Quick Answer
Amazon Aurora MySQL is the correct choice for read-heavy e-commerce workloads requiring high availability and automatic failover because its architecture decouples compute from storage, enabling up to 15 low-latency read replicas to absorb heavy read traffic while the distributed storage layer automatically scales I/O during write spikes like flash sales. This design ensures failover typically completes in under 30 seconds, maintaining continuous availability without manual intervention. On the AWS Certified Database Specialty DBS-C01 exam, this scenario tests your understanding of Aurora’s Multi-AZ failover behavior and its ability to handle mixed read-write patterns—a common trap is selecting RDS Multi-AZ MySQL, which offers fewer replicas and slower failover. Remember: for flash sales, think “Aurora scales storage I/O automatically,” while RDS requires manual scaling. Memory tip: “Aurora reads like a library with 15 copies of the book; RDS is just one copy with a backup.”
This DBS-C01 practice question tests your understanding of workload-specific database design. 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.
A company is designing a database for an e-commerce application that requires high availability and automatic failover. The application performs mainly read-heavy workloads with occasional write spikes during flash sales. Which AWS database service is most suitable for this workload?
Amazon DynamoDB with global tables
Why wrong: NoSQL, not suitable for relational e-commerce data.
Amazon Aurora MySQL
High availability and read replicas for read-heavy workloads.
Amazon ElastiCache for Redis
Why wrong: Caching only, not a primary database.
Amazon RDS for MySQL with Multi-AZ
Why wrong: Multi-AZ provides HA but limited read scalability.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Amazon Aurora MySQL
Amazon Aurora MySQL is the most suitable choice because it is designed for high availability with automatic failover (typically under 30 seconds) and provides up to 15 low-latency read replicas that can handle read-heavy workloads. During write spikes like flash sales, Aurora's distributed storage subsystem automatically scales I/O capacity without manual intervention, and its Multi-AZ deployment ensures continuous availability even if the primary instance fails.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Amazon DynamoDB with global tables
Why it's wrong here
NoSQL, not suitable for relational e-commerce data.
Amazon Aurora MySQL
Why this is correct
High availability and read replicas for read-heavy workloads.
Related concept
Read the scenario before looking for a memorised answer.
Amazon ElastiCache for Redis
Why it's wrong here
Caching only, not a primary database.
Amazon RDS for MySQL with Multi-AZ
Why it's wrong here
Multi-AZ provides HA but limited read scalability.
Common exam traps
The trap here is that candidates often confuse Multi-AZ with high availability and choose RDS MySQL Multi-AZ (Option D), overlooking that Aurora provides the same failover capability with superior read scaling and write performance for bursty workloads.
Detailed technical explanation
Under the hood, Aurora separates the storage layer from the compute layer, using a 6-replica quorum-based storage system spread across three Availability Zones, which allows it to achieve faster failover and self-healing storage. During a flash sale, Aurora can automatically scale storage I/O up to 200,000 IOPS per instance without provisioning, and its read replicas can be promoted to primary in seconds, unlike RDS MySQL where replica promotion can take minutes. A real-world scenario where this matters is when a flash sale causes a sudden write burst; Aurora's distributed storage can absorb the load without throttling, while RDS MySQL Multi-AZ might hit IOPS limits or experience replication lag.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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.
What to study next
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Workload-Specific Database Design — study guide chapter
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FAQ
Workload-Specific Database Design — This question tests Workload-Specific Database Design — Read the scenario before looking for a memorised answer..
The correct answer is: Amazon Aurora MySQL — Amazon Aurora MySQL is the most suitable choice because it is designed for high availability with automatic failover (typically under 30 seconds) and provides up to 15 low-latency read replicas that can handle read-heavy workloads. During write spikes like flash sales, Aurora's distributed storage subsystem automatically scales I/O capacity without manual intervention, and its Multi-AZ deployment ensures continuous availability even if the primary instance fails.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
This DBS-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 DBS-C01 exam.
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