Amazon Web Services DOP-C01 Dumps

Create an Amazon ECS cluster with the container instances in an Auto Scaling group. Configure the ECS service to use Service Auto Scaling. Set up Amazon CloudWatch alarms to scale the ECS service and cluster.

Deploy containers on an AWS Elastic Beanstalk Multicontainer Docker environment. Configure Elastic Beanstalk to automatically scale the environment based on Amazon CloudWatch metrics.

Create an Amazon ECS cluster using Spot instances. Configure the ECS service to use Service Auto Scaling. Set up Amazon CloudWatch alarms to scale the ECS service and cluster.

Deploy containers on Amazon EC2 instances. Deploy a container scheduler to schedule containers onto EC2 instances. Configure EC2 Auto Scaling for EC2 instances based on available Amazon CloudWatch metrics.

Add a post-build command to remove the temporary files from the container before termination to ensure they cannot be seen by other CodeBuild users.

Update the CodeBuild project role with the necessary permissions and then remove the AWS credentials from the environment variable.

Store the DB_PASSWORD as a SecureString value in AWS Systems Manager Parameter Store and then remove the DB_PASSWORD from the environment variables.

Move the environment variables to the "˜db-deploy-bucket' Amazon S3 bucket, add a prebuild stage to download, then export the variables.

Use AWS Systems Manager run command versus scp and ssh commands directly to the instance.

Scramble the environment variables using XOR followed by Base64, add a section to install, and then run XOR and Base64 to the build phase.

After pushing the new image, restart ECS Agent, and then start the tasks.

Use "latest" for the Docker image tag in the task definition.

Update the digest on the task definition when pushing the new image.

Use Amazon ECR for a Docker container registry.

Decrease the consecutive number of collection periods

Increase the minimum number of instances in the Auto Scaling group

Decrease the collection period to ten minutes

Decrease the threshold CPU utilization percentage at which to deploy a new instance

Use Amazon Redshift for the product catalog and Amazon DynamoDB tables for the customer information and purchases.

Use Amazon DynamoDB global tables for the product catalog and regional tables for the customer information and purchases

Use Aurora with read replicas for the product catalog and additional local Aurora instances in each region for the customer information and purchases.

Use Aurora for the product catalog and Amazon DynamoDB global tables for the customer information and purchases.

Create Amazon CloudWatch Events rules for CodeDeploy operations. Configure a CloudWatch Events rule to send out an Amazon SNS message when the deployment fails. Configure CodeDeploy to automatically roll back when the deployment fails.

Use available Amazon CloudWatch metrics for CodeDeploy to create CloudWatch alarms. Configure CloudWatch alarms to send out an Amazon SNS message when the deployment fails. Use AWS CLI to redeploy a previously deployed revision.

Configure a CodeDeploy agent to create a trigger that will send notification to Amazon SNS topics when the deployment fails. Configure CodeDeploy to automatically roll back when the deployment fails.

Use AWS CloudTrail to monitor API calls made by or on behalf of CodeDeploy in the AWS account. Send an Amazon SNS message when deployment fails. Use AWS CLI to redeploy a previously deployed revision.

Create an Amazon Aurora cluster in one Availability Zone across multiple Regions as the data store Use Aurora's automatic recovery capabilities in the event of a discluster.

Create an Amazon Aurora global database m two Regions as the data store In the event of a failure, promote the secondary Region as the master for the application

Create an Amazon Aurora multi-master cluster across multiple Regions as the data store Use an Network Load Balancer to balance the database traffic in different Regions.

Set up the application in two Regions and use Amazon Route 53 failover-based routing that points to the Application Load Balancers in both Regions Use health checks to determine the availability in a given Region. Use Auto Scaling groups in each Region to adjust capacity based on demand

Set up the application m two Regions and use a multi-Region Auto Scaling group behind Application Load Balancers to manage the capacity based on demand in the event of a disaster, adjust the Auto Scaling group's desired instance count to increase baseline capacity in the failover Region.

