DP-300 Plan and implement data platform resources Practice Question
You are designing a data platform for a global SaaS company. The application requires a relational database that can handle up to 50 TB of data and supports high-frequency inserts. The database must be able to scale compute independently from storage and provide fast restores (within minutes) for large databases. Which Azure SQL offering should you choose?
⚠ Common exam trap
Candidates often confuse the Business Critical tier's high availability and performance features with the ability to handle large data volumes and fast restores, overlooking the strict 4 TB size limit and lack of compute/storage decoupling.
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
✓
Azure SQL Database Hyperscale tier
The Hyperscale tier of Azure SQL Database is designed for workloads up to 100 TB, decouples compute from storage (allowing independent scaling), and uses a log-based architecture with page servers to enable fast restores (typically within minutes, regardless of database size). This directly matches the requirements for 50 TB data, high-frequency inserts, independent compute/storage scaling, and rapid restore times.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure SQL Database Business Critical tier
Why it's wrong here
Business Critical runs on local SSD with a fixed 1:1 compute-to-storage ratio, so compute cannot scale independently of storage, and its geo-restore exceeds the required minutes. It is tempting because it offers the lowest latency via local SSD, which suits high-transaction single-region workloads rather than 50 TB elastic scaling.
- ✗
Azure SQL Database Standard tier
Why it's wrong here
Standard tier caps storage well below 50 TB and separates neither compute from storage nor offers the required minute-level restores. It is tempting as the default relational choice, and it would be correct for smaller workloads needing basic DTU-based relational database capability without those scaling demands.
- ✓
Azure SQL Database Hyperscale tier
Why this is correct
Hyperscale separates compute from storage and uses snapshot-based backups, so it scales independently and restores 50 TB databases in minutes rather than hours. Its architecture also sustains the high-frequency insert workload the stem requires, unlike other Azure SQL tiers.
- ✗
Azure SQL Managed Instance Business Critical
Why it's wrong here
Business Critical couples compute and storage on the same provisioned hardware, so compute cannot scale independently, and its 50 TB ceiling and restore times miss the stated requirements. It is tempting for high-frequency inserts, where its local SSD and in-memory OLTP would be the right fit.
Go deeper
Related to this question
Learn chapter
Migrating On-Premises Databases to Azure
Key term
Azure SQL Performance Tuning
Azure SQL Performance Tuning is the process of optimizing the speed and efficiency of queries and database operations in Microsoft Azure SQL Database or SQL Managed Instance to reduce latency and improve throughput.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.