DP-300 Plan and implement data platform resources Practice Question
Your company uses Azure SQL Database with the Hyperscale service tier. You notice that the database is experiencing high I/O latency during peak hours. After analyzing the query performance, you determine that the primary bottleneck is due to log write throughput. You need to reduce log write latency without changing the service tier. What should you do?
⚠ Common exam trap
Candidates often confuse scaling up with changing the service tier, or think that read scale-out or query hints can solve a write-specific bottleneck, when in fact only increasing the service objective within the same tier addresses log write throughput.
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 to a higher Hyperscale service objective.
Scaling up to a higher Hyperscale service objective increases the log write throughput by provisioning more log I/O capacity and faster storage. Since the bottleneck is specifically log write latency, and you cannot change the service tier, increasing the service objective within Hyperscale directly addresses the issue by allocating more resources to the log write path.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Configure Query Store hints to force parameterization.
Why it's wrong here
Query Store hints do not affect log write throughput.
- ✗
Enable read scale-out to offload read queries.
Why it's wrong here
Read scale-out offloads reads, not log writes.
- ✓
Scale up to a higher Hyperscale service objective.
Why this is correct
Higher SLO increases the log rate limit and reduces log write latency.
- ✗
Increase the MAXDOP setting for the database.
Why it's wrong here
MAXDOP affects query parallelism, not log write throughput.
Go deeper
Related to this question
Learn chapter
Overview of Azure Data Platform Options
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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