The answer is to change the storage type to General Purpose SSD (gp3) and set the provisioned IOPS to 5,000. This is correct because gp3 decouples IOPS from storage size, offering a baseline of 3,000 IOPS and 125 MB/s throughput at no extra cost, and allows you to independently provision up to 16,000 IOPS—directly resolving the 5,000 IOPS bottleneck without the burst bucket limitations of gp2, which only provides 1,500 baseline IOPS for 500 GB. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of RDS IOPS performance optimization between gp2 and gp3, specifically how gp3 eliminates the credit-based bursting model and reduces cost compared to io1. A common trap is assuming that upgrading the instance class or enabling Multi-AZ will fix I/O latency, but those address CPU/memory or high availability, not storage throughput. Memory tip: “gp3 gives you three freedoms—no burst math, independent IOPS, and lower cost.”
DEA-C01 Data Store Management Practice Question
This DEA-C01 practice question tests your understanding of data store management. Examine the command output carefully: the correct answer depends on what the output actually shows, not on general recall alone. 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 data engineer at a media company is managing an Amazon RDS for MySQL database that stores user profiles and preferences. The database has been running on a db.r5.large instance with 500 GB of General Purpose SSD (gp2) storage. Recently, the application team has noticed increased query latency during peak hours. Amazon CloudWatch metrics show that the ReadIOPS metric is consistently peaking at 5,000 IOPS, which is near the baseline performance of the gp2 volume (1,500 IOPS baseline for 500 GB, but with bursts up to 3,000 IOPS for short periods). The database is not CPU-bound, and memory utilization is moderate. The data engineer needs to resolve the I/O bottleneck with minimal cost increase. The company is open to changing the storage type or instance class, but wants to avoid over-provisioning. What should the data engineer do?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Change the storage type to General Purpose SSD (gp3) and set the provisioned IOPS to 5,000.
Option D is correct because gp3 provides a baseline of 3,000 IOPS and 125 MB/s throughput at no additional cost, and can be increased independently. This would give 5,000 IOPS without the burst limitations of gp2. Option A is incorrect because moving to Provisioned IOPS (io1) would be more expensive and requires provisioning IOPS. Option B is incorrect because increasing instance size to memory-optimized classes does not directly improve IOPS; it adds unnecessary memory cost. Option C is incorrect because Multi-AZ does not improve read IOPS performance; the standby is not used for reads.
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.
✓
Change the storage type to General Purpose SSD (gp3) and set the provisioned IOPS to 5,000.
Why this is correct
gp3 provides a baseline of 3,000 IOPS and can be scaled up to 5,000 at lower cost than io1.
Related concept
Read the scenario before looking for a memorised answer.
✗
Enable Multi-AZ deployment to offload reads to the standby instance.
Why it's wrong here
Multi-AZ standby is not used for reads; it's for failover.
✗
Change the storage type to Provisioned IOPS SSD (io1) and provision 5,000 IOPS.
Why it's wrong here
io1 is more expensive than gp3 for the same IOPS.
✗
Upgrade the instance to a db.r5.xlarge to get more memory and reduce I/O.
Why it's wrong here
More memory does not directly increase IOPS; the bottleneck is I/O, not memory.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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: Change the storage type to General Purpose SSD (gp3) and set the provisioned IOPS to 5,000. — Option D is correct because gp3 provides a baseline of 3,000 IOPS and 125 MB/s throughput at no additional cost, and can be increased independently. This would give 5,000 IOPS without the burst limitations of gp2. Option A is incorrect because moving to Provisioned IOPS (io1) would be more expensive and requires provisioning IOPS. Option B is incorrect because increasing instance size to memory-optimized classes does not directly improve IOPS; it adds unnecessary memory cost. Option C is incorrect because Multi-AZ does not improve read IOPS performance; the standby is not used for reads.
What should I do if I get this DEA-C01 question wrong?
Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company is using Amazon RDS for SQL Server with Multi-AZ. The database has a 500 GB data file and 100 GB log file. The application experiences high latency during peak hours. Monitoring shows high WriteIOPS on the primary. Which change will reduce latency without losing the ability to failover?
hard
A.Reduce the log file size by changing recovery model
✓ B.Increase the provisioned IOPS on the RDS instance
C.Create a Read Replica in a different Availability Zone
D.Switch to Multi-AZ with two readable standbys
Why B: Option A is correct because increasing IOPS reduces latency for writes. Option B is wrong because Read Replicas help reads, not writes. Option C is wrong because log file size is not the issue. Option D is wrong because Multi-AZ does not reduce latency.
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This DEA-C01 practice question is part of Courseiva's free Amazon Web Services 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 DEA-C01 exam.
Question Discussion
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