The answer is serverless compute. This is the correct choice because serverless compute for Azure SQL Database automatically scales compute resources based on real-time workload demand, adjusting vCore count and memory within a configurable range without any downtime, and it even pauses the database during idle periods to save costs. On the Microsoft Azure Fundamentals AZ-900 exam, this question tests your understanding of how Azure SQL Database’s compute tiers differ—specifically, serverless versus elastic pool versus geo-replication. A common trap is confusing elastic pools (which share resources across multiple databases for predictable workloads) or geo-replication (which provides disaster recovery) with the auto-scaling capability needed for sudden traffic bursts. Remember the key distinction: serverless is for unpredictable, bursty demand with automatic scaling and no downtime, while elastic pools are for cost-efficient resource sharing. Memory tip: “Serverless scales up and down, elastic pools share around, geo-replication keeps your data in town.”
AZ-900 Describe Azure architecture and services Practice Question
This AZ-900 practice question tests your understanding of describe azure architecture and services. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
A company uses Azure SQL Database for a web application. They need to ensure that the database can automatically scale to handle sudden spikes in traffic without downtime. Which feature should they enable?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Serverless compute
Serverless compute for Azure SQL Database automatically scales compute resources based on workload demand and pauses the database during idle periods, charging only for consumed resources. This enables handling sudden traffic spikes without downtime because the service dynamically adjusts the vCore count and memory within a configurable range, ensuring continuous availability during bursts.
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.
✗
Geo-replication
Why it's wrong here
Geo-replication provides disaster recovery, not automatic scaling.
✓
Serverless compute
Why this is correct
Correct. Serverless compute auto-scales and is designed for intermittent usage patterns with spikes.
Related concept
Read the scenario before looking for a memorised answer.
✗
Active geo-replication
Why it's wrong here
Active geo-replication provides readable replicas for scaling read workloads, not automatic compute scaling.
✗
Elastic pool
Why it's wrong here
Elastic pools share resources among multiple databases but require manual scaling of the pool.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse high-availability features (like geo-replication or elastic pools) with automatic compute scaling, but serverless compute is the only option that directly addresses dynamic scaling of compute resources without downtime for a single Azure SQL Database.
Detailed technical explanation
How to think about this question
Under the hood, Azure SQL Database serverless uses a compute scaling algorithm that monitors CPU, memory, and request rates to trigger scale-ups or scale-downs within the configured min/max vCore range, with a pause delay setting (default 60 minutes) that stops billing when idle. This contrasts with provisioned tiers where scaling requires manual intervention or scheduled autoscale, making serverless ideal for intermittent or unpredictable workloads like a web app with sudden traffic bursts.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AZ-900 question in full detail.
Describe Azure architecture and services — This question tests Describe Azure architecture and services — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Serverless compute — Serverless compute for Azure SQL Database automatically scales compute resources based on workload demand and pauses the database during idle periods, charging only for consumed resources. This enables handling sudden traffic spikes without downtime because the service dynamically adjusts the vCore count and memory within a configurable range, ensuring continuous availability during bursts.
What should I do if I get this AZ-900 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.
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Question Discussion
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