AWS Cloud Practitioner Essentials T3.3

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Questions and Answers

What is a key advantage of using serverless compute in AWS over server compute?

You can run applications with fixed server capacities.

You must manage all instances manually.

You have complete control over the underlying servers.

You pay for the runtime of your application only when it is in use. (correct)

Which instance type is best suited for applications that require high CPU performance?

Memory Optimized

General Purpose

Storage Optimized

Compute Optimized (correct)

In which scenario is Auto Scaling particularly beneficial?

When using a single EC2 instance for an application.

When running a batch job that needs a fixed number of instances.

For workloads with fluctuating traffic demands. (correct)

When hosting a static website with consistent traffic.

What is a primary function of an Elastic Load Balancer?

To distribute incoming application traffic across multiple resources. (A) Signup and view all the answers

Which of the following is NOT a type of EC2 instance?

Storage Free (B) Signup and view all the answers

How does a pay-as-you-go pricing model benefit AWS EC2 users?

You can avoid paying for instances that are not in use. (D) Signup and view all the answers

When would you choose to use a GPU instance in AWS?

For tasks such as deep learning or 3D rendering. (A) Signup and view all the answers

What is a common use case for the Application Load Balancer (ALB)?

Routing traffic based on path or URL patterns. (B) Signup and view all the answers

What does the 'Memory Optimized' EC2 instance family primarily offer?

Increased memory for handling large datasets. (D) Signup and view all the answers

What is the primary function of a Network Load Balancer (NLB)?

To distribute TCP/UDP traffic efficiently. (D) Signup and view all the answers

When should you choose AWS Fargate over AWS Lambda?

When you need to run long-running applications without timeout limits. Or you are deploying containerized applications with custom runtime environments. (C) Signup and view all the answers

Which AWS service is best suited for deploying Kubernetes-managed containers?

AWS EKS (B) Signup and view all the answers

What is one of the key benefits of using AWS Lambda?

You pay only for the compute time you use. (D) Signup and view all the answers

In which scenario is it recommended to use Amazon ECS?

For a simple, AWS-native container orchestration solution. (C) Signup and view all the answers

How does AWS Auto Scaling enhance an application’s performance during high demand?

By automatically adding instances when traffic increases. (D) Signup and view all the answers

What distinguishes AWS Elastic Container Service (ECS) from AWS Elastic Kubernetes Service (EKS)?

ECS is for simpler AWS-native container management. (D) Signup and view all the answers

Which option is NOT a characteristic of EC2 instances?

Supports serverless architecture with no management. (A) Signup and view all the answers

What is a common use case for implementing AWS Lambda?

Processing scheduled data updates for applications. (B) Signup and view all the answers

What key aspect differentiates AWS Fargate from traditional container services?

Fargate provides a fully managed serverless model for containers. (B) Signup and view all the answers

Study Notes

AWS Compute Services Overview

AWS provides compute services for running applications and workloads, offering flexibility, scalability and efficiency.

Amazon EC2 (Elastic Compute Cloud)

EC2 provides virtual servers (instances) for running applications in the cloud.
Instance types vary based on needs (CPU, memory, storage).
Pricing is pay-as-you-go: pay only for instance usage.
- General Purpose: Balanced for CPU, memory and networking; suitable for web servers (t3, m5 families).
- Compute Optimized: High-performance processors for CPU-intensive tasks (like machine learning) (c5 family).
- Memory Optimized: More memory for large datasets or in-memory databases (r5 family).
- Storage Optimized: Optimized for high-speed or large storage needs (i3 family).
- GPU Instances: Accelerate tasks like deep learning (p3 family).
EC2 is best for applications needing full control over virtual machines.

Auto Scaling

Auto Scaling automatically adjusts the number of EC2 instances based on demand.
Maintains high availability and saves costs.
Suitable for fluctuating workloads (like e-commerce during sales).

Elastic Load Balancers (ELB)

Load Balancers distribute incoming traffic across multiple servers (e.g., EC2 instances).
Keeps applications available and handles large traffic.
- Application Load Balancer (ALB): Works at the application layer (HTTP/HTTPS), routing traffic based on URLs.
- Network Load Balancer (NLB): Works at the network layer (TCP/UDP), ideal for high-performance, low-latency traffic.
- Classic Load Balancer (CLB): A legacy option for basic load balancing.
ELBs are crucial for distributing traffic for high availability and performance.

Container Services

AWS offers services to manage and deploy containerized applications.
- Amazon ECS (Elastic Container Service): Fully managed container orchestration for Docker containers.
- Amazon EKS (Elastic Kubernetes Service): Managed Kubernetes service for container orchestration (advanced scaling and deployment).
- AWS Fargate: Serverless compute engine for running containers without managing servers.
ECS is suitable for simpler container needs, EKS offers advanced Kubernetes management, and Fargate avoids server management.

Serverless Compute

AWS serverless compute (no infrastructure management) options:
- AWS Lambda: Executes code in response to events (like HTTP requests), paying only for used compute time.
- AWS Fargate: Runs containers without server management.
Lambda is best for event-driven applications, while Fargate handles container workloads without infrastructure management.

Key Differences Between Compute Options

A summarized comparison of compute services highlighting their key benefits and best use cases. (See table in original text).

Real-World Scenarios

E-commerce: Use EC2, Auto Scaling, and ELB to handle fluctuating traffic.
Microservices: Use ECS or EKS for container orchestration.
Weather App: Use AWS Lambda for hourly scheduled data updates.

Key Takeaways

Choose EC2 instance types based on workload requirements.
Auto Scaling adjusts resources automatically.
Load Balancers distribute traffic efficiently.
Choose container services (ECS, EKS, Fargate) based on needs.
Serverless options (Lambda, Fargate) are suitable for applications without infrastructure management.

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Description

Explore the various AWS compute services, focusing on Amazon EC2. Learn about the different instance types available for specific workloads including general-purpose, compute-optimized, and memory-optimized instances. Understand the fundamentals of auto-scaling and the benefits of using AWS for application deployment.