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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? (Select THREE.)
A. Create 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
B. Create 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.
C. Store 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.
D. Store sensitive static data in the AWS Systems Manager Parameter Store as strings. Reference the stored value using types of Systems Manager parameters.
E. Use AWS KMS to encrypt the CloudFormation template.
F. Use the CloudFormation NoEcho parameter property to mask the parameter value.
ANSWER : A,B,D
A company maintains a stateless web application that is experiencing inconsistent traffic.
The company uses AWS CloudFormation to deploy the application. The application runs on
Amazon EC2 On-Demand Instances behind an Application Load Balancer (ALB). The
instances run across multiple Availability Zones.
The company wants to include the use of Spot Instances while continuing to use a small number of On-Demand Instances to ensure that the application remains highly available. What is the MOST cost-effective solution that meets these requirements?
A. Add a Spot block resource to the AWS CloudFormation template. Use the diversified
allocation strategy with step scaling behind the ALB.
B. Add a Spot block resource to the AWS CloudFormation template. Use the lowest-price allocation strategy with target tracking scaling behind the ALB.
C. Add a Spot Fleet resource to the AWS CloudFormation template. Use the capacityoptimized allocation strategy with step scaling behind the ALB.
D. Add a Spot Fleet resource to the AWS CloudFormation template. Use the diversified allocation strategy with scheduled scaling behind the ALB
ANSWER : C
A DevOps Engineer discovered a sudden spike in a website's page load times and found
that a recent deployment occurred. A brief diff of the related commit shows that the URL for
an external API call was altered and the connecting port changed from 80 to 443. The
external API has been verified and works outside the application. The application logs
show that the connection is now timing out, resulting in multiple retries and eventual failure
of the call.
Which debug steps should the Engineer take to determine the root cause of the issue?
A. Check the VPC Flow Logs looking for denies originating from Amazon EC2 instances
that are part of the web Auto Scaling group. Check the ingress security group rules and
routing rules for the VPC.
B. Check the existing egress security group rules and network ACLs for the VPC. Also check the application logs being written to Amazon CloudWatch Logs for debug information.
C. Check the egress security group rules and network ACLs for the VPC. Also check the VPC flow logs looking for accepts originating from the web Auto Scaling group.
D. Check the application logs being written to Amazon CloudWatch Logs for debug information. Check the ingress security group rules and routing rules for the VPC.
ANSWER : C
A company is using AWS Organizations and wants to implement a governance strategy
with the following requirements:
A. 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.
B. 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.
C. 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.
D. 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.
ANSWER : D
A global company with distributed Development teams built a web application using a
microservices architecture running on Amazon ECS. Each application service is
independent and runs as a service in the ECS cluster. The container build files and source
code reside in a private GitHub source code repository.
Separate ECS clusters exist for development, testing, and production environments.
Developers are required to push features to branches in the GitHub repository and then merge the changes into an environment-specific branch (development, test, or production). This merge needs to trigger an automated pipeline to run a build and a deployment to the appropriate ECS cluster.
What should the DevOps Engineer recommend as an automated solution to these requirements?
A. Create an AWS CloudFormation stack for the ECS cluster and AWS CodePipeline
services. Store the container build files in an Amazon S3 bucket. Use a post-commit hook
to trigger a CloudFormation stack update that deploys the ECS cluster. Add a task in the
ECS cluster to build and push images to Amazon ECR, based on the container build files in
B. Create a separate pipeline in AWS CodePipeline for each environment. Trigger each pipeline based on commits to the corresponding environment branch in GitHub. Add a build stage to launch AWS CodeBuild to create the container image from the build file and push it to Amazon ECR. Then add another stage to update the Amazon ECS task and service definitions in the appropriate cluster for that environment.
C. Create a pipeline in AWS CodePipeline. Configure it to be triggered by commits to the master branch in GitHub. Add a stage to use the Git commit message to determine which environment the commit should be applied to, then call the create-image Amazon ECR command to build the image, passing it to the container build file. Then add a stage to update the ECS task and service definitions in the appropriate cluster for that environment.
D. Create a new repository in AWS CodeCommit. Configure a scheduled project in AWS CodeBuild to synchronize the GitHub repository to the new CodeCommit repository. Create a separate pipeline for each environment triggered by changes to the CodeCommit repository. Add a stage using AWS Lambda to build the container image and push to Amazon ECR. Then add another stage to update the ECS task and service definitions in the appropriate cluster for that environment
ANSWER : B