DP-300 Configure and manage automation of tasks Practice Question
You need to automatically scale an Azure SQL Database based on workload patterns. The solution must use built-in Azure features and minimize manual intervention. Which feature should you configure?
⚠ Common exam trap
Watch out — candidates often confuse 'automation' (Azure Automation runbooks) with 'automatic scaling' (built-in autoscale), or mistakenly think Azure Data Factory can manage database scaling, when only the native autoscale feature provides dynamic, policy-driven scaling without manual intervention.
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
✓
Configure autoscale settings for the Azure SQL Database.
Azure SQL Database supports built-in autoscale through the 'Autoscale' feature (serverless compute tier or DTU-based scaling policies), which automatically adjusts resources based on workload patterns without manual intervention. This is the only option that leverages a native Azure feature for dynamic, reactive scaling rather than scheduled or manual actions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use Azure Data Factory to scale the database based on pipeline triggers.
Why it's wrong here
Data Factory is not designed for scaling databases.
- ✗
Create an Azure Automation runbook that scales the database on a schedule.
Why it's wrong here
Schedule-based scaling does not respond to workload patterns.
- ✓
Configure autoscale settings for the Azure SQL Database.
Why this is correct
Autoscale automatically adjusts resources based on workload.
- ✗
Use an elastic pool and manually adjust eDTUs.
Why it's wrong here
Manual adjustment is not automated.
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.