DP-300 Configure and manage automation of tasks Practice Question
You are designing an automation strategy for an Azure SQL Database that requires the following: 1) Automatically scale up the service tier when CPU usage exceeds 90% for 5 minutes. 2) Automatically scale down when CPU usage drops below 10% for 15 minutes. 3) The solution must be cost-effective and use built-in Azure features. Which TWO options should you combine? (Choose two.)
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 Apps with a metric trigger
Azure Logic Apps can trigger scaling actions based on metric thresholds using a metric trigger, and Azure Automation runbooks can execute the scaling commands (such as changing the service tier) via PowerShell or Azure CLI. Together, they provide a cost-effective, built-in solution. Option A (Elastic Database Jobs) is used for scheduled database tasks like index maintenance, not scaling. Option B (Azure Monitor autoscale) is not directly available for Azure SQL Database; autoscale is only for Azure Virtual Machine scale sets, App Service, etc. Option C (Azure Functions) could also be used, but the recommended combination for this scenario is Logic Apps and Automation runbooks because they are serverless and integrate natively with Azure SQL Database.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Elastic Database Jobs
Why it's wrong here
Elastic jobs are for administrative tasks, not scaling.
- ✗
Azure Monitor autoscale
Why it's wrong here
Autoscale is not available for Azure SQL Database; it's for App Service, VMSS, etc.
- ✗
Azure Functions
Why it's wrong here
Functions can also scale, but Logic Apps + Automation is the typical combination.
- ✓
Azure Logic Apps with a metric trigger
Why this is correct
Logic Apps can monitor metrics and trigger actions.
- ✓
Azure Automation runbook
Why this is correct
Runbooks can execute PowerShell to scale the database.
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 |
Go deeper
Related to this question
Learn chapter
Overview of Azure Data Platform Options
Key term
Azure SQL Performance Tuning
Azure SQL Performance Tuning is the process of optimizing the speed and efficiency of queries and database operations in Microsoft Azure SQL Database or SQL Managed Instance to reduce latency and improve throughput.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DP-300 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-300 exam.