The answer is to migrate to Amazon Aurora MySQL with an appropriate instance size. This directly reduces RDS write latency because Aurora’s distributed storage architecture delivers up to 20 times the write throughput of standard RDS MySQL, eliminating the bottleneck of hitting a fixed provisioned IOPS limit. Unlike RDS, Aurora uses a 6-replica quorum-based write model that automatically scales storage I/O, so you never need to over-provision IOPS to handle peak loads—keeping costs comparable or lower. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of Aurora’s storage engine versus RDS’s provisioned IOPS model; a common trap is choosing to increase RDS IOPS, which raises costs without addressing the architectural limit. Remember the mnemonic: “Aurora writes like a quorum, not a quota.”
DEA-C01 Data Store Management Practice Question
This DEA-C01 practice question tests your understanding of data store management. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
A company runs an Amazon RDS for MySQL database. The database experiences high write latency during peak hours. The data engineer notices that the WriteIOPS metric is consistently at the provisioned limit. Which action would most effectively reduce write latency without increasing costs?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Migrate to Amazon Aurora MySQL with appropriate instance size
Migrating to Amazon Aurora MySQL with an appropriate instance size reduces write latency because Aurora’s distributed storage architecture provides up to 20 times the write throughput of standard MySQL on RDS, without requiring additional IOPS provisioning. Aurora automatically scales storage I/O and uses a 6-replica quorum-based write model, which eliminates the bottleneck of hitting a fixed IOPS limit while keeping costs comparable to or lower than provisioned IOPS on RDS.
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.
✗
Enable Multi-AZ deployment
Why it's wrong here
Multi-AZ provides high availability but does not improve write throughput.
✗
Increase the provisioned IOPS on the existing RDS instance
Why it's wrong here
This increases cost and may not be efficient if the bottleneck is elsewhere.
✗
Add a read replica to offload read traffic
Why it's wrong here
Read replicas handle only read queries, not writes.
✓
Migrate to Amazon Aurora MySQL with appropriate instance size
Why this is correct
Aurora's distributed storage can handle higher write throughput with lower latency and cost.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume increasing provisioned IOPS (Option B) is the only way to fix write latency, overlooking that Aurora’s pay-per-request I/O model can provide higher throughput without a fixed cost increase, and that Multi-AZ (Option A) is a common distractor because it sounds like it improves performance but actually targets availability.
Detailed technical explanation
How to think about this question
Aurora MySQL decouples compute from storage, using a shared, auto-scaling storage volume that stripes data across multiple Availability Zones. Write I/O is handled by the storage layer, which can absorb bursts far beyond the provisioned IOPS limit of standard RDS, and Aurora only charges for the I/O operations actually consumed, not a fixed provisioned amount. This makes it cost-effective for workloads with spiky write patterns, as you avoid over-provisioning IOPS that sit idle during off-peak hours.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Data Store Management — This question tests Data Store Management — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Migrate to Amazon Aurora MySQL with appropriate instance size — Migrating to Amazon Aurora MySQL with an appropriate instance size reduces write latency because Aurora’s distributed storage architecture provides up to 20 times the write throughput of standard MySQL on RDS, without requiring additional IOPS provisioning. Aurora automatically scales storage I/O and uses a 6-replica quorum-based write model, which eliminates the bottleneck of hitting a fixed IOPS limit while keeping costs comparable to or lower than provisioned IOPS on RDS.
What should I do if I get this DEA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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