See the explanation part for the complete Solution.
Explanation:
To configure high availability for dbl, you can use the failover groups feature of Azure SQL Database. Failover groups allow you to manage the repl ication and failover of a group of databases across different regions with the same connection strings 1 . You can choose all, or a subset of, user databases in a logical server to be replicated to another logical server in a different region. You can also specify the failover policy, such as manual or automatic, and the grace period for data loss.
Here are the steps to create a failover group for dbl:
* Using the Azu re portal:
* Go to the Azure portal and select your Azure SQL Database server that hosts dbl.
* Select Failover groups in the left menu and click on Add group.
* Enter a name for the failover group and select a secondary region that is different from the primary region.
* Click on Create a new server and enter the details for the secondary server, such as server name, admin login, password, and subscription.
* Click on Select existing database(s) and choose dbl from the list of databases on the primary server.
* Click on Configure failover policy and select the failover mode, grace period, and read-write failover endpoint mode according to your preferences.
* Click on Create to create the failover group and start the replication of dbl to the secondary server.
* Using Pow erShell commands:
* Install the Azure PowerShell module and log in with your Azure account.
* Run the following command to create a new server in the secondary region: New-AzSqlServer - ResourceGroupName < your-resource-group-name > -ServerName < your-secondary-server- name > -Location " < secondary-region-name > " -SqlAdministratorCredentials $(New-Object - TypeName System.Management.Automation.PSCredential -ArgumentList " < your-admin-login
> " , $(ConvertTo-SecureString -String " < your-password > " -AsPlainTe xt -Force))
* Run the following command to create a new failover group with dbl: New- AzSqlDatabaseFailoverGroup -ResourceGroupName < your-resource-group-name > - ServerName < your-primary-server-name > -PartnerResourceGroupName < your-resource-group- name > -Partner ServerName < your-secondary-server-name > -FailoverGroupName < your- failover-group-name > -Database dbl -FailoverPolicy < manual-or-automatic > - GracePeriodWithDataLossHours < grace-period-in-hours > -ReadWriteFailoverEndpoint " < enabled-or-disabled > "
* You can modif y the parameters of the command according to your preferences, such as the failover policy, grace period, and read-write failover endpoint mode.
These are the steps to create a failover group for dbl

Instead use a serverless SQL pool to create an external table with the extra column.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/create-use-external-tables

Explanation:

Event-driven architecture (EDA) is a common data integration pattern that involves production, detection, consumption, and reaction to events. Data integration scenarios often require Data Factory customers to trigger pipelines based on events happening in storage account, such as the arrival or deletion of a file in Azure Blob Storage account. Data Factory natively integrates with Azure Event Grid, which lets you trigger pipelines on such events.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/how-to-create-event-trigger

See the explanation part for the complete Solution.
Explanation:
To enable page compression on the PK_SalesOrderHeader_SalesOrderlD clustered index of th e SalesLT.
SalesOrderHeader table in db1, you can use the following Transact-SQL script:
-- Connect to the Azure SQL database named db1
USE db1;
GO
-- Enable page compression on the clustered index
ALTER INDEX PK_SalesOrderHeader_SalesOrderlD ON SalesLT.SalesOrderHeader REBUILD WITH (DATA_COMPRESSION = PAGE); GO This script will rebuild the clustered index with page compression, which can reduce the st orage space and improve the query performance The script solution consists of three parts:
* The first part is USE db1; GO . This part connects to the Azure SQL database named db1, where the SalesLT.SalesOrderHeader table is located. The GO command separate s the batches of Transact-SQL statements and sends them to the server.
* The second part is ALTER INDEX PK_SalesOrderHeader_SalesOrderlD ON SalesLT.
SalesOrderHeader REBUILD WITH (DATA_COMPRESSION = PAGE); GO . This part enables page compression on the clustered index named PK_SalesOrderHeader_SalesOrderlD, which is defined on the SalesLT.SalesOrderHeader table. The ALTER INDEX statement modifies the properties of an existing index. The REBUILD option rebuilds the index from scratch, which is required to change the compression setting. The DATA_COMPRESSION = PAGE option specifies that page compression is applied to the index, which means that both row and prefix compression are used. Page compression can reduce the storage space and improve the query perf ormance by compressing the data at the page level. The GO command ends the batch of statements.
* The third part is optional, but it can be useful to verify the compression status of the index. It is SELECT name, index_id, data_compression_desc FROM sys.inde xes WHERE object_id = OBJECT_ID( ' SalesLT.SalesOrderHeader ' ); . This part queries the sys.indexes catalog view, which contains information about the indexes in the database. The SELECT statement returns the name, index_id, and data_compression_desc columns f or the indexes that belong to the SalesLT.
SalesOrderHeader table. The OBJECT_ID function returns the object identification number for the table name. The data_compression_desc column shows the compression type of the index, which should be PAGE for the clu stered index after the script is executed.
These are the steps of the script solution for enabling page compression on the clustered index of the SalesLT.
SalesOrderHeader table in db1.