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?

    <p>To distribute incoming application traffic across multiple resources.</p> Signup and view all the answers

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

    <p>Storage Free</p> Signup and view all the answers

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

    <p>You can avoid paying for instances that are not in use.</p> Signup and view all the answers

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

    <p>For tasks such as deep learning or 3D rendering.</p> Signup and view all the answers

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

    <p>Routing traffic based on path or URL patterns.</p> Signup and view all the answers

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

    <p>Increased memory for handling large datasets.</p> Signup and view all the answers

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

    <p>To distribute TCP/UDP traffic efficiently.</p> Signup and view all the answers

    When should you choose AWS Fargate over AWS Lambda?

    <p>When you prefer to utilize serverless computing without managing virtual servers.</p> Signup and view all the answers

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

    <p>AWS EKS</p> Signup and view all the answers

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

    <p>You pay only for the compute time you use.</p> Signup and view all the answers

    In which scenario is it recommended to use Amazon ECS?

    <p>For a simple, AWS-native container orchestration solution.</p> Signup and view all the answers

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

    <p>By automatically adding instances when traffic increases.</p> Signup and view all the answers

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

    <p>ECS is for simpler AWS-native container management.</p> Signup and view all the answers

    Which option is NOT a characteristic of EC2 instances?

    <p>Supports serverless architecture with no management.</p> Signup and view all the answers

    What is a common use case for implementing AWS Lambda?

    <p>Processing scheduled data updates for applications.</p> Signup and view all the answers

    What key aspect differentiates AWS Fargate from traditional container services?

    <p>Fargate provides a fully managed serverless model for containers.</p> 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.

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