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Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Configuration Management and Infrastructure as Code	17%	- Implement infrastructure as code 1. Enforce configuration standards 2. Manage templates and stacks 3. Use AWS CloudFormation, Terraform, or AWS CDK - Automate configuration management 1. Detect and remediate configuration drift 2. Use AWS Systems Manager, Ansible, or Puppet 3. Maintain consistent configurations - Manage infrastructure deployments 1. Manage multi-account and multi-region environments 2. Implement version control for configurations 3. Provision and update resources automatically
SDLC Automation	22%	- Automate testing and validation 1. Automate quality gates 2. Security and compliance testing 3. Unit, integration, and performance 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
Resilient Cloud Solutions	15%	- Ensure reliability and scalability 1. Manage capacity and elasticity 2. Optimize performance and cost 3. Design for fault tolerance - Implement disaster recovery 1. Backup and restore strategies 2. Pilot light, warm standby, and active-active 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
Monitoring and Logging	15%	- 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. Monitor infrastructure, applications, and costs 2. Create dashboards and insights 3. Use Amazon CloudWatch for metrics and alarms - Implement logging and analysis 1. Use AWS X-Ray for tracing 2. Centralize logs with CloudWatch Logs 3. Analyze logs for troubleshooting and security
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. Automate common operational tasks 2. Integrate with ticketing and workflow systems 3. Classify and prioritize events - Manage incidents and outages 1. Document and learn from events 2. Troubleshoot complex issues 3. Coordinate response and recovery
Security, Governance, and Compliance	17%	- Automate security and compliance 1. Integrate security into CI/CD pipelines 2. Use AWS Security Hub and AWS Shield 3. Detect and remediate violations automatically - Implement security controls 1. Manage IAM for pipelines and environments 2. Secure secrets and credentials 3. Encrypt data at rest and in transit - Enforce governance and compliance 1. Use AWS Config and AWS Organizations 2. Manage access and permissions at scale 3. Implement compliance rules and audits

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q347-Q352):

NEW QUESTION # 347
A company hosts applications in its AWS account Each application logs to an individual Amazon CloudWatch log group. The companys CloudWatch costs for ingestion are increasing A DevOps engineer needs to Identify which applications are the source of the increased logging costs.
Which solution Will meet these requirements?

A. Use CloudWatch Logs Insights to create a set of queries for the application log groups to Identify the number of logs written for a period of time
B. Use AWS Cost Explorer to generate a cost report that details the cost for CloudWatch usage
C. Use CloudWatch metrics to create a custom expression that Identifies the CloudWatch log groups that have the most data being written to them.
D. Use AWS CloudTrail to filter for CreateLogStream events for each application

Answer: B

Explanation:
The correct answer is C)
A comprehensive and detailed explanation is:
Option A is incorrect because using CloudWatch metrics to create a custom expression that identifies the CloudWatch log groups that have the most data being written to them is not a valid solution. CloudWatch metrics do not provide information about the size or volume of data being ingested by CloudWatch logs. CloudWatch metrics only provide information about the number of events, bytes, and errors that occur within a log group or stream. Moreover, creating a custom expression with CloudWatch metrics would require using the search_web tool, which is not necessary for this use case.
Option B is incorrect because using CloudWatch Logs Insights to create a set of queries for the application log groups to identify the number of logs written for a period of time is not a valid solution. CloudWatch Logs Insights can help analyze and filter log events based on patterns and expressions, but it does not provide information about the cost or billing of CloudWatch logs. CloudWatch Logs Insights also charges based on the amount of data scanned by each query, which could increase the logging costs further.
Option C is correct because using AWS Cost Explorer to generate a cost report that details the cost for CloudWatch usage is a valid solution. AWS Cost Explorer is a tool that helps visualize, understand, and manage AWS costs and usage over time. AWS Cost Explorer can generate custom reports that show the breakdown of costs by service, region, account, tag, or any other dimension. AWS Cost Explorer can also filter and group costs by usage type, which can help identify the specific CloudWatch log groups that are the source of the increased logging costs.
Option D is incorrect because using AWS CloudTrail to filter for CreateLogStream events for each application is not a valid solution. AWS CloudTrail is a service that records API calls and account activity for AWS services, including CloudWatch logs. However, AWS CloudTrail does not provide information about the cost or billing of CloudWatch logs. Filtering for CreateLogStream events would only show when a new log stream was created within a log group, but not how much data was ingested or stored by that log stream.
Reference:
CloudWatch Metrics
CloudWatch Logs Insights
AWS Cost Explorer
AWS CloudTrail

