The answer is a predictive scaling policy. This is the correct choice because predictive scaling uses machine learning to analyze historical traffic patterns and proactively add capacity before demand spikes, directly addressing the performance degradation during peak hours while optimizing cost by avoiding over-provisioning during off-peak times. On the AWS Certified SysOps Administrator Associate SOA-C02 exam, this question tests your ability to distinguish between reactive and proactive scaling strategies; a common trap is choosing scheduled scaling for predictable patterns, but predictive scaling is superior when the pattern is consistent yet requires automatic adjustment to actual load variations. Remember the memory tip: “Predict before you react” — predictive scaling forecasts, while simple and step scaling only respond after the fact.
SOA-C02 Cost and Performance Optimization Practice Question
This SOA-C02 practice question tests your understanding of cost and performance optimization. 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 is running a stateful web application on EC2 instances in an Auto Scaling group. The application requires low latency and high throughput. Currently, the application is experiencing performance degradation during peak hours. Which scaling strategy should the SysOps administrator implement to improve performance and optimize cost?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Predictive scaling policy
Option B is correct because predictive scaling uses historical data to forecast capacity needs, scaling in advance to handle peak loads, improving performance and cost. Simple scaling may react too slowly. Step scaling is better than simple but still reactive. Scheduled scaling works for predictable patterns but not dynamic ones.
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.
✗
Step scaling policy based on memory utilization
Why it's wrong here
Reactive; can cause oscillations and may not handle sudden spikes well.
✗
Scheduled scaling with fixed times
Why it's wrong here
Works only if traffic pattern is perfectly predictable; not flexible.
✗
Simple scaling policy based on CPU utilization
Why it's wrong here
Reactive; may not keep up with rapid spikes, causing performance issues.
✓
Predictive scaling policy
Why this is correct
Proactively scales based on forecast, improving performance and cost.
Related concept
Static NAT maps one inside address to one outside address.
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 SOA-C02 NAT questions on configuration and troubleshooting.
Cost and Performance Optimization — This question tests Cost and Performance Optimization — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Predictive scaling policy — Option B is correct because predictive scaling uses historical data to forecast capacity needs, scaling in advance to handle peak loads, improving performance and cost. Simple scaling may react too slowly. Step scaling is better than simple but still reactive. Scheduled scaling works for predictable patterns but not dynamic ones.
What should I do if I get this SOA-C02 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 SOA-C02 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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Question Discussion
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