The answer is Azure SQL Database elastic pools. This is the correct choice because elastic pools allow multiple databases with low average usage and unpredictable spikes to share a fixed pool of resources, such as eDTUs or vCores, enabling each database to burst up to a maximum resource limit during spikes while minimizing overall cost. The shared model avoids over-provisioning for each database individually, and new databases can be added to the pool without manual sizing, as they simply consume from the shared pool. On the AZ-305 exam, this scenario tests your understanding of cost optimization and resource elasticity for multi-tenant workloads, often appearing as a trap where candidates mistakenly choose single databases or serverless tiers. A common memory tip: think of an elastic pool as a “shared piggy bank” for databases—each can take what it needs during a spike, but you only pay for the bank, not every coin inside.
AZ-305 Design data storage solutions Practice Question
This AZ-305 practice question tests your understanding of design data storage solutions. 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 hosts 100 small Azure SQL databases for different clients. Each database has low average usage but experiences unpredictable spikes. The company wants to minimize costs while allowing each database to burst up to a maximum resource limit during spikes. They also need to easily add new databases without manual sizing. Which Azure SQL Database deployment option should they use?
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 pools
Elastic pools allow multiple databases with low average usage and unpredictable spikes to share a fixed pool of resources (eDTUs or eVCores), enabling each database to burst up to a maximum limit while minimizing overall cost. This model also supports easy addition of new databases without manual sizing, as they are simply added to the pool and share its allocated 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.
✓
Elastic pools
Why this is correct
Elastic pools allow sharing resources among databases, support bursting to a per-database max, and make adding databases easy.
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.
✗
Single databases with DTU-based tiers
Why it's wrong here
Single databases are individually billed based on their tier, leading to higher costs when spikes require provisioning for peak usage.
✗
Managed Instance
Why it's wrong here
Managed Instance is a single large instance for many databases, but does not provide elastic resource sharing between databases.
✗
Hyperscale single database
Why it's wrong here
Hyperscale is designed for large, high-throughput databases, not for pooling many small databases with variable loads.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may choose single databases with DTU-based tiers because they think 'bursting' requires dedicated resources, but they overlook the cost inefficiency and manual sizing overhead of managing many small databases individually.
Detailed technical explanation
How to think about this question
Elastic pools use a shared resource model where the pool's total eDTU or vCore limit is set, and each database can automatically consume up to a configurable per-database max (e.g., 1 eDTU per database in a 100 eDTU pool). This allows databases to burst during spikes without over-provisioning, and the pool's resource governor ensures fair distribution. In real-world scenarios, this is ideal for SaaS providers hosting hundreds of small tenant databases with variable workloads, as it reduces costs by up to 50% compared to single databases.
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 AZ-305 question in full detail.
Design data storage solutions — This question tests Design data storage solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Elastic pools — Elastic pools allow multiple databases with low average usage and unpredictable spikes to share a fixed pool of resources (eDTUs or eVCores), enabling each database to burst up to a maximum limit while minimizing overall cost. This model also supports easy addition of new databases without manual sizing, as they are simply added to the pool and share its allocated resources.
What should I do if I get this AZ-305 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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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. A software company runs 50 small Azure SQL databases for different clients. Each database has low average usage but unpredictable spikes. The company wants to minimize cost while providing resources for peak loads and easily adding new databases without manual sizing. Which Azure data service should they use?
easy
A.Azure SQL Database single databases
✓ B.Azure SQL Database elastic pool
C.Azure SQL Managed Instance
D.SQL Server on Azure Virtual Machines
Why B: Azure SQL Database elastic pool is ideal for multiple databases with low average usage and unpredictable spikes because it allows them to share a fixed set of resources (eDTUs or vCores). This pooling model minimizes cost by only paying for the aggregate peak usage across all databases, not each database's individual peak, and automatically handles resource allocation without manual sizing for new databases.
Last reviewed: Jun 11, 2026
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
This AZ-305 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AZ-305 exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.