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| Section | Weight | Objectives |
|---|
| Resilient Cloud Solutions | 15% | - Ensure reliability and scalability
- 1. Optimize performance and cost
- 2. Manage capacity and elasticity
- 3. Design for fault tolerance
- Implement disaster recovery
- 1. Pilot light, warm standby, and active-active
- 2. Backup and restore strategies
- 3. Test and validate recovery plans
- Design high availability architectures
- 1. Use Route 53 for routing and failover
- 2. Implement auto scaling and load balancing
- 3. Multi-AZ and multi-region deployments
|
| SDLC Automation | 22% | - Automate software release processes
- 1. Manage artifacts and dependencies
- 2. Automate rollback procedures
- 3. Implement deployment strategies
- Automate testing and validation
- 1. Security and compliance testing
- 2. Unit, integration, and performance testing
- 3. Automate quality gates
- Implement CI/CD pipelines
- 1. Use AWS CodePipeline, CodeBuild, CodeDeploy
- 2. Integrate version control systems
- 3. Automate build, test, and deployment stages
|
| Security, Governance, and Compliance | 17% | - Automate security and compliance
- 1. Use AWS Security Hub and AWS Shield
- 2. Integrate security into CI/CD pipelines
- 3. Detect and remediate violations automatically
- Enforce governance and compliance
- 1. Implement compliance rules and audits
- 2. Use AWS Config and AWS Organizations
- 3. Manage access and permissions at scale
- Implement security controls
- 1. Secure secrets and credentials
- 2. Encrypt data at rest and in transit
- 3. Manage IAM for pipelines and environments
|
| Monitoring and Logging | 15% | - Implement logging and analysis
- 1. Analyze logs for troubleshooting and security
- 2. Use AWS X-Ray for tracing
- 3. Centralize logs with CloudWatch Logs
- Automate incident response
- 1. Automate remediation and scaling
- 2. Implement alerting and notification workflows
- 3. Set up event-driven actions with Amazon EventBridge
- Implement monitoring solutions
- 1. Use Amazon CloudWatch for metrics and alarms
- 2. Monitor infrastructure, applications, and costs
- 3. Create dashboards and insights
|
| Incident and Event Response | 14% | - Automate event management
- 1. Integrate with ticketing and workflow systems
- 2. Classify and prioritize events
- 3. Automate common operational tasks
- Manage incidents and outages
- 1. Troubleshoot complex issues
- 2. Document and learn from events
- 3. Coordinate response and recovery
- Improve operational processes
- 1. Update runbooks and playbooks
- 2. Implement feedback loops
- 3. Optimize response time and efficiency
|
| Configuration Management and Infrastructure as Code | 17% | - Implement infrastructure as code
- 1. Enforce configuration standards
- 2. Use AWS CloudFormation, Terraform, or AWS CDK
- 3. Manage templates and stacks
- Manage infrastructure deployments
- 1. Manage multi-account and multi-region environments
- 2. Implement version control for configurations
- 3. Provision and update resources automatically
- Automate configuration management
- 1. Use AWS Systems Manager, Ansible, or Puppet
- 2. Detect and remediate configuration drift
- 3. Maintain consistent configurations
|
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q270-Q275):
NEW QUESTION # 270
A company is developing a new application. The application uses AWS Lambda functions for its compute tier. The company must use a canary deployment for any changes to the Lambda functions. Automated rollback must occur if any failures are reported.
The company's DevOps team needs to create the infrastructure as code (IaC) and the CI/CD pipeline for this solution.
Which combination of steps will meet these requirements? (Choose three.)
- A. Create an AWS CloudFormation template for the application. Define each Lambda function in the template by using the AWS::Lambda::Function resource type. In the template, include a version for the Lambda function by using the AWS::Lambda::Version resource type. Declare the CodeSha256 property. Configure an AWS::Lambda::Alias resource that references the latest version of the Lambda function.
- B. Create an Amazon CloudWatch alarm for each Lambda function. Configure the alarms to enter the ALARM state if any errors are detected. Configure an evaluation period, dimensions for each Lambda function and version, and the namespace as AWS/Lambda on the Errors metric.
