in Microsoft Fabric that contains a column named Payload. Payload stores customer data in JSON documents that have the following format.
Data analysis shows that some customers have subaddressing in their email address, for example, user1+promo@contoso.com.
You need to return a normalized email value that removes the subaddressing, for example, user1
+promo@contoso.com must be normalized to user1@contoso.com.
Which Transact-SQL expression should you use?
- A. REGEXP_REPLACE(JSON_VALUE(Payload, '$.customer_email'), '\+.*$', '')
- B. REGEXP_REPLACE(JSON_VALUE(Payload, '$.customer_email'), '\+.*@', '@')
- C. REGEXP_REPLACE(JSON_VALUE(Payload, '$.customer_email'), '\+.*', '')
- D. REGEXP_SUBSTR(JSON_VALUE(Payload, '$.customer_email'), '