The answer is to create an Azure SQL Database elastic pool and add the databases to it. This is the correct choice because an elastic pool allows multiple databases to share a fixed set of resources, such as eDTUs or vCores, enabling cost-effective Azure SQL Database deployment while still permitting independent scaling of each database’s resource consumption within the pool. For the DP-300 exam, this scenario tests your understanding of balancing performance isolation with cost optimization; a common trap is selecting single databases, which require dedicated resources and drive up costs unnecessarily. Remember the key trade-off: elastic pools sacrifice guaranteed per-database performance for shared efficiency, making them ideal for workloads with variable, low-average utilization. A helpful memory tip is to think of the pool as a “shared buffet” where each database takes only what it needs, rather than paying for its own private kitchen.
DP-300 Plan and implement data platform resources Practice Question
This DP-300 practice question tests your understanding of plan and implement data platform resources. 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.
Your company plans to migrate several on-premises SQL Server databases to Azure SQL Database. The databases are used by different applications, each with varying performance requirements. You need to choose a deployment option that provides the most cost-effective solution while allowing for independent scaling of each database. Which option should you choose?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Create an Azure SQL Database elastic pool and add databases to the pool.
Azure SQL Database elastic pools allow multiple databases to share a fixed set of resources (eDTUs or vCores), enabling cost savings by pooling underutilized databases while providing the ability to independently scale each database's resource consumption within the pool. This meets the requirement for independent scaling and cost-effectiveness, as opposed to single databases that each require their own dedicated resources.
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.
✓
Create an Azure SQL Database elastic pool and add databases to the pool.
Why this is correct
Elastic pools provide cost-effective resource sharing with independent scaling.
Related concept
Read the scenario before looking for a memorised answer.
✗
Install SQL Server on Azure Virtual Machines and host all databases on a single instance.
Why it's wrong here
This requires managing VMs and does not provide elastic scaling.
✗
Migrate all databases to a single Azure SQL Managed Instance.
Why it's wrong here
Managed Instance does not support elastic pools; each database would share the same resources.
✗
Deploy each database as a single Azure SQL Database with its own DTU-based tier.
Why it's wrong here
Single databases are costlier than pooling when databases have variable usage.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose single databases (Option D) thinking they offer the most straightforward independent scaling, but they overlook the cost inefficiency compared to elastic pools when databases have variable or low utilization.
Detailed technical explanation
How to think about this question
Elastic pools use the DTU or vCore purchasing model, where the pool's total resources are allocated among databases using a mechanism that enforces per-database min and max DTU/vCore limits (e.g., DATABASEMAXEDITION). This allows a single database to burst to its max limit while others are idle, optimizing resource utilization. In real-world scenarios, this is ideal for SaaS applications with many small databases that have sporadic usage patterns, as the pool's eDTU cost is typically lower than the sum of individual DTU tiers.
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-300 question in full detail.
Plan and implement data platform resources — This question tests Plan and implement data platform resources — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Create an Azure SQL Database elastic pool and add databases to the pool. — Azure SQL Database elastic pools allow multiple databases to share a fixed set of resources (eDTUs or vCores), enabling cost savings by pooling underutilized databases while providing the ability to independently scale each database's resource consumption within the pool. This meets the requirement for independent scaling and cost-effectiveness, as opposed to single databases that each require their own dedicated resources.
What should I do if I get this DP-300 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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