AWS Concepts for Beginners

What is EC2 Auto Scaling and how does it work?

• EC2 Auto Scaling is a tool for monitoring network traffic.

• EC2 Auto Scaling is a service that automatically adjusts the number of EC2 instances based on demand.

• EC2 Auto Scaling is a manual process for managing EC2 instances.

• EC2 Auto Scaling only works with on-premises servers.

Explain the purpose of Elastic Load Balancing in AWS.

• To provide a single point of access for all application requests.

• To automatically scale the number of instances based on traffic.

• The purpose of Elastic Load Balancing in AWS is to distribute incoming application traffic across multiple targets to ensure high availability and fault tolerance.

• To store application data in a centralized location.

What is an AMI and why is it important in EC2?

• An AMI is a network configuration tool for AWS services.

• An AMI is a type of storage device for EC2 instances.

• An AMI is a monitoring service for EC2 performance.

• An AMI is a pre-configured template for launching EC2 instances, important for quick and consistent deployments.

How does AWS pricing differ between on-demand and reserved instances?

• Reserved instances are only available for short-term use without discounts.

• On-demand instances require upfront payment, while reserved instances are pay-as-you-go.

• On-demand instances are pay-as-you-go, while reserved instances require upfront payment and offer discounts for long-term commitment.

• Both on-demand and reserved instances have the same pricing structure.

What are spot instances and when should they be used?

• Spot instances are cost-effective cloud computing resources that can be used for flexible and fault-tolerant applications.

• Spot instances are guaranteed resources for critical applications.

• Spot instances are only available for on-premises servers.

• Spot instances are the most expensive option for cloud computing.

Describe the main features of AWS ECS.

• AWS ECS does not support load balancing.

• AWS ECS features include container orchestration, EC2 and Fargate support, service discovery, load balancing, auto-scaling, task definitions, and integration with AWS services.

• AWS ECS requires a dedicated physical server for each container.

• AWS ECS is only for serverless applications.

What is the difference between AWS ECS and EKS?

• AWS ECS supports only Windows containers, while AWS EKS supports Linux containers.

• AWS ECS is a serverless option, while AWS EKS requires dedicated servers.

• AWS ECS is for virtual machines, while AWS EKS is for Docker containers.

• AWS ECS is for Docker containers, while AWS EKS is for Kubernetes.

How does AWS Lambda handle serverless computing?

• AWS Lambda is a traditional server-based computing service.

• AWS Lambda only supports Java and Python for serverless applications.

• AWS Lambda requires manual server management for code execution.

• AWS Lambda enables serverless computing by executing code in response to events without server management.

What are the benefits of using reserved instances in AWS?

• Higher costs for on-demand instances

• Cost savings, capacity reservation, and flexibility in instance types.

• Limited access to instance types

• Increased latency and downtime

Explain how auto scaling can improve application availability.

• Auto scaling reduces the number of servers during low traffic periods.

• Auto scaling guarantees 100% uptime regardless of demand.

• Auto scaling only works for cloud-based applications.

• Auto scaling improves application availability by dynamically adjusting resources to meet demand, preventing downtime during peak usage.