> For the complete documentation index, see [llms.txt](https://awsinpractice.itassist.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://awsinpractice.itassist.com/study-group/aws-certified-solutions-architect-associate/domain-3/task-statement-3.2-design-high-performing-and-elastic-compute-solutions/hands-on-labs-and-final-challenge.md).

# Hands-on Labs & Final Challenge

#### **Scenario:**

SecureCart’s engineering team must **implement a scalable, elastic, and cost-efficient AWS compute architecture**.

#### **Final Study Group Challenges:**

✅ **Scenario 1:** Choose & Deploy the Best Compute Option for a High-Traffic Application\
✅ **Scenario 2:** Implement Auto Scaling for a Compute-Intensive Workload\
✅ **Scenario 3:** Decouple Services Using SQS & EventBridge for Better Performance\
✅ **Scenario 4:** Deploy a Containerized Microservice Using AWS Fargate\
✅ **Scenario 5:** Optimize Compute Costs Using Spot Instances & Compute Savings Plans

🔹 **Outcome:** Learners **demonstrate AWS best practices for scalable compute architectures**.

***

### **📚 Recommended Study Resources**

✅ **AWS Well-Architected Framework – Performance Efficiency Pillar**\
✅ **AWS Auto Scaling Best Practices**\
✅ **AWS Compute Optimizer & Cost Management Guide**\
✅ **Amazon ECS vs. EKS vs. Lambda Decision Guide**\
✅ **AWS Step Functions & Event-Driven Compute Whitepapers**