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NEW QUESTION # 18
You have an Azure SQL database named AdventureWorksDB that contains a table named dbo.Employee.
You have a C# Azure Functions app that uses an HTTP-triggered function with an Azure SQL input binding to query dbo.Employee.
You are adding a second function that will react to row changes in dbo.Employee and write structured logs.
You need to configure AdventureWorksDB and the app to meet the following requirements:
* Changes to dbo.Employee must trigger the new function within five seconds.
* Each invocation must processes no more than 100 changes.
Which two database configurations should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,B
Explanation:
Azure Functions' Azure SQL trigger requires change tracking to be enabled on the source table. Microsoft' s SQL trigger documentation states that setting up change tracking for the Azure SQL trigger requires two steps : enable change tracking on the database and enable change tracking on the table being monitored.
Since the question asks specifically which database configurations you should perform, enabling change tracking on dbo.Employee is one of the required database-side steps.
To meet the latency requirement that changes trigger the function within five seconds , the relevant trigger setting is Sql_Trigger_PollingIntervalMs . Microsoft documents this setting as the delay, in milliseconds, between processing each batch of changes, and a value of 5000 means the trigger polls every 5 seconds .
A few clarifications about the other options:
* B is not the documented setting name. The documented app setting is Sql_Trigger_BatchSize or host setting MaxBatchSize , not "SetSql Trigger MaxBatchSize". The screenshot wording suggests a distractor.
* D is also required in practice for the trigger to work, but the question asks for two answers and includes the polling setting plus the table-level CT setting as the actionable choices presented.
* F is wrong because the Azure SQL trigger uses change tracking , not CDC.
NEW QUESTION # 19
You have an Azure SQL database that contains a table named Rooms. Roomswas created by using the following Transact-SQL statement.
You discover that some records in the Rooms table contain NULL values for the Owner field.
You need to ensure that all future records have a value for the Owner field.
What should you add?
Answer: A
Explanation:
A CHECK constraint is one way to do it.
If you use a CHECK constraint (e.g., CHECK (ColumnName IS NOT NULL)), the database will indeed reject new NULL entries. However, the column's metadata will still technically allow NULLs, which can sometimes affect how external tools or APIs interact with your schema.
Reference:
https://www.postgresql.org/docs/7.0/sql-createtable.htm
NEW QUESTION # 20
You have an Azure subscription. The subscription contains an Azure SQL database named SalesDB and an Azure App Service app named sales-api. sales-api uses virtual network integration to a subnet named vnet- prod/subnet-app and reads from SalesDB You need to configure authentication and network access to meet the following requirements:
* Ensure that sales-api connects to SalesDB by using passwordless authentication.
* Ensure that all the database traffic remains within the subscription.
The solution must minimize administrative effort
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
For authentication , the correct choice is Enable a managed identity and use Microsoft Entra authentication . Azure App Service supports managed identity, and Microsoft documents this as the recommended way to connect to Azure SQL Database without passwords or secrets . This minimizes administrative effort because there are no SQL passwords to rotate, store, or manage.
For network access , the correct choice is Create a private endpoint and disable public network access .
Microsoft documents that when public network access is disabled , Azure SQL Database only accepts connections through private endpoints . That keeps the database traffic on Azure private networking rather than exposing it through the public endpoint. Microsoft also notes that simply adding a private endpoint does not disable public access by itself, so disabling public network access is part of the correct configuration.
The other options are weaker:
* Rotated SQL credentials or storing SQL logins in Key Vault still use passwords and create more admin overhead.
* Allowing Azure services, adding outbound IP firewall rules, or database firewall rules still rely on the public endpoint , so they do not best satisfy the requirement that database traffic remain within the subscription.
NEW QUESTION # 21
You have an Azure SQL database that stores order data. A reporting query aggregates monthly revenue per customer runs frequently.
You need to reduce how long it takes to retrieve the calculated values. The solution must NOT alter any underlying table structure. What should you do?
Answer: C
Explanation:
To speed up repeated aggregate retrieval without changing base-table structure, the right pattern is an indexed view . Microsoft requires that an indexed view be created with WITH SCHEMABINDING , and if the view uses GROUP BY , it must also include COUNT_BIG(*) . After that, the first index on the view must be a unique clustered index .
The other options fail Microsoft's indexed-view rules:
* A is invalid because ORDER BY is not allowed in the indexed-view definition.
* B is invalid because indexed views require WITH SCHEMABINDING , and the first index cannot just be a nonclustered index.
* C is incomplete because a grouped indexed view must include COUNT_BIG(*) .
NEW QUESTION # 22
You have an Azure SQL database that contains a column named Notes.
A security review discovers that Notes contains sensitive data.
You need to ensure that the data is protected so that neither the stored values nor the query inputs reveal information about the actual data. The solution must prevent a user from inferring relationships or repetitions in the data based on the encrypted output.
Which should you use?
Answer: A
Explanation:
To protect sensitive Azure SQL database columns so that neither stored values nor query inputs reveal actual data--and to prevent inference of relationships/repetitions--Always Encrypted with Randomized Encryption is recommended. This approach ensures that data is encrypted on the client side, and the database engine never handles plaintext data or keys.
Key Recommendations:
Always Encrypted (Randomized): Use randomized encryption, which produces different encrypted values (ciphertext) for the same plaintext, preventing pattern analysis.
Azure Key Vault: Store column encryption keys in Azure Key Vault for secure, manageable key storage.
Client-side Encryption: Data is encrypted/decrypted within the application's memory using the SQL client driver, ensuring the database engine or high-privileged users cannot access the data.
Incorrect:
[Not D]
Deterministic Encryption: Allows matching queries (e.g., WHERE Column = 'Value'), but allows attackers to infer patterns and repetitions in data.
Transparent Data Encryption (TDE): Protects data at rest, but SQL users can still see plaintext data, violating the requirement.
Reference:
https://oneuptime.com/blog/post/2026-02-16-how-to-configure-always-encrypted-in-azure-sql- database/view
NEW QUESTION # 23
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