NEW QUESTION # 348
A company requires its internal business teams to launch resources through pre-approved AWS CloudFormation templates only. The security team requires automated monitoring when resources drift from their expected state.
Which strategy should be used to meet these requirements?

A. Allow users to deploy CloudFormation stacks using a CloudFormation service role only. Use AWS Config rules to detect when resources have drifted from their expected state.
B. Allow users to deploy CloudFormation stacks using AWS Service Catalog only. Enforce the use of a launch constraint. Use AWS Config rules to detect when resources have drifted from their expected state.
C. Allow users to deploy CloudFormation stacks using AWS Service Catalog only. Enforce the use of a template constraint. Use Amazon EventBridge notifications to detect when resources have drifted from their expected state.
D. Allow users to deploy CloudFormation stacks using a CloudFormation service role only. Use CloudFormation drift detection to detect when resources have drifted from their expected state.

Answer: B

Explanation:
Explanation
The correct answer is C. Allowing users to deploy CloudFormation stacks using AWS Service Catalog only and enforcing the use of a launch constraint is the best way to ensure that the internal business teams launch resources through pre-approved CloudFormation templates only. AWS Service Catalog is a service that enables organizations to create and manage catalogs of IT services that are approved for use on AWS. A launch constraint is a rule that specifies the role that AWS Service Catalog assumes when launching a product.
By using a launch constraint, the DevOps engineer can control the permissions that the users have when launching a product. Using AWS Config rules to detect when resources have drifted from their expected state is the best way to automate the monitoring of the resources. AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. AWS Config rules are custom or managed rules that AWS Config uses to evaluate whether your AWS resources comply with your desired configurations. By using AWS Config rules, the DevOps engineer can track the changes in the resources and identify any non-compliant resources.
Option A is incorrect because allowing users to deploy CloudFormation stacks using a CloudFormation service role only is not the best way to ensure that the internal business teams launch resources through pre-approved CloudFormation templates only. A CloudFormation service role is an IAM role that CloudFormation assumes to create, update, or delete the stack resources. By using a CloudFormation service role, the DevOps engineer can control the permissions that CloudFormation has when acting on the resources, but not the permissions that the users have when launching a stack. Therefore, option A does not prevent the users from launching resources that are not approved by the company. Using CloudFormation drift detection to detect when resources have drifted from their expected state is a valid way to monitor the resources, but it is not as automated and scalable as using AWS Config rules. CloudFormation drift detection is a feature that enables you to detect whether a stack's actual configuration differs, or has drifted, from its expected configuration. To use this feature, the DevOps engineer would need to manually initiate a drift detection operation on the stack or the stack resources, and then view the drift status and details in the CloudFormation console or API.
Option B is incorrect because allowing users to deploy CloudFormation stacks using a CloudFormation service role only is not the best way to ensure that the internal business teams launch resources through pre-approved CloudFormation templates only, as explained in option A. Using AWS Config rules to detect when resources have drifted from their expected state is a valid way to monitor the resources, as explained in option C.
Option D is incorrect because enforcing the use of a template constraint is not the best way to ensure that the internal business teams launch resources through pre-approved CloudFormation templates only. A template constraint is a rule that defines the values or properties that users can specify when launching a product. By using a template constraint, the DevOps engineer can control the parameters that the users can provide when launching a product, but not the permissions that the users have when launching a product. Therefore, option D does not prevent the users from launching resources that are not approved by the company. Using Amazon EventBridge notifications to detect when resources have drifted from their expected state is a less reliable and consistent solution than using AWS Config rules. Amazon EventBridge is a service that enables you to connect your applications with data from a variety of sources. Amazon EventBridge can deliver a stream of real-time data from event sources, such as AWS services, and route that data to targets, such as AWS Lambda functions. However, to use this solution, the DevOps engineer would need to configure the event source, the event bus, the event rule, and the event target for each resource type that needs to be monitored, which is more complex and error-prone than using AWS Config rules.

NEW QUESTION # 349
A company runs a fleet of Amazon EC2 instances in a VPC. The company's employees remotely access the EC2 instances by using the Remote Desktop Protocol (RDP). The company wants to collect metrics about how many RDP sessions the employees initiate every day. Which combination of steps will meet this requirement? (Select THREE.)

A. Create a flow log in VPC Flow Logs.
B. Create an Amazon EventBridge rule that reacts to EC2 Instance State-change Notification events.
C. Create a log group subscription filter. Use EventBridge as the destination.
D. Create an Amazon CloudWatch Logs log group. Specify the log group as a destination for the flow log.
E. Create a log group metric filter.
F. Create an Amazon CloudWatch Logs log group. Specify the log group as a target for the EventBridge rule.

Answer: A,D,E

NEW QUESTION # 350
A company is migrating its container-based workloads to an AWS Organizations multi-account environment.
The environment consists of application workload accounts that the company uses to deploy and run the containerized workloads. The company has also provisioned a shared services account tor shared workloads in the organization.
The company must follow strict compliance regulations. All container images must receive security scanning before they are deployed to any environment. Images can be consumed by downstream deployment mechanisms after the images pass a scan with no critical vulnerabilities. Pre-scan and post-scan images must be isolated from one another so that a deployment can never use pre-scan images.
A DevOps engineer needs to create a strategy to centralize this process.
Which combination of steps will meet these requirements with the LEAST administrative overhead? (Select TWO.)

A. Create pre-scan Amazon Elastic Container Registry (Amazon ECR) repositories in each account that publishes container images. Create repositories for post-scan images in the shared services account.
Configure Amazon ECR image scanning to run on new image pushes to the pre-scan repositories. Use resource-based policies to grant the organization read access to the post-scan repositories.
B. Create an AWS Lambda function. Create an Amazon EventBridge rule that reacts to image scanning completed events and invokes the Lambda function. Write function code that determines the image scanning status and pushes images without critical vulnerabilities to the post-scan repositories.
C. Configure image replication for each image from the image's pre-scan repository to the image's post- scan repository.
D. Create a pipeline in AWS CodePipeline for each pre-scan repository. Create a source stage that runs when new images are pushed to the pre-scan repositories. Create a stage that uses AWS CodeBuild as the action provider. Write a buildspec.yaml definition that determines the image scanning status and pushes images without critical vulnerabilities lo the post-scan repositories.
E. Create Amazon Elastic Container Registry (Amazon ECR) repositories in the shared services account:
one repository for each pre-scan image and one repository for each post-scan image. Configure Amazon ECR image scanning to run on new image pushes to the pre-scan repositories. Use resource-based policies to grant the organization write access to the pre-scan repositories and read access to the post- scan repositories.

Answer: C,E

NEW QUESTION # 351
A DevOps engineer is working on a project that is hosted on Amazon Linux and has failed a security review.
The DevOps manager has been asked to review the company buildspec. yaml die for an AWS CodeBuild project and provide recommendations. The buildspec. yaml file is configured as follows:

What changes should be recommended to comply with AWS security best practices? (Select THREE.)

A. Store the db_password as a SecureString value in AWS Systems Manager Parameter Store and then remove the db_password from the environment variables.
B. 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.
C. Use AWS Systems Manager run command versus sec and ssh commands directly to the instance.
D. Update the CodeBuild project role with the necessary permissions and then remove the AWS credentials from the environment variable.
E. Move the environment variables to the 'db.-deploy-bucket 'Amazon S3 bucket, add a prebuild stage to download then export the variables.

Answer: A,C,D

Explanation:
B). Update the CodeBuild project role with the necessary permissions and then remove the AWS credentials from the environment variable. C. Store the DB_PASSWORD as a SecureString value in AWS Systems Manager Parameter Store and then remove the DB_PASSWORD from the environment variables. E. Use AWS Systems Manager run command versus scp and ssh commands directly to the instance.

NEW QUESTION # 352
......

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