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 application uses Azure SQL Database. During flash sales, the database experiences high CPU usage and query timeouts. The team needs a solution that can handle sudden increases in demand without downtime. Which scaling option should they choose?
Why wrong: Incorrect. Read scale-out allows read-only replicas for reporting queries, but it does not increase compute capacity for write-heavy transactions.
B
Hyperscale service tier
Correct. Hyperscale can scale compute resources up to 100 vCores within seconds without downtime, ideal for handling sudden demand spikes.
C
Elastic Pool
Why wrong: Incorrect. Elastic Pools share resources among multiple databases, not designed to scale a single database rapidly under load.
D
Geo-replication
Why wrong: Incorrect. Geo-replication provides data redundancy and failover across regions, not dynamic scaling of compute resources.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Hyperscale service tier
The Hyperscale service tier is designed for high-performance, rapidly growing workloads that require instant scalability. It separates compute from storage, allowing compute nodes to be added or scaled up in seconds without downtime, making it ideal for handling sudden spikes in demand like flash sales.
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.
✗
Read scale-out
Why it's wrong here
Incorrect. Read scale-out allows read-only replicas for reporting queries, but it does not increase compute capacity for write-heavy transactions.
✓
Hyperscale service tier
Why this is correct
Correct. Hyperscale can scale compute resources up to 100 vCores within seconds without downtime, ideal for handling sudden demand spikes.
Related concept
Read the scenario before looking for a memorised answer.
✗
Elastic Pool
Why it's wrong here
Incorrect. Elastic Pools share resources among multiple databases, not designed to scale a single database rapidly under load.
✗
Geo-replication
Why it's wrong here
Incorrect. Geo-replication provides data redundancy and failover across regions, not dynamic scaling of compute resources.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is confusing 'scaling for demand spikes' with 'scaling for read-heavy workloads' or 'managing multiple databases,' leading candidates to incorrectly choose Read scale-out or Elastic Pool instead of the compute-scalable Hyperscale tier.
Detailed technical explanation
How to think about this question
Hyperscale achieves near-instant scaling by using a distributed architecture with a separate compute node and multiple page servers that cache data in local SSDs. During a flash sale, you can scale up the compute node (e.g., from 4 to 80 vCores) in seconds without any database restart or connection drop, as the compute node is stateless and reattaches to the same storage layer. This is fundamentally different from the General Purpose or Business Critical tiers, which require a database failover or data movement to change resources.
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-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: Hyperscale service tier — The Hyperscale service tier is designed for high-performance, rapidly growing workloads that require instant scalability. It separates compute from storage, allowing compute nodes to be added or scaled up in seconds without downtime, making it ideal for handling sudden spikes in demand like flash sales.
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.
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Question Discussion
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