A company wants to migrate its content sharing web application hosted on Amazon EC2 to a serverless architecture. The company currently deploys changes to its application by creating a new Auto Scaling group of EC2 instances and a new Elastic Load Balancer, and then shifting the traffic away using an Amazon Route
53 weighted routing policy.
For its new serverless application, the company is planning to use Amazon API Gateway and AWS Lambda. The company will need to update its deployment processes to work with the new application. It will also need to retain the ability to test new features on a small number of users before rolling the features out to the entire user base.
Which deployment strategy will meet these requirements?
AUse AWS CDK to deploy API Gateway and Lambda functions. When code needs to be changed, update the AWS CloudFormation stack and deploy the new version of the APIs and Lambda functions. Use a Route 53 failover routing policy for the canary release strategy.
BUse AWS CloudFormation to deploy API Gateway and Lambda functions using Lambda function versions. When code needs to be changed, update the CloudFormation stack with the new Lambda code and update the API versions using a canary release strategy. Promote the new version when testing is complete.
CUse AWS Elastic Beanstalk to deploy API Gateway and Lambda functions. When code needs to be changed, deploy a new version of the API and Lambda functions. Shift traffic gradually using an Elastic Beanstalk blue/green deployment.
DUse AWS OpsWorks to deploy API Gateway in the service layer and Lambda functions in a custom layer. When code needs to be changed, use OpsWorks to perform a blue/green deployment and shift traffic gradually.
An online retail company based in the United States plans to expand its operations to Europe and Asia in the next six months. Its product currently runs on
Amazon EC2 instances behind an Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. All data is stored in an Amazon Aurora database instance.
When the product is deployed in multiple regions, the company wants a single product catalog across all regions, but for compliance purposes, its customer information and purchases must be kept in each region.
How should the company meet these requirements with the LEAST amount of application changes?
AUse Amazon Redshift for the product catalog and Amazon DynamoDB tables for the customer information and purchases.
BUse Amazon DynamoDB global tables for the product catalog and regional tables for the customer information and purchases.
CUse Aurora with read replicas for the product catalog and additional local Aurora instances in each region for the customer information and purchases.
DUse Aurora for the product catalog and Amazon DynamoDB global tables for the customer information and purchases.
A company is developing a web application's infrastructure using AWS CloudFormation. The database engineering team maintains the database resources in a CloudFormation template, and the software development team maintains the web application resources in a separate CloudFormation template. As the scope of the application grows, the software development team needs to use resources maintained by the database engineering team. However, both teams have their own review and lifecycle management processes that they want to keep. Both teams also require resource-level change-set reviews. The software development team would like to deploy changes to this template using their CI/CD pipeline.
Which solution will meet these requirements?
ACreate a stack export from the database CloudFormation template and import those references into the web application CloudFormation template.
BCreate a CloudFormation nested stack to make cross-stack resource references and parameters available in both stacks.
CCreate a CloudFormation stack set to make cross-stack resource references and parameters available in both stacks.
DCreate input parameters in the web application CloudFormation template and pass resource names and IDs from the database stack.
A company uses Amazon S3 to store proprietary information. The development team creates buckets for new projects on a daily basis. The security team wants to ensure that all existing and future buckets have encryption, logging, and versioning enabled. Additionally, no buckets should ever be publicly read or write accessible.
What should a DevOps engineer do to meet these requirements?
AEnable AWS CloudTrail and configure automatic remediation using AWS Lambda.
BEnable AWS Config rules and configure automatic remediation using AWS Systems Manager documents.
CEnable AWS Trusted Advisor and configure automatic remediation using Amazon CloudWatch Events.
DEnable AWS Systems Manager and configure automatic remediation using Systems Manager documents.
A company runs an application on one Amazon EC2 instance. Application metadata is stored in Amazon S3 and must be retrieved if the instance is restarted. The instance must restart or relaunch automatically if the instance becomes unresponsive.
Which solution will meet these requirements?
ACreate an Amazon CloudWatch alarm for the StatusCheckFailed metric. Use the recover action to stop and start the instance. Use an S3 event notification to push the metadata to the instance when the instance is back up and running.
BConfigure AWS OpsWorks, and use the auto healing feature to stop and start the instance. Use a lifecycle event in OpsWorks to pull the metadata from Amazon S3 and update it on the instance.
