Quick Answer
The correct answer is Elastic pool and the DTU-based purchasing model. These two features work together to provide tenant isolation and resource optimization in Azure SQL Database for a SaaS application with dedicated databases per tenant. The elastic pool allows multiple databases to share a fixed set of resources, ensuring that no single tenant can consume more than its allocated share, while the DTU model bundles compute, storage, and I/O into a predictable unit, making it simple to cap and meter each database’s performance. On the DP-300 exam, this scenario tests your understanding of multi-tenant architecture patterns, where a common trap is selecting the vCore model instead—vCore offers more granular control but lacks the straightforward, pre-configured isolation that DTU pools provide for predictable SaaS workloads. Remember the memory tip: “Pool the DTUs, isolate the tenants”—the pool handles resource sharing, and the DTU model enforces the per-database ceiling.
This DP-300 practice question tests your understanding of plan and implement data platform resources. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
You are designing an Azure SQL Database solution for a SaaS application that will host multiple tenants. Each tenant has a dedicated database. You need to ensure that tenants are isolated and resource usage is optimized. Which two features should you use? (Choose TWO.)
Serverless compute tier
Why wrong: Serverless is for single databases with auto-pause.
DTU-based purchasing model
DTU pools are cost-effective for multi-tenant.
Elastic pool
Elastic pools allow resource sharing among databases.
Hyperscale service tier
Why wrong: Hyperscale is for single large databases, not pools.
vCore-based purchasing model
Why wrong: Not required for isolation and pools.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
DTU-based purchasing model
Option B (DTU-based purchasing model) is correct because it provides a simple, pre-configured bundle of compute, storage, and I/O resources, which is ideal for SaaS environments with multiple dedicated databases where predictable performance and isolation are needed. Option C (Elastic pool) is correct because it allows multiple databases to share a fixed pool of DTU resources, optimizing cost and resource utilization across tenants while maintaining logical isolation.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Serverless compute tier
Why it's wrong here
Serverless is for single databases with auto-pause.
DTU-based purchasing model
Why this is correct
DTU pools are cost-effective for multi-tenant.
Related concept
Read the scenario before looking for a memorised answer.
Elastic pool
Why this is correct
Elastic pools allow resource sharing among databases.
Related concept
Read the scenario before looking for a memorised answer.
Hyperscale service tier
Why it's wrong here
Hyperscale is for single large databases, not pools.
vCore-based purchasing model
Why it's wrong here
Not required for isolation and pools.
Common exam traps
The trap here is that candidates often confuse the vCore-based model with better isolation, but for multi-tenant SaaS with dedicated databases, DTU-based elastic pools provide the optimal balance of isolation and resource optimization.
Detailed technical explanation
In an elastic pool, DTUs are shared among databases, with each database having a guaranteed minimum DTU and a maximum cap, preventing any single tenant from starving others. The DTU model bundles CPU, memory, and I/O into a single metric, simplifying capacity planning for predictable workloads. A real-world scenario is a SaaS app with hundreds of small tenants where elastic pools reduce costs by up to 50% compared to individual databases, while DTU-based pricing avoids the overhead of vCore licensing.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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.
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FAQ
Plan and implement data platform resources — This question tests Plan and implement data platform resources — Read the scenario before looking for a memorised answer..
The correct answer is: DTU-based purchasing model — Option B (DTU-based purchasing model) is correct because it provides a simple, pre-configured bundle of compute, storage, and I/O resources, which is ideal for SaaS environments with multiple dedicated databases where predictable performance and isolation are needed. Option C (Elastic pool) is correct because it allows multiple databases to share a fixed pool of DTU resources, optimizing cost and resource utilization across tenants while maintaining logical isolation.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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