SAP-C02 Design for New Solutions Practice Question
Network Topology
A company is monitoring a Lambda function named my-function. The function has an alias 'prod' that points to version 1. The above CLI output shows two metrics for the Errors metric. What is the likely reason for two metrics?
⚠ Common exam trap
It's easy for candidates to assume the alias 'prod' consolidates all metrics into a single stream, but AWS CloudWatch emits separate metric dimensions for each version, even when an alias points to a specific version, causing two distinct error metric lines.
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
✓
The function has two versions: $LATEST and version 1
The CLI output shows two metrics for the Errors metric because the function has two versions: $LATEST (the unpublished, mutable version) and version 1 (the published, immutable version). The alias 'prod' points to version 1, but CloudWatch metrics are emitted per version, so both $LATEST and version 1 generate separate error metric streams. This is why two distinct data points appear for the same metric name.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The function is invoked via two different triggers
Why it's wrong here
Triggers do not create separate metrics.
- ✗
The function is configured with two different reserved concurrency settings
Why it's wrong here
Reserved concurrency does not create separate metrics.
- ✓
The function has two versions: $LATEST and version 1
Why this is correct
Each version has its own metric.
- ✗
The function is deployed in two different regions
Why it's wrong here
CLI is for a single region.
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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