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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Developing AI-Enabled Database Solutions (DP-800) |
| Exam Number: | DP-800 |
| Passing Score: | 700/1000 (typical Microsoft passing score; subject to confirmation) |
| Available Languages: | English |
| Exam Format: | Case studies, Multiple choice |
| Certificate Validity Period: | 1 year (Microsoft role-based certifications require annual renewal) |
| 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 # 67
You have an Azure SQL database that supports a customer-facing API. The API calls a stored procedure named dbo.GetCustomerOrders thousands of times per hour.
After a deployment that updated indexes and statistics, users report that the API endpoint backed by dbo.GetCustomerOrders is slower. In Query Store, the same query now has two persisted execution plans. During the last hour, the newer plan had a significantly higher average duration and CPU time than the older plan.
You need to restore the previous performance quickly, without changing the API code.
Which Transact-SQL command should you run?
Answer: D
Explanation:
We have encountered plan regression. This often happens after maintenance (like updating statistics) because the query optimizer generates a new execution plan that it thinks is better based on the new data distribution, but it ends up being less efficient in practice.
Since you've already identified the Plan ID for the faster plan and the Query ID from Query Store, you can force the "good" plan immediately using:
EXEC sp_query_store_force_plan @query_id = [YourQueryID], @plan_id = [YourFastPlanID]; Use code with caution.
This tells Azure SQL to ignore the new, slower plan and stick to the one that worked, providing an almost instant fix for your API's performance without requiring a code deployment.
Reference:
https://daxsws.com/blog/real-world-dynamics-365-performance-tuning-scenarios-and-fixes
NEW QUESTION # 68
You have an Azure SQL database named ProductsDB.
You deploy Data API builder (DAB) to Azure Container Apps by using the
mcr.microsoft.com/azure-databases /data-api-builder:latest image.
The container app has the following configurations:
- Secrets: mssql-connection-string, dab-config-base64
- Environment variables:
- MSSQL_CONNECTION_STRING=secretref:mssql-connection-string
- DAB_CONFIG_BASE64=secretref:dab-config-base64
- Ingress: External on port 5000
Users report that the /health endpoint returns a healthy response, but all requests that query an entity named Products fail and generate a connection error.
You confirm that the SQL login in the connection string is correct and the database exists.
You need to ensure that the container app can establish connections to the Azure SQL logical server without changing the container app deployment settings or the DAB configuration file.
What should you do on the Azure SQL logical server?
Answer: C
Explanation:
Even if the login credentials are correct, Azure SQL Database blocks all incoming traffic by default. Since your Container App is returning a healthy response for the /health endpoint (which is internal to the DAB engine) but failing on entity queries (which require a database hit), the network handshake is being rejected at the SQL Server firewall level.
To fix this connection error without changing the container app or the DAB configuration file, you must enable the Azure SQL Server firewall to allow Azure services.
Setting the start and end IP address to 0.0.0.0 in an Azure SQL Database firewall rule is a specific configuration that enables the "Allow Azure services and resources to access this server" setting.
Primary Use Case
In your scenario, this rule allows your Azure Container Apps (ACA) to communicate with your Azure SQL Database over the Azure backbone network.
Connectivity: It permits any traffic originating from within the Azure boundary to reach the database.
Simplicity: You do not need to track or white-list the specific outbound IP addresses of your Container App, which can change if the app scales or restarts.
Internal Routing: Traffic stays within the Azure network rather than routing out to the public internet and back in.
Reference:
https://learn.microsoft.com/en-us/azure/azure-sql/database/firewall-configure
https://stackoverflow.com/questions/54599813/how-to-enable-the-access-to-azure-services-in- my-azure-sql-database-server
NEW QUESTION # 69
Which component handles security in Azure SQL?
Answer: B
Explanation:
Azure Key Vault securely stores secrets and keys.
NEW QUESTION # 70
You have an SDK-style SQL database project stored in a Git repository. The project targets an Azure SQL database.
The CI build fails with unresolved reference errors when the project references system objects.
You need to update the SQL database project to ensure that dotnet build validates successfully by including the correct system objects in the database model for Azure SQL Database.
Solution: Add the Microsoft.SqlServer.Dacpacs.Azure.Master NuGet package to the project.
Does this meet the goal?
Answer: A
Explanation:
This does meet the goal. Microsoft documents that SDK-style SQL projects can add the master.dacpac database reference as a package reference , and for Azure SQL Database the correct package is the Azure- specific master DACPAC package. The Azure SQL system DACPACs are available through NuGet, and this is the recommended way to include the right system objects in the database model for dotnet build validation.
So for an SDK-style SQL database project that targets Azure SQL Database, adding Microsoft.SqlServer.
Dacpacs.Azure.Master is the correct fix for unresolved references to system objects.
NEW QUESTION # 71
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.
Name
Data type
RefID
int, identity
Code
nvarchar(10)
CreatedDate
datetime2
Description
nvarchar(255)
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
NEW QUESTION # 72
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