Explanation:

Send application metrics using Dropwizard.
Spark uses a configurable metrics system based on the Dropwizard Metrics Library.
To send application metrics from Azure Databricks application code to Azure Monitor, follow these steps:
Step 1: Configure your Azure Databricks cluster to use the Databricksmonitoring library.
Prerequisite: Configure your Azure Databricks cluster to use the monitoring library.
Step 2: Build the spark-listeners-loganalytics-1.0-SNAPSHOT.jar JAR file Step 3: Create Dropwizard counters in your application code Create Dropwizard gauges or counters in your application code

See the explanation part for the complete Solution.
Explanation:
Apply an Azure Resource Manager Delete lock / CanNotDelete lock directly to the Azure SQL database resource db1.
Microsoft states that Azure resource locks can be applied at subscription, resource group, or resource scope to protect resources from accidental deletion or modification. In the Azure portal, the lock types are shown as Delete and Read-only; in CLI/PowerShell, they are called CanNotDelete and ReadOnly. A CanNotDelete
/Delete lock allows users to read and modify the resource, but prevents deletion.
Azure Portal Method - Recommended for Simulation
Step 1: Open the database resource
Sign in to the Azure portal.
In the search bar, search for SQL databases.
Select the database named db1.
Make sure you select the database resource itself, not only the SQL logical server.
Step 2: Open Locks
In the left menu of db1, scroll to Settings.
Select Locks.
Select Add.
Step 3: Create the delete lock
Configure the lock as follows:
Setting
Value
Lock name
PreventDelete-db1
Lock type
Delete
Notes
Prevent accidental deletion of db1
Then select OK or Save.
In the portal, choose Delete, not Read-only. A Read-only lock is too restrictive because it can block management updates. For this task, the requirement is only to stop accidental deletion, so Delete / CanNotDelete is the correct lock type. Microsoft confirms that CanNotDelete prevents deletion but still permits reading and modifying the resource.
Step 4: Verify the lock
Stay on the db1 database page.
Go back to Locks.
Confirm the lock exists with:
Name: PreventDelete-db1
Lock type: Delete
The task is complete once db1 has a Delete lock applied.
PowerShell Method
Use this if the lab provides Azure PowerShell.
New-AzResourceLock `
-LockLevel CanNotDelete `
-LockName " PreventDelete-db1 " `
-LockNotes " Prevent accidental deletion of db1 " `
-ResourceGroupName " < resource-group-name > " `
-ResourceName " < sql-server-name > /db1 " `
-ResourceType " Microsoft.Sql/servers/databases "
Microsoft's New-AzResourceLock documentation includes an Azure SQL Database example using resource type Microsoft.Sql/servers/databases and resource name format serverName/databaseName.
Example format:
New-AzResourceLock `
-LockLevel CanNotDelete `
-LockName " PreventDelete-db1 " `
-LockNotes " Prevent accidental deletion of db1 " `
-ResourceGroupName " RG1 " `
-ResourceName " sql60152867/db1 " `
-ResourceType " Microsoft.Sql/servers/databases "
Replace RG1 and sql60152867 with the actual resource group and SQL logical server that hosts db1.
Azure CLI Method
Use Azure CLI only if the lab gives Cloud Shell and you know the full resource ID.
First get the database resource ID:
az sql db show \
--resource-group < resource-group-name > \
--server < sql-server-name > \
--name db1 \
--query id \
--output tsv
Then create the lock:
az resource lock create \
--name PreventDelete-db1 \
--lock-type CanNotDelete \
--resource < database-resource-id > \
--notes " Prevent accidental deletion of db1 "
Azure CLI supports resource-level lock creation with --lock-type CanNotDelete or ReadOnly.
SSMS / T-SQL Clarification
SSMS is not the correct tool for this task.
A delete lock is an Azure Resource Manager control-plane setting, not a SQL data-plane setting. SQL Server Management Studio can manage database objects and run T-SQL, but it cannot create Azure portal deletion protection locks for an Azure SQL Database.

Explanation:

Basic Concept: This question tests monitor, configure, and optimize database resources in the DP-300 exam context. The correct choice is determined by the exact service boundary and operational requirement stated in the scenario.
Why the selected answer is Correct: The selected values fit this scenario because they apply the required Azure SQL configuration at the correct scope and sequence: You have a SQL Server on Azure Virtual Machines instance named VM1 .
Why the alternate choices are Wrong: The alternate selections apply to different administrative stages or different scopes. In a hotspot or drag-drop task, order and scope are part of the answer, so a technically valid Azure feature can still be wrong if it is placed in the wrong step.

Azure SQL Database elastic pools are a simple, cost-effective solution for managing and scaling multiple databases that have varying and unpredictable usage demands. The databases in an elastic pool are on a single server and share a set number of resources at a set price.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/elastic-pool-overview Basic Concept: This question tests Azure SQL sizing and purchasing choices, where compute model, scaling behavior, licensing benefits, and cost pattern must be evaluated together.
Why A is Correct: two Azure SQL Databases in an elastic pool matches the expected DP-300 administration action. Elastic pools let multiple Azure SQL databases share a fixed pool of resources, which is cost-effective when individual database usage is variable and unpredictable. The question is not asking for a general Azure capability; it is asking for the feature that produces this result: You need to dynamically scale resources consumption based on workloads.
Why B is Wrong: two databases hosted in SQL Server on an Azure virtual machine is an Azure data-platform feature, but it must match the workload model, service tier, migration path, or deployment constraint described in the scenario. It would solve a neighboring problem, but not the deployment, sizing, or migration requirement in this item.
Why C is Wrong: two databases in an Azure SQL Managed instance is an Azure data-platform feature, but it must match the workload model, service tier, migration path, or deployment constraint described in the scenario. It mismatches the target platform, migration method, compute tier, or deployment model described in the scenario, so it would not satisfy the workload as stated.
Why D is Wrong: two single Azure SQL databases is an Azure data-platform feature, but it must match the workload model, service tier, migration path, or deployment constraint described in the scenario. It applies to a different Azure data-platform design than the one the question is testing.

The REPLACE option overrides several important safety checks that restore normally performs. The overridden checks are as follows:
Restoring over an existing database with a backup taken of another database.
With the REPLACE option, restore allows you to overwrite an existing database with whatever database is in the backup set, even if the specified database name differs from the database name recorded in the backup set.
This can result in accidentally overwriting a database by a different database.
Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/restore-statements-transact-sql Basic Concept: This question tests high availability and disaster recovery design for Azure SQL, SQL Server on Azure VMs, and regional failure scenarios.
Why A is Correct: Yes is part of the availability or recovery design space, but the correct choice must satisfy the specified failover, restore, quorum, RPO, or RTO requirement. In this scenario, the important constraint is: Each question in the series contains a unique solution that might meet the stated goals. Yes satisfies that constraint without adding an unrelated service or manual process.
Why B is Wrong: No is part of the availability or recovery design space, but the correct choice must satisfy the specified failover, restore, quorum, RPO, or RTO requirement. It is not wrong technology in general, but it is the wrong HA/DR control for this scenario ' s failure model.