SAP-C02 Practice Question: Accelerate Workload Migration and Modernization
A company is migrating a batch processing workload to AWS. The workload runs daily on a single on-premises server and takes 6 hours to complete. The company wants to reduce processing time and cost. Which approach should the solutions architect recommend?
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
✓
Use AWS Batch to run the workload in parallel on multiple compute resources
AWS Batch can orchestrate parallel processing across multiple EC2 or Fargate resources, reducing time. A single larger instance may not reduce time as much as parallel processing. Lambda has a 15-minute execution limit. Step Functions alone does not provide compute.
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 AWS Batch to run the workload in parallel on multiple compute resources
Why this is correct
Correct: AWS Batch can parallelize the workload to reduce processing time.
- ✗
Use AWS Lambda with a 6-hour timeout
Why it's wrong here
Incorrect: Lambda maximum timeout is 15 minutes.
- ✗
Use AWS Step Functions to orchestrate the workload sequentially
Why it's wrong here
Incorrect: Step Functions does not provide compute; it orchestrates tasks.
- ✗
Use a single larger EC2 instance with more vCPUs
Why it's wrong here
Incorrect: May not be as cost-effective as parallel processing; limited by single instance scaling.
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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