CUse EC2 Auto Recovery to automatically stop and start the instance in case of a failure. Use an S3 event notification to push the metadata to the instance when the instance is back up and running.
DUse AWS CloudFormation to create an EC2 instance that includes the UserData property for the EC2 resource. Add a command in UserData to retrieve the application metadata from Amazon S3.
A devops team uses AWS CloudFormation to build their infrastructure. The security team is concerned about sensitive parameters, such as passwords, being exposed.
Which combination of steps will enhance the security of AWS CloudFormation? (Choose three.)
ACreate a secure string with AWS KMS and choose a KMS encryption key. Reference the ARN of the secure string, and give AWS CloudFormation permission to the KMS key for decryption.
BCreate secrets using the AWS Secrets Manager AWS::SecretsManager::Secret resource type. Reference the secret resource return attributes in resources that need a password, such as an Amazon RDS database.
CStore sensitive static data as secure strings in the AWS Systems Manager Parameter Store. Use dynamic references in the resources that need access to the data.
DStore sensitive static data in the AWS Systems Manager Parameter Store as strings. Reference the stored value using types of Systems Manager parameters.
EUse AWS KMS to encrypt the CloudFormation template.
FUse the CloudFormation NoEcho parameter property to mask the parameter value.
A company has a mission-critical application on AWS that uses automatic scaling. The company wants the deployment lifecycle to meet the following parameters:
• The application must be deployed one instance at a time to ensure the remaining fleet continues to serve traffic.
• The application is CPU intensive and must be closely monitored.
• The deployment must automatically roll back if the CPU utilization of the deployment instance exceeds 85%.
Which solution will meet these requirements?
AUse AWS CloudFormation to create an AWS Step Functions state machine and Auto Scaling lifecycle hooks to move to one instance at a time into a wait state. Use AWS Systems Manager automation to deploy the update to each instance and move it back into the Auto Scaling group using the heartbeat timeout.
BUse AWS CodeDeploy with Amazon EC2 Auto Scaling. Configure an alarm tied to the CPU utilization metric. Use the CodeDeployDefault.OneAtAtime configuration as a deployment strategy. Configure automatic rollbacks within the deployment group to roll back the deployment if the alarm thresholds are breached.
CUse AWS Elastic Beanstalk for load balancing and AWS Auto Scaling. Configure an alarm tied to the CPU utilization metric. Configure rolling deployments with a fixed batch size of one instance. Enable enhanced health to monitor the status of the deployment and roll back based on the alarm previously created.
DUse AWS Systems Manager to perform a blue/green deployment with Amazon EC2 Auto Scaling. Configure an alarm tied to the CPU utilization metric. Deploy updates one at a time. Configure automatic rollbacks within the Auto Scaling group to roll back the deployment if the alarm thresholds are breached.
A company's legacy application uses IAM user credentials to access resources in the company's AWS Organizations organization. A DevOps engineer must ensure that new IAM users cannot be created unless the employee who creates the IAM user is on an exception list.
Which solution will meet these requirements?
AAttach an Organizations SCP with an explicit deny for all iam:CreateAccessKey actions with a condition that excludes StringEquals for aws:username with a value of the exception list.
BAttach an Organizations SCP with an explicit deny for all iam:CreateUser actions with a condition that includes StringNotLike for aws:username with a value of the exception list.
CCreate an Amazon EventBridge (Amazon CloudWatch Events) rule with a pattern that matches the iam:CreateAccessKey action with an AWS Lambda function target. The function will check the user name and account against an exception list. If the user is not on the exception list, the function will delete the user.
DCreate an Amazon EventBridge (Amazon CloudWatch Events) rule with a pattern that matches the iam:CreateUser action with an AWS Lambda function target. The function will check the user name and account against an exception list. If the user is not on the exception list, the function will delete the user.
A company must collect user consent to a privacy agreement. The company deploys an application in six AWS Regions: two Regions in North America, two Regions in Europe, and two Regions in Asia. The application has a user base of 20 million to 30 million users.
The company needs to read and write data that is related to each user's response. The company also must ensure that the responses are available in all six Regions.
Which solution will meet these requirements with the LOWEST latency of reads and writes?
AImplement Amazon DocumentDB (with MongoDB compatibility) in each of the six Regions.
BImplement Amazon DynamoDB global tables in each of the six Regions.
CImplement Amazon ElastiCache for Redis replication groups in each of the six Regions.
