- A
Replace the hard-coded DB instance endpoint with the Aurora reader endpoint for read traffic.
Correct. The reader endpoint is a cluster-level endpoint that automatically routes read connections to available Aurora Replicas. That removes the dependency on a specific DB instance endpoint and avoids application changes when the writer fails over or the writer instance identifier changes.
- B
Add additional Aurora Replicas and spread read queries across them.
Correct. Aurora Replicas provide horizontal read scaling, so more replicas increase aggregate read throughput and help absorb spikes in SELECT-heavy traffic. Offloading reads from the writer also reduces contention on the primary instance during failover and steady-state load.
- C
Enable Aurora Auto Scaling for the replicas so the cluster can add readers during demand spikes.
Correct. Aurora Auto Scaling can add or remove replicas based on a scaling policy and CloudWatch metrics, which helps the cluster keep pace with recurring bursts. This improves sustained read performance without manual capacity changes.
- D
Keep sending all traffic to the writer endpoint because it always has the freshest data.
Why wrong: Incorrect. Although the writer has the most recent committed data, forcing all reads through it creates a bottleneck and defeats Aurora's read-scaling design. A reader endpoint is the appropriate choice for read traffic.
- E
Replace Aurora with a single larger RDS instance and continue using the same read pattern.
Why wrong: Incorrect. A larger single instance may provide more CPU or memory, but it still concentrates reads and writes on one node and does not provide the same horizontal read scaling or failover abstraction as Aurora replicas and cluster endpoints.
SAA-C03 Design High-Performing Architectures Practice Question
This SAA-C03 practice question tests your understanding of design high-performing architectures. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 customer portal uses Amazon Aurora MySQL. The application currently sends all SELECT queries to the writer instance endpoint. During traffic spikes, read latency increases, and the team wants the cluster to survive a writer failover without manual endpoint changes for the application. Which changes should the team make? Select three.
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
Replace the hard-coded DB instance endpoint with the Aurora reader endpoint for read traffic.
Option A is correct because the Aurora reader endpoint automatically distributes read-only connections across all available Aurora Replicas, including the writer instance if it is configured to accept reads. This eliminates the need for manual endpoint changes during a failover, as the reader endpoint remains constant while the underlying instances change.
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.
- ✓
Replace the hard-coded DB instance endpoint with the Aurora reader endpoint for read traffic.
Why this is correct
Correct. The reader endpoint is a cluster-level endpoint that automatically routes read connections to available Aurora Replicas. That removes the dependency on a specific DB instance endpoint and avoids application changes when the writer fails over or the writer instance identifier changes.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Add additional Aurora Replicas and spread read queries across them.
Why this is correct
Correct. Aurora Replicas provide horizontal read scaling, so more replicas increase aggregate read throughput and help absorb spikes in SELECT-heavy traffic. Offloading reads from the writer also reduces contention on the primary instance during failover and steady-state load.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Enable Aurora Auto Scaling for the replicas so the cluster can add readers during demand spikes.
Why this is correct
Correct. Aurora Auto Scaling can add or remove replicas based on a scaling policy and CloudWatch metrics, which helps the cluster keep pace with recurring bursts. This improves sustained read performance without manual capacity changes.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Keep sending all traffic to the writer endpoint because it always has the freshest data.
Why it's wrong here
Incorrect. Although the writer has the most recent committed data, forcing all reads through it creates a bottleneck and defeats Aurora's read-scaling design. A reader endpoint is the appropriate choice for read traffic.
- ✗
Replace Aurora with a single larger RDS instance and continue using the same read pattern.
Why it's wrong here
Incorrect. A larger single instance may provide more CPU or memory, but it still concentrates reads and writes on one node and does not provide the same horizontal read scaling or failover abstraction as Aurora replicas and cluster endpoints.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think the writer endpoint is the only way to get fresh data, but Aurora Replicas provide nearly real-time consistency and survive failover without application changes, making them the correct choice for read scaling and high availability.
Detailed technical explanation
How to think about this question
Aurora Replicas share the same underlying storage volume as the writer, so they serve read traffic with minimal replication lag (typically under 100 ms). The reader endpoint uses DNS round-robin to balance connections across replicas, and Aurora Auto Scaling can dynamically add replicas based on CPU or connections metrics, ensuring the cluster can handle demand spikes without manual intervention.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this SAA-C03 question test?
Design High-Performing Architectures — This question tests Design High-Performing Architectures — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Replace the hard-coded DB instance endpoint with the Aurora reader endpoint for read traffic. — Option A is correct because the Aurora reader endpoint automatically distributes read-only connections across all available Aurora Replicas, including the writer instance if it is configured to accept reads. This eliminates the need for manual endpoint changes during a failover, as the reader endpoint remains constant while the underlying instances change.
What should I do if I get this SAA-C03 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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Last reviewed: Jun 11, 2026
This SAA-C03 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 SAA-C03 exam.
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