The answer is On-Demand capacity mode. This is the correct choice because DynamoDB On-Demand instantly scales to accommodate spiky workloads, such as the high write throughput during gaming events, and then automatically scales down to zero when traffic drops, charging only for the actual reads and writes consumed. On the AWS Certified Database Specialty DBS-C01 exam, this scenario tests your understanding of when to choose On-Demand over Provisioned capacity, specifically for unpredictable or intermittent traffic patterns where capacity planning is impractical. A common trap is selecting Provisioned capacity with Auto Scaling, which still requires you to set a minimum capacity and can incur costs during idle periods, whereas On-Demand eliminates all provisioning overhead. Memory tip: think “spiky = On-Demand” because it handles sudden bursts without any prior configuration, making it the cost-effective choice for workloads that are high one moment and quiet the next.
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 mobile gaming application uses Amazon DynamoDB to store player profiles and game state. The write throughput is high during events, but low otherwise. The company wants to minimize costs while maintaining performance. Which capacity mode should they use?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
On-Demand capacity mode
On-Demand capacity mode is ideal for this workload because it automatically scales to handle high write throughput during events and scales down to zero when idle, eliminating the need for capacity planning. This minimizes costs by charging only for actual reads and writes, without requiring any provisioning or management of throughput limits.
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.
✗
Reserved capacity
Why it's wrong here
Reserved capacity requires committing to a specific throughput, not suitable for variable workloads.
✓
On-Demand capacity mode
Why this is correct
Automatically handles spikes and charges per request, minimizing cost during low traffic.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Provisioned capacity without auto scaling
Why it's wrong here
Would under-provision during spikes or over-provision during low traffic.
✗
Provisioned capacity with auto scaling
Why it's wrong here
Works but may be less cost-effective if traffic is highly variable and unpredictable.
Common exam traps
Common exam trap: answer the scenario, not the keyword
AWS often tests the misconception that Provisioned capacity with auto scaling is always the most cost-effective option, but for unpredictable, spiky workloads like gaming events, On-Demand avoids the fixed costs of minimum provisioned capacity and the risk of throttling during rapid traffic surges.
Detailed technical explanation
How to think about this question
DynamoDB On-Demand uses a credit-based burst pool for short-term spikes, but sustained high traffic automatically triggers table scaling without throttling. Under the hood, On-Demand tables have a per-table throughput limit of 40,000 read and 40,000 write capacity units by default, which can be increased via a service quota request. In contrast, Provisioned capacity with auto scaling relies on CloudWatch alarms and a target utilization (e.g., 70%) to adjust capacity, but it cannot react instantly to sudden spikes, leading to potential throttling if the burst capacity is exhausted.
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 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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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: On-Demand capacity mode — On-Demand capacity mode is ideal for this workload because it automatically scales to handle high write throughput during events and scales down to zero when idle, eliminating the need for capacity planning. This minimizes costs by charging only for actual reads and writes, without requiring any provisioning or management of throughput limits.
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.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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