DP-300 Practice Question: Monitor, configure, and optimize database resources
A company has an Azure SQL Database that is experiencing performance degradation during peak hours. The database is configured with the Standard tier (S2). Which action should you recommend to improve performance without changing the application code?
⚠ Common exam trap
DP-300 often tests the difference between diagnosing a problem (Query Store, Performance Dashboard) and fixing it (scaling, indexing), so candidates who pick the diagnostic tool over the actual remediation lose the point.
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
✓
Scale up the database to a higher service objective (e.g., S3).
Scaling up the Azure SQL Database from S2 to a higher service objective (e.g., S3) increases the allocated DTUs/vCores, memory, and IOPS, directly addressing resource saturation during peak hours without requiring any application changes. This is the fastest, least invasive remediation when the workload is CPU/IO bound and the tier is the bottleneck. It preserves connection strings, schema, and code, making it the correct first recommendation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Scale up the database to a higher service objective (e.g., S3).
Why this is correct
Scaling up to S3 increases the allocated DTUs and associated compute, memory, and IO resources for the same database, relieving peak-hour contention without application changes. Vertical scaling within the Standard tier is the direct remedy when the current service objective is the bottleneck.
- ✗
Enable Query Store and run the Performance Dashboard.
Why it's wrong here
Query Store and the Performance Dashboard only capture and display query-level telemetry; they diagnose the cause but change no resource allocation, so peak-hour degradation persists. It is tempting because it is the standard first step in tuning, and would be correct when you must identify the offending queries before acting.
- ✗
Enable read scale-out to offload read queries.
Why it's wrong here
Read scale-out is unavailable on the Standard tier and only redirects read-only connections to a secondary replica, leaving the write workload on the primary. It is tempting because it genuinely relieves read pressure, and would be correct on Premium or Business Critical tiers with read-heavy workloads.
- ✗
Create nonclustered indexes on all tables.
Why it's wrong here
Indexes cannot be created on every table blindly; write-heavy tables gain insert, update and delete overhead, and the S2 tier's fixed DTUs remain the binding constraint. It is tempting because indexing does accelerate reads, and would be correct after identifying specific slow queries with missing-index recommendations.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
Go deeper
Related to this question
Learn chapter
Managing Environment Configurations and Resource Governance
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 and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Microsoft exam blueprint
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