- C. Create an AWS CodeCommit repository. Create an AWS CodePipeline pipeline. Use the CodeCommit repository in a new source stage that starts the pipeline. Create an AWS CodeBuild project to deploy the AWS Serverless Application Model (AWS SAM) template. Upload the template and source code to the CodeCommit repository. In the CodeCommit repository, create a buildspec.yml file that includes the commands to build and deploy the SAM application.
- D. Create an AWS Serverless Application Model (AWS SAM) template for the application. Define each Lambda function in the template by using the AWS::Serverless::Function resource type. For each function, include configurations for the AutoPublishAlias property and the DeploymentPreference property. Configure the deployment configuration type to LambdaCanary10Percent10Minutes.
- E. Create an Amazon CloudWatch composite alarm for all the Lambda functions. Configure an evaluation period and dimensions for Lambda. Configure the alarm to enter the ALARM state if any errors are detected or if there is insufficient data.
- F. Create an AWS CodeCommit repository. Create an AWS CodePipeline pipeline. Use the CodeCommit repository in a new source stage that starts the pipeline. Create an AWS CodeDeploy deployment group that is configured for canary deployments with a DeploymentPreference type of Canary10Percent10Minutes. Upload the AWS CloudFormation template and source code to the CodeCommit repository. In the CodeCommit repository, create an appspec.yml file that includes the commands to deploy the CloudFormation template.
Answer: B,C,D
Explanation:
The requirement is to create the infrastructure as code (IaC) and the CI/CD pipeline for the Lambda application that uses canary deployment and automated rollback. To do this, the DevOps team needs to use the following steps:
Create an AWS Serverless Application Model (AWS SAM) template for the application. AWS SAM is a framework that simplifies the development and deployment of serverless applications on AWS. AWS SAM allows customers to define Lambda functions and other resources in a template by using a simplified syntax. For each Lambda function, the DevOps team can include configurations for the AutoPublishAlias property and the DeploymentPreference property. The AutoPublishAlias property specifies the name of the alias that points to the latest version of the function. The DeploymentPreference property specifies how CodeDeploy deploys new versions of the function. By configuring the deployment configuration type to LambdaCanary10Percent10Minutes, the DevOps team can enable canary deployment with 10% of traffic shifted to the new version every 10 minutes.
Create an AWS CodeCommit repository. Create an AWS CodePipeline pipeline. Use the CodeCommit repository in a new source stage that starts the pipeline. Create an AWS CodeBuild project to deploy the AWS SAM template. CodeCommit is a fully managed source control service that hosts Git repositories. CodePipeline is a fully managed continuous delivery service that automates the release process of software applications. CodeBuild is a fully managed continuous integration service that compiles source code and runs tests. By using these services, the DevOps team can create a CI/CD pipeline for the Lambda application. The pipeline should use the CodeCommit repository as the source stage, where the DevOps team can upload the SAM template and source code. The pipeline should also use a CodeBuild project as the build stage, where the SAM template can be built and deployed.
Create an Amazon CloudWatch alarm for each Lambda function. Configure the alarms to enter the ALARM state if any errors are detected. Configure an evaluation period, dimensions for each Lambda function and version, and the namespace as AWS/Lambda on the Errors metric. CloudWatch is a service that monitors and collects metrics from AWS resources and applications. CloudWatch alarms are actions that are triggered when a metric crosses a specified threshold. By creating CloudWatch alarms for each Lambda function, the DevOps team can monitor the health and performance of each function version during deployment. By configuring the alarms to enter the ALARM state if any errors are detected, the DevOps team can enable automated rollback if any failures are reported.
NEW QUESTION # 271
A company has many applications. Different teams in the company developed the applications by using multiple languages and frameworks. The applications run on premises and on different servers with different operating systems. Each team has its own release protocol and process. The company wants to reduce the complexity of the release and maintenance of these applications.
