The answer is to increase the target value for the scaling metric, increase the number of tasks per service, and decrease the cooldown period. These three actions directly address slow ECS Fargate scaling during traffic spikes by making the service more aggressive and responsive. Raising the target value for CPU utilization, for example, triggers scaling actions sooner, while adding more tasks per service increases the baseline capacity to handle bursts, and shortening the cooldown period allows the Auto Scaling policy to react faster to new demand without waiting. On the AWS Certified Solutions Architect Professional SAP-C02 exam, this question tests your understanding of how to tune ECS Service Auto Scaling parameters, often hiding traps like reducing subnets or adjusting ALB idle timeout, which do not improve scaling speed. A common memory tip is “T3C” for Target, Tasks, and Cooldown—three levers that directly control scaling velocity in Fargate.
SAP-C02 Continuous Improvement for Existing Solutions Practice Question
This SAP-C02 practice question tests your understanding of continuous improvement for existing solutions. 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 company runs a web application on Amazon ECS with Fargate launch type. The application is behind an Application Load Balancer. During traffic spikes, the application becomes slow. The team suspects that the ECS service is not scaling fast enough. Which THREE actions should the team take to improve the scalability? (Choose three.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Decrease the scale-in and scale-out cooldown periods.
Options A, C, and E are correct. Option A: Increasing the number of tasks per service allows handling more concurrent requests. Option C: Decreasing the cooldown period allows faster scaling. Option E: Increasing the target value for the scaling metric makes scaling more aggressive. Option B is wrong because decreasing the number of subnets reduces capacity. Option D is wrong because decreasing the ALB idle timeout does not affect scaling.
Key principle: Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Decrease the number of subnets in the VPC.
Why it's wrong here
Fewer subnets reduce capacity and availability.
✓
Decrease the scale-in and scale-out cooldown periods.
Why this is correct
Shorter cooldowns allow scaling actions to happen more frequently.
Common exam trap: usable hosts are not the same as total addresses
Subnetting questions often tempt you into counting all addresses. In normal IPv4 subnets, the network and broadcast addresses are not usable host addresses.
Detailed technical explanation
How to think about this question
Subnetting questions test whether you can identify the network, broadcast address, usable range, mask and correct subnet. Slow down enough to calculate the block size correctly.
KKey Concepts to Remember
CIDR notation defines the prefix length.
Block size helps identify subnet boundaries.
Network and broadcast addresses are not usable hosts in normal IPv4 subnets.
The required host count determines the smallest suitable subnet.
TExam Day Tips
→Write the block size before choosing the subnet.
→Check whether the question asks for hosts, subnets or a specific address range.
→Do not confuse /24, /25, /26 and /27 host counts.
Key takeaway
Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets.
Real-world example
How this comes up in practice
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
Review block sizes, usable host formulas (2^n − 2), and how to find network and broadcast addresses for /24 through /30. Then practise related SAP-C02 subnetting questions on CIDR, address ranges, and subnet selection.
Continuous Improvement for Existing Solutions — This question tests Continuous Improvement for Existing Solutions — CIDR notation defines the prefix length..
What is the correct answer to this question?
The correct answer is: Decrease the scale-in and scale-out cooldown periods. — Options A, C, and E are correct. Option A: Increasing the number of tasks per service allows handling more concurrent requests. Option C: Decreasing the cooldown period allows faster scaling. Option E: Increasing the target value for the scaling metric makes scaling more aggressive. Option B is wrong because decreasing the number of subnets reduces capacity. Option D is wrong because decreasing the ALB idle timeout does not affect scaling.
What should I do if I get this SAP-C02 question wrong?
Review block sizes, usable host formulas (2^n − 2), and how to find network and broadcast addresses for /24 through /30. Then practise related SAP-C02 subnetting questions on CIDR, address ranges, and subnet selection.
What is the key concept behind this question?
CIDR notation defines the prefix length.
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Question Discussion
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