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| Section | Weight | Objectives |
|---|
| Security, Governance, and Compliance | 17% | - Implement security controls
- 1. Encrypt data at rest and in transit
- 2. Manage IAM for pipelines and environments
- 3. Secure secrets and credentials
- Enforce governance and compliance
- 1. Manage access and permissions at scale
- 2. Use AWS Config and AWS Organizations
- 3. Implement compliance rules and audits
- Automate security and compliance
- 1. Integrate security into CI/CD pipelines
- 2. Detect and remediate violations automatically
- 3. Use AWS Security Hub and AWS Shield
|
| SDLC Automation | 22% | - Automate testing and validation
- 1. Automate quality gates
- 2. Unit, integration, and performance testing
- 3. Security and compliance testing
- Automate software release processes
- 1. Manage artifacts and dependencies
- 2. Automate rollback procedures
- 3. Implement deployment strategies
- Implement CI/CD pipelines
- 1. Use AWS CodePipeline, CodeBuild, CodeDeploy
- 2. Automate build, test, and deployment stages
- 3. Integrate version control systems
|
| 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. Maintain consistent configurations
- 2. Detect and remediate configuration drift
- 3. Use AWS Systems Manager, Ansible, or Puppet
|
| Incident and Event Response | 14% | - Improve operational processes
- 1. Implement feedback loops
- 2. Update runbooks and playbooks
- 3. Optimize response time and efficiency
- Automate event management
- 1. Classify and prioritize events
- 2. Automate common operational tasks
- 3. Integrate with ticketing and workflow systems
- Manage incidents and outages
- 1. Troubleshoot complex issues
- 2. Document and learn from events
- 3. Coordinate response and recovery
|
| Resilient Cloud Solutions | 15% | - Design high availability architectures
- 1. Implement auto scaling and load balancing
- 2. Use Route 53 for routing and failover
- 3. Multi-AZ and multi-region deployments
- Implement disaster recovery
- 1. Test and validate recovery plans
- 2. Pilot light, warm standby, and active-active
- 3. Backup and restore strategies
- Ensure reliability and scalability
- 1. Design for fault tolerance
- 2. Manage capacity and elasticity
- 3. Optimize performance and cost
|
| Monitoring and Logging | 15% | - Implement logging and analysis
- 1. Use AWS X-Ray for tracing
- 2. Analyze logs for troubleshooting and security
- 3. Centralize logs with CloudWatch Logs
- Automate incident response
- 1. Set up event-driven actions with Amazon EventBridge
- 2. Automate remediation and scaling
- 3. Implement alerting and notification workflows
- Implement monitoring solutions
- 1. Create dashboards and insights
- 2. Use Amazon CloudWatch for metrics and alarms
- 3. Monitor infrastructure, applications, and costs
|
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q161-Q166):
NEW QUESTION # 161
A Company uses AWS CodeCommit for source code control. Developers apply their changes to various feature branches and create pull requests to move those changes to the main branch when the changes are ready for production.
The developers should not be able to push changes directly to the main branch. The company applied the AWSCodeCommitPowerUser managed policy to the developers' IAM role, and now these developers can push changes to the main branch directly on every repository in the AWS account.
What should the company do to restrict the developers' ability to push changes to the main branch directly?
- A. Remove the IAM policy, and add an AWSCodeCommitReadOnly managed policy. Add an Allow rule for the GitPush and PutFile actions for the specific repositories in the policy statement with a condition that references the mam branch.
- B. Create an additional policy to include a Deny rule for the GitPush and PutFile actions. Include a restriction for the specific restriction for the specific repositories in the policy repositories in the policy statement with a condition that references the main branch.
A Create an additional policy to include a Deny rule for the GitPush and PutFile actions Include a restriction for the specific repositories in the policy statement with a condition that references the main branch - C. Modify the IAM policy Include a Deny rule for the GitPush and PutFile actions for the specific repositories in the policy statement with a condition that references the main branch.
- D. Create an additional policy to include an Allow rule for the GitPush and PutFile actions. Include a restriction for the specific repositories in the policy statement with a condition that references the feature branches.
Answer: B
Explanation:
Explanation
By default, the AWSCodeCommitPowerUser managed policy allows users to push changes to any branch in any repository in the AWS account. To restrict the developers' ability to push changes to the main branch directly, an additional policy is needed that explicitly denies these actions for the main branch.
The Deny rule should be included in a policy statement that targets the specific repositories and includes a condition that references the main branch. The policy statement should look something like this:
{
"Effect": "Deny",
"Action": [
"codecommit:GitPush",
"codecommit:PutFile"
],
"Resource": "arn:aws:codecommit:<region>:<account-id>:<repository-name>",
"Condition": {
"StringEqualsIfExists": {
"codecommit:References": [
"refs/heads/main"
]
}
}
NEW QUESTION # 162
A company recently created a new AWS Control Tower landing zone in a new organization in AWS Organizations. The landing zone must be able to demonstrate compliance with the Center tor Internet Security (CIS) Benchmarks tor AWS Foundations.
The company's security team wants to use AWS Security Hub to view compliance across all accounts Only the security team can be allowed to view aggregated Security Hub Findings. In addition specific users must be able to view findings from their own accounts within the organization All accounts must be enrolled m Security Hub after the accounts are created.
Which combination of steps will meet these requirements in the MOST automated way? (Select THREE.)
- A. Create an AWS IAM identity Center (AWS Single Sign-On) permission set that includes the required permissions Use the CreateAccountAssignment API operation to associate the security team users with the permission set and with the delegated security account.
- B. Turn on trusted access for Security Hub in the organ ration's management account. From the management account, provide Security Hub with the CIS Benchmarks for AWS Foundations standards.
- C. Turn on trusted access for Security Hub in the organization's management account. Create a new security account by using AWS Control Tower Configure the new security account as the delegated administrator account for Security Hub. In the new security account provide. Security Hub with the CIS Benchmarks for AWS Foundations standards.
- D. In Security Hub, turn on automatic enablement.
- E. Create an SCP that explicitly denies any user who is not on the security team from accessing Security Hub.
- F. In the organization's management account create an Amazon EventBridge rule that reacts to the CreateManagedAccount event Create an AWS Lambda function that uses the Security Hub CreateMembers API operation to add new accounts to Security Hub. Configure the EventBridge rule to invoke the Lambda function.
Answer: A,C,D
Explanation:
Explanation
https://docs.aws.amazon.com/securityhub/latest/userguide/accounts-orgs-auto-enable.html
NEW QUESTION # 163
A DevOps engineer is building a solution that uses Amazon Simple Queue Service (Amazon SQS) standard queues. The solution also includes an AWS Lambda function and an Amazon DynamoDB table. The Lambda function pulls content from the SQS queue and writes the content to the DynamoDB table.
The solution must maximize the scalability of the Lambda function and must prevent successfully processed SQS messages from being processed multiple times.
Which solution will meet these requirements?
- A. Set the batch size to 1 in the Lambda function ' s event source mapping.
- B. Set the reserved concurrency to 1 in the Lambda function ' s concurrency and recursion detection settings.
- C. Set a value of ReportBatchItemFailures in the FunctionResponseTypes list in the Lambda function ' s event source mapping.
- D. Set the batch window to 1 second in the Lambda function ' s event source mapping.
Answer: C
Explanation:
When a Lambda function processes an SQS batch and a subset of messages fail, the default behavior re- queues the entire batch, causing already-successfully-processed messages to be delivered and processed again.
The ReportBatchItemFailures feature in the Lambda event source mapping allows the function to return a partial failure response, indicating only the specific message IDs that failed. Lambda then deletes the successfully processed messages from the queue and re-queues only the failed items, preventing duplicate processing of successful messages. This approach maintains high concurrency because it does not restrict parallelism. Setting batch size to 1 (Option B) avoids batching entirely but eliminates the concurrency and throughput benefits. Reserved concurrency of 1 (Option D) severely restricts scalability. A 1-second batch window (Option A) affects how long Lambda waits to form a batch but does not prevent duplicate processing.
NEW QUESTION # 164
A company needs to ensure that flow logs remain configured for all existing and new VPCs in its AWS account. The company uses an AWS CloudFormation stack to manage its VPCs. The company needs a solution that will work for any VPCs that any IAM user creates.
Which solution will meet these requirements?
- A. Create an IAM policy to deny the use of API calls for VPC flow logs. Attach the IAM policy to all IAM users.
- B. Create an organization in AWS Organizations. Add the company's AWS account to the organization. Create an SCP to prevent users from modifying VPC flow logs.
- C. Turn on AWS Config. Create an AWS Config rule to check whether VPC flow logs are turned on. Configure automatic remediation to turn on VPC flow logs.
- D. Add the resource to the CloudFormation stack that creates the VPCs.
Answer: C
Explanation:
To meet the requirements of ensuring that flow logs remain configured for all existing and new VPCs in the AWS account, the company should use AWS Config and automatic remediation. AWS Config is a service that enables customers to assess, audit, and evaluate the configurations of their AWS resources. AWS Config continuously monitors and records the configuration changes of the AWS resources and evaluates them against desired configurations. Customers can use AWS Config rules to define the desired configuration state of their AWS resources and trigger actions when a resource configuration violates a rule.
One of the AWS Config rules that customers can use is vpc-flow-logs-enabled, which checks whether VPC flow logs are enabled for all VPCs in an AWS account. Customers can also configure automatic remediation for this rule, which means that AWS Config will automatically enable VPC flow logs for any VPCs that do not have them enabled. Customers can specify the destination (CloudWatch Logs or S3) and the traffic type (all, accept, or reject) for the flow logs as remediation parameters. By using AWS Config and automatic remediation, the company can ensure that flow logs remain configured for all existing and new VPCs in its AWS account, regardless of who creates them or how they are created.
The other options are not correct because they do not meet the requirements or follow best practices. Adding the resource to the CloudFormation stack that creates the VPCs is not a sufficient solution because it will only work for VPCs that are created by using the CloudFormation stack. It will not work for VPCs that are created by using other methods, such as the console or the API. Creating an organization in AWS Organizations and creating an SCP to prevent users from modifying VPC flow logs is not a good solution because it will not ensure that flow logs are enabled for all VPCs in the first place. It will only prevent users from disabling or changing flow logs after they are enabled. Creating an IAM policy to deny the use of API calls for VPC flow logs and attaching it to all IAM users is not a valid solution because it will prevent users from enabling or disabling flow logs at all. It will also not work for VPCs that are created by using other methods, such as the console or CloudFormation.
References:
1: AWS::EC2::FlowLog - AWS CloudFormation
2: Amazon VPC Flow Logs extends CloudFormation Support to custom format subscriptions, 1-minute aggregation intervals and tagging
3: Logging IP traffic using VPC Flow Logs - Amazon Virtual Private Cloud
4: About AWS Config - AWS Config
5: vpc-flow-logs-enabled - AWS Config
6: Remediate Noncompliant Resources with AWS Config Rules - AWS Config
NEW QUESTION # 165
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 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.
- B. 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.
- C. 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.
- 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 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.
- 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: C,D,E
Explanation:
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 # 166
......
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