The company is migrating its technology stacks, including these applications, to AWS. The company wants centralized control of source code, a consistent and automatic delivery pipeline, and as few maintenance tasks as possible on the underlying infrastructure.
What should a DevOps engineer do to meet these requirements?
- A. Create one AWS CodeCommit repository for each of the applications. Use AWS CodeBuild to build the applications one at a time. Use AWS CodeDeploy to deploy the applications to one centralized application server.
- B. Create one AWS CodeCommit repository for each of the applications. Use AWS CodeBuild to build the applications one at a time and to create one AMI for each server. Use AWS CloudFormation StackSets to automatically provision and decommission Amazon EC2 fleets by using these AMIs.
- C. Create one AWS CodeCommit repository for each of the applications. Use AWS CodeBuild to build one Docker image for each application in Amazon Elastic Container Registry (Amazon ECR). Use AWS CodeDeploy to deploy the applications to Amazon Elastic Container Service (Amazon ECS) on infrastructure that AWS Fargate manages.
- D. Create one AWS CodeCommit repository for all applications. Put each application's code in a different branch. Merge the branches, and use AWS CodeBuild to build the applications. Use AWS CodeDeploy to deploy the applications to one centralized application server.
Answer: C
Explanation:
Explanation
because of "as few maintenance tasks as possible on the underlying infrastructure". Fargate does that better than "one centralized application server"
NEW QUESTION # 272
A company is using AWS Organizations and wants to implement a governance strategy with the following requirements:
AWS resource access is restricted to the same two Regions for all accounts.
AWS services are limited to a specific group of authorized services for all accounts.
Authentication is provided by Active Directory.
Access permissions are organized by job function and are identical in each account.
Which solution will meet these requirements?
- A. Establish an organizational unit (OU) with group policies in the management account to restrict Regions and authorized services. Use AWS CloudFormation 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 management account to restrict Regions and authorized services. Use AWS CloudFormation StackSets 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 management account to restrict Regions and authorized services. Use AWS Resource Access Manager (AWS RAM) to share management account roles with permissions for each job function, including AWS IAM Identity Center for authentication in each account.
- D. Establish a service control policy (SCP) in the management account to restrict Regions and authorized services. Use AWS CloudFormation StackSets to provision roles with permissions for each job function, including an IAM trust policy for IAM identity provider authentication in each account.
Answer: D
Explanation:
This is a classic AWS Organizations governance design:
Restrict Regions and allowed services across all accounts
The correct Organizations mechanism for account-wide guardrails is a Service Control Policy (SCP).
SCPs set the maximum permissions that accounts/OUs can use, making them the right tool to enforce "only these Regions" and "only these services" consistently across the org.
Authentication from Active Directory + consistent job-function roles in every account With AD as the identity source, the standard approach is federation to AWS using an IAM identity provider (SAML) and role assumption based on job function.
AWS CloudFormation StackSets is the operationally efficient way to deploy identical IAM roles/policies into multiple accounts/OUs so job-function permissions are consistent everywhere.
The roles' trust policies can be configured to allow federated identities (from the AD-backed IdP) to assume the correct job role in each account.
Why the other options don't fit:
A "OU with group policies" isn't an AWS Organizations control mechanism for restricting Regions/services. The AWS-native control for this is SCPs, not "group policies." B Permissions boundaries are useful to limit what an IAM principal/role can do within an account, but they are not the org-wide enforcement mechanism for "all accounts must stay in these Regions / use only these services." That's what SCPs do.
NEW QUESTION # 273
A company's organization in AWS Organizations has a single OU. The company runs Amazon EC2 instances in the OU accounts. The company needs to limit the use of each EC2 instance's credentials to the specific EC2 instance that the credential is assigned to. A DevOps engineer must configure security for the EC2 instances.
Which solution will meet these requirements?
- A. Create an SCP that checks whether the values of the aws:EC2lnstanceSourceVPC and aws:SourceVpc condition keys are the same. Deny access if the values are not the same. In the same SCP check, check whether the values of the aws:EC2lnstanceSourcePrivatelPv4 andawsVpcSourcelp condition keys are the same. Deny access if the values are not the same. Apply the SCP to the OU.
