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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Developing AI-Enabled Database Solutions (DP-800) |
| Exam Number: | DP-800 |
| Certificate Validity Period: | 1 year (Microsoft role-based certifications require annual renewal) |
| Passing Score: | 700/1000 (typical Microsoft passing score; subject to confirmation) |
| Exam Format: | Case studies, Multiple choice |
| Available Languages: | English |
| Recommended Training: | Microsoft Learn - Azure Data & AI Learning Paths |
| Exam Registration: | Microsoft Certification Dashboard |
| Sample Questions: | Microsoft DP-800 Sample Questions |
| Exam Way: | Online proctored or onsite testing center |
| Pre Condition: | No formal prerequisites required, but familiarity with Azure data services and database concepts is recommended |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/ |
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NEW QUESTION # 50
You plan to implement changes to sp_UpdateProcedureForPatient to meet the performance requirements.
You change the stored procedure to run all its code within a transaction.
Which transaction level should you use?
Answer: C
Explanation:
A). REPEATABLE READ is the correct answer.
The key requirement states:
"Records accessed by using sp_UpdateProcedureForPatient must NOT be changed by other transactions while the stored procedure runs." The REPEATABLE READ transaction isolation level ensures that rows read by the current transaction cannot be modified or deleted by other transactions until the current transaction completes.
Technical breakdown:
* Shared locks: SQL Server acquires shared locks on data read within the transaction and retains them until COMMIT or ROLLBACK.
* Prevention of non-repeatable reads: Other transactions cannot update or delete previously read rows while the transaction remains active.
* Data consistency: Repeated reads of the same protected records return consistent values.
* Concurrency: REPEATABLE READ permits inserts that create phantom rows, avoiding the additional range-locking restrictions imposed by SERIALIZABLE.
Microsoft explicitly documents that REPEATABLE READ prevents other transactions from modifying previously read data until the transaction completes.
NEW QUESTION # 51
You have an Azure SQL database named SalesDB on a logical server named sales-sql01.
You have an Azure App Service web app named OrderApi that connects to SalesDB by using SQL authentication.
You enable a user-assigned managed identity named OrderApi-Id for OrderApi.
You need to configure OrderApi to connect to SalesDB by using Microsoft Entra authentication. The managed identity must have read and write permissions to SalesDB.
Which Transact-SQL statements should you run in SalesDB?
Answer: B
Explanation:
For an Azure App Service using a user-assigned managed identity to connect to Azure SQL Database with Microsoft Entra authentication , the required database-side step is to create a database user from the external provider , then grant the needed database roles. Microsoft's Azure SQL documentation for managed identities states that to let a managed identity access the target database, you create a SQL user for that identity by using:
CREATE USER [ < identity-name > ] FROM EXTERNAL PROVIDER;
and then assign the appropriate roles.
That makes db_datareader and db_datawriter the right role grants here, because the requirement says the identity must have read and write permissions to SalesDB.
The other options are incorrect:
* A uses CREATE LOGIN ... FROM EXTERNAL PROVIDER, which is not the right choice for this Azure SQL Database scenario; the documented pattern is to create a database user from the external provider.
* B and D create SQL-authentication principals with passwords, which does not meet the Microsoft Entra managed-identity requirement.
* D also grants sysadmin, which is a server-level overgrant and not appropriate for the stated read/write requirement.
NEW QUESTION # 52
You have a Microsoft SQL Server 2025 database that contains a table named products. products contains two columns named description and embedding. embedding is generated from description.
You have an application named App1. App1 has a feature that uses the following query.
VECTOR_DISTANCE('cosine', @query_vector, embedding)
Users report that the feature is slow during peak usage times.
You discover that during peak usage times, the semantic search latency increases and CPU utilization spikes.
You need to reduce latency and CPU utilization related to the App1 feature.
What should you do?
Answer: E
Explanation:
To optimize your Microsoft SQL Server 2025 environment, you should transition from a brute- force distance calculation to an Approximate Nearest Neighbor (ANN) search using a DiskANN- based vector index.
The Solution: Vector Indexing
The VECTOR_DISTANCE function performs a full table scan, calculating the distance for every single row. During peak times, this consumes massive CPU cycles. A vector index allows SQL Server to navigate a pre-built graph to find matches, reducing complexity from O(n) to O(log n).
Implementation Steps
1. Create the Vector Index
You must specify the distance metric during index creation. For cosine similarity, use COSINE.
CREATE VECTOR INDEX idx_product_embedding
ON products (embedding)
WITH (METRIC = 'COSINE');
2. Update the Search Query
Replace the WHERE or ORDER BY clause that uses VECTOR_DISTANCE with the VECTOR_SEARCH function.
SELECT TOP (10) description, embedding
FROM products
WHERE VECTOR_SEARCH(
embedding,
@query_vector,
'COSINE',
10 -- Number of neighbors to return
);
Why This Solves Your Problem
CPU Relief: Avoids calculating distances for millions of rows.
Lower Latency: DiskANN is designed for sub-second retrieval even on large datasets.
Peak Performance: By offloading the math to a specialized index structure, the engine remains responsive for other transactional queries.
Reference:
https://learn.microsoft.com/en-us/azure/postgresql/extensions/how-to-use-pgdiskann
NEW QUESTION # 53
Hotspot Question
You have an Azure SQL database named ProductsDB.
You deploy Data API builder (DAB) to Azure Container Apps.
You discover that the container app cannot connect to ProductsDB.
Your development team reports that the container app is unreachable from the internet for integration tests.
You need to update Azure SQL Database and Container Apps to meet the following requirements:
- Ensure that the Azure SQL logical server allows connections from
Azure services.
- Ensure that the Container Apps environment accepts inbound requests
from the public internet.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 54
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?
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 # 55
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