The correct answer is to configure autoscale settings on the Azure SQL Database using Azure Automation runbooks triggered by a metric alert. This is necessary because Azure SQL Database lacks native automatic scaling based on load; instead, you must use Azure Automation runbooks to programmatically change the service tier when a metric alert—such as CPU or DTU percentage—detects the predictable nightly surge. On the DP-300 exam, this scenario tests your understanding that while Azure SQL Database offers manual scaling and elastic pools, true automated scaling for scheduled, predictable loads requires external orchestration. A common trap is assuming the built-in autoscale feature works for single databases, but it only applies to elastic pools or specific services like SQL Managed Instance. To remember, think: “No native auto-scale for single DBs—use Automation runbooks with metric alerts.” This approach ensures the database handles the 2:00 AM read-only surge without manual intervention, aligning perfectly with the search intent of automating scaling for predictable load.
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. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 managing an Azure SQL Database that runs a critical business application. The database experiences a predictable surge in read-only queries every night at 2:00 AM. You need to configure automatic scaling to handle this surge without manual intervention. What should you do?
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 on the Azure SQL Database using Azure Automation runbooks triggered by a metric alert.
Option D is correct because Azure SQL Database does not natively support automatic scaling based on load. To achieve this, you must use Azure Automation runbooks triggered by a metric alert (e.g., DTU or CPU percentage) to programmatically scale the database's service tier up or down. This approach allows you to handle the predictable nightly surge without manual intervention, as the runbook can be scheduled or triggered by a threshold alert.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 a read replica and redirect read queries to it during the surge.
Why it's wrong here
Read replicas offload reads but do not scale automatically.
✗
Manually scale up the database service tier before 2:00 AM each day.
Why it's wrong here
Manual intervention is not automated.
✗
Move the database to an Elastic Database Pool and rely on its built-in autoscaling.
Why it's wrong here
Elastic pools autoscale pooled resources, not a single database.
✓
Configure autoscale settings on the Azure SQL Database using Azure Automation runbooks triggered by a metric alert.
Why this is correct
This enables automatic scaling based on load.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume Azure SQL Database has built-in autoscaling like Azure SQL Database serverless (which only pauses/resumes, not scales), or they confuse elastic pool autoscaling with per-database scaling, leading them to select option C incorrectly.
Detailed technical explanation
How to think about this question
Azure Automation runbooks can execute PowerShell or T-SQL commands to alter the database's service objective (e.g., using Set-AzSqlDatabase with -RequestedServiceObjectiveName). The metric alert triggers the runbook via a webhook, and you can schedule the runbook to run at 2:00 AM using a schedule linked to the runbook. This approach is necessary because Azure SQL Database lacks built-in autoscaling; the only native scaling options are manual or via elastic pools, which do not address per-database surges.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Configure and manage automation of tasks — This question tests Configure and manage automation of tasks — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configure autoscale settings on the Azure SQL Database using Azure Automation runbooks triggered by a metric alert. — Option D is correct because Azure SQL Database does not natively support automatic scaling based on load. To achieve this, you must use Azure Automation runbooks triggered by a metric alert (e.g., DTU or CPU percentage) to programmatically scale the database's service tier up or down. This approach allows you to handle the predictable nightly surge without manual intervention, as the runbook can be scheduled or triggered by a threshold alert.
What should I do if I get this DP-300 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.