- B. Create an SCP that includes a list of acceptable VPC values and checks whether the value of the aws:
SourceVpc condition key is in the list. In the same SCP check, define a list of acceptable IP address values and check whether the value of the aws:VpcSourcelp condition key is in the list. Deny access if either condition is false. Apply the SCP to each account in the organization. - C. Create an SCP that checks whether the values of the aws:EC2lnstanceSourceVPC and aws:VpcSourcelp condition keys are the same. Deny access if the values are not the same. In the same SCP check, check whether the values of the aws:EC2lnstanceSourcePrivatolPv4 and aws:SourceVpc condition keys are the same. Deny access if the values are not the same. Apply the SCP to each account in the organization.
- D. Create an SCP that specifies the VPC CIDR block. Configure the SCP to check whether the value of the aws:VpcSourcelp condition key is in the specified block. In the same SCP check, check whether the values of the aws:EC2lnstanceSourcePrivatelPv4 and aws:SourceVpc condition keys are the same.
Deny access if either condition is false. Apply the SCP to the OU.
Answer: A
Explanation:
* Step 1: Using Service Control Policies (SCPs) for EC2 SecurityTo limit the use of EC2 instance credentials to the specific EC2 instance they are assigned to, you can create a Service Control Policy (SCP) that verifies specific conditions, such as whether the EC2 instance's source VPC and private IP match expected values.
* Action:Create an SCP that checks whether the values of the aws:EC2InstanceSourceVPC and aws:SourceVpc condition keys are the same. Deny access if they are not.
* Why:This ensures that credentials cannot be used outside the designated EC2 instance or VPC.
* Step 2: Further Validation with Private IPsThe SCP should also verify that the EC2 instance's private IP matches the IP range specified for the VPC. If the instance's private IP does not match, access should be denied.
* Action:In the same SCP, check whether the values of the aws:EC2InstanceSourcePrivateIP and aws:VpcSourceIP condition keys are the same. Deny access if they are not.
* Why:This ensures that the credentials are only used within the specific EC2 instance and its associated VPC.
NEW QUESTION # 274
A company uses AWS CloudFormation to deploy application environments. A deployment failed due to manual modifications in stack resources. The DevOps engineer wants to detect manual modifications and alert the DevOps lead with the least effort.
Which solution meets these requirements?
- A. Create an SNS topic, subscribe the DevOps lead, create a Config managed rule CLOUDFORMATION_STACK_DRIFT_DETECTION_CHECK. Create an EventBridge rule on COMPLIANT resources, set SNS as target.
- B. Tag all CloudFormation resources, create a custom AWS Config rule via SDK that flags manual changes as NON_COMPLIANT, create an EventBridge rule and Lambda to send email notifications.
- C. Create an SNS topic and subscribe the DevOps lead via email. Create an AWS Config managed rule with CLOUDFORMATION_STACK_DRIFT_DETECTION_CHECK. Create an EventBridge rule on NON_COMPLIANT resources and set SNS as target.
- D. Create an AWS Config managed ruleCLOUDFORMATION_STACK_DRIFT_DETECTION_CHECK. Create an EventBridge rule on NON_COMPLIANT resources, and a Lambda to send email notifications.
Answer: C
Explanation:
AWS Config offers a managed rule called CL
OUDFORMATION_STACK_DRIFT_DETECTION_CHECK to detect stack drift automatically.
* Creating an SNS topic and subscribing the DevOps lead enables simple notification without custom Lambda functions.
* An EventBridge rule that triggers on NON_COMPLIANT status (when drift is detected) can send alerts directly to SNS.Option B adds complexity by requiring custom rules and Lambda. Option C incorrectly triggers on COMPLIANT, not NON_COMPLIANT. Option D needs a Lambda for email, while SNS can send email directly.Hence, Option A offers the least operational effort.
References:
AWS Config Drift Detection
AWS Config Managed Rules
NEW QUESTION # 275
......
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