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Microsoft DP-800 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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.
Topic 3
  • 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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DP-800 Authorized Test Dumps and Microsoft DP-800 Pdf Exam Dump: Developing AI-Enabled Database Solutions Exam Pass Once Try

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Microsoft Developing AI-Enabled Database Solutions Sample Questions (Q82-Q87):

NEW QUESTION # 82
You have an Azure AI Search service and an index named hotels that includes a vector field named DescriptionVector.
You query hotels by using the Search Documents REST API.
You need to implement a hybrid search query that uses DescriptionVector and includes captions.
How should you complete the REST request body? 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:
Verified Answer : =
* queryType # " semantic "
* semanticConfiguration # " hotels "
* captions # " extractive "
Comprehensive and Detailed Explanation with all Developing AI-Enabled Database Solutions documents : = The correct configuration is queryType: " semantic " , semanticConfiguration: " hotels " , and captions: " extractive " .
The request is already a hybrid search because it contains both a textual search value ( " ocean view " ) and a vectorQueries block targeting DescriptionVector . Microsoft documents that hybrid search executes full-text and vector searches together and merges their result sets. When semantic ranking is required, queryType must be set to " semantic " .
The semanticConfiguration value must reference the semantic configuration defined for the target index.
Since the index in this question is named hotels and the available answer choice is " hotels " , that is the appropriate configuration value in the supplied answer set. Microsoft's REST examples show that semantic queries require both queryType: " semantic " and a valid semanticConfiguration .
To return semantic captions, use " captions " : " extractive " . Microsoft states that extractive captions identify the most relevant passages from the indexed content and return them with each result. They are generated from existing document text rather than generated by an LLM.
The completed request body is therefore:
{
" search " : " ocean view " ,
" queryType " : " semantic " ,
" semanticConfiguration " : " hotels " ,
" captions " : " extractive " ,
" top " : 10,
" hybridSearch " : {
" maxTextRecallSize " : 50
},
" vectorQueries " : [
{
" kind " : " vector " ,
" vector " : [ /* embedding array */ ],
" fields " : " DescriptionVector " ,
" k " : 50
}
]
}
Final drag-and-drop selections:
* First target: " semantic "
* Second target: " hotels "
* Third target: " extractive "


NEW QUESTION # 83
What challenge does AI introduce to SQL systems?

Answer: B

Explanation:
AI may generate incorrect answers and requires strong governance and validation.


NEW QUESTION # 84
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?