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 software company develops a multi-tenant SaaS application. They deploy a separate Azure SQL Database for each tenant. The databases are small (2-5 GB) and have highly variable loads — some tenants use the app heavily during the day, others at night. The company wants to maximize resource utilization and minimize costs by allowing databases to share a pool of resources, while still maintaining a predictable performance per database. Which Azure SQL Database deployment option should they choose?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Elastic pool
C is correct because an elastic pool allows multiple Azure SQL databases with variable and unpredictable usage patterns to share a fixed pool of resources (eDTUs or vCores), maximizing resource utilization and minimizing cost. The pool provides a predictable performance per database through per-database min/max resource limits, which is ideal for the described multi-tenant SaaS scenario with small databases and highly variable loads.
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 DTU purchasing model
Why it's wrong here
Incorrect. A single database with DTU charges separately per database and does not share resources across the set of databases.
✗
Single database with vCore purchasing model
Why it's wrong here
Incorrect. Like DTU, vCore-based single databases are isolated and do not allow resource pooling across databases.
✓
Elastic pool
Why this is correct
Correct. Elastic pools share resources across multiple databases, ideal for variable, low-average usage patterns, and provide cost savings.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure SQL Managed Instance
Why it's wrong here
Incorrect. Managed Instance is intended for instance-scoped features and is not designed for pooling resources among many small databases.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse elastic pools with single databases, thinking that the vCore model alone provides elasticity, but vCore single databases still allocate dedicated resources per database and lack the shared-pool cost benefit that elastic pools offer for multi-tenant SaaS workloads.
Detailed technical explanation
How to think about this question
Elastic pools use a shared set of eDTUs or vCores across all databases in the pool, with per-database configuration for minimum (guaranteed) and maximum (burst) resource limits. Under the hood, the Azure SQL Database service uses a resource governor to enforce these limits, ensuring that no single tenant can starve others, while idle databases release resources back to the pool. In a real-world scenario, a pool of 100 databases each 2-5 GB might use 100 eDTUs total, whereas separate single databases would require 100 DTUs each, dramatically increasing cost.
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 — C is correct because an elastic pool allows multiple Azure SQL databases with variable and unpredictable usage patterns to share a fixed pool of resources (eDTUs or vCores), maximizing resource utilization and minimizing cost. The pool provides a predictable performance per database through per-database min/max resource limits, which is ideal for the described multi-tenant SaaS scenario with small databases and highly variable loads.
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.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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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