Question 740 of 919
DP-300 Configure and manage automation of tasks Practice Question
You need to automate the process of scaling an Azure SQL Database to a higher service tier when CPU usage exceeds 80% for 5 consecutive minutes. Which Azure service is best suited for this automation?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure Logic App triggered by an Azure Monitor metric alert, calling the Azure SQL Database REST API to update the tier.
Azure Logic Apps can be easily triggered by an Azure Monitor metric alert and can call the Azure SQL Database REST API to update the service tier. This provides a simple, low-code solution for automating scaling based on CPU thresholds. Option B is incorrect because Elastic Database Jobs are designed for executing T-SQL scripts across multiple databases, not for scaling operations. Option C is incorrect: although Azure Automation Runbooks can be triggered by alerts and use PowerShell, they require more setup and overhead compared to Logic Apps. Option D is also less optimal: Azure Functions can work but Logic Apps offer a more straightforward integration with Azure Monitor alerts and REST APIs for this specific use case.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Azure Logic App triggered by an Azure Monitor metric alert, calling the Azure SQL Database REST API to update the tier.
Why this is correct
Logic Apps have native integration with Azure Monitor alerts and REST APIs.
- ✗
Elastic Database Job that monitors sys.dm_db_resource_stats and executes ALTER DATABASE.
Why it's wrong here
Elastic Database Jobs cannot scale databases.
- ✗
Azure Automation Runbook triggered by an Azure Monitor alert, using PowerShell to scale the database.
Why it's wrong here
An Azure Automation Runbook, while capable of executing PowerShell to modify database tiers, is not the dedicated service for reactive, metric-driven autoscaling. It would necessitate custom scripting to implement the entire scaling logic, including continuous metric evaluation and threshold adherence, which is inherently provided by Azure Autoscale. This option is tempting because runbooks are excellent for bespoke administrative tasks, complex cross-service workflows, or scheduled operations where native Azure features don't offer the required customisation.
- ✗
Azure Function triggered by an Azure Monitor alert, using the Azure SDK to scale.
Why it's wrong here
Azure Functions require more code than Logic Apps.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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Last reviewed: Jun 21, 2026
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