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Amazon DOP-C02 Exam Syllabus Topics:

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

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최신 AWS Certified Professional DOP-C02 무료샘플문제 (Q343-Q348):

질문 # 343
A company has developed an AWS Lambda function that handles orders received through an API. The company is using AWS CodeDeploy to deploy the Lambda function as the final stage of a CI/CD pipeline.
A DevOps engineer has noticed there are intermittent failures of the ordering API for a few seconds after deployment. After some investigation the DevOps engineer believes the failures are due to database changes not having fully propagated before the Lambda function is invoked How should the DevOps engineer overcome this?

A. Add an AfterAlIowTraffic hook to the AppSpec file that forces traffic to wait for any pending database changes before allowing the new version of the Lambda function to respond.
B. Add a BeforeAllowTraffic hook to the AppSpec file that tests and waits for any necessary database changes before deploying the new version of the Lambda function.
C. Add a validateServicehook to the AppSpec file that inspects incoming traffic and rejects the payload if dependent services such as the database are not yet ready.
D. Add a BeforeAllowTraffic hook to the AppSpec file that tests and waits for any necessary database changes before traffic can flow to the new version of the Lambda function.

정답：D

설명：
https://docs.aws.amazon.com/codedeploy/latest/userguide/reference-appspec-file-structure-hooks.
html#appspec-hooks-lambda

질문 # 344
A company has a single developer writing code for an automated deployment pipeline. The developer is storing source code in an Amazon S3 bucket for each project. The company wants to add more developers to the team but is concerned about code conflicts and lost work The company also wants to build a test environment to deploy newer versions of code for testing and allow developers to automatically deploy to both environments when code is changed in the repository.
What is the MOST efficient way to meet these requirements?

A. Create an AWS CodeCommit repository for each project, and use the main branch for production and test code with different deployment pipelines for each environment Use feature branches to develop new features.
B. Create an AWS CodeCommit repository tor each project, use the mam branch for production code: and create a testing branch for code deployed to testing Use feature branches to develop new features and pull requests to merge code to testing and main branches.
C. Create another S3 bucket for each project for testing code, and use an AWS Lambda function to promote code changes between testing and production buckets Enable versioning on all buckets to prevent code conflicts.
D. Enable versioning and branching on each S3 bucket, use the main branch for production code, and create a testing branch for code deployed to testing. Have developers use each branch for developing in each environment.

정답：B

설명：
Creating an AWS CodeCommit repository for each project, using the main branch for production code, and creating a testing branch for code deployed to testing will meet the requirements. AWS CodeCommit is a managed revision control service that hosts Git repositories and works with all Git-based tools1. By using feature branches to develop new features and pull requests to merge code to testing and main branches, the developers can avoid code conflicts and lost work, and also implement code reviews and approvals. Option B is incorrect because creating another S3 bucket for each project for testing code and using an AWS Lambda function to promote code changes between testing and production buckets will not provide the benefits of revision control, such as tracking changes, branching, merging, and collaborating. Option C is incorrect because using the main branch for production and test code with different deployment pipelines for each environment will not allow the developers to test their code changes before deploying them to production.
Option D is incorrect because enabling versioning and branching on each S3 bucket will not work with Git- based tools and will not provide the same level of revision control as AWS CodeCommit. References:
* AWS CodeCommit
* Certified DevOps Engineer - Professional (DOP-C02) Study Guide (page 182)

질문 # 345
A company releases a new application in a new AWS account. The application includes an AWS Lambda function that processes messages from an Amazon Simple Queue Service (Amazon SOS) standard queue. The Lambda function stores the results in an Amazon S3 bucket for further downstream processing. The Lambda function needs to process the messages within a specific period of time after the messages are published. The Lambda function has a batch size of 10 messages and takes a few seconds to process a batch of messages.
As load increases on the application's first day of service, messages in the queue accumulate at a greater rate than the Lambda function can process the messages. Some messages miss the required processing timelines. The logs show that many messages in the queue have data that is not valid. The company needs to meet the timeline requirements for messages that have valid data.
Which solution will meet these requirements?

A. Increase the Lambda function's batch size. Change the SOS standard queue to an SOS FIFO queue. Request a Lambda concurrency increase in the AWS Region.
B. Increase the Lambda function's batch size. Configure S3 Transfer Acceleration on the S3 bucket. Configure an SOS dead-letter queue.
C. Keep the Lambda function's batch size the same. Configure the Lambda function to report failed batch items. Configure an SOS dead-letter queue.
D. Reduce the Lambda function's batch size. Increase the SOS message throughput quota. Request a Lambda concurrency increase in the AWS Region.

정답：C

설명：
Step 1: Handling Invalid Data with Failed Batch ItemsThe Lambda function is processing batches of messages, and some messages contain invalid data, causing processing delays. Lambda provides the capability to report failed batch items, which allows valid messages to be processed while skipping invalid ones. This functionality ensures that the valid messages are processed within the required timeline.
Action: Keep the Lambda function's batch size the same and configure it to report failed batch items.
Why: By reporting failed batch items, the Lambda function can skip invalid messages and continue processing valid ones, ensuring that they meet the processing timeline.
Reference:
Step 2: Using an SQS Dead-Letter Queue (DLQ)Configuring a dead-letter queue (DLQ) for SQS will ensure that messages with invalid data, or those that cannot be processed successfully, are moved to the DLQ. This prevents such messages from clogging the queue and allows the system to focus on processing valid messages.
Action: Configure an SQS dead-letter queue for the main queue.
Why: A DLQ helps isolate problematic messages, preventing them from continuously reappearing in the queue and causing processing delays for valid messages.
Step 3: Maintaining the Lambda Function's Batch SizeKeeping the current batch size allows the Lambda function to continue processing multiple messages at once. By addressing the failed items separately, there's no need to increase or reduce the batch size.
Action: Maintain the Lambda function's current batch size.
Why: Changing the batch size is unnecessary if the invalid messages are properly handled by reporting failed items and using a DLQ.
This corresponds to Option D: Keep the Lambda function's batch size the same. Configure the Lambda function to report failed batch items. Configure an SQS dead-letter queue.

질문 # 346
An ecommerce company has chosen AWS to host its new platform. The company's DevOps team has started building an AWS Control Tower landing zone. The DevOps team has set the identity store within AWS IAM Identity Center (AWS Single Sign-On) to external identity provider (IdP) and has configured SAML 2.0.
The DevOps team wants a robust permission model that applies the principle of least privilege. The model must allow the team to build and manage only the team's own resources.
Which combination of steps will meet these requirements? (Choose three.)

A. Enable attributes for access control in IAM Identity Center. Map attributes from the IdP as key-value pairs.
B. Create a group in the IdP. Place users in the group. Assign the group to OUs and IAM policies.
C. Create a group in the IdP. Place users in the group. Assign the group to accounts and the permission sets in IAM Identity Center.
D. Enable attributes for access control in IAM Identity Center. Apply tags to users. Map the tags as key-value pairs.
E. Create IAM policies that include the required permissions. Include the aws:PrincipalTag condition key.
F. Create permission sets. Attach an inline policy that includes the required permissions and uses the aws:PrincipalTag condition key to scope the permissions.

정답：A,C,F

설명：
Explanation
Using the principalTag in the Permission Set inline policy a logged in user belonging to a specific AD group in the IDP can be permitted access to perform operations on certain resources if their group matches the group used in the PrincipleTag. Basically you are narrowing the scope of privileges assigned via Permission policies conditionally based on whether the logged in user belongs to a specific AD Group in IDP. The mapping of the AD group to the request attributes can be done using SSO attributes where we can pass other attributes like the SAML token as well.
https://docs.aws.amazon.com/singlesignon/latest/userguide/abac.html

질문 # 347
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. 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
B. 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.
C. 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.
D. 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
E. 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 an AWS 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.

정답：A,D

설명：
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.
Reference:
Amazon Macie
AWS Step Functions
AWS CloudFormation Templates

질문 # 348
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Amazon DOP-C02 Exam Syllabus Topics:

최신 업데이트버전 DOP-C02인기자격증 덤프공부자료 인증시험자료

최신 AWS Certified Professional DOP-C02 무료샘플문제 (Q343-Q348):