DImplement Amazon Elasticsearch Service (Amazon ES) in each of the six Regions.
A company is testing a web application that runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. The company uses a blue/green deployment process with immutable instances when deploying new software.
During testing, users are being automatically logged out of the application at random times. Testers also report that, when a new version of the application is deployed, all users are logged out. The development team needs a solution to ensure users remain logged in across scaling events and application deployments.
What is the MOST efficient way to ensure users remain logged in?
AEnable smart sessions on the load balancer and modify the application to check for an existing session.
BEnable session sharing on the load balancer and modify the application to read from the session store.
CStore user session information in an Amazon S3 bucket and modify the application to read session information from the bucket.
DModify the application to store user session information in an Amazon ElastiCache cluster.
A DevOps engineer is troubleshooting deployments to a new application that runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an EC2 Auto Scaling group across multiple Availability Zones. Instances sometimes come online before they are ready, which is leading to increased error rates among users. The current health check configuration gives instances a 60-second grace period and considers instances healthy after two 200 response codes from /index.php, a page that may respond intermittently during the deployment process. The development team wants instances to come online as soon as possible.
Which strategy would address this issue?
AIncrease the instance grace period from 60 seconds to 180 seconds, and the consecutive health check requirement from 2 to 3.
BIncrease the instance grace period from 60 seconds to 120 seconds, and change the response code requirement from 200 to 204.
CModify the deployment script to create a /health-check.php file when the deployment begins, then modify the health check path to point to that file.
DModify the deployment script to create a /health-check.php file when all tasks are complete, then modify the health check path to point to that file.
A company has a single-page application that was developed in Angular. A DevOps engineer needs to automate deployments of the application to a website that the company hosts on Amazon S3. The solution must provide version control of the source code and must give developers the ability to perform peer review.
Which combination of steps will meet these requirements? (Choose three.)
ACreate an AWS CodeCommit repository to store the source code. Create an AWS CodePipeline pipeline that has a source of the CodeCommit repository.
BCreate an S3 bucket to act as the source for developers to upload their source code. Create an AWS CodePipeline pipeline that has the S3 bucket as the source.
CIn the CodePipeline pipeline, configure an AWS CodeBuild phase that compiles the source code and produces build artifacts.
DIn the CodePipeline pipeline, configure an AWS CodeDeploy phase that compiles the source code, produces build artifacts, and then deploys the website.
EIn the CodePipeline pipeline, configure an AWS AppConfig deploy action that deploys the build artifacts to the S3 website bucket.
FIn the CodePipeline pipeline, configure an S3 deploy action that deploys the build artifacts to the S3 website bucket.
A company wants to ensure that their EC2 instances are secure. They want to be notified if any new vulnerabilities are discovered on their instances, and they also want an audit trail of all login activities on the instances.
Which solution will meet these requirements?
AUse AWS Systems Manager to detect vulnerabilities on the EC2 instances. Install the Amazon Kinesis Agent to capture system logs and deliver them to Amazon S3.
BUse AWS Systems Manager to detect vulnerabilities on the EC2 instances. Install the Systems Manager Agent to capture system logs and view login activity in the CloudTrail console.
CConfigure Amazon CloudWatch to detect vulnerabilities on the EC2 instances. Install the AWS Config daemon to capture system logs and view them in the AWS Config console.
DConfigure Amazon Inspector to detect vulnerabilities on the EC2 instances. Install the Amazon CloudWatch Agent to capture system logs and record them via Amazon CloudWatch Logs.
A DevOps engineer is creating a CI/CD pipeline for an Amazon ECS service. The ECS container instances run behind an Application Load Balancer as the web tier of a three-tier application. An acceptance criterion for a successful deployment is the verification that the web tier can communicate with the database and middleware tiers of the application upon deployment.
How can this be accomplished in an automated fashion?
ACreate a health check endpoint in the web application that tests connectivity to the data and middleware tiers. Use this endpoint as the health check URL for the load balancer.
BCreate an approval step for the quality assurance team to validate connectivity. Reject changes in the pipeline if there is an issue with connecting to the dependent tiers.
CUse an Amazon RDS active connection count and an Amazon CloudWatch ELB metric to alarm on a significant change to the number of open connections.
DUse Amazon Route 53 health checks to detect issues with the web service and roll back the Cl/CD pipeline if there is an error.
