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4.7 Rating 60 Questions 25 mins read20 Readers

There are 2 different options available under a dedicated tenancy for AWS EC2 instances.
While we launch AWS EC2 instances, AWS provides us with different placement group options to ensure EC2 instances are spread across the different physical machines to minimize the failure of the entire applications at one go. Using placement group, we can decide how the instances can be launched based on our security, business or performance requirement on the underlying hardware. AWS placement group provides us with 3 strategies as part of it to plan our workloads accordingly.
This is a frequently asked question in AWS architect interview questions.
Instances are virtual environments provided by EC2, also known as EC2 Instances, that can be used to host applications by cloud users. Following are the types of Instances available in Amazon EC2:
Expect to come across this popular question in AWS solution architect interview questions.
The ideal way to connect from your local data center to your cloud resources is through a VPC. Each of your instances is given a private IP address that may be accessible from your data center after your data center is connected to the VPC where it is located. In this manner, you can use the resources on your public cloud as if they were on your personal network.
This question is a regular feature in AWS Solution Architect technical interview questions, be ready to tackle it.
We must use Amazon CloudFront to serve the application and deny access to those countries for whom we are not targeting to serve. To do that, first, we need to understand how geographic restrictions work in Amazon Cloudfront.
For example, we assume we have the right to distribute our content only in India. Then you update your Amazon CloudFront distribution to add an allow list that contains only India. (Alternatively, we could add a block list that contains every country except India). Now we see a user in Africa requests our content, and DNS routes the request to a CloudFront edge location in Africa. The edge location in Africa looks up your distribution configuration and determines whether the user is not allowed to download your content. If not in allow list CloudFront returns an HTTP status code 403 (Forbidden) to the user.
Amazon CloudFront gives you the flexibility to return a custom error message to the user, and you can configure how long you would like Amazon CloudFront to cache the error response for the requested file. The default value for Amazon CloudFront to cache is 10 seconds. The concept of Geographic restrictions applies to an entire distribution. If you need to configure one restriction to part of your content and a different restriction (or no restriction) to another part of your content, you must make sure that you either create separate Amazon CloudFront distributions or use a third-party geolocation service.
To improve the performance, we can opt for a strategy where we can plan to launch an Amazon Aurora MySQL cluster with multiple read replicas, and multi-AZ enabled and configure an application to use the reader endpoint for reports. You might be aware that Amazon RDS Read Replicas for MySQL and MariaDB are now supporting multi-AZ deployments. If we combine DB Read Replicas with DB Multi-AZ enabled, you can build a resilient disaster recovery strategy and ease your DB engine upgrade process.
To achieve this scenario, we can use Amazon CloudFront with the S3 bucket as its origin. By using AWS S3(Simple Storage Service) Origins, Media Package Channels and Custom Origins for Web Distributions
Using AWS S3 (Simple Storage Service) Buckets for Your Origin. When we configure AWS Amazon S3 as an origin for distribution, we place any number of objects that we want AWS CloudFront to deliver into the Amazon S3 bucket. Different methods can be supported by AWS S3 to get your objects into AWS S3 buckets.
Example: - By using AWS S3 console/API/third-party tool, we can create a hierarchy structure into an S3 bucket to store the objects, just as you would with any other Amazon S3 bucket. Using an existing AWS S3 bucket as your Amazon CloudFront origin server doesn't change the AWS S3 bucket in any way, and you can still use it as you normally would to store and access AWS S3 objects at the standard AWS S3 price.
This is a frequently asked question in AWS Architect interview questions for experienced professionals.
To accomplish this use-case, we have to provision AWS EC2 instances and configure an AWS Application Load Balancer (ALB) in the us-west-1 region. Then we need to create an accelerator in AWS Global Accelerator that would use an endpoint group that includes the AWS load balancer endpoints in both AWS Regions. Then register/configure these endpoints for endpoint groups; you can also register more than one regional resource, such as AWS Application Load Balancers (ALB), Network Load Balancers(NLB), AWS EC2 Instances, or AWS Elastic IP addresses, in each endpoint group. Then you can configure weights to allow traffic routing to each endpoint.
Use AWS Lambda to manipulate the original image to the requested customizations. Store the original and manipulated images in Amazon S3. Configure an Amazon CloudFront distribution with the S3 bucket as the origin.
AWS Lambda supports the following scenario