Create primary and secondary Amazon S3 buckets in two separate Availability Zones that are at least 500 miles apart. Use a bucket policy to enforce access to the buckets only through HTTPS. Use a bucket policy to enforce Amazon S3 SSE-C on all objects uploaded to the bucket. Configure cross-region replication between the two buckets.

Create primary and secondary Amazon S3 buckets in two separate AWS Regions that are at least 500 miles apart. Use a bucket policy to enforce access to the buckets only through HTTPS. Use a bucket policy to enforce S3-Managed Keys (SSE-S3) on all objects uploaded to the bucket. Configure cross-region replication between the two buckets.

Create primary and secondary Amazon S3 buckets in two separate AWS Regions that are at least 500 miles apart. Use an IAM role to enforce access to the buckets only through HTTPS. Use a bucket policy to enforce Amazon S3-Managed Keys (SSE-S3) on all objects uploaded to the bucket. Configure cross- region replication between the two buckets.

Create primary and secondary Amazon S3 buckets in two separate Availability Zones that are at least 500 miles apart. Use a bucket policy to enforce access to the buckets only through HTTPS. Use a bucket policy to enforce AWS KMS encryption on all objects uploaded to the bucket. Configure cross-region replication between the two buckets. Create a KMS Customer Master Key (CMK) in the primary region for encrypting objects.

Download and integrate the latest ISO of CentOS 7 and execute the application deployment on the resulting server.

Launch an Amazon Linux AMI using an AWS OpsWorks deployment agent onto the on-premises infrastructure, then execute the application deployment.

Build an EC2 instance with the latest Amazon Linux operating system, and use the AWS Import/Export service to export the EC2 image to a VMware ISO in Amazon S3. Then import the resulting ISO onto the on-premises system.

Download and integrate the latest ISO of Amazon Linux 2 and execute the application deployment on the resulting server. Confirm that operating system testing results are consistent with EC2 operating system behavior.

Create a fleet of Amazon EC2 instances running HAProxy behind an Application Load Balancer. The HAProxy instances will proxy the requests to one of the existing Auto Scaling groups. After a deployment the HAProxy instances are updated to send requests to the newly deployed Auto Scaling group.

Reduce the application to one Application Load Balancer. Create two target groups named Blue and Green. Create a rule on the Application Load Balancer pointed to a single target group. Add logic to the deployment to update the Application Load Balancer rule to the target group of the newly deployed Auto Scaling group.

Move the application to an AWS Elastic Beanstalk application with two environments. Perform new deployments on the non-live environment. After a deployment, perform an Elastic Beanstalk CNAME swap to make the newly deployed environment the live environment.

Create an Amazon CloudFront distribution. Set the two existing Application Load Balancers as origins on the distribution. After a deployment, update the CloudFront distribution behavior to send requests to the newly deployed Auto Scaling group.

Establish an organizational unit (OU) with group policies in the master account to restrict Regions and authorized services. Use AWS Cloud Formation StackSets to provision roles with permissions for each job function, including an IAM trust policy for IAM identity provider authentication in each account.

Establish a permission boundary in the master account to restrict Regions and authorized services. Use AWS CloudFormation StackSet to provision roles with permissions for each job function, including an IAM trust policy for IAM identity provider authentication in each account.

Establish a service control policy in the master account to restrict Regions and authorized services. Use AWS Resource Access Manager to share master account roles with permissions for each job function, including AWS SSO for authentication in each account.

Establish a service control policy in the master account to restrict Regions and authorized services. Use CloudFormation StackSet to provision roles with permissions for each job function, including an IAM trust policy for IAM identity provider authentication in each account.

Use AWS Elastic Beanstalk with a PHP platform configuration to deploy application packages to the instances. Store database credentials on AWS Systems Manager Parameter Store using the Secure String data type. Define an IAM role for Amazon EC2 allowing access, and decrypt only the database credentials. Associate this role to all the instances.

Use AWS CodeDeploy to deploy application packages to the instances. Store database credentials on AWS Systems Manager Parameter Store using the Secure String data type. Define an IAM policy for allowing access, and decrypt only the database credentials. Attach the IAM policy to the role associated to the instance profile for CodeDeploy-managed instances, and to the role used for on-premises instances registration on CodeDeploy.

Use AWS CodeDeploy to deploy application packages to the instances. Store database credentials on AWS Systems Manager Parameter Store using the Secure String data type. Define an IAM role with an attached policy that allows decryption of the database credentials. Associate this role to all the instances and on-premises servers.

Use AWS CodeDeploy to deploy application packages to the instances. Store database credentials in the AppSpec file. Define an IAM policy for allowing access to only the database credentials. Attach the IAM policy to the role associated to the instance profile for CodeDeploy-managed instances and the role used for on-premises instances registration on CodeDeploy

Configure an Amazon CloudWatch Events Event Bus on an AWS CloudTrail API for triggering the AWS Lambda function that detects and reverts the change.

Configure an AWS Config rule to detect the configuration change and execute an AWS Lambda function to revert the change.

Schedule an AWS Lambda function that will scan the IAM policy attached to the federated access role for detecting and reverting any changes.

Restrict administrators in the on-premises Active Directory from changing the IAM policies

Configure AWS KMS to publish to an Amazon SNS topic when keys are more than 90 days old.

Configure an Amazon CloudWatch Events event to launch an AWS Lambda function to call the AWS Trusted Advisor API and publish to an Amazon SNS topic

Develop an AWS Config custom rule that publishes to an Amazon SNS topic when keys are more than 90 days old

Configure AWS Security Hub to publish to an Amazon SNS topic when keys are more than 90 days old.

Deploy the application using AWS Elastic Beanstalk. Configure the environment type for Elastic Load Balancing and Auto Scaling. Create an Amazon RDS MySQL instance inside the Elastic Beanstalk stack. Configure the Elastic Beanstalk log options to stream logs to Amazon CloudWatch Logs. Set retention to 90 days.

Deploy the application on Amazon EC2. Configure Elastic Load Balancing and Auto Scaling. Use an Amazon RDS MySQL instance for the database tier. Configure the application to store log files in Amazon S3. Use Amazon EMR to search and filter the data. Set an Amazon S3 lifecycle rule to expire objects after 90 days.

Deploy the application using AWS Elastic Beanstalk. Configure the environment type for Elastic Load Balancing and Auto Scaling. Create the Amazon RDS MySQL instance outside the Elastic Beanstalk stack. Configure the Elastic Beanstalk log options to stream logs to Amazon CloudWatch Logs. Set retention to 90 days.

Deploy the application on Amazon EC2. Configure Elastic Load Balancing and Auto Scaling. Use an Amazon RDS MySQL instance for the database tier. Configure the application to load streaming log data using Amazon Kinesis Data Firehouse into Amazon ES. Delete and create a new Amazon ES domain every 90 days.

Configure DynamoDB streams to copy data between Regions, deploy the web stack in both Regions, and configure Amazon Route 53 to use a geoproximity routing policy with health checks.

Convert the DynamoDB table to a global table, deploy the web stack in both Regions, and configure Amazon Route 53 to use a geoproximity routing policy with health checks.

Define DynamoDB cross-region backups to copy data to the secondary Region, deploy the web stack in both Regions, and configure Amazon Route 53 to use a latency-based routing policy with health checks.

Use DynamoDB Accelerator to copy data to the secondary Region, deploy the web stack in both Regions, and configure Amazon Route 53 to use a failover routing policy.

Using the UserData section of an AWS CloudFormation template, install tcpdump on every provisioned Amazon EC2 instance. The output of the tool is sent to Amazon EFS for aggregation and querying. In addition, scheduling an Amazon CloudWatch Events rule calls an AWS Lambda function to check whether tcpdump is up and running and sends an email to the security organization when there is an exception.

Create a flow log for the production VPC and assign an Amazon S3 bucket as a destination for delivery. Using Amazon S3 Event Notification, set up an AWS Lambda function that is triggered when a new log file gets delivered. This Lambda function updates an entry in Amazon DynamoDB, which is periodically checked by scheduling an Amazon CloudWatch Events rule to notify security when logs have not arrived.

Create a flow log for the production VPC. Create a new rule using AWS Config that is triggered by configuration changes of resources of type "˜EC2:VPC'. As part of configuring the rule, create an AWS Lambda function that looks up flow logs for a given VPC. If the VPC flow logs are not configured, return a "˜NON_COMPLIANT' status and notify the security organization.

Configure a new trail using AWS CloudTrail service. Using the UserData section of an AWS CloudFormation template, install tcpdump on every provisioned Amazon EC2 instance. Connect Amazon Athena to the CloudTrail and write an AWS Lambda function that monitors for a flow log disable event. Once the CloudTrail entry has been spotted, alert the security organization

Allow inbound access to TCP port 22 in all associated EC2 security groups from the VPC CIDR range.

Attach an IAM policy with the necessary Systems Manager permissions to the existing IAM instance profile.

Create a VPC endpoint for Systems Manager in the desired Region.

Deploy a new EC2 instance that will act as a bastion host to the rest of the EC2 instance fleet.

Remove any default routes in the associated route tables.

Attach an Organizations SCP with an explicit deny for all iam:CreateAccessKey actions with a condition that excludes StringNotEquals for aws:username with a value of the exception list.

Attach an Organizations SCP with an explicit deny for all iam:CreateUser actions with a condition that includes StringEquals for aws:username with a value of the exception list.

Create 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 account against an exception list. If the user is not in the exception list, the function will delete the user.

Create 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 in the exception list, the function will delete the user.

Use Amazon CloudWatch Events to monitor for Auto Scaling event notifications of new instances and configure CloudWatch Events to trigger an Amazon Inspector scan.

Use Amazon CloudWatch Events to monitor for AWS CodeDeploy notifications of a successful code deployment and configure CloudWatch Events to trigger an Amazon Inspector scan.

Use Amazon CloudWatch Events to monitor for CodePipeline notifications of a successful code deployment and configure CloudWatch Events to trigger an AWS X-Ray scan.

Use Amazon Inspector as a CodePipeline task after the successful use of CodeDeploy to deploy the code to the systems.

Create one repository in AWS CodeCommit. Create a development branch to hold merged changes. Use AWS CodeBuild to build and test the code stored in the development branch triggered on a new commit. Merge to the master and deploy to production by using AWS CodeDeploy for a blue/green deployment.

Create one repository for each Developer in AWS CodeCommit and another repository to hold the production code. Use AWS CodeBuild to merge development and production repositories, and deploy to production by using AWS CodeDeploy for a blue/green deployment.

Create one repository for development code in AWS CodeCommit and another repository to hold the production code. Use AWS CodeBuild to merge development and production repositories, and deploy to production by using AWS CodeDeploy for a blue/green deployment.

Create a shared Amazon S3 bucket for the Development team to store their code. Set up an Amazon CloudWatch Events rule to trigger an AWS Lambda function that deploys the code to production by using AWS CodeDeploy for a blue/green deployment.

Write a shell script to run as a cron job on EC2 instances to collect and push the data to Amazon S3. For on-premises resources, use VMware vSphere to collect the data and write it into a file gateway for storing the data in S3. Finally, use Amazon Athena on the S3 bucket for analytics.

Use a script on the on-premises virtual machines as well as the EC2 instances to gather and push the data into Amazon S3, and then use Amazon Athena for analytics.

Install AWS Systems Manager agents on both the on-premises virtual machines and the EC2 instances. Enable inventory collection and configure resource data sync to an Amazon S3 bucket to analyze the data with Amazon Athena.

Use AWS Application Discovery Service for deploying Agentless Discovery Connector in the VMware environment and Discovery Agents on the EC2 instances for collecting the data. Then use the AWS Migration Hub Dashboard for analytics.

Install the CloudWatch agent server side and configure the agent to upload relevant logs to CloudWatch.

Enable AWS X-Ray tracing in API Gateway, modify the application to capture request segments, and upload those segments to X-Ray during each request.

Enable AWS X-Ray tracing in API Gateway, modify the application to capture request segments, and use the X-Ray daemon to upload segments to X-Ray.

Modify the on-premises application to send log information back to API Gateway with each request.

Modify the on-premises application to calculate and upload statistical data relevant to the API service requests to CloudWatch metrics.

Use the Amazon CloudWatch agent to send logs from the EC2 instances to Amazon CloudWatch Logs. Configure AWS CloudTrail to deliver the API logs to Amazon S3. Use CloudWatch to query both sets of logs.

Use the Amazon CloudWatch agent to send logs from the EC2 instances to Amazon CloudWatch Logs. Configure AWS CloudTrail to deliver the API logs to CloudWatch Logs. Use CloudWatch Logs Insights to query both sets of logs.

Use the Amazon CloudWatch agent to send logs from the EC2 instances to Amazon Kinesis. Configure AWS CloudTrail to deliver the API logs to Kinesis. Use Kinesis to load the data into Amazon Redshift. Use Amazon Redshift to query both sets of logs.

Use the Amazon CloudWatch agent to send logs from the EC2 instances to Amazon S3. Use AWS CloudTrail to deliver the API logs to Amazon S3. Use Amazon Athena to query both sets of logs in Amazon S3.

Create an AWS CloudFormation template that defines an AWS Inspector rule to check whether EBS encryption is enabled. Save the template to an Amazon S3 bucket that has been shared with all accounts within the company. Update the account creation script pointing to the CloudFormation template in Amazon S3.

Create an AWS Config organizational rule lo check whether EBS encryption is enabled and deploy the rule using the AWS CLI. Create and apply an SCP lo prohibit slopping and deleting AWS Config across the organization.

Create an SCP in Organizations. Set the policy to prevent the launch of Amazon EC2 instances without encryption on the EBS volumes using a conditional expression Apply the SCP to all AWS accounts. Use Amazon Athena to analyze the AWS CloudTrail output, looking for events that deny an ec2: Run instances action.

Deploy an IAM role to all accounts from a single trusted account. Build a pipeline with AWS CodePipeline with a stage m AWS Lambda to assume (he IAM role, and list all EBS volumes in the account Publish a report to Amazon S3.

Create API Gateway alpha, beta, and production stages. Create a CodeCommit trigger to deploy code to the different stages using an AWS Lambda function.

Create API Gateway alpha, beta, and production stages. Create an AWS CodePipeline that pulls code from the CodeCommit repository. Create CodePipeline actions to deploy code to the API Gateway stages.

Create Jenkins servers for the alpha, beta, and production stages on Amazon EC2 instances. Create multiple CodeCommit triggers to deploy code to different stages using an AWS Lambda function.

Create an AWS CodePipeline pipeline that pulls code from the CodeCommit repository. Create alpha, beta, and production stages with Jenkins servers on CodePipeline.

In the CloudFormation template, add an AWS Config rule. Place the configuration file content in the rule's InputParameters property, and set the Scope property to the EC2 Auto Scaling group. Add an AWS Systems Manager Resource Data Sync resource to the template to poll for updates to the configuration.

In the CloudFormation template, add an EC2 launch template resource. Place the configuration file content in the launch template. Configure the cfn-init script to run when the instance is launched, and configure the cfn-hup script to poll for updates to the configuration.

In the CloudFormation template, add an EC2 launch template resource. Place the configuration file content in the launch template. Add an AWS Systems Manager Resource Data Sync resource to the template to poll for updates to the configuration.

In the CloudFormation template, add CloudFormation init metadata. Place the configuration file content in the metadata. Configure the cfn-init script to run when the instance is launched, and configure the cfn-hup script to poll for updates to the configuration.

Install the Amazon CloudWatch Logs agent on the application server and use CloudWatch Events rules to search logs for access events. Use Amazon CloudSearch as an interface to search for events.

Use the third-party file-input plugin Logstash to monitor the application log file, then use a custom dissect filter on the agent to parse the log entries into the JSON format. Output the events to Amazon ES to be searched. Use the Elasticsearch API for querying the data.

Upload the log files to Amazon S3 by using the S3 sync command. Use Amazon Athena to define the structure of the data as a table, with Athena SQL queries to search for access events.

Install the Amazon Kinesis Agent on the application server, configure it to monitor the log files, and send it to a Kinesis stream. Configure Kinesis to transform the data by using an AWS Lambda function, and forward events to Amazon ES for analysis. Use the Elasticsearch API for querying the data.

Change the deployment configuration to CodeDeployDefault.AIIAtOnce to speed up the deployment process by deploying to all of the instances at the same time.

Create a CodeDeploy trigger for the deployment failure event and make the deployment fail as soon as a single health check failure is detected.

Reduce the HealthChecklntervalSeconds and UnhealthyThresholdCount values within the target group health checks to decrease the amount of time it takes for the application to be considered unhealthy.

Use 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.

Use 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.

Apply constraints to the parameters in the templates, limiting the VPCs available for deployments. Store the templates on Amazon S3. Create an IAM group for beginners and give them access to the templates and CloudFormation. Create a separate group for experts, giving them access to the templates, CloudFormation, and other AWS services.

Store the templates on Amazon S3. Use AWS Service Catalog to create a portfolio of products based on those templates. Apply template constraints to the products with rules limiting VPCs available for deployments. Create an IAM group for beginners giving them access to the portfolio. Create a separate group for experts giving them access to the templates, CloudFormation, and other AWS services.

Store the templates on Amazon S3. Use AWS Service Catalog to create a portfolio of products based on those templates. Create an IAM role restricting VPCs available for creation of AWS resources. Apply a launch constraint to the products using this role. Create an IAM group for beginners giving them access to the portfolio. Create a separate group for experts giving them access to the portfolio and other AWS services.

Create two templates for each architecture blueprint where only one of them limits the VPC available for deployments. Store the templates in Amazon DynamoDB. Create an IAM group for beginners giving them access to the constrained templates and CloudFormation. Create a separate group for experts giving them access to the unconstrained templates, CloudFormation, and other AWS services.

Use AWS CloudForrnation 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

Use 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

Use 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

Use 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.

Use a CloudFormation custom resource to query the status of the CodePipeline to determine which environment is launched. Dynamically alter the launch configuration of the Amazon EC2 instances.

Set up a CodePipeline pipeline for each environment to use input parameters. Use CloudFormation mappings to switch associated UserData for the Amazon EC2 instances to match the environment being launched.

Set up a CodePipeline pipeline that has multiple stages, one for each development environment. Use AWS Lambda functions to trigger CloudFormation deployments to dynamically alter the UserData of the Amazon EC2 instances launched in each environment.

Use CloudFormation input parameters to dynamically alter the LaunchConfiguration and UserData sections of each Amazon EC2 instance every time the CloudFormation stack is updated.

Add a buildspec.yml file to the source code with build instructions.

Configure a GitHub webhook to trigger a build every time a code change is pushed to the repository.

Create an AWS CodeBuild project with GitHub as the source repository.

Create an AWS CodeDeploy application with the Amazon EC2/On-Premises compute platform.

Create an AWS OpsWorks deployment with the install dependencies command.

Provision an Amazon EC2 instance to perform the build.

Update the CloudFormation template to include the UpdatePolicy attribute with the AutoScalingRollingUpdate policy.

Update the CloudFormation template to include the UpdatePolicy attribute with the AutoScalingReplacingUpdate policy.

Use an Auto Scaling lifecycle hook to verify that the previous instance is operational before allowing the DevOps engineer's selected instance to terminate.

Use an Auto Scaling lifecycle hook to confirm there are at least four running instances before allowing the DevOps engineer's selected instance to terminate.

Configure an IAM role for the Developers with access to CodeCommit and an explicit deny for write actions when the reference is the master. Allow Developers to use feature branches and create a pull request when a feature is complete. Allow an approver to use CodeCommit to view the changes and approve the pull requests.

Configure an IAM role for the Developers to use feature branches and create a pull request when a feature is complete. Allow CodeCommit to test all code in the feature branches, and dynamically modify the IAM role to allow merging the feature branches into the master. Allow an approver to use CodeCommit to view the changes and approve the pull requests.

Configure an IAM role for the Developers to use feature branches and create a pull request when a feature is complete. Allow CodeCommit to test all code in the feature branches, and issue a new AWS Security Token Service (STS) token allowing a one-time API call to merge the feature branches into the master. Allow an approver to use CodeCommit to view the changes and approve the pull requests.

Configure an IAM role for the Developers with access to CodeCommit and attach an access policy to the CodeCommit repository that denies the Developers role access when the reference is master. Allow Developers to use feature branches and create a pull request when a feature is complete. Allow an approver to use CodeCommit to view the changes and approve the pull requests.

Add a manual approval action after the last deploy action of the pipeline. Use Amazon SNS to inform the team of the stage being triggered. Next, add a test action using CodeBuild to do the required tests. At the end of the pipeline, add a deploy action to deploy the application to the next stage.

Add a test action after the last deploy action of the pipeline. Configure the action to use CodeBuild to perform the required tests. If these tests are successful, mark the action as successful. Add a manual approval action that uses Amazon SNS to notify the team, and add a deploy action to deploy the application to the next stage.

Create a new pipeline that uses a source action that gets the code from the same repository as the first pipeline. Add a deploy action to deploy the code to a test environment. Use a test action using AWS Lambda to test the deployment. Add a manual approval action by using Amazon SNS to notify the team, and add a deploy action to deploy the application to the next stage.

Add a test action after the last deployment action. Use a Jenkins server on Amazon EC2 to do the required tests and mark the action as successful if the tests pass. Create a manual approval action that uses Amazon SQS to notify the team and add a deploy action to deploy the application to the next stage.

Create an AWS Lambda function that is invoked by an Amazon CloudWatch Events rule when a CreateVpcPeeringConnection API call is made. The Lambda function should check the source of the peering request, accepts the request, and update the route tables for the management VPC to allow traffic to go over the peering connection.

In the CloudFormation template:Invoke a custom resource to generate unique VPC CIDR ranges for the VPC and subnets.Create a peering connection to the management VPC.Update route tables to allow traffic to the management VPC.

In the CloudFormation template:Use the Fn::Cidr function to allocate an unused CIDR range for the VPC and subnets.Create a peering connection to the management VPC.Update route tables to allow traffic to the management VPC.

Modify the CloudFormation template to include a mappings object that includes a list of /16 CIDR ranges for each account where the stack will be deployed.

Use CloudFormation StackSets to deploy the VPC and associated resources to multiple AWS accounts using a custom resource to allocate unique CIDR ranges. Create peering connections from each VPC to the central management VPC and accept those connections in the management VPC.

Increase the instance grace period from 60 seconds to 180 seconds, and the consecutive health check requirement from 2 to 3.

Increase the instance grace period from 60 seconds to 120 seconds, and change the response code requirement from 200 to 204.

Modify 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.

Modify 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.

Attach the AWSCloudFormationFulAccess IAM policy to the CloudFormation role

Automatically heal the stack resources using CloudFormation drift detection.

Issue a ContinueUpdateRolback command from the CloudFormation console or AWS CLI

Manually the resources to match the expectations of the stack.

Update the existing CloudFormation stack using the original template