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CLF-C02/Topic 04

AWS / Foundational

EC2, Containers and Serverless Compute

2 min read5 recall promptsReviewed 2026-10-10

Memory hook: Choose who manages the server, then choose how the capacity is paid for.

Must remember

  • EC2 provides virtual machines and OS-level control. General-purpose, compute-optimised, memory-optimised, storage-optimised and accelerated families fit different bottlenecks. More CPU cannot repair a storage bottleneck automatically.
  • An AMI is a launch image; user data bootstraps an instance. Auto Scaling adjusts or maintains fleet capacity, while Elastic Load Balancing sends traffic to healthy targets. Multi-AZ capacity and externalised session data help make instances replaceable.
  • ECS is AWS container orchestration; EKS provides managed Kubernetes. Fargate supplies serverless compute for supported container tasks/pods. A container image is packaged application content, not an orchestration service.
  • Lambda runs functions on events with managed infrastructure and execution limits. It suits bounded processing; persistent state belongs in an appropriate external service. Elastic Beanstalk deploys supported application platforms while provisioning resources that still appear in your account. Lightsail offers simpler bundled infrastructure.
  • On-Demand has no long-term usage commitment. Savings Plans exchange a spend commitment for eligible discounts. Reserved Instances apply reservation/discount rules to qualifying usage; regional and zonal EC2 reservations differ in flexibility and capacity benefit.
  • Spot uses spare capacity that can be interrupted: favour resumable, flexible work. Dedicated Instances isolate tenancy from other customers; Dedicated Hosts expose a physical host allocation for host-level licensing or compliance requirements. Capacity Reservations reserve matching capacity and are not inherently a discount.
  • Match architecture before price. A cheap interrupted instance can be an expensive choice for a non-resumable critical task. Stopping EC2 compute does not remove attached EBS, snapshots or other retained billable resources.

Choose under exam pressure

Requirement Choice and reason
Run an existing Kubernetes workload EKS; select nodes or supported Fargate execution.
Interruptible batch processing Spot with retry/checkpoint design.
Need access to the guest OS EC2 rather than Lambda.

Traps

  • Fargate is compute, ECS/EKS are orchestrators.
  • A commitment discount is not the same as a guarantee of capacity.
  • Serverless means server management is abstracted, not that limits and charges disappear.

Active recall

1. Does an ALB automatically add EC2 instances?

No. It distributes requests; Auto Scaling manages fleet capacity.

2. A licence depends on physical host sockets. Which option should be evaluated?

Dedicated Hosts, subject to the licence terms.

3. A function needs to remember a cart across invocations. Where should it keep it?

In durable external storage such as DynamoDB, not execution-environment memory.

4. Which purchase model fits an unknown short experiment?

On-Demand, avoiding a long commitment.

5. Does terminating a task necessarily delete its database?

No. Resource lifecycles are separate; inventory retained resources.

Sources

CLOSE THE NOTES. EXPLAIN THE CHOICE.

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