The answer is the Serverless compute tier for Azure SQL Database. This option is correct because it automatically scales compute resources to handle unpredictable spikes in demand, such as those seen during promotional events, and even pauses the database during idle periods to optimize costs—charging only for storage and used compute. On the Microsoft Azure Data Fundamentals DP-900 exam, this scenario tests your understanding of how serverless compute differs from provisioned tiers, which require manual scaling or pre-set resources; a common trap is confusing it with elastic pools, which scale across multiple databases but not individual ones. For memory, think of serverless as “pay-per-use autopilot” for unpredictable workloads—it’s the only tier that truly handles spikes without manual intervention by instantly adjusting compute and pausing when idle.
DP-900 Practice Question: Identify considerations for relational data on Azure
This DP-900 practice question tests your understanding of identify considerations for relational data on azure. 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.
An e-commerce company uses Azure SQL Database for its product catalog. During promotional events, the database experiences unpredictable spikes in traffic. The company wants a solution that automatically adjusts compute resources based on demand without manual intervention. Which Azure SQL Database option should they use?
Why wrong: Read replicas improve read throughput but do not automatically scale compute for write-heavy spikes.
B
B) Active geo-replication
Why wrong: Geo-replication provides disaster recovery and read-scale, not automatic compute scaling for demand spikes.
C
C) Serverless compute tier
The serverless tier auto-scales compute and bills per second, perfect for unpredictable workloads.
D
D) Elastic pool
Why wrong: Elastic pools share resources among databases but require manual configuration of resource limits and do not auto-scale beyond the pool's limit.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
C) Serverless compute tier
The Serverless compute tier for Azure SQL Database automatically scales compute resources based on workload demand and pauses the database during idle periods, charging only for storage and used compute. This matches the requirement for handling unpredictable traffic spikes without manual intervention, as it provides instant scaling and cost efficiency for intermittent workloads.
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.
✗
A) Read replicas
Why it's wrong here
Read replicas improve read throughput but do not automatically scale compute for write-heavy spikes.
✗
B) Active geo-replication
Why it's wrong here
Geo-replication provides disaster recovery and read-scale, not automatic compute scaling for demand spikes.
✓
C) Serverless compute tier
Why this is correct
The serverless tier auto-scales compute and bills per second, perfect for unpredictable workloads.
Related concept
Read the scenario before looking for a memorised answer.
✗
D) Elastic pool
Why it's wrong here
Elastic pools share resources among databases but require manual configuration of resource limits and do not auto-scale beyond the pool's limit.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse the Serverless compute tier with elastic pools, assuming both handle scaling, but elastic pools scale resources across multiple databases, not automatically for a single database's unpredictable spikes.
Detailed technical explanation
How to think about this question
The Serverless tier uses a compute autoscaling range (e.g., 0.5 to 4 vCores) and an auto-pause delay (configurable from 1 minute to 7 days), where the database pauses after a period of no connections or queries, resuming within 30 seconds to a minute on the next request. This is ideal for development, test, or intermittent workloads, but not for latency-sensitive production systems due to the cold-start delay on resume.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-900 question in full detail.
Identify considerations for relational data on Azure — This question tests Identify considerations for relational data on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: C) Serverless compute tier — The Serverless compute tier for Azure SQL Database automatically scales compute resources based on workload demand and pauses the database during idle periods, charging only for storage and used compute. This matches the requirement for handling unpredictable traffic spikes without manual intervention, as it provides instant scaling and cost efficiency for intermittent workloads.
What should I do if I get this DP-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.
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-900 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-900 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.