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| Section | Weight | Objectives |
|---|
| Topic 1: Monitoring and Logging | 15% | - Implement logging and analysis
- 1. Use AWS X-Ray for tracing
- 2. Centralize logs with CloudWatch Logs
- 3. Analyze logs for troubleshooting and security
- Automate incident response
- 1. Implement alerting and notification workflows
- 2. Automate remediation and scaling
- 3. Set up event-driven actions with Amazon EventBridge
- Implement monitoring solutions
- 1. Use Amazon CloudWatch for metrics and alarms
- 2. Create dashboards and insights
- 3. Monitor infrastructure, applications, and costs
|
| Topic 2: 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. Manage IAM for pipelines and environments
- 2. Encrypt data at rest and in transit
- 3. Secure secrets and credentials
|
| Topic 3: Incident and Event Response | 14% | - Automate event management
- 1. Automate common operational tasks
- 2. Integrate with ticketing and workflow systems
- 3. Classify and prioritize events
- Manage incidents and outages
- 1. Coordinate response and recovery
- 2. Document and learn from events
- 3. Troubleshoot complex issues
- Improve operational processes
- 1. Implement feedback loops
- 2. Optimize response time and efficiency
- 3. Update runbooks and playbooks
|
| Topic 4: Resilient Cloud Solutions | 15% | - 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. Multi-AZ and multi-region deployments
- 2. Implement auto scaling and load balancing
- 3. Use Route 53 for routing and failover
- Ensure reliability and scalability
- 1. Manage capacity and elasticity
- 2. Optimize performance and cost
- 3. Design for fault tolerance
|
| Topic 5: SDLC Automation | 22% | - Automate testing and validation
- 1. Security and compliance testing
- 2. Unit, integration, and performance testing
- 3. Automate quality gates
- Automate software release processes
- 1. Manage artifacts and dependencies
- 2. Implement deployment strategies
- 3. Automate rollback procedures
- Implement CI/CD pipelines
- 1. Automate build, test, and deployment stages
- 2. Integrate version control systems
- 3. Use AWS CodePipeline, CodeBuild, CodeDeploy
|
| Topic 6: Configuration Management and Infrastructure as Code | 17% | - Automate configuration management
- 1. Detect and remediate configuration drift
- 2. Use AWS Systems Manager, Ansible, or Puppet
- 3. Maintain consistent configurations
- Implement infrastructure as code
- 1. Manage templates and stacks
- 2. Use AWS CloudFormation, Terraform, or AWS CDK
- 3. Enforce configuration standards
- Manage infrastructure deployments
- 1. Implement version control for configurations
- 2. Manage multi-account and multi-region environments
- 3. Provision and update resources automatically
|
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q159-Q164):
NEW QUESTION # 159
A DevOps engineer needs to apply a core set of security controls to an existing set of AWS accounts. The accounts are in an organization in AWS Organizations. Individual teams will administer individual accounts by using the AdministratorAccess AWS managed policy. For all accounts. AWS CloudTrail and AWS Config must be turned on in all available AWS Regions. Individual account administrators must not be able to edit or delete any of the baseline resources. However, individual account administrators must be able to edit or delete their own CloudTrail trails and AWS Config rules.
Which solution will meet these requirements in the MOST operationally efficient way?
- A. Create an AWS CloudFormation template that defines the standard account resources. Deploy the template to all accounts from the organization's management account by using Cloud Formation StackSets Create an SCP that prevents updates or deletions to CloudTrail resources or AWS Config resources unless the principal is an administrator of the organization's management account.
- B. Enable AWS Control Tower. Enroll the existing accounts in AWS Control Tower. Grant the individual account administrators access to CloudTrail and AWS Config.
- C. Designate an AWS Config management account. Create AWS Config recorders in all accounts by using AWS CloudFormation StackSets. Deploy AWS Config rules to the organization by using the AWS Config management account. Create a CloudTrail organization trail in the organization's management account. Deny modification or deletion of the AWS Config recorders by using an SCP.
- D. Create an AWS CloudFormation template that defines the standard account resources. Deploy the template to all accounts from the organization's management account by using CloudFormation StackSets. Set the stack policy to deny Update:Delete actions.
Answer: A
NEW QUESTION # 160
A company has multiple AWS accounts. The company uses AWS IAM Identity Center (AWS Single Sign- On) that is integrated with AWS Toolkit for Microsoft Azure DevOps. The attributes for access control feature is enabled in IAM Identity Center.
The attribute mapping list contains two entries. The department key is mapped to ${path:enterprise.
department}. The costCenter key is mapped to ${path:enterprise.costCenter}.
All existing Amazon EC2 instances have a department tag that corresponds to three company departments (d1, d2, d3). A DevOps engineer must create policies based on the matching attributes. The policies must minimize administrative effort and must grant each Azure AD user access to only the EC2 instances that are tagged with the user's respective department name.
Which condition key should the DevOps engineer include in the custom permissions policies to meet these requirements?
Answer: D
Explanation:
https://docs.aws.amazon.com/singlesignon/latest/userguide/configure-abac.html
NEW QUESTION # 161
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 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.
- B. 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.
- C. 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.
- D. 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.
- 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 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.
Answer: A,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 # 162
A company uses an organization in AWS Organizations to manage several AWS accounts that the company's developers use. The company requires all data to be encrypted in transit.
Multiple Amazon S3 buckets that were created in developer accounts allow unencrypted connections. A DevOps engineer must enforce encryption of data in transit for all existing S3 buckets that are created in accounts in the organization.
Which solution will meet these requirements?
- A. Turn on AWS Config for the organization. Deploy a conformance pack that uses the s3-buckot-ssl-requests-only managed rule and an AWS Systems Manager Automation runbook. Use a runbook that adds a bucket policy statement to deny access to an S3 bucket when the value of the s3:x-amz-server-side-encryption-aws-kms-key-id condition key is null.
- B. Use AWS CloudFormation StackSets to deploy an AWS Network Firewall firewall to each account. Route all inbound requests to the AWS environment through the firewall. Deploy a policy to block access to all inbound requests on port 80.
- C. Use AWS Cloud Formation StackSets to deploy an AWS Network Firewall firewall to each account. Route all outbound requests from the AWS environment through the firewall. Deploy a policy to block access to all outbound requests on port 80.
- D. Turn on AWS Config for the organization. Deploy a conformance pack that uses the s3-bucket-ssi-requests-only managed rule and an AWS Systems Manager Automation runbook. Use a runbook that adds a bucket policy statement to deny access to an S3 bucket when the value of the aws:SecureTransport condition key is false.
Answer: D
Explanation:
Step 1: Enabling AWS Config for the OrganizationThe first step is to enable AWS Config across the AWS Organization. AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. By enabling AWS Config, you can ensure that all S3 buckets within the organization are tracked and evaluated according to compliance rules.
Action: Turn on AWS Config for all AWS accounts in the organization.
Why: AWS Config will help monitor all resources (like S3 buckets) in real time to detect whether they are compliant with security policies.
Reference:
Step 2: Deploying a Conformance Pack with Managed RulesAfter AWS Config is enabled, you need to deploy a conformance pack that contains the s3-bucket-ssi-requests-only managed rule. This rule enforces that all S3 buckets only allow requests using Secure Socket Layer (SSL) connections (HTTPS).
Action: Deploy a conformance pack that uses the s3-bucket-ssi-requests-only rule. This rule ensures that only SSL connections (for encrypted data in transit) are allowed when accessing S3.
Why: This rule guarantees that data is encrypted in transit by enforcing SSL connections to the S3 buckets.
Step 3: Using an AWS Systems Manager Automation RunbookTo automatically remediate the compliance issues, such as S3 buckets allowing non-SSL requests, a Systems Manager Automation runbook is deployed. The runbook will automatically add a bucket policy that denies access to any requests that do not use SSL.
Action: Use a Systems Manager Automation runbook that adds a bucket policy statement to deny access when the aws:SecureTransport condition key is false.
Why: This ensures that all S3 buckets across the organization comply with the policy of enforcing encrypted data in transit.
This corresponds to Option C: Turn on AWS Config for the organization. Deploy a conformance pack that uses the s3-bucket-ssi-requests-only managed rule and an AWS Systems Manager Automation runbook. Use a runbook that adds a bucket policy statement to deny access to an S3 bucket when the value of the aws:SecureTransport condition key is false.
NEW QUESTION # 163
A company uses AWS Organizations to manage multiple accounts. Information security policies require that all unencrypted Amazon EBS volumes be marked as non-compliant. A DevOps engineer needs to automatically deploy the solution and ensure that this compliance check is always present.
Which solution will accomplish this?
- A. 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.
- B. 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:
RunInstances action. - C. Deploy an IAM role to all accounts from a single trusted account. Build a pipeline with AWS CodePipeline with a stage in AWS Lambda to assume the IAM role, and list all EBS volumes in the account. Publish a report to Amazon S3.
- D. Create an AWS Config organizational rule to check whether EBS encryption is enabled and deploy the rule using the AWS CLI. Create and apply an SCP to prohibit stopping and deleting AWS Config across the organization.
Answer: D
Explanation:
https://docs.aws.amazon.com/config/latest/developerguide/ec2-ebs-encryption-by-default.html
NEW QUESTION # 164
......
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