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Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Policies and Standards Automation	10%	- Design and implement governance strategies 1. Design cost optimization through policies 2. Implement tagging policies and resource grouping 3. Implement approval workflows and automation - Design and implement preventive and detective controls 1. Implement drift detection and remediation 2. Design and implement security baselines 3. Implement AWS Organizations and SCPs
Topic 2: Configuration Management and Infrastructure as Code	22%	- Design and implement data management strategies 1. Design backup and recovery solutions 2. Implement database migration strategies 3. Implement data lifecycle management - Design and implement infrastructure as code 1. Design for scalability and repeatability 2. Develop IaC templates (AWS CloudFormation, Terraform) 3. Implement modular and reusable infrastructure components - Implement compliance and configuration monitoring 1. Design remediation automation 2. Use AWS Config for compliance monitoring 3. Implement AWS CloudTrail for auditing - Design and implement configuration management 1. Implement parameter management (AWS Parameter Store, Secrets Manager) 2. Implement AWS Systems Manager for configuration management 3. Design patch management strategies
Topic 3: Monitoring and Logging	12%	- Design and implement alerting and incident management 1. Create alarm notification strategies 2. Design runbook automation 3. Implement automated incident response - Design and implement monitoring and observability strategies 1. Implement log aggregation and analysis 2. Implement distributed tracing (AWS X-Ray) 3. Design custom metrics and alarms (Amazon CloudWatch)
Topic 4: High Availability and Disaster Recovery	16%	- Design and implement high availability and scalability 1. Design multi-AZ and multi-region architectures 2. Implement load balancing and traffic management 3. Implement auto scaling strategies - Design and implement disaster recovery strategies 1. Implement multi-region active-active architectures 2. Implement backup and restore mechanisms 3. Design RTO and RPO based DR solutions 4. Implement pilot light and warm standby architectures - Implement data backup and restore strategies 1. Design point-in-time recovery solutions 2. Implement validation testing for backups 3. Implement cross-region replication
Topic 5: SDLC Automation	22%	- Design and implement source code management strategies 1. Design code review and approval processes 2. Determine branching strategies 3. Implement repository configurations and hooks - Design build and test environments 1. Implement build environments (isolated, reproducible) 2. Integrate security scanning and compliance checks 3. Design test automation frameworks - Design and implement CI/CD pipelines 1. Implement deployment strategies (blue-green, canary, rolling) 2. Design failure handling strategies 3. Develop CI/CD pipelines considering testing and security requirements 4. Determine appropriate CI/CD pipeline architecture
Topic 6: Incident and Event Response	18%	- Design and implement event and incident management 1. Implement automated incident detection 2. Design event aggregation and correlation 3. Implement automated response playbooks - Design and implement chaos engineering practices 1. Analyze system behavior under failure conditions 2. Design resilience testing strategies 3. Implement fault injection experiments (AWS Fault Injection Simulator)

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Amazon AWS Certified DevOps Engineer - Professional 認定 DOP-C02 試験問題 (Q246-Q251):

質問 # 246
A company is developing a web application that runs on Amazon EC2 Linux instances. The application requires monitoring of custom performance metrics. The company must collect metrics for API response times and database query latency across multiple instances. Which solution will generate the custom metrics with the LEAST operational overhead?

A. Implement custom logging in the application code to record the custom metrics. Use Amazon CloudWatch Logs Insights to extract and analyze the metrics.
B. Create a custom AWS Lambda function that polls the application endpoints and database at regular intervals. Program the Lambda function to calculate the custom metrics and to send the metrics to Amazon CloudWatch by using PutMetricData API calls.
C. Use Amazon Managed Service for Prometheus to scrape the custom metrics from the application. Use the Amazon CloudWatch agent to forward the metrics to CloudWatch.
D. Install the Amazon CloudWatch agent on the instances. Configure the agent to collect the custom metrics. Instrument the application to send the metrics to the agent.

正解：D

質問 # 247
A growing company manages more than 50 accounts in an organization in AWS Organizations. The company has configured its applications to send logs to Amazon CloudWatch Logs.
A DevOps engineer needs to aggregate logs so that the company can quickly search the logs to respond to future security incidents. The DevOps engineer has created a new AWS account for centralized monitoring.
Which combination of steps should the DevOps engineer take to make the application logs searchable from the monitoring account? (Select THREE.)

A. In the organization's management account, enable the logging policies for the organization.
B. In the monitoring account, attach the CloudWatchLogsReadOnlyAccess AWS managed policy to an IAM role that can be assumed to search the logs.
C. use CloudWatch Observability Access Manager in the monitoring account to create a sink. Allow logs to be shared with the monitoring account. Configure the monitoring account data selection to view the Observability data from the organization ID.
D. In the monitoring account, download an AWS CloudFormation template from CloudWatch to use in Organizations. Use CloudFormation StackSets in the organization's management account to deploy the CloudFormation template to the entire organization.
E. Create an AWS CloudFormation template that defines an IAM role. Configure the role to allow logs- amazonaws.com to perform the logs:Link action if the aws:ResourceAccount property is equal to the monitoring account ID. Use CloudFormation StackSets in the organization's management account to deploy the CloudFormation template to the entire organization.
F. Create an IAM role in the monitoring account. Attach a trust policy that allows logs.amazonaws.com to perform the iam:CreateSink action if the aws:PrincipalOrgld property is equal to the organization ID.

正解：B、E、F

解説：
* To aggregate logs from multiple accounts in an organization, the DevOps engineer needs to create a cross-account subscription1 that allows the monitoring account to receive log events from the sharing accounts.
* To enable cross-account subscription, the DevOps engineer needs to create an IAM role in each sharing account that grants permission to CloudWatch Logs to link the log groups to the destination in the monitoring account2. This can be done using a CloudFormation template and StackSets3 to deploy the role to all accounts in the organization.
* The DevOps engineer also needs to create an IAM role in the monitoring account that allows CloudWatch Logs to create a sink for receiving log events from otheraccounts4. The role must have a trust policy that specifies the organization ID as a condition.
* Finally, the DevOps engineer needs to attach the CloudWatchLogsReadOnlyAccess policy5 to an IAM role in the monitoring account that can be used to search the logs from the cross-account subscription.
References: 1: Cross-account log data sharing with subscriptions 2: Create an IAM role for CloudWatch Logs in each sharing account 3: AWS CloudFormation StackSets 4: Create an IAM role for CloudWatch Logs in your monitoring account 5: CloudWatchLogsReadOnlyAccess policy

質問 # 248
A company has a new AWS account that teams will use to deploy various applications. The teams will create many Amazon S3 buckets for application- specific purposes and to store AWS CloudTrail logs. The company has enabled Amazon Macie for the account.
A DevOps engineer needs to optimize the Macie costs for the account without compromising the account's functionality.
Which solutions will meet these requirements? (Select TWO.)

A. Configure discovery jobs to include S3 objects based on the last modified criterion.
B. Exclude S3 buckets that contain CloudTrail logs from automated discovery.
C. Configure scheduled daily discovery jobs for all S3 buckets in the account.
D. Configure discovery jobs to include S3 objects that are tagged as production only.
E. Exclude S3 buckets that have public read access from automated discovery.

正解：A、B

解説：
To optimize the Macie costs for the account without compromising the account's functionality, the DevOps engineer needs to exclude S3 buckets that do not contain sensitive data from automated discovery. S3 buckets that contain CloudTrail logs are unlikely to have sensitive data, and Macie charges for scanning and monitoring data in S3 buckets. Therefore, excluding S3 buckets that contain CloudTrail logs from automated discovery can reduce Macie costs. Similarly, configuring discovery jobs to include S3 objects based on the last modified criterion can also reduce Macie costs, as it will only scan and monitor new or updated objects, rather than all objects in the bucket.

質問 # 249
A company has an application that stores data that includes personally Identifiable Information (Pll) In an Amazon S3 bucket All data Is encrypted with AWS Key Management Service (AWS KMS) customer managed keys. All AWS resources are deployed from an AWS Cloud Formation template.
A DevOps engineer needs to set up a development environment for the application in a different AWS account The data in the development environment's S3 bucket needs to be updated once a week from the production environment's S3 bucket.
The company must not move Pll from the production environment without anonymizmg the Pll first The data in each environment must be encrypted with different KMS customer managed keys.
Which combination of steps should the DevOps engineer take to meet these requirements? (Select TWO )

A. Create a development environment from the CloudFormation template in the development account. Schedule a cron job on an Amazon EC2 instance to run once a week to start the S3 Batch Operations job.
B. Set up S3 replication between the production S3 bucket and the development S3 bucket Activate Amazon Macie on the development S3 bucket Create an AWS Step Functions state machine to initiate a discovery job and redact all Pll as the files are copied to the development S3 bucket. Give the state machine tasks encrypt and decrypt permissions on the KMS key in the development account.
C. Activate Amazon Macie on the S3 bucket In the production account Create an AWS Step Functions state machine to initiate a discovery job and redact all Pll before copying files to the S3 bucket in the development account. Give the state machine tasks decrypt permissions on the KMS key in the production account. Give the state machine tasks encrypt permissions on the KMS key in the development account
D. Set up an S3 Batch Operations job to copy files from the production S3 bucket to the development S3 bucket. In the development account, configure anAWS Lambda function to redact all Pll. Configure S3 Object Lambda to use the Lambda function for S3 GET requests Give the Lambda function's 1AM role encrypt and decrypt permissions on the KMS key in the development account.
E. Create a development environment from the CloudFormatlon template in the development account. Schedule an Amazon EventBridge rule to start the AWS Step Functions state machine once a week

正解：C、E

解説：
Activate Amazon Macie on the Production S3 Bucket:
Macie can identify and protect sensitive data such as PII.
Create a Step Functions state machine to automate data discovery and redaction before copying it to the development environment.
Example Step Functions state machine:
{
"Comment": "Anonymize PII and copy data",
"StartAt": "MacieDiscoveryJob",
"States": {
"MacieDiscoveryJob": {
"Type": "Task",
"Resource": "arn:aws:states:::macie:startClassificationJob",
"End": true
}
}
}
Create a Development Environment from CloudFormation Template:
Deploy the development environment in a new account using the existing CloudFormation template.
Schedule an EventBridge rule to start the Step Functions state machine on a weekly basis.
EventBridge rule example:
{
"ScheduleExpression": "rate(7 days)",
"StateMachineArn": "arn:aws:states:<region>:<account-id>:stateMachine:AnonymizeAndCopyData"
}
By using Macie for data anonymization and Step Functions for automation, you ensure PII is properly handled before data transfer between environments.
References:
Amazon Macie
AWS Step Functions
AWS CloudFormation Templates

質問 # 250
A company has multiple development teams in different business units that work in a shared single AWS account All Amazon EC2 resources that are created in the account must include tags that specify who created the resources. The tagging must occur within the first hour of resource creation.
A DevOps engineer needs to add tags to the created resources that Include the user ID that created the resource and the cost center ID The DevOps engineer configures an AWS Lambda function With the cost center mappings to tag the resources. The DevOps engineer also sets up AWS CloudTrail in the AWS account. An Amazon S3 bucket stores the CloudTrail event logs Which solution will meet the tagging requirements?

A. Create a recurring hourly Amazon EventBridge scheduled rule that invokes the Larnbda function. Modify the Lambda function to read the logs from the S3 bucket
B. Enable server access logging on the S3 bucket. Create an S3 event notification on the S3 bucket for s3. ObjectTaggIng.* events
C. Create an Amazon EventBridge rule that uses Amazon EC2 as the event source. Configure the rule to match events delivered by CloudTraiI. Configure the rule to target the Lambda function
D. Create an S3 event notification on the S3 bucket to invoke the Lambda function for s3.ObJectTagging:Put events. Enable bucket versioning on the S3 bucket.

正解：C

解説：
Option A is incorrect because S3 event notifications do not support s3.ObjectTagging:Put events. S3 event notifications only support events related to object creation, deletion, replication, and restore. Moreover, enabling bucket versioning on the S3 bucket is not relevant to the tagging requirements, as it only keeps multiple versions of objects in the bucket.
Option B is incorrect because enabling server access logging on the S3 bucket does not help with tagging the resources. Server access logging only records requests for access to the bucket or its objects. It does not capture the user ID or the cost center ID of the resources. Furthermore, creating an S3 event notification on the S3 bucket for s3.ObjectTagging:Put events is not possible, as explained in option A.
Option C is incorrect because creating a recurring hourly Amazon EventBridge scheduled rule that invokes the Lambda function is not efficient or timely. The Lambda function would have to read the logs from the S3 bucket every hour and tag the resources accordingly, which could incur unnecessary costs and delays. A better solution would be to trigger the Lambda function as soon as a resource is created, rather than waiting for an hourly schedule.
Option D is correct because creating an Amazon EventBridge rule that uses Amazon EC2 as the event source and matches events delivered by CloudTrail is a valid way to tag the resources. CloudTrail records all API calls made to AWS services, including EC2, and delivers them as events to EventBridge. The EventBridge rule can filter the events based on the user ID and the resource type, and then target the Lambda function to tag the resources with the cost center ID. This solution meets the tagging requirements in a timely and efficient manner.
References:
S3 event notifications
Server access logging
Amazon EventBridge rules
AWS CloudTrail

質問 # 251
......

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