A development team manages website deployments using AWS CodeDeploy blue/green deployments. The application is running on Amazon EC2 instances behind an Application Load Balancer in an Auto Scaling group.
When deploying a new revision, the team notices the deployment eventually fails, but it takes a long time to fail. After further inspection, the team discovers the AllowTraffic lifecycle event ran for an hour and eventually failed without providing any other information. The team wants to ensure failure notices are delivered more quickly while maintaining application availability even upon failure.
Which combination of actions should be taken to meet these requirements? (Choose two.)
AChange the deployment configuration to CodeDeployDefault.AllAtOnce to speed up the deployment process by deploying to all of the instances at the same time.
BCreate a CodeDeploy trigger for the deployment failure event and make the deployment fail as soon as a single health check failure is detected.
CReduce the HealthCheckIntervalSeconds and UnhealthyThresholdCount values within the target group health checks to decrease the amount of time it takes for the application to be considered unhealthy.
DUse the appspec.yml file to run a script on the AllowTraffic hook to perform lighter health checks on the application instead of making CodeDeploy wait for the target group health checks to pass.
EUse the appspec.yml file to run a script on the BeforeAllowTraffic hook to perform health checks on the application and fail the deployment if the health checks performed by the script are not successful.
A development team manually builds an artifact locally and then places it in an Amazon S3 bucket. The application has a local cache that must be cleared when a deployment occurs. The team executes a command to do this, downloads the artifact from Amazon S3, and unzips the artifact to complete the deployment.
A DevOps team wants to migrate to a CI/CD process and build in checks to stop and roll back the deployment when a failure occurs. This requires the team to track the progression of the deployment.
Which combination of actions will accomplish this? (Choose three.)
AAllow developers to check the code into a code repository. Using Amazon CloudWatch Events, on every pull into master, trigger an AWS Lambda function to build the artifact and store it in Amazon S3.
BCreate a custom script to clear the cache. Specify the script in the Beforelnstall lifecycle hook in the AppSpec file.
CCreate user data for each Amazon EC2 instance that contains the clear cache script. Once deployed, test the application. If it is not successful, deploy it again.
DSet up AWS CodePipeline to deploy the application. Allow developers to check the code into a code repository as a source for the pipeline.
EUse AWS CodeBuild to build the artifact and place it in Amazon S3. Use AWS CodeDeploy to deploy the artifact to Amazon EC2 instances.
FUse AWS Systems Manager to fetch the artifact from Amazon S3 and deploy it to all the instances.
A company is implementing a well-architected design for its globally accessible API stack. The design needs to ensure both high reliability and fast response times for users located in North America and Europe.
The API stack contains the following three tiers:
• Amazon API Gateway
• AWS Lambda
• Amazon DynamoDB
Which solution will meet the requirements?
AConfigure Amazon Route 53 to point to API Gateway APIs in North America and Europe using health checks. Configure the APIs to forward requests to a Lambda function in that Region. Configure the Lambda functions to retrieve and update the data in a DynamoDB table in the same Region as the Lambda function.
BConfigure Amazon Route 53 to point to API Gateway APIs in North America and Europe using latency-based routing and health checks. Configure the APIs to forward requests to a Lambda function in that Region. Configure the Lambda functions to retrieve and update the data in a DynamoDB global table.
CConfigure Amazon Route 53 to point to API Gateway in North America, create a disaster recovery API in Europe, and configure both APIs to forward requests to the Lambda functions in that Region. Retrieve the data from a DynamoDB global table. Deploy a Lambda function to check the North America API health every 5 minutes. In the event of a failure, update Route 53 to point to the disaster recovery API.
DConfigure Amazon Route 53 to point to API Gateway API in North America using latency-based routing. Configure the API to forward requests to the Lambda function in the Region nearest to the user. Configure the Lambda function to retrieve and updathe data in a DynamoDB table.
A company manages an application that stores logs in Amazon CloudWatch Logs. The company wants to archive the logs in Amazon S3. Logs are rarely accessed after 90 days and must be retained for 10 years.
Which combination of steps should a DevOps engineer take to meet these requirements? (Choose two.)
AConfigure a CloudWatch Logs subscription filter to use AWS Glue to transfer all logs to an S3 bucket.
BConfigure a CloudWatch Logs subscription filter to use Amazon Kinesis Data Firehose to stream all logs to an S3 bucket.
