
If you are going to an AWS interview and don’t know where to start, refer to our interview guide. AS AWS is one of the biggest cloud computing service providers, there are plenty of opportunities for those who have in-depth AWS knowledge.
AWS knowledge is important for roles such as a Solutions Architect, Cloud Developer, or SysOps Administrator. Our guide will help you understand the AWS core services and architecture. With about 100 AWS interview questions, this page is perfect for you to prepare for AWS interviews.
From beginner to advanced, these questions cover topics like EC2, S3, Lambda, IAM, and VPC, etc. The answers are given with each question to practice the answers to respond confidently. So, let’s practice these AWS interview questions and sharpen your knowledge.
- A template of the source volume for the instance.
- Launch permissions that determine which AWS accounts can use the AMI to launch instances.
- A mapping of the base design that defines the connections to be made with the instance during its launch.
- PaaS (Platform as a Service)
- IaaS (Infrastructure as a Service)
- SaaS (Software as a Service)
- FaaS (Function as a Service)
- Rapid provisioning of computing resources on a large scale.
- Location independence enables access to resources from anywhere with an internet connection.
- Unlimited storage capacity, eliminating physical device constraints.
- Multi-Tenancy, allowing multiple users to share resources.
- Simplified data backup and disaster recovery.
- Scalability enables businesses to scale resources as needed.
- CloudFront
- IAM (Identity and Access Management)
- Route 53
- Web Application Firewall
- CLC (Cloud Controller)
- Cluster Controller
- SC (Storage Controller)
- NC (Node Controller)
- Walrus
- S3 Intelligent-Tiering
- S3 Standard
- S3 Standard-Infrequent Access (S3 Standard-IA)
- S3 One Zone-Infrequent Access (S3 One Zone-IA)
- S3 Glacier instant retrieval
- S3 Glacier flexible retrieval
- S3 Glacier deep archive
- S3 Outposts
- Better availability: Auto Scaling automatically adjusts the number of instances based on demand, ensuring that the application can handle varying levels of traffic without downtime.
- Improved fault tolerance: By distributing traffic across multiple instances, Auto Scaling enhances the fault tolerance of an application. If any instance fails, the workload is automatically shifted to other healthy instances.
- Enhanced cost management: Auto Scaling optimizes resource allocation by automatically scaling the number of instances up or down as required. This helps to reduce unnecessary expenses by aligning resources with demand.