Quick Answer
The answer is Amazon Aurora Serverless, the correct choice because it is a fully managed relational database that automatically scales capacity up or down based on application demand, making it ideal for unpredictable workloads. This serverless configuration uses an auto-scaling fleet of instances that can pause when idle, then wake and scale from zero to thousands of transactions per second without manual intervention, while still providing automated backups, continuous backups to Amazon S3, and point-in-time recovery. On the AWS Certified Database Specialty DBS-C01 exam, this scenario tests your understanding of when to choose serverless versus provisioned Aurora, with a common trap being to select standard Aurora or RDS for MySQL—both require manual scaling or capacity planning. Remember the memory tip: if the workload is unpredictable or intermittent, think “serverless scales on demand, not on your hands.”
This DBS-C01 practice question tests your understanding of workload-specific database design. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 startup needs a fully managed relational database with automated backups and scaling. They expect unpredictable workloads. Which AWS service meets these requirements?
Amazon DynamoDB
Why wrong: NoSQL, not relational.
Amazon Redshift
Why wrong: Data warehouse, not transactional relational database.
Amazon Aurora Serverless
Fully managed relational database with auto-scaling and backups.
Amazon ElastiCache
Why wrong: In-memory cache, not a database with durable storage.
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 Serverless
Amazon Aurora Serverless is a fully managed relational database that automatically scales capacity up or down based on application demand, making it ideal for unpredictable workloads. It also provides automated backups, continuous backups to Amazon S3, and point-in-time recovery, meeting all stated requirements.
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
Why it's wrong here
NoSQL, not relational.
Amazon Redshift
Why it's wrong here
Data warehouse, not transactional relational database.
Amazon Aurora Serverless
Why this is correct
Fully managed relational database with auto-scaling and backups.
Related concept
Read the scenario before looking for a memorised answer.
Amazon ElastiCache
Why it's wrong here
In-memory cache, not a database with durable storage.
Common exam traps
The trap here is that candidates often confuse DynamoDB's on-demand scaling with relational database requirements, overlooking that DynamoDB is NoSQL and not relational, or they mistakenly think Redshift's scaling capabilities apply to transactional workloads.
Detailed technical explanation
Aurora Serverless uses an auto-scaling configuration with Aurora Capacity Units (ACUs) that scale from 1 to 256 ACUs based on workload demand, pausing after a period of inactivity to reduce costs. Under the hood, it decouples compute and storage, with storage automatically growing up to 128 TiB and replicating data across three Availability Zones. A real-world scenario is a SaaS application with variable user traffic, where Aurora Serverless eliminates the need to provision for peak capacity.
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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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 Serverless — Amazon Aurora Serverless is a fully managed relational database that automatically scales capacity up or down based on application demand, making it ideal for unpredictable workloads. It also provides automated backups, continuous backups to Amazon S3, and point-in-time recovery, meeting all stated requirements.
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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