CConfigure a CloudWatch Logs subscription filter to stream all logs to an S3 bucket.
DConfigure the S3 bucket lifecycle policy to transition logs to S3 Glacier after 90 days and to expire logs after 3,650 days.
EConfigure the S3 bucket lifecycle policy to transition logs to Reduced Redundancy after 90 days and to expire logs after 3,650 days.
A DevOps engineer is building a continuous deployment pipeline for a serverless application that uses AWS Lambda functions. The company wants to reduce the customer impact of an unsuccessful deployment. The company also wants to monitor for issues.
Which deploy stage configuration will meet these requirements?
AUse an AWS Serverless Application Model (AWS SAM) template to define the serverless application. Use AWS CodeDeploy to deploy the Lambda functions with the Canary10Percent15Minutes Deployment Preference Type. Use Amazon CloudWatch alarms to monitor the health of the functions.
BUse AWS CloudFormation to publish a new stack update, and include Amazon CloudWatch alarms on all resources. Set up an AWS CodePipeline approval action for a developer to verify and approve the AWS CloudFormation change set.
CUse AWS CloudFormation to publish a new version on every stack update, and include Amazon CloudWatch alarms on all resources. Use the RoutingConfig property of the AWS:: Lambda:: Alias resource to update the traffic routing during the stack update.
DUse AWS CodeBuild to add sample event payloads for testing to the Lambda functions. Publish a new version of the functions, and include Amazon CloudWatch alarms. Update the production alias to point to the new version. Configure rollbacks to occur when an alarm is in the ALARM state.
A large enterprise is deploying a web application on AWS. The application runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. The application stores data in an Amazon RDS Oracle DB instance and Amazon DynamoDB. There are separate environments for development, testing, and production.
What is the MOST secure and flexible way to obtain password credentials during deployment?
ARetrieve an access key from an AWS Systems Manager SecureString parameter to access AWS services. Retrieve the database credentials from a Systems Manager SecureString parameter.
BLaunch the EC2 instances with an EC2 IAM role to access AWS services. Retrieve the database credentials from AWS Secrets Manager.
CRetrieve an access key from an AWS Systems Manager plaintext parameter to access AWS services. Retrieve the database credentials from a Systems Manager SecureString parameter.
DLaunch the EC2 instances with an EC2 IAM role to access AWS services. Store the database passwords in an encrypted config file with the application artifacts.
A company wants to use a grid system for proprietary enterprise in-memory data store on top of AWS. The system can run in multiple server nodes in any Linux-based distribution. The system must be able to reconfigure the entire cluster every time a node is added or removed. When adding or removing nodes, an /etc/cluster/nodes.config file must be updated listing the IP addresses of the current node member of that cluster.
The company wants to automate the task of adding new nodes to a cluster.
What can a DevOps engineer do to meet these requirements?
AUse AWS OpsWorks Stacks to layer the server nodes of that cluster. Create a Chief recipe that populates the content of the /etc/cluster/nodes.config file and restarts the service by using the current members of the layers. Assign that recipe to the Configure lifecycle event.
BPut the file nodes.config in version control. Create an AWS CodeDeploy deployment configuration and deployment group based on an Amazon EC2 tag value for the cluster nodes. When adding a new node to the cluster, update the file with all tagged instances, and make a commit in version control. Deploy the new file and restart the services.
CCreate an Amazon S3 bucket and upload a version of the /etc/cluster/nodes.config file. Create a crontab script that will poll for that S3 file and download it frequently. Use a process manager, such as Monit or systemd, to restart the cluster services when it detects that the new file was modified. When adding a node to the cluster, edit the file’s most recent members. Upload the new file to the S3 bucket.
DCreate a user data script that lists all members of the current security group of the cluster and automatically updates the /etc/cluster/nodes.config file whenever a new instance is added to the cluster.
A DevOps engineer is researching the least expensive way to implement an image batch processing cluster on AWS. The application cannot run in Docker containers and must run on Amazon EC2. The batch job stores checkpoint data on an NFS and can tolerate interruptions. Configuring the cluster software from a generic EC2 Linux image takes 30 minutes.
What is the MOST cost-effective solution?
AUse Amazon EFS for checkpoint data. To complete the job, use an EC2 Auto Scaling group and an On-Demand pricing model to provision EC2 instances temporarily.
