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Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Monitoring and Logging	15%	- Observability and metrics 1. CloudWatch monitoring and alarms 2. Log aggregation and analysis
Topic 2: Resilient Cloud Solutions	15%	- High availability and fault tolerance design 1. Multi-AZ and multi-region architectures 2. Disaster recovery strategies
Topic 3: Configuration Management and Infrastructure as Code	17%	- Infrastructure provisioning and automation 1. AWS CloudFormation and CDK usage 2. Configuration tools and automation strategies
Topic 4: SDLC Automation	22%	- CI/CD pipeline design and implementation 1. Build and deployment automation 2. Pipeline optimization and scaling
Topic 5: Incident and Event Management	18%	- Operational response and recovery 1. Automated event-driven responses 2. Incident detection and remediation
Topic 6: Security and Compliance Automation	13%	- Security automation in CI/CD and infrastructure 1. IAM policy automation and governance 2. Compliance monitoring and auditing

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q413-Q418):

NEW QUESTION # 413
A DevOps administrator is responsible for managing the security of a company ' s Amazon CloudWatch Logs log groups. The company's security policy states that employee IDs must not be visible in logs except by authorized personnel. Employee IDs follow the pattern of Emp-XXXXXX, where each X is a digit.
An audit discovered that employee IDs are found in a single log file. The log file is available to engineers, but the engineers are not authorized to view employee IDs. Engineers currently have an AWS IAM Identity Center permission that allows logs:* on all resources in the account.
The administrator must mask the employee ID so that new log entries that contain the employee ID are not visible to unauthorized personnel.
Which solution will meet these requirements with the MOST operational efficiency?

A. Create an Amazon Data Firehose delivery stream that has an Amazon S3 bucket as the destination.Create a Firehose subscription filter on the log group that uses the Firehose delivery stream. Remove the " logs:* " permission on the engineering accounts. Create an Amazon Macie job on the S3 bucket that has an Emp-\d{6} custom identifier.
B. Create a new data protection policy on the log group. Add an Emp-\d{6} custom data identifier configuration. Create an IAM policy that has a Deny action for the " Action " : " logs:Unmask " permission on the resource. Attach the policy to the engineering accounts.
C. Create a new data protection policy on the log group. Add managed data identifiers for the personal data category. Create an IAM policy that has a Deny action for the " NotAction " : " logs:Unmask " permission on the resource. Attach the policy to the engineering accounts.
D. Create an AWS Lambda function to parse a log file entry, remove the employee ID, and write the results to a new log file. Create a Lambda subscription filter on the log group and select the Lambda function. Grant the lambda:InvokeFunction permission to the log group.

Answer: B

Explanation:
Amazon CloudWatch Logs now supports data protection policies that can mask sensitive data in logs at ingestion time using custom data identifiers. By creating a custom data identifier matching the employee ID pattern (Emp-\d{6}), the administrator can mask those patterns in new log entries automatically.
Assigning an IAM policy that denies the logs:Unmask action to engineers prevents them from seeing unmasked sensitive data, enforcing least privilege access.
This approach is operationally efficient because it uses built-in CloudWatch Logs data protection capabilities without the need for complex custom code or manual log filtering.
Option C requires writing and managing Lambda functions for log transformation, increasing operational overhead. Option D is more complex and reactive rather than preventing the sensitive data exposure. Option B incorrectly references NotAction and managed identifiers that may not match the custom pattern.
Reference:
Amazon CloudWatch Logs Data Protection Policies: " You can create data protection policies with custom data identifiers to mask sensitive information such as employee IDs in log data. " (AWS Documentation on CloudWatch Logs Data Protection)

NEW QUESTION # 414
A company uses a single AWS account lo test applications on Amazon EC2 instances. The company has turned on AWS Config in the AWS account and has activated the restricted-ssh AWS Config managed rule.
The company needs an automated monitoring solution that will provide a customized notification in real time if any security group in the account is not compliant with the restricted-ssh rule. The customized notification must contain the name and ID of the noncompliant security group.
A DevOps engineer creates an Amazon Simple Notification Service (Amazon SNS) topic in the account and subscribes the appropriate personnel to the topic.
What should me DevOps engineer do next to meet these requirements?

A. Configure AWS Config to send all evaluation results for the restricted-ssh rule to the SNS topic. Configure a filter policy on the SNS topic to send only notifications that contain the text of NON_COMPLIANT in the notification to subscribers.
B. Create an Amazon EventBridge rule that matches an AWS Config evaluation result of NON_COMPLIANT tor the restricted-ssh rule. Configure an input transformer for the EventBridge rule Configure the EventBridge rule to publish a notification to the SNS topic.
C. Create an Amazon EventBridge rule that matches an AWS Config evaluation result of NON_COMPLlANT for the restricted-ssh rule Configure the EventBridge rule to invoke AWS Systems Manager Run Command on the SNS topic to customize a notification and to publish the notification to the SNS topic
D. Create an Amazon EventBridge rule that matches all AWS Config evaluation results of NON_COMPLIANT Configure an input transformer for the restricted-ssh rule Configure the EventBridge rule to publish a notification to the SNS topic.

Answer: B

Explanation:
Create an Amazon EventBridge (Amazon CloudWatch Events) rule that matches an AWS Config evaluation result of NON_COMPLIANT for the restricted-ssh rule. Configure an input transformer for the EventBridge (CloudWatch Events) rule. Configure the EventBridge (CloudWatch Events) rule to publish a notification to the SNS topic. This approach uses Amazon EventBridge (previously known as Amazon CloudWatch Events) to filter AWS Config evaluation results based on the restricted-ssh rule and its compliance status (NON_COMPLIANT). An input transformer can be used to customize the information contained in the notification, such as the name and ID of the noncompliant security group. The EventBridge (CloudWatch Events) rule can then be configured to publish a notification to the SNS topic, which will notify the appropriate personnel in real-time.

NEW QUESTION # 415
A company is running its ecommerce website on AWS. The website is currently hosted on a single Amazon EC2 instance in one Availability Zone. A MySQL database runs on the same EC2 instance. The company needs to eliminate single points of failure in the architecture to improve the website's availability and resilience. Which solution will meet these requirements with the LEAST configuration changes to the website?

A. Deploy the application by using AWS Fargate containers. Migrate the database to Amazon DynamoDB.
Use Amazon API Gateway to route requests.
B. Deploy the application on EC2 instances across multiple Availability Zones. Put the EC2 instances into an Auto Scaling group behind an Application Load Balancer. Migrate the database to Amazon Aurora Multi-AZ. Use Amazon CloudFront for content delivery.
C. Use AWS Elastic Beanstalk to deploy the application across multiple AWS Regions. Migrate the database to Amazon Redshift. Use Amazon ElastiCache for session management.
D. Migrate the application to AWS Lambda functions. Use Amazon S3 for static content hosting. Migrate the database to Amazon DocumentDB (with MongoDB compatibility).

Answer: B

NEW QUESTION # 416
An IT team has built an AWS CloudFormation template so others in the company can quickly and reliably deploy and terminate an application. The template creates an Amazon EC2 instance with a user data script to install the application and an Amazon S3 bucket that the application uses to serve static webpages while it is running.
All resources should be removed when the CloudFormation stack is deleted. However, the team observes that CloudFormation reports an error during stack deletion, and the S3 bucket created by the stack is not deleted.
How can the team resolve the error in the MOST efficient manner to ensure that all resources are deleted without errors?

A. Add a custom resource with an AWS Lambda function with the DependsOn attribute specifying the S3 bucket, and an IAM role. Write the Lambda function to delete all objects from the bucket when RequestType is Delete.
B. Add a DelelionPolicy attribute to the S3 bucket resource, with the value Delete forcing the bucket to be removed when the stack is deleted.
C. Identify the resource that was not deleted. Manually empty the S3 bucket and then delete it.
D. Replace the EC2 and S3 bucket resources with a single AWS OpsWorks Stacks resource. Define a custom recipe for the stack to create and delete the EC2 instance and the S3 bucket.

Answer: A

Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/cloudformation-s3-custom-resources/

NEW QUESTION # 417
A development team uses AWS CodeCommit, AWS CodePipeline, and AWS CodeBