Understand AWS compute models, Regions, Availability Zones, shared responsibility, and choosing the right compute service.

Launch, inspect, manage, stop, start, reboot, and terminate EC2 instances safely.

Select AMIs, understand image attributes, and launch EC2 instances with explicit configuration.

Choose instance families and sizes based on CPU, memory, storage, network, and accelerator requirements.

Use EBS volumes and snapshots to provide persistent block storage for EC2 workloads.

Understand ENIs, private and public addresses, security groups, DNS hostnames, and EC2 network placement.

Bootstrap instances and retrieve runtime metadata using user data and the EC2 Instance Metadata Service.

Give EC2 applications AWS permissions using instance profiles and least-privilege IAM roles.

Use placement groups and capacity concepts to optimize workload locality, resilience, and performance.

Create reusable EC2 launch configurations for consistent instance provisioning and Auto Scaling.

Distribute application traffic across healthy targets using Application, Network, and Gateway Load Balancers.

Automatically maintain desired EC2 capacity and scale instances based on workload demand.

Choose EC2 purchasing options based on availability requirements, interruption tolerance, and cost goals.

Understand container images, registries, Docker workflows, and Amazon ECR for AWS container workloads.

Deploy containers with Amazon ECS using task definitions, services, clusters, and Fargate.

Build event-driven serverless functions with Lambda, execution roles, versions, aliases, and triggers.

Configure Lambda concurrency, environment variables, versions, aliases, and operational controls.

Apply least privilege, operating-system hardening, metadata protection, patching, and secrets-management practices.

Diagnose EC2, Auto Scaling, load-balancer, container, and Lambda failures using layered evidence.