BUse GlusterFS on EC2 instances for checkpoint data. To run the batch job, configure EC2 instances manually. When the job completes, shut down the instances manually.
CUse Amazon EFS for checkpoint data. Use EC2 Fleet to launch EC2 Spot Instances, and utilize user data to configure the EC2 Linux instance on startup.
DUse Amazon EFS for checkpoint data. Use EC2 Fleet to launch EC2 Spot Instances. Create a custom AMI for the cluster and use the latest AMI when creating instances.
A mobile application running on eight Amazon EC2 instances is relying on a third-party API endpoint. The third-party service has a high failure rate because of limited capacity which is expected to be resolved in a few weeks.
In the meantime, the mobile application developers have added a retry mechanism and are logging failed API requests. A DevOps engineer must automate the monitoring of application logs and count the specific error messages, if there are more than 10 errors within a 1-minute window the system must issue an alert.
How can the requirements be met with MINIMAL management overhead?
AInstall the Amazon CloudWatch agent on all instances to push the application logs to CloudWatch Logs. Use metric filters to count the error messages every minute, and initiate a CloudWatch alarm if the count exceeds 10 errors.
BInstall the Amazon CloudWatch agent on all instances to push the access logs to CloudWatch Logs. Create an Amazon EventBridge (Amazon CloudWatch Events) rule to count the error messages every minute, and initiate a CloudWatch alarm if the count exceeds 10 errors.
CInstall the Amazon CloudWatch agent on all instances to push the application logs to CloudWatch Logs. Use a metric filter to generate a custom CloudWatch metric that records the number of failures and initiates a CloudWatch alarm if the custom metric reaches 10 errors in a 1-minute period.
DDeploy a custom script on all instances to check application logs regularly in a cron job. Count the number of error messages every minute, and push a data point to a custom CloudWatch metric. Initiate a CloudWatch alarm if the custom metric reaches 10 errors in a 1-minute period.
A DevOps Engineer needs to back up sensitive Amazon S3 objects that are stored within an S3 bucket with a private bucket policy using the S3 cross-region replication functionality. The objects need to be copied to a target bucket in a different AWS Region and account.
Which actions should be performed to enable this replication? (Choose three.)
ACreate a replication IAM role in the source account.
BCreate a replication IAM role in the target account.
CAdd statements to the source bucket policy allowing the replication IAM role to replicate objects.
DAdd statements to the target bucket policy allowing the replication IAM role to replicate objects.
ECreate a replication rule in the source bucket to enable the replication.
FCreate a replication rule in the target bucket to enable the replication.
A company has 20 service teams. Each service team is responsible for its own microservice. Each service team uses a separate AWS account for its microservice and a VPC with the 192.168.0.0/22 CIDR block. The company manages the AWS accounts with AWS Organizations.
Each service team hosts its microservice on multiple Amazon EC2 instances behind an Application Load Balancer. The microservices communicate with each other across the public Internet. The company's security team has issued a new guideline that all communication between microservices must use HTTPS over private network connections and cannot traverse the public Internet.
A DevOps engineer must implement a solution that fulfills these obligations and minimizes the number of changes for each service team.
Which solution will meet these requirements?
ACreate a new AWS account in AWS Organizations. Create a VPC in this account and use AWS Resource Access Manager to share the private subnets of this VPC with the organization. Instruct the service teams to launch a new Network Load Balancer (NLB) and EC2 instances that use the shared private subnets. Use the NLB DNS names for communication between microservices.
BCreate a Network Load Balancer (NLB) in each of the microservice VPCs. Use AWS PrivateLink to create VPC endpoints in each AWS account for the NLBs. Create subscriptions to each VPC endpoint in each of the other AWS accounts. Use the VPC endpoint DNS names for communication between microservices.
CCreate a Network Load Balancer (NLB) in each of the microservice VPCs. Create VPC peering connections between each of the microservice VPCs. Update the route tables for each VPC to use the peering links. Use the NLB DNS names for communication between microservices.
DCreate a new AWS account in AWS Organizations. Create a transit gateway in this account. and use AWS Resource Access Manager to share the transit gateway with the organization. In each of the microservice VPCs, create a transit gateway attachment to the shared transit gateway. Update the route tables of each VPC to use the transit gateway. Create a Network Load Balancer (NLB) in each of the microservice VPCs. Use the NLB DNS names for communication between microservices.
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