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>> Valid Test Microsoft DP-800 Experience <<
We even guarantee our customers that they will pass Microsoft DP-800 exam easily with our provided study material and if they failed to do it despite all their efforts they can claim a full refund of their money (terms and conditions apply). The third format is the desktop software format which can be accessed after installing the software on your Windows computer or laptop. The Developing AI-Enabled Database Solutions (DP-800) has three formats so that the students don't face any serious problems and prepare themselves with fully focused minds.
NEW QUESTION # 70
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](https://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: A
NEW QUESTION # 71
You have a SQL database in Microsoft Fabric that contains a table named dbo.Orders, dbo.Orders has a clustered index, contains three years of data, and is partitioned by a column named OrderDate by month.
You need to remove all the rows for the oldest month. The solution must minimize the impact on other queries that access the data in dbo.orders.
Solution: Run the following Transact-SQL statement.
DELETE FROM dbo.Orders
WHERE OrderDate < DATEADD(nonth, -36, SYSUTCDATETIME());
Does this meet the goal?
Answer: A
Explanation:
This does not meet the goal. A row-by-row DELETE against the oldest month is not the lowest-impact way to purge data from a monthly partitioned table. Microsoft's partitioning guidance specifically says partitioning lets you perform maintenance and retention operations more efficiently by targeting just the relevant partition, including the ability to truncate data in a single partition .
The proposed statement:
DELETE FROM dbo.Orders
WHERE OrderDate < DATEADD(month, -36, SYSUTCDATETIME());
would log row deletions and can hold locks longer, creating more overhead for other queries than a partition- level maintenance operation. Since the table is already partitioned by month , the expected low-impact approach is to operate on the oldest partition directly, not issue a broad delete predicate over rows. Microsoft explicitly highlights partition-targeted truncation as a faster, more efficient retention operation than working against the whole table or rowset.
NEW QUESTION # 72
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 # 73
You have an Azure SQL database.
You deploy Data API builder (DAB) to Azure Container Apps by using the mcr.nicrosoft.com/azure-databases
/data-api-builder:latest image.
You have the following Container Apps secrets:
* MSSQL_COMNECTiON_STRrNG that maps to the SQL connection string
* DAB_C0HFT6_BASE64 that maps to the DAB configuration
You need to initialize the DAB configuration to read the SQL connection string.
Which command should you run?
Answer: A
Explanation:
Data API builder supports reading the database connection string from an environment variable by using the syntax:
@env( ' MSSQL_CONNECTION_STRING ' )
Microsoft's DAB documentation explicitly shows that @env( ' MSSQL_CONNECTION_STRING ' ) tells Data API builder to read the connection string from an environment variable at runtime.
That fits this scenario because Azure Container Apps secrets are typically exposed to the container as environment variables . Microsoft's Azure Container Apps documentation states that environment variables can reference secrets, and DAB's Azure Container Apps deployment guidance shows a secret being mapped into an environment variable that DAB then reads.
Why the other options are wrong:
* A and D incorrectly point the connection string to DAB_CONFIG_BASE64, which is the config payload secret, not the SQL connection string.
* C uses secretref: syntax inside dab init, but DAB expects the connection string parameter in the config to use the environment-variable reference syntax @env(...). The secretref: pattern is for Azure Container Apps environment variable configuration, not for the DAB CLI connection-string argument itself.
So the correct command is:
dab init --database-type mssql --connection-string " @env( ' MSSQL_CONNECTION_STRING ' ) " --host- mode Production --config dab-config.json
NEW QUESTION # 74
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a SQL database in Microsoft Fabric that contains a table named dbo.Orders.
dbo.Orders has a clustered index, contains three years of data, and is partitioned by a column named OrderDate by month.
You need to remove all the rows for the oldest month. The solution must minimize the impact on other queries that access the data in dbo.Orders.
Solution: Run the following Transact-SQL statement.
TRUNCATE TABLE dbo.Orders;
Does this meet the goal?
Answer: A
Explanation:
Correct:
* Identify the partition number for the oldest month, and then run the following Transact-SQL statement.
TRUNCATE TABLE dbo.Orders
WITH (PARTITIONS (partition number));
The best Transact-SQL statement to remove all rows for the oldest month while minimizing the impact on other queries is TRUNCATE TABLE with a WITH (PARTITIONS (...)) clause.
Why TRUNCATE TABLE ... WITH (PARTITIONS (...)) is Best
Efficiency: TRUNCATE TABLE is a Data Definition Language (DDL) operation that removes data by deallocating the data pages, which is a metadata operation and is very fast, regardless of the amount of data in the partition.
Minimal Logging: It uses less transaction log space compared to a DELETE statement, which logs each row deletion individually.
Low Impact on Concurrency: It performs a quick, partition-specific operation. A row-by-row DELETE would be a long-running transaction and could cause locking and blocking issues for other queries accessing the table.
Data Integrity: Because the table has a clustered index and is partitioned by the same column (aligned indexes), the TRUNCATE PARTITION operation is a fast, partition-level maintenance operation that targets only that specific data subset.
Incorrect:
* : Identify the partition scheme for the oldest month, and then run the following Transact-SQL statement.
ALTER TABLE dbo.Orders
DROP PARTITION SCHEME (partition_scheme_name);
The DROP PARTITION SCHEME statement removes the partition scheme object from the database but does not remove the data itself or free up the space, and it requires all tables to be moved off the scheme first, which is a complex operation. This does not meet the goal of removing the data efficiently.
* Run the following Transact-SQL statement.
DELETE FROM dbo.Orders
WHERE OrderDate < DATEADD(month, -36, SYSUTCDATETIME());
A standard DELETE statement, even with a WHERE clause that uses the partition column, can be a time-consuming, logged operation that causes locking and blocking on the main table, negatively impacting performance.
* Run the following Transact-SQL statement.
TRUNCATE TABLE dbo.Orders;
Reference:
https://stackoverflow.com/questions/63632963/truncate-partition-vs-drop-partition-performace- wise-which-one-is-efficient-an
NEW QUESTION # 75
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