- A
Enable Multi-AZ deployment for automatic failover.
Why wrong: Multi-AZ provides HA, not read scaling.
- B
Migrate to Amazon Aurora and enable Auto Scaling.
Why wrong: Requires migration effort.
- C
Create one or more read replicas in the same region.
Read replicas handle read traffic without application changes.
- D
Upgrade to a larger DB instance class.
Why wrong: Vertical scaling has limits and is not elastic.
- E
Enable Amazon RDS Proxy to manage database connections.
RDS Proxy reduces connection churn and improves scalability.
Quick Answer
The correct answer is to create read replicas and enable Amazon RDS Proxy. Read replicas directly improve RDS read scalability without application changes by offloading SELECT-heavy traffic from the primary PostgreSQL instance, as they are asynchronous copies that can serve read queries independently. RDS Proxy further enhances this by efficiently managing database connections, reducing connection overhead and smoothing out traffic spikes without requiring code modifications. On the AWS Certified Database Specialty DBS-C01 exam, this scenario tests your understanding of scaling strategies that avoid application refactoring—a common trap is assuming you must rewrite queries or implement caching, when in fact read replicas plus a proxy handle the load transparently. Remember the memory tip: "Replicas for reads, Proxy for speed" — replicas distribute the read workload, while the proxy pools connections to handle bursty traffic, together delivering scalable performance with zero code changes.
DBS-C01 Workload-Specific Database Design Practice Question
This DBS-C01 practice question tests your understanding of workload-specific database design. 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 uses Amazon RDS for PostgreSQL for its CRM application. The application experiences intermittent spikes in read traffic. Which TWO actions can the company take to improve read scalability with minimal application changes?
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
Create one or more read replicas in the same region.
Option C is correct because creating read replicas in Amazon RDS for PostgreSQL offloads read traffic from the primary DB instance, directly addressing intermittent read spikes with minimal application changes. Read replicas are asynchronous replicas that can serve read queries, and the application only needs to update its connection string to point to the replica endpoint for read operations.
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 for automatic failover.
Why it's wrong here
Multi-AZ provides HA, not read scaling.
- ✗
Migrate to Amazon Aurora and enable Auto Scaling.
Why it's wrong here
Requires migration effort.
- ✓
Create one or more read replicas in the same region.
Why this is correct
Read replicas handle read traffic without application changes.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Upgrade to a larger DB instance class.
Why it's wrong here
Vertical scaling has limits and is not elastic.
- ✓
Enable Amazon RDS Proxy to manage database connections.
Why this is correct
RDS Proxy reduces connection churn and improves scalability.
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 confuse Multi-AZ (which provides failover but no read scaling) with read replicas, or assume that scaling up the instance class is the only way to handle read spikes, ignoring the horizontal scaling benefit of read replicas with minimal application changes.
Detailed technical explanation
How to think about this question
Amazon RDS for PostgreSQL read replicas use PostgreSQL's native streaming replication protocol (WAL-based) to maintain consistency, with a replication lag typically under a second in normal conditions. The application can use a read-only endpoint or a custom connection pool to distribute SELECT queries across replicas, and RDS automatically manages the replication slot and WAL retention to prevent data loss.
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this DBS-C01 question test?
Workload-Specific Database Design — This question tests Workload-Specific Database Design — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Create one or more read replicas in the same region. — Option C is correct because creating read replicas in Amazon RDS for PostgreSQL offloads read traffic from the primary DB instance, directly addressing intermittent read spikes with minimal application changes. Read replicas are asynchronous replicas that can serve read queries, and the application only needs to update its connection string to point to the replica endpoint for read operations.
What should I do if I get this DBS-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.
About these practice questions
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Same concept, more angles
1 more ways this is tested on DBS-C01
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 running a MySQL database on Amazon RDS for a web application. The application experiences read-heavy traffic, and the company wants to improve read performance without changing the application code. Which design should the database specialist recommend?
easy- A.Implement an Amazon ElastiCache Redis cluster in front of the database.
- ✓ B.Create one or more read replicas of the RDS DB instance.
- C.Increase the instance size of the RDS DB instance.
- D.Enable DynamoDB Accelerator (DAX) for the RDS instance.
Why B: Option B is correct because Amazon RDS read replicas allow you to offload read traffic from the primary DB instance without any application code changes. The application simply connects to the read replica endpoint(s) for SELECT queries, while writes continue to the primary instance. This directly addresses the read-heavy workload by distributing read requests across multiple copies of the database.
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Last reviewed: Jun 24, 2026
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