Free PDF Pass-Sure Microsoft - DP-800 - Printable Developing AI-Enabled Database Solutions PDF

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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
  • 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.
Topic 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.

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Microsoft Developing AI-Enabled Database Solutions Sample Questions (Q93-Q98):

NEW QUESTION # 93
You have an Azure SQL database that contains the following SQL graph tables:
- A NODE table named dbo.Person
- An EDGE table named dbo.Knows
Each row in dbo.Person contains the following columns:
- PersonID (int)
- DisplayName (nvarchar(100))
You need to use a MATCH operator and exactly two directed Knows relationships to return the PersonID and DisplayName of people that are reachable from the person identified by an input parameter named @StartPersonId.
Which Transact-SQL query should you use?

Answer: A

Explanation:
To achieve this using SQL Graph in Azure SQL, you use the MATCH clause to define the path.
Since you need exactly two directed relationships (A โ†’ B โ†’ C), you must chain the edge table twice in the same direction.
Transact-SQL Statement
SELECT
Person3.ID,
Person3.NameColumn -- Replace with your actual nvarchar(100) column name FROM PersonNodeTable AS Person1, KnowsEdgeTable AS Knows1, PersonNodeTable AS Person2, KnowsEdgeTable AS Knows2, PersonNodeTable AS Person3 WHERE MATCH(Person1-(Knows1)->Person2-(Knows2)->Person3) AND Person1.ID = @InputID; Use code with caution.
Key Components
MATCH Clause: Defines the traversal pattern. The syntax (Node)-(Edge)->(Node) ensures the relationship is directed.
Chaining: To get "exactly two" steps, you define three node aliases and two edge aliases.
Aliases: Each instance of the table must have a unique alias (e.g., Person1, Person2, Person3) so the engine can distinguish between the different points in the path.
Filtering: The WHERE clause uses your input parameter (@InputID) to set the starting point of the graph traversal Incorrect:
[Not A]
Need three persons, not two.
[Not B]
Do not use JOIN.
[Not C]
Incorrect MATCH statement.
Reference:
https://learn.microsoft.com/en-us/sql/relational-databases/graphs/sql-graph-sample


NEW QUESTION # 94
Which Azure service is used for visualizing SQL + AI insights?

Answer: A

Explanation:
Microsoft Power BI creates dashboards and reports.


NEW QUESTION # 95
You have a database that contains production data. The schema is stored in a Git repository as an SDK-style SQL database project and contains the following reference data.

A deployment pipeline can be rerun automatically when a transient failure occurs.
You need to deploy the reference data as part of the same CI/CD process. Rerunning the pipeline must produce the same outcome and must NOT create duplicate rows.
What should you do?

Answer: C

Explanation:
To ensure your reference data deployment is idempotent (safe to rerun) and prevents duplicates within an SDK-style SQL project, you should use a Post-Deployment Script combined with a MERGE statement.
The Core Strategy: MERGE Statement
The MERGE command allows you to synchronize a target table with a source (your hardcoded data) in a single atomic operation. It checks for existing records based on a unique key and decides whether to insert, update, or delete.
Implementation Steps
1. Create a Seed Script
Add a file named Script.PostDeployment.sql to your project.
Set the Build Action to PostDeploy in the file properties.
2. Handle the Identity Column
Since RefID is an IDENTITY column, you must use SET IDENTITY_INSERT [Table] ON to specify exact IDs.
This ensures RefID values remain consistent across environments.
3. Write the Idempotent Logic
Define your reference data in a Common Table Expression (CTE) or a virtual table.
Use the sCode or RefID as the join key to find matches.
Reference:
https://www.mssqltips.com/sqlservertip/5648/including-predetermined-datasets-in-a-microsoft- database-project/


NEW QUESTION # 96
Drag and Drop Question
You have an Azure SQL database named SalesDB that contains tables named Sales.Orders and Sales.OrderLines. Both tables contain sales data.
You have a Retrieval Augmented Generation (RAG) service that queries SalesDB to retrieve order details and passes the results to a large language model (LLM) as JSON text. The following is a simple of the JSON.

You need to return one JSON document per order that includes the order header fields and an array of related order lines. The LLM must receive a single JSON array of orders, where each order contains a lines property that is a JSON array of line items.
Which Transact-SQL commands should you use to produce the required JSON shape from the relational tables? To answer, drag the appropriate commands to the correct operations. Each command 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 # 97
You have an Azure SQL database that supports an AI-enabled product catalog API. The database contains a table named Sales.Orders. Sales.Orders contains 20 million rows and has a nonclustered index on a column named CreateDate. The API passes a date parameter named @OrderDate. You have a stored procedure named get_latest_day_orders that filters by running the following query: WHERE CAST(CreateDate AS date) =
@OrderDate A review of the query execution reveals that the query causes an index scan. You need to modify the predicate to ensure that Microsoft SQL Server can use an index seek on CreateDate for a single day. Which WHERE clause should you use?

Answer: A


NEW QUESTION # 98
......

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