The answer is to set up an Azure Logic App with a trigger on Azure Monitor metrics and an action to update the database tier via the Azure Resource Manager connector. This is correct because Logic Apps provide a no-code/low-code integration that natively responds to Azure Monitor alerts—such as average DTU consumption exceeding 80% for 10 minutes—and can execute a resource update through the ARM connector, meeting the requirement to automate scaling without custom scripting. On the DP-300 exam, this scenario tests your ability to choose the right native automation service for elastic scaling based on performance metrics; a common trap is selecting Azure Automation runbooks (which require PowerShell) or Azure Functions (which require code), both of which violate the “no custom scripting” constraint. Remember the key distinction: Logic Apps are the only fully managed, code-free option for triggering on metrics and modifying Azure resources directly. A useful memory tip is “Logic Apps = Low-code Automation for Performance-based Scaling.”
DP-300 Configure and manage automation of tasks Practice Question
This DP-300 practice question tests your understanding of configure and manage automation of tasks. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
You are a database administrator for a gaming company that uses Azure SQL Database with multiple databases in a single logical server. The databases experience varying load patterns. You need to automate the process of scaling up or down the DTU/ vCore purchasing model based on performance metrics. Specifically, if average DTU consumption exceeds 80% for 10 minutes, you want to scale up the database tier. If consumption drops below 20% for 30 minutes, you want to scale down. The automation must use Azure native services and should not require custom scripting. What should you do?
Set up an Azure Logic App with a trigger on Azure Monitor metrics (e.g., when average DTU > 80% for 10 minutes) and an action to update the database tier via Azure Resource Manager connector.
No custom scripting needed, uses native connectors.
C
Use Elastic Database Jobs to run T-SQL that alters the database service tier based on scheduled times.
Why wrong: Elastic Database Jobs cannot react to real-time metrics.
D
Create an Azure Function app that uses the SQL Server metrics API to scale the database.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Set up an Azure Logic App with a trigger on Azure Monitor metrics (e.g., when average DTU > 80% for 10 minutes) and an action to update the database tier via Azure Resource Manager connector.
Option C is correct. Azure Logic Apps can trigger on Azure Monitor metrics (e.g., DTU consumption) and call the Azure Resource Manager API to update the service tier. This is a no-code / low-code solution that meets the requirement of not requiring custom scripting. Option A is incorrect because Azure Automation runbooks require PowerShell scripts. Option B is incorrect because Elastic Database Jobs cannot change service tiers. Option D is incorrect because Azure Functions require custom code.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Create an Azure Automation runbook with PowerShell that queries performance metrics and scales the database accordingly.
Why it's wrong here
Requires custom scripting (PowerShell).
✓
Set up an Azure Logic App with a trigger on Azure Monitor metrics (e.g., when average DTU > 80% for 10 minutes) and an action to update the database tier via Azure Resource Manager connector.
Why this is correct
No custom scripting needed, uses native connectors.
Related concept
Static NAT maps one inside address to one outside address.
✗
Use Elastic Database Jobs to run T-SQL that alters the database service tier based on scheduled times.
Why it's wrong here
Elastic Database Jobs cannot react to real-time metrics.
✗
Create an Azure Function app that uses the SQL Server metrics API to scale the database.
Why it's wrong here
Requires custom code.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
→Identify inside and outside interfaces first.
→Check whether the scenario needs static NAT, dynamic NAT or PAT.
→Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-300 question in full detail.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DP-300 NAT questions on configuration and troubleshooting.
Configure and manage automation of tasks — This question tests Configure and manage automation of tasks — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Set up an Azure Logic App with a trigger on Azure Monitor metrics (e.g., when average DTU > 80% for 10 minutes) and an action to update the database tier via Azure Resource Manager connector. — Option C is correct. Azure Logic Apps can trigger on Azure Monitor metrics (e.g., DTU consumption) and call the Azure Resource Manager API to update the service tier. This is a no-code / low-code solution that meets the requirement of not requiring custom scripting. Option A is incorrect because Azure Automation runbooks require PowerShell scripts. Option B is incorrect because Elastic Database Jobs cannot change service tiers. Option D is incorrect because Azure Functions require custom code.
What should I do if I get this DP-300 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DP-300 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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