- A
Use DynamoDB Accelerator (DAX) as a cache layer.
Why wrong: DAX improves read performance but does not handle write spikes or capacity scaling.
- B
Enable DynamoDB Auto Scaling for read and write capacity.
Auto Scaling adjusts capacity based on traffic patterns, handling spikes automatically.
- C
Set up a TTL (Time to Live) to automatically expire old items.
Why wrong: TTL helps with storage management, not throughput spikes.
- D
Implement DynamoDB Global Tables for multi-region replication.
Why wrong: Global Tables provide disaster recovery and local reads, not capacity scaling.
Quick Answer
The answer is DynamoDB Auto Scaling. This feature allows you to define a target utilization percentage for read and write capacity, and DynamoDB automatically adjusts provisioned throughput up or down based on actual traffic patterns using CloudWatch alarms, handling unpredictable traffic spikes without manual intervention. On the AWS Certified Database Specialty DBS-C01 exam, this question tests your understanding of capacity management trade-offs; a common trap is choosing On-Demand capacity mode, which also handles spikes automatically but is often the more expensive choice for workloads that are not truly random. The key distinction is that Auto Scaling is the classic, cost-optimized answer for unpredictable spikes within a provisioned model, while On-Demand is reserved for workloads with zero prior traffic patterns. Memory tip: think "Auto Scaling = automatic throttle adjustment" to avoid confusing it with DAX (caching) or Global Tables (replication).
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 startup is building a mobile app backend using Amazon DynamoDB. They anticipate unpredictable traffic spikes. Which DynamoDB feature should they use to handle the spikes without manual intervention?
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
Enable DynamoDB Auto Scaling for read and write capacity.
DynamoDB Auto Scaling adjusts provisioned throughput based on actual traffic, using CloudWatch alarms. This handles spikes automatically. On-Demand capacity mode is another option that handles spikes automatically but can be more expensive for predictable workloads. However, the question asks for a feature to handle unpredictable spikes. Auto Scaling is the traditional approach. On-Demand is also valid but the question may expect Auto Scaling as the classic answer. But to be precise, On-Demand is designed for unpredictable traffic. However, the options: A: Auto Scaling, B: DAX, C: Global Tables, D: TTL. Auto Scaling is the most direct answer.
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.
- ✗
Use DynamoDB Accelerator (DAX) as a cache layer.
Why it's wrong here
DAX improves read performance but does not handle write spikes or capacity scaling.
- ✓
Enable DynamoDB Auto Scaling for read and write capacity.
Why this is correct
Auto Scaling adjusts capacity based on traffic patterns, handling spikes automatically.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
Set up a TTL (Time to Live) to automatically expire old items.
Why it's wrong here
TTL helps with storage management, not throughput spikes.
- ✗
Implement DynamoDB Global Tables for multi-region replication.
Why it's wrong here
Global Tables provide disaster recovery and local reads, not capacity scaling.
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 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. NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated. 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.
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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Workload-Specific Database Design — study guide chapter
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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 — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Enable DynamoDB Auto Scaling for read and write capacity. — DynamoDB Auto Scaling adjusts provisioned throughput based on actual traffic, using CloudWatch alarms. This handles spikes automatically. On-Demand capacity mode is another option that handles spikes automatically but can be more expensive for predictable workloads. However, the question asks for a feature to handle unpredictable spikes. Auto Scaling is the traditional approach. On-Demand is also valid but the question may expect Auto Scaling as the classic answer. But to be precise, On-Demand is designed for unpredictable traffic. However, the options: A: Auto Scaling, B: DAX, C: Global Tables, D: TTL. Auto Scaling is the most direct answer.
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
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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