
Master aws interview preparation with a focus on cloud architecture, scalability, and resilience, including ec2, elastic load balancing, cloudfront, and lambda to boost interview success and salary.
Explore the designed-to-fail principle and build resilient cloud architectures with automated failover, backup databases, and replicas across availability zones, using AMI, Elastic IPs, and CloudWatch for real-time visibility.
Apply the proximity principle by placing data and computation near end users to reduce latency, improve performance, and lower data transfer costs in cloud architectures.
Explore AWS regions and availability zones, detailing their independence, isolation, fast intra-region traffic, fault tolerance, and scalable endpoints for reliable web services.
Explore Amazon S3, the simple storage service that provides unlimited object storage with 99.999% durability, organized into globally unique buckets, and learn how bucket naming, ownership, and limits work.
Explore Amazon S3 as a scalable storage service for large data like images and videos, compare it with EC2, and learn common AWS S3 commands and consistency models.
Explore Amazon S3 storage options, including standard and infrequent access tiers, multi-part upload for files up to five terabytes, and deletion and versioning with eventual and read-after-write consistency.
Learn how Amazon Glacier offers low-cost, long-term archival storage with immutable data, cross-region replication, and lifecycle actions to optimize compliance, latency, and disaster recovery.
Explore how AWS S3 part 5 showcases hybrid cloud storage, backups, disaster recovery, and secure data transfer with gateway and snowball.
Learn the basics of AWS elastic block store, including volumes, snapshots, and encryption, plus pricing for snapshots and their point-in-time nature. Compare SSD and HDD volumes for different workloads.
Explore how Amazon EC2 delivers elastic compute capacity to deploy applications without buying hardware, with on-demand scale and easy resource management. Understand stop versus terminate and why resiliency matters.
Explore key EC2 features, including AMIs, flexible memory and storage configurations, security groups and firewall controls, elastic IPs, regions and availability zones, and placement groups for low latency.
Learn how AWS EC2 spot instances compare to on-demand instances, including bid versus on-demand pricing, supply and demand, and potential terminations, along with common connection and authentication issues.
Compare classic and application load balancers in AWS, detailing health checks, cross-zone distribution, security, and sticky sessions for high availability.
Learn to build resilient AWS architectures using elastic IPs for dynamic public addressing, backup databases, and auto scaling across multiple availability zones based on response time and requests per second.
Explore best practices for automated deployment in AWS, bootstrapping instances, using machine images and configuration management, and monitoring with CloudWatch to enable self-healing, auto scaling, and rapid recovery.
Learn how Amazon Machine Images (AMI) serve as templates to launch multiple EC2 instances in a VPC, enabling scalable deployment, security groups, and Elastic IP addresses.
Leverage AWS deployment to automate code rollout, minimize downtime, and scale on demand. Monitor with CloudWatch dashboards, alarms, and logs, and apply latency-based routing and failover for resilient, location-based traffic.
Explore how message queues enable asynchronous, loosely coupled systems with producers and consumers, ensuring persistence and high availability for scalable distributed orders on AWS.
Explore Amazon Kinesis streams for real-time analytics, processing terabytes from multiple sources, including IoT devices and mobile apps, and integrate with Lambda and messaging services for notifications.
Discover how AWS Lambda enables serverless, event-driven code execution with automatic scaling, no server provisioning, and cost-efficient real-time processing for IoT workloads.
Explore aws lambda part 2, where serverless, event-driven functions run without provisioning and scale with requests via cloudfront edge. Learn how sam and code pipeline enable deploying lambda apps.
CloudFront is a global content delivery network that caches content at edge locations to accelerate web and video delivery, integrating with other AWS services for region-based performance and security.
Explore how AWS CloudFront handles events and caching, including viewer/request and origin triggers, regional edge caches, and performance optimizations, plus streaming benefits like on-demand start, device-free viewing, and cost savings.
Amazon Web Service (AWS) is one of the fastest growing field in technology world. This course is designed to help you achieve your goals in AWS field. Engineers with AWS knowledge may get more salary than others with similar qualifications without AWS knowledge.
In this course, you will learn how to apply AWS technology in Software Design and Development. I will explain you what are the tools in AWS to build a highly scalable, resilient system.
What is the biggest benefit of this course to me?
Finally, the biggest benefit of this course is that you will be able to demand higher salary in your next job interview.
It is good to learn Amazon Web Services (AWS) for theoretical benefits. But if know how to handle interview questions on Amazon Web Services (AWS), you can convert your Amazon Web Services (AWS) knowledge into higher salary.
What are the topics covered in this course?
We cover a wide range of topics in this course. We have questions on Amazon Web Services (AWS) best practices, Security, Simple Storage Service S3, Elastic Compute Cloud EC2, Elastic Load Balancing ELB, CloudFront, DynamoDB, CloudWatch, ElastiCache and Lambda.
How will this course help me?
By attending this course, you do not have to spend time searching the Internet for Amazon Web Services (AWS) interview questions. We have already compiled the list of the most popular and the latest Amazon Web Services (AWS) Interview questions.
Are there answers in this course?
Yes, in this course each question is followed by an answer. So you can save time in interview preparation.
What is the best way of viewing this course?
You have to just watch the course from beginning to end. Once you go through all the videos, try to answer the questions in your own words. Also mark the questions that you could not answer by yourself. Then, in second pass go through only the difficult questions. After going through this course 2-3 times, you will be well prepared to face a technical interview in Amazon Web Services (AWS) architecture.
What is the level of questions in this course?
This course contains questions that are good for a Fresher to an Architect level. The difficulty level of question varies in the course from a Fresher to an Experienced professional.
What happens if Amazon Web Services (AWS) technology changes in future?
From time to time, we keep adding more questions to this course. Our aim is to keep you always updated with the latest interview questions on Amazon Web Services (AWS).
What are the sample questions covered in this course?
Sample questions covered in this course are as follows: