Explanation:
Box 1: 12 months
The January 4, 2020 backup is the first backup of the month, and it will keep for 12 months.
Box 2: 10 years.
The January 11, 2020 backup is the Week 2 backup. This backup will be the yearly backup, and it will be retained for 10 years.
Note: Long-term backup retention (LTR) leverages the full database backups that are automatically created to enable point in time restore (PITR). If an LTR policy is configured, these backups are copied to different blobs for long-term storage. The copy is a background job that has no performance impact on the database workload. The LTR policy for each database in SQL Database can also specify how frequently the LTR backups are created.
To enable LTR, you can define a policy using a combination of four parameters: weekly backup retention (W), monthly backup retention (M), yearly backup retention (Y), and week of year (WeekOfYear). If you specify W, one backup every week will be copied to the long-term storage.
If you specify M, the first backup of each month will be copied to the long-term storage. If you specify Y, one backup during the week specified by WeekOfYear will be copied to the long-term storage. If the specified WeekOfYear is in the past when the policy is configured, the first LTR backup will be created in the following year. Each backup will be kept in the long-term storage according to the policy parameters that are configured when the LTR backup is created.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/long-term-retention- overview?view=azuresql

Explanation:
Box 1: "Microsoft.Sql/servers"
Example:
"resources": [
{
"type": "Microsoft.Sql/servers",
"apiVersion": "2021-08-01-preview",
"name": "[parameters('serverName')]",
"location": "[parameters('location')]",
"properties": {
"administratorLogin": "[parameters('administratorLogin')]",
"administratorLoginPassword": "[parameters('administratorLoginPassword')]"
}
},
{
"type": "Microsoft.Sql/servers/databases",
"apiVersion": "2021-08-01-preview",
"name": "[format('{0}/{1}', parameters('serverName'), parameters('sqlDBName'))]",
"location": "[parameters('location')]",
"sku": {
"name": "Standard",
"tier": "Standard"
},
"dependsOn": [
"[resourceId('Microsoft.Sql/servers', parameters('serverName'))]"
]
}
Box 2: "dependsOn": [
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/single-database-create-arm-template-quickstart

To protect your Azure resources, you can use Resource Locks.
To prevent accidental deletion of an Azure database, use the Azure portal to create a "Delete" lock on the database or its parent resources, such as the SQL server or resource group. This lock will prevent any user, including owners, from deleting the database.
Step 1: Navigate to the resource: Go to the Azure portal and locate the Azure SQL database you want to protect. You can do this by searching for "SQL databases" or navigating through your resource groups. [Select db1] Step 2: Open the Locks tab: In the database's overview, locate the "Locks" tab under the
"Settings" section.
Step 3: Add a new lock: Click the "Add" button to create a new lock.
Step 4: Configure the lock:
Lock Name: Give the lock a descriptive name (e.g., "PreventDeleteLock").
Lock Type: Select "Delete".
Level: Set the level to "CanNotDelete".
Notes (Optional): Add any relevant notes about the lock.
Step 5: Apply the lock: Click "OK" to save the lock.
Reference:
https://techcommunity.microsoft.com/blog/adformysql/preventing-and-recovering-from-accidental- deletion-of-an-azure-database-for-mysq/4388503

CE: Estimate the vCores needed for the pool as follows:
For vCore-based purchasing model: MAX(<Total number of DBs X average vCore utilization per DB>, <Number of concurrently peaking DBs X Peak vCore utilization per DB) A: Estimate the storage space needed for the pool by adding the number of bytes needed for all the databases in the pool.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/elastic-pool-overview

The partition count for an event hub in a dedicated Event Hubs cluster can be increased after the event hub has been created.
Incorrect Answers:
A: For Azure Event standard hubs, the partition count isn't changeable, so you should consider long-term scale when setting partition count.
Reference:
https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-features#partitions