The answer is to scale up to a higher Hyperscale service objective. This is correct because Azure SQL Database Hyperscale separates compute from storage, and log write throughput is directly tied to the service objective you choose; a higher objective provisions more log I/O capacity and faster storage for the log write path, which directly addresses the bottleneck of high log write latency. On the Microsoft Azure Database Administrator Associate DP-300 exam, this question tests your understanding that within the Hyperscale tier, you can increase resources without leaving the tier—a common trap is thinking you must switch to a different tier or add read replicas, but those do not improve log write performance. Remember that scaling up within Hyperscale boosts the log throughput, while scaling out adds only read capacity. A useful memory tip: "Hyperscale log latency? Scale up, not out."
DP-300 Plan and implement data platform resources Practice Question
This DP-300 practice question tests your understanding of plan and implement data platform resources. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
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?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "primary"
Why it matters: Asks for the main purpose or function, not a secondary benefit. Eliminate answers that describe side-effects or partial functions.
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.
Option C is correct because 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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Clue confirmation
The clue word "primary" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Increase the MAXDOP setting for the database.
Why it's wrong here
MAXDOP affects query parallelism, not log write throughput.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may 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.
Detailed technical explanation
How to think about this question
In Azure SQL Database Hyperscale, log writes are handled by a dedicated log service that uses remote storage with high throughput. Scaling to a higher service objective increases the log rate limit (e.g., from 100 MB/s to 200 MB/s) and the number of log I/O operations per second, directly reducing latency under heavy write workloads. This is different from traditional SQL Server where log writes are local; in Hyperscale, the log service is a distributed component that benefits from higher service objectives.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-300 question in full detail.
Plan and implement data platform resources — This question tests Plan and implement data platform resources — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Scale up to a higher Hyperscale service objective. — Option C is correct because 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.
What should I do if I get this DP-300 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "primary". Asks for the main purpose or function, not a secondary benefit. Eliminate answers that describe side-effects or partial functions.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.