DP-300 Configure and manage automation of tasks Practice Question
You have an Azure SQL Database that needs to be automatically scaled up during peak hours and scaled down during off-peak. The solution must use native Azure capabilities without custom code. What should you use?
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
✓
Create Elastic Database Jobs that run ALTER DATABASE to change the service objective at scheduled times.
Elastic Database Jobs can be used to run ALTER DATABASE statements on a schedule, enabling automated scaling without custom code. Option A is wrong because it requires custom code (PowerShell) and is not a native Azure SQL capability. Option B is wrong because autoscale for elastic pools adjusts per-database DTUs, not the overall database service objective, and does not support scheduled scaling. Option C is wrong because autoscale settings are not available for Azure SQL Database at the server level.
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 Functions with timer trigger and PowerShell to change the pricing tier.
Why it's wrong here
This requires custom code and is not native to SQL.
- ✗
Configure autoscale for the elastic pool that contains the database.
Why it's wrong here
Elastic pool autoscale adjusts per-database limits, not the pool's overall size.
- ✗
Configure autoscale settings on the Azure SQL Database server.
Why it's wrong here
Autoscale is not available for individual Azure SQL Databases.
- ✓
Create Elastic Database Jobs that run ALTER DATABASE to change the service objective at scheduled times.
Why this is correct
Elastic Jobs can execute T-SQL to modify the database's service tier on a schedule.
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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