DP-300 Hyperscale log throughput Practice Question
Your company uses Azure SQL Database with the Hyperscale service tier. You notice that index maintenance operations are taking longer than expected. What is the most likely reason for this performance issue?
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
✓
The log write throughput is insufficient
In Azure SQL Database Hyperscale, index rebuild operations generate a large volume of log records. Although Hyperscale uses a distributed architecture with fast log commit, the log write throughput per service objective is finite and can become a bottleneck during intensive write operations like index rebuilds. This is the most common cause of slow index maintenance. Option A (General Purpose tier) is irrelevant as the question specifies Hyperscale. Option B (page compression) does not significantly impact index rebuild duration. Option D (simple recovery) is not the cause; even with simple recovery, the log write throughput during rebuild can be insufficient.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The database is using the General Purpose tier
Why it's wrong here
The question specifies Hyperscale tier, so General Purpose is irrelevant.
- ✗
The index is using page compression
Why it's wrong here
Page compression affects storage and query performance, not index rebuild time.
- ✓
The log write throughput is insufficient
Why this is correct
Hyperscale index rebuilds generate high log throughput; insufficient log throughput can cause delays.
- ✗
The transaction log is set to simple recovery
Why it's wrong here
Hyperscale uses a different logging architecture; simple recovery does not apply.
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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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.