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Amazon DOP-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Monitoring and Logging15%- Automate incident response
  • 1. Implement alerting and notification workflows
  • 2. Set up event-driven actions with Amazon EventBridge
  • 3. Automate remediation and scaling
- Implement monitoring solutions
  • 1. Monitor infrastructure, applications, and costs
  • 2. Use Amazon CloudWatch for metrics and alarms
  • 3. Create dashboards and insights
- Implement logging and analysis
  • 1. Centralize logs with CloudWatch Logs
  • 2. Use AWS X-Ray for tracing
  • 3. Analyze logs for troubleshooting and security
Topic 2: Incident and Event Response14%- Automate event management
  • 1. Classify and prioritize events
  • 2. Integrate with ticketing and workflow systems
  • 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. Optimize response time and efficiency
  • 2. Update runbooks and playbooks
  • 3. Implement feedback loops
Topic 3: Resilient Cloud Solutions15%- 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
- Ensure reliability and scalability
  • 1. Design for fault tolerance
  • 2. Optimize performance and cost
  • 3. Manage capacity and elasticity
Topic 4: Security, Governance, and Compliance17%- Enforce governance and compliance
  • 1. Implement compliance rules and audits
  • 2. Manage access and permissions at scale
  • 3. Use AWS Config and AWS Organizations
- Implement security controls
  • 1. Manage IAM for pipelines and environments
  • 2. Encrypt data at rest and in transit
  • 3. Secure secrets and credentials
- 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
Topic 5: SDLC Automation22%- Automate software release processes
  • 1. Implement deployment strategies
  • 2. Manage artifacts and dependencies
  • 3. Automate rollback procedures
- Implement CI/CD pipelines
  • 1. Integrate version control systems
  • 2. Use AWS CodePipeline, CodeBuild, CodeDeploy
  • 3. Automate build, test, and deployment stages
- Automate testing and validation
  • 1. Unit, integration, and performance testing
  • 2. Security and compliance testing
  • 3. Automate quality gates
Topic 6: Configuration Management and Infrastructure as Code17%- Manage infrastructure deployments
  • 1. Provision and update resources automatically
  • 2. Manage multi-account and multi-region environments
  • 3. Implement version control for configurations
- Implement infrastructure as code
  • 1. Use AWS CloudFormation, Terraform, or AWS CDK
  • 2. Manage templates and stacks
  • 3. Enforce configuration standards
- Automate configuration management
  • 1. Maintain consistent configurations
  • 2. Detect and remediate configuration drift
  • 3. Use AWS Systems Manager, Ansible, or Puppet

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q365-Q370):

NEW QUESTION # 365
An Amazon EC2 instance is running in a VPC and needs to download an object from a restricted Amazon S3 bucket. When the DevOps engineer tries to download the object, an AccessDenied error is received, What are the possible causes tor this error? (Select TWO,)

Answer: D,E

Explanation:
These are the possible causes for the AccessDenied error because they affect the permissions to access the S3 object from the EC2 instance. An S3 bucket policy is a resource-based policy that defines who can access the bucket and its objects, and what actions they can perform. An IAM role is an identity that can be assumed by an EC2 instance to grant it permissions to access AWS services and resources. If there is an error in the S3 bucket policy or the IAM role configuration, such as a missing or incorrect statement, condition, or principal, then the EC2 instance may not have the necessary permissions to download the object from the S3 bucket .
https://docs.aws.amazon.com/AmazonS3/latest/userguide/example-bucket-policies.html
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/iam-roles-for-amazon-ec2.html


NEW QUESTION # 366
A DevOps engineer needs to implement a CI/CD pipeline in an AWS account. The pipeline must consume sensitive database credentials that are stored in an AWS Systems Manager Parameter Store parameter. The Parameter Store parameter is in a separate central account. The DevOps engineer needs to create and integrate the parameter with the CI/CD account.
Which combination of steps will meet these requirements? (Select THREE.)

Answer: B,C,F

Explanation:
---
###
The requirement is to securely consume cross-account sensitive parameters from AWS Systems Manager Parameter Store in a CI/CD pipeline. AWS imposes specific constraints and features for cross-account parameter access, and the correct solution must align with those constraints.
First, cross-account sharing of Parameter Store parameters is supported only for Advanced tier parameters. Standard tier parameters cannot be shared across accounts. Therefore, Option A is required, and Option C is invalid.
Second, cross-account access to Parameter Store parameters is implemented using AWS Resource Access Manager (AWS RAM). RAM allows the central account to explicitly share the parameter resource with the CI/CD account. Without RAM, the parameter is not visible or accessible across accounts. This makes Option F mandatory.
Third, because the parameter stores sensitive credentials, encryption must be handled securely. When sharing encrypted parameters across accounts, AWS requires the use of a customer managed AWS KMS key, not an AWS managed key. The key policy must explicitly grant `kms:Decrypt` permission to the consuming account. AWS managed keys cannot be shared across accounts, which makes Option D invalid and Option E correct.
Although the CI/CD pipeline's IAM role must ultimately have permission to read the parameter, that permission is implicit in the consuming account once the parameter is shared and the KMS key policy allows decryption. The critical cross-account enablers are Advanced tier, RAM sharing, and a customer managed KMS key.
Therefore, the correct combination is A, E, and F.


NEW QUESTION # 367
A company hosts applications in its AWS account Each application logs to an individual Amazon CloudWatch log group. The company's 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?

Answer: B

Explanation:
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.
References:
CloudWatch Metrics
CloudWatch Logs Insights
AWS Cost Explorer
AWS CloudTrail


NEW QUESTION # 368
A company has deployed an Amazon Elastic Kubernetes Service (Amazon EKS) cluster with Amazon EC2 node groups. The company's DevOps team uses the Kubernetes Horizontal Pod Autoscaler and recently installed a supported EKS cluster Autoscaler.
The DevOps team needs to implement a solution to collect metrics and logs of the EKS cluster to establish a baseline for performance. The DevOps team will create an initial set of thresholds for specific metrics and will update the thresholds over time as the cluster is used. The DevOps team must receive an Amazon Simple Notification Service (Amazon SNS) email notification if the initial set of thresholds is exceeded or if the EKS cluster Autoscaler is not functioning properly.
The solution must collect cluster, node, and pod metrics. The solution also must capture logs in Amazon CloudWatch.
Which combination of steps should the DevOps team take to meet these requirements? (Select THREE.)

Answer: C,E,F

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer Documents Only:
Deploy CloudWatch Agent + Fluent Bit (supported by Amazon EKS integration) to forward metrics and logs. Create CloudWatch Alarms for CPU/memory/node metrics and metric log filters for Autoscaler logs, triggering SNS notifications when anomalies occur. This pattern matches AWS guidance on "Monitoring EKS clusters with CloudWatch Container Insights and alarms."


NEW QUESTION # 369
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?

Answer: D

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 # 370
......

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