The answer is to use an elastic pool and add databases as needed. This is the best strategy because elastic pools are specifically designed for multi-tenant SaaS scenarios where each tenant has its own database, but usage patterns are unpredictable and fluctuate. The pool provides performance isolation through per-database resource limits, such as minimum and maximum DTUs or vCores, while sharing a fixed pool of resources, which minimizes cost by allowing idle databases to borrow capacity from active ones. On the Microsoft Azure Database Administrator Associate DP-300 exam, this question tests your understanding of resource governance in multi-tenant architectures, often appearing as a scenario where you must balance cost efficiency with isolation. A common trap is choosing individual databases with over-provisioning, which wastes money, or a single shared database, which breaks isolation. Remember the mnemonic: “Pool for the spool” — elastic pools handle fluctuating tenant loads without wasting resources.
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 is deploying a multi-tenant application using Azure SQL Database. Each tenant gets its own database. You need to manage resources efficiently while ensuring performance isolation between tenants. The number of tenants fluctuates, and you want to minimize cost. What is the best strategy?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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
✓
Use an elastic pool and add databases as needed
Elastic pools are designed for multi-tenant SaaS scenarios where each tenant has its own database but usage patterns are unpredictable. They provide performance isolation through per-database resource limits (e.g., min/max DTUs or vCores) while sharing a fixed pool of resources, which minimizes cost by allowing idle databases to borrow from others. This matches the requirement of fluctuating tenant counts and cost efficiency.
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.
✗
Deploy each tenant's database as a single database with reserved capacity
Why it's wrong here
Costly and does not share resources.
✗
Use a single Hyperscale database with schema per tenant
Why it's wrong here
Hyperscale is for very large databases, not multi-tenant isolation.
✗
Use a single Azure SQL Managed Instance with multiple databases
Why it's wrong here
Managed Instance is expensive for many small databases.
✓
Use an elastic pool and add databases as needed
Why this is correct
Elastic pool allows sharing resources and scaling based on aggregate load.
Clue confirmation
The clue words "best", "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse 'performance isolation' with 'dedicated resources' and choose single databases (Option A), not realizing that elastic pools provide isolation via per-database resource caps while sharing a common pool for cost efficiency.
Detailed technical explanation
How to think about this question
Elastic pools use a shared resource model where the pool's total eDTUs or vCores are allocated across databases, with per-database min and max limits enforced by the Azure SQL Database engine. The pool's resource governor ensures that no single database can exceed its configured max DTU/vCore, guaranteeing performance isolation even during burst activity. In practice, this allows a pool of 100 databases to use, say, 100 eDTUs instead of 100 separate single databases each with 10 DTUs, reducing cost by up to 80% for spiky workloads.
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: Use an elastic pool and add databases as needed — Elastic pools are designed for multi-tenant SaaS scenarios where each tenant has its own database but usage patterns are unpredictable. They provide performance isolation through per-database resource limits (e.g., min/max DTUs or vCores) while sharing a fixed pool of resources, which minimizes cost by allowing idle databases to borrow from others. This matches the requirement of fluctuating tenant counts and cost efficiency.
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.
Are there clue words in this question I should notice?
Yes — watch for: "best", "minimum / minimize". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Variation 1. You are deploying Azure SQL Database for a multi-tenant SaaS application. Each tenant has its own database. You need to ensure that tenant data is isolated and that performance is predictable. Cost efficiency is important. Which deployment model should you use?
medium
A.Deploy a single Azure SQL Database per tenant
B.Use Azure SQL Managed Instance with multiple databases
C.Use a single large database with row-level security
✓ D.Use an elastic pool with one database per tenant
Why D: Option D is correct because an elastic pool allows you to provision a shared set of resources (eDTUs or vCores) that is distributed across multiple databases, each representing a tenant. This provides logical isolation of tenant data (each tenant has its own database) while pooling resources to handle variable workloads cost-effectively. The elastic pool model is specifically designed for SaaS multi-tenant scenarios where predictable performance is achieved through resource governance, and cost efficiency comes from sharing resources among databases that do not all peak simultaneously.
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Question Discussion
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