Question 59 of 982

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.

An e-commerce company has 20 SQL Server databases that each range from 10 GB to 50 GB and experience unpredictable usage patterns with occasional spikes in user activity. The company wants to migrate to Azure SQL Database to reduce management overhead and minimize costs by allowing databases to share resources. 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.

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Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

B: Elastic pool

Elastic pools allow multiple SQL databases to share a fixed set of resources (eDTUs or vCores), which is ideal for databases with unpredictable usage patterns and occasional spikes. By pooling resources, the company can reduce management overhead and minimize costs compared to provisioning each database individually, as the pool's total resources are shared among all databases, smoothing out peak demands.

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.

  • A: Single database with provisioned throughput

    Why it's wrong here

    This option provisions resources per database individually, which can lead to over-provisioning for peak loads and higher costs compared to a shared pool.

  • B: Elastic pool

    Why this is correct

    Elastic pools allow multiple databases to share resources, offering cost efficiency and handling unpredictable usage spikes without over-provisioning each database.

    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.

  • C: Managed Instance

    Why it's wrong here

    Managed Instance provides near 100% compatibility with on-premises SQL Server but is more suitable for databases that need instance-scoped features and higher isolation, not for sharing resources across many small databases.

  • D: SQL Server on Azure VM

    Why it's wrong here

    This IaaS option requires manual management of the VM and SQL Server, increasing administrative overhead, and does not provide built-in resource sharing across multiple databases.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may confuse 'reducing management overhead' with choosing a fully managed option like Managed Instance, but fail to recognize that the key requirement is 'sharing resources to minimize costs,' which is uniquely addressed by elastic pools, not by single databases or instance-level offerings.

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 all databases, with each database having a configurable minimum (DTU/vCore guarantee) and maximum (per-database burst limit). Under the hood, Azure SQL Database uses a resource governor to enforce per-database limits and dynamically redistribute unused capacity during spikes, ensuring no single database can starve others. In real-world scenarios, this is particularly effective for SaaS applications with many tenants that have low average usage but occasional bursts, as the pool's aggregate capacity can be 50-70% less than the sum of individual peak requirements.

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.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this DP-900 question test?

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: B: Elastic pool — Elastic pools allow multiple SQL databases to share a fixed set of resources (eDTUs or vCores), which is ideal for databases with unpredictable usage patterns and occasional spikes. By pooling resources, the company can reduce management overhead and minimize costs compared to provisioning each database individually, as the pool's total resources are shared among all databases, smoothing out peak demands.

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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Last reviewed: Jun 11, 2026

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