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Microsoft DP-800 Exam Syllabus Topics:

Topic	Details
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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Microsoft Developing AI-Enabled Database Solutions Sample Questions (Q20-Q25):

NEW QUESTION # 20
Drag and Drop Question
You have an Azure SQL database named sqldb-ai-prod that stores customer support tickets for a multitenant software as a service (SaaS) application. sqldb-ai-prod contains a table named Tickets. Tickets contains columns named TenantId, TicketId, CustomerEmail, CustomerPhone, and Notes.
You plan to harden data access, since a new support team will use ad hoc reporting tools that connect directly to sqldb-ai-prod.
You need to configure security to meet the following requirements:
- Support agents must see only the rows of their own TenantId column.
- Support agents must see only the domain name portion of the
CustomerEmail column.
What should you do for each requirement? To answer, drag the appropriate actions to the correct requirements. Each action 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:

NEW QUESTION # 21
You have an Azure SQL database.
You need to create a scalar user-defined function (UDF) that returns the number of whole years between an input parameter named @OrderDate and the current date/time as a single positive integer. The function must be created in Azure SQL Database.
You write the following code.

What should you insert at line 05?

A. DATEPART(year, GETDATE()) - DATEPART(year, @orderdate)
B. RETURN DATEDIFF(year, @OrderDate, GETDATE());
C. DATEDIFF(month, @orderdate, GETDATE()) / 12
D. RETURN DATEDIFF(year, GETDATE(), @OrderDate);

Answer: B

Explanation:
Use RETURN to produce the scalar value of the function.
In an Azure SQL Database scalar function (a user-defined function that returns a single value), you must use the RETURN statement to return the scalar value.
The RETURN statement immediately terminates the function's execution and returns the value specified in its argument to the calling statement or procedure. The value returned must be of the data type specified in the RETURNS clause of the function definition.
The second argument to DATEDIFF should be @OrderDate as it is the start date, while the third argument is the end date, which is the current date.
Note:
DATEDIFF (Transact-SQL)
This function returns the count (as a signed integer value) of the specified datepart boundaries crossed between the specified startdate and enddate.
Syntax
DATEDIFF ( datepart , startdate , enddate )
Arguments
datepart
Specifies the units in which DATEDIFF reports the difference between the startdate and enddate.
Commonly used datepart units include month or second.
Reference:
https://learn.microsoft.com/en-us/sql/t-sql/functions/datediff-transact-sql

NEW QUESTION # 22
You have a SQL database in Microsoft Fabric that contains a column named Payload. pay load 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, user! + promo@contoso.com must be normalized to userl@contoso.com.
Which Transact SQL expression should you use?

A. REGEXP_SUBSTR(JSON_VALUE(Payload, ' $.customer_email ' ), '
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