The answer is an elastic pool, which is the correct deployment option for sharing resources among multiple databases with unpredictable load spikes. Elastic pools allow you to allocate a shared set of eDTUs or vCores across all databases, so when some databases spike, they can borrow unused capacity from others, meaning you pay for the pool’s total resources rather than provisioning for each database’s peak demand—this is the core of Azure SQL elastic pools cost optimization. On the DP-900 exam, this scenario tests your understanding of how elastic pools reduce administrative overhead and cost for variable, overlapping workloads, often contrasted with the trap of choosing single databases or managed instances, which would require over-provisioning for each database’s individual peak. Remember the memory tip: “Pool the peaks, pay for the pool”—if databases don’t spike at the same time, an elastic pool saves money by sharing the load.
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.
A company has 12 SQL Server databases, each about 30 GB. The databases experience unpredictable load spikes during the day. The company wants to migrate to Azure SQL Database to reduce administrative overhead and optimize costs by sharing resources among the databases. Which deployment option should they choose?
Why wrong: Each single database would need to be sized for peak loads, leading to over-provisioning and higher cost.
B
Elastic pool
Elastic pools allow databases to share resources, reducing cost and handling unpredictable spikes efficiently.
C
Managed Instance
Why wrong: Managed Instance is an instance-scoped deployment that does not provide resource sharing across databases in the same way elastic pools do; it is also more expensive for many small databases.
D
SQL Server on Azure Virtual Machine
Why wrong: This option requires managing the VM and SQL Server, and does not offer resource sharing across databases automatically.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Elastic pool
Elastic pools are designed to share resources (eDTUs or eVCores) among multiple databases with unpredictable, overlapping load spikes. By pooling resources, the company can optimize costs because databases do not all peak simultaneously, and the pool’s total resource allocation is lower than the sum of individual peak requirements. This reduces administrative overhead by providing a single management point for scaling and monitoring all databases in the pool.
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.
✗
Single database with provisioned DTU
Why it's wrong here
Each single database would need to be sized for peak loads, leading to over-provisioning and higher cost.
✓
Elastic pool
Why this is correct
Elastic pools allow databases to share resources, reducing cost and handling unpredictable spikes efficiently.
Related concept
Read the scenario before looking for a memorised answer.
✗
Managed Instance
Why it's wrong here
Managed Instance is an instance-scoped deployment that does not provide resource sharing across databases in the same way elastic pools do; it is also more expensive for many small databases.
✗
SQL Server on Azure Virtual Machine
Why it's wrong here
This option requires managing the VM and SQL Server, and does not offer resource sharing across databases automatically.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose Single Database (Option A) thinking it is simpler, but they miss that elastic pools are specifically designed for cost optimization when multiple databases have variable and overlapping load patterns, not for isolated workloads.
Detailed technical explanation
How to think about this question
Elastic pools use a shared resource model where the pool’s total eDTU or eVCore limit is allocated dynamically among databases, with each database having optional per-database min/max limits to guarantee performance. Under the hood, Azure SQL Database uses a resource governor to distribute CPU, memory, and IOPS from the pool, and the DTU model combines these into a blended metric. In a real-world scenario, if one database spikes to 100% of its per-database max, it can borrow from the pool’s unused capacity, but if all databases spike simultaneously, the pool may throttle, making it critical to monitor the pool’s eDTU utilization and adjust the pool size accordingly.
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: Elastic pool — Elastic pools are designed to share resources (eDTUs or eVCores) among multiple databases with unpredictable, overlapping load spikes. By pooling resources, the company can optimize costs because databases do not all peak simultaneously, and the pool’s total resource allocation is lower than the sum of individual peak requirements. This reduces administrative overhead by providing a single management point for scaling and monitoring all databases in the pool.
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
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These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Which TWO of the following statements about Azure SQL Database elastic pools are true?
medium
A.They store actual database data
✓ B.They allow multiple databases to share a fixed set of resources
✓ C.They are cost-effective for databases with unpredictable usage patterns
D.They cannot be scaled after creation
E.They are limited to a single Azure SQL Database server
Why B: Options A and C are correct. Elastic pools allow sharing of resources among multiple databases and are cost-effective for databases with variable usage patterns. Option B is wrong because elastic pools can be scaled up or down. Option D is wrong because elastic pools are not limited to a single server. Option E is wrong because elastic pools do not store data; databases within pools do.
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Question Discussion
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