- A
Continue using on-demand capacity but ensure the table has no throttling.
On-demand capacity handles unpredictable traffic spikes automatically, avoiding throttling, and is cost-effective for spiky workloads.
- B
Implement DynamoDB Accelerator (DAX) to reduce read load.
Why wrong: DAX is a cache for reads and does not address write throttling.
- C
Switch to provisioned capacity with auto scaling configured for the expected peak.
Why wrong: Auto scaling may not react quickly enough to sudden spikes, and setting high max capacity could increase costs.
- D
Use an Amazon SQS queue to buffer write requests before DynamoDB.
Why wrong: Adding a queue introduces latency and complexity; it may not meet the low-latency requirements of a leaderboard.
DBS-C01 Management and Operations Practice Question
This DBS-C01 practice question tests your understanding of management and operations. 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 DynamoDB with on-demand capacity for a gaming leaderboard. During a promotional event, write traffic spikes 10x, causing occasional 'ProvisionedThroughputExceededException' errors. The application retries with exponential backoff, but latency increases. The team notices that the 'ThrottledWriteRequests' metric spikes. What is the MOST cost-effective solution to handle these unpredictable spikes?
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
Continue using on-demand capacity but ensure the table has no throttling.
Option D is correct because on-demand capacity automatically scales to handle traffic spikes, eliminating throttling without manual intervention, and is cost-effective for unpredictable workloads. Option A is wrong because while DAX reduces read latency, it does not help with write throttling. Option B is wrong because auto scaling requires setting min/max capacity and may not react fast enough to sudden spikes. Option C is wrong because implementing a queue adds complexity and latency, and is not the simplest solution.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Continue using on-demand capacity but ensure the table has no throttling.
Why this is correct
On-demand capacity handles unpredictable traffic spikes automatically, avoiding throttling, and is cost-effective for spiky workloads.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
Implement DynamoDB Accelerator (DAX) to reduce read load.
Why it's wrong here
DAX is a cache for reads and does not address write throttling.
- ✗
Switch to provisioned capacity with auto scaling configured for the expected peak.
Why it's wrong here
Auto scaling may not react quickly enough to sudden spikes, and setting high max capacity could increase costs.
- ✗
Use an Amazon SQS queue to buffer write requests before DynamoDB.
Why it's wrong here
Adding a queue introduces latency and complexity; it may not meet the low-latency requirements of a leaderboard.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DBS-C01 NAT questions on configuration and troubleshooting.
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Management and Operations — study guide chapter
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FAQ
Questions learners often ask
What does this DBS-C01 question test?
Management and Operations — This question tests Management and Operations — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Continue using on-demand capacity but ensure the table has no throttling. — Option D is correct because on-demand capacity automatically scales to handle traffic spikes, eliminating throttling without manual intervention, and is cost-effective for unpredictable workloads. Option A is wrong because while DAX reduces read latency, it does not help with write throttling. Option B is wrong because auto scaling requires setting min/max capacity and may not react fast enough to sudden spikes. Option C is wrong because implementing a queue adds complexity and latency, and is not the simplest solution.
What should I do if I get this DBS-C01 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DBS-C01 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 20, 2026
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