Quick Answer
The answer is fast scaling of compute resources, along with support for up to 100 TB of storage and a distributed architecture using multiple page servers. This is correct because Azure SQL Database Hyperscale separates compute from storage, allowing compute nodes to scale independently and rapidly without moving data, while page servers manage subsets of pages to break the 4 TB limit of other tiers. On the DP-300 exam, this question tests your understanding of Hyperscale’s unique architecture versus General Purpose or Business Critical tiers; a common trap is confusing Hyperscale’s storage limit with the 4 TB cap of other tiers. Remember that Hyperscale is built for massive scale and fast, independent compute scaling—think “Hyperscale = High scale + High speed compute.” A useful memory tip: “Hyperscale has page servers for petabytes, and compute that scales in seconds.”
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.
Which THREE are features of Azure SQL Database Hyperscale?
Zone redundant compute by default
Why wrong: Zone redundancy is optional.
Unlimited log rate
Why wrong: Log rate is governed to maintain performance.
Storage up to 100 TB
Hyperscale supports up to 100 TB.
Near-instantaneous backups
Backups are based on snapshots on page servers.
Fast scaling of compute resources
Compute can be scaled without downtime.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Storage up to 100 TB
Azure SQL Database Hyperscale supports storage up to 100 TB by using a distributed architecture where data is stored across multiple page servers, each managing a subset of pages. This allows the database to scale beyond the 4 TB limit of other service tiers, making it suitable for very large databases.
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.
Zone redundant compute by default
Why it's wrong here
Zone redundancy is optional.
Unlimited log rate
Why it's wrong here
Log rate is governed to maintain performance.
Storage up to 100 TB
Why this is correct
Hyperscale supports up to 100 TB.
Related concept
Read the scenario before looking for a memorised answer.
Near-instantaneous backups
Why this is correct
Backups are based on snapshots on page servers.
Related concept
Read the scenario before looking for a memorised answer.
Fast scaling of compute resources
Why this is correct
Compute can be scaled without downtime.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates often assume 'unlimited' or 'by default' features based on marketing terms, but Azure SQL Database Hyperscale has specific limits and optional configurations that are not universally applied.
Detailed technical explanation
Hyperscale's near-instantaneous backups (Option D) are achieved by using storage snapshots at the page server level, which are created in seconds regardless of database size, eliminating the need for traditional full backup I/O. Fast scaling of compute resources (Option E) is possible because compute and storage are decoupled; scaling up or down only requires reconfiguring the compute node without moving data, typically completing within minutes. The 100 TB storage limit (Option C) is enforced by the distributed page server architecture, where each page server manages a subset of pages and the total storage is aggregated across all page servers in the compute node's buffer pool extension.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
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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: Storage up to 100 TB — Azure SQL Database Hyperscale supports storage up to 100 TB by using a distributed architecture where data is stored across multiple page servers, each managing a subset of pages. This allows the database to scale beyond the 4 TB limit of other service tiers, making it suitable for very large databases.
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
This DP-300 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 DP-300 exam.
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