SAA-C03 Design High-Performing Architectures Practice Question
A Lambda-based retail API has unpredictable traffic spikes and users see latency caused by cold starts. The function must respond consistently during expected campaign windows. What should be configured?
⚠ Common exam trap
Candidates often confuse reserved concurrency (which limits scaling but does not prevent cold starts) with provisioned concurrency (which pre-warms environments to eliminate cold starts).
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
✓
Provisioned concurrency during campaign windows
Provisioned concurrency initializes a specified number of execution environments in advance, eliminating cold starts during campaign windows. This ensures consistent latency even under unpredictable traffic spikes, as the function is always warm and ready to handle requests immediately.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
A larger deployment package
Why it's wrong here
A larger deployment package is incorrect because packaging more code or dependencies into the Lambda function increases the time required to download and unpack the deployment artifact during a cold start. This directly worsens latency rather than mitigating it, and it does nothing to pre-initialize execution environments or handle traffic spikes. Even if the function logic itself is large, the fundamental problem remains that new instances must be created from scratch when demand surges.
- ✗
Reserved concurrency only
Why it's wrong here
Reserved concurrency alone is incorrect because it only sets a limit on the number of concurrent executions and reserves capacity for your function, preventing throttling due to regional limits. It does not, however, pre-initialize any execution environments, so every new instance invoked during a spike still experiences a cold start with the attendant latency penalty. Reserved concurrency is a governance and capacity-planning tool, not a performance optimization for reducing initialization delay.
- ✓
Provisioned concurrency during campaign windows
Why this is correct
Provisioned concurrency is correct because it keeps a specified number of Lambda execution environments fully initialized and ready to handle requests immediately, thereby eliminating cold-start latency for traffic within the provisioned capacity. By configuring it only during campaign windows, you align the pre-warmed capacity with predictable traffic surges, which both improves response times and controls cost since you are not paying for idle provisioned concurrency outside those windows. This directly addresses the unpredictable spikes by turning them into a scheduled, managed pattern.
- ✗
CloudTrail data events
Why it's wrong here
CloudTrail data events are incorrect because they are used solely for auditing and recording API activity, such as object-level operations in S3 or Lambda invocations, and have no operational effect on Lambda's runtime performance. Enabling data events does not alter the execution environment lifecycle, nor does it reduce cold-start latency or increase concurrency. It simply adds logs for governance and security analysis, making it irrelevant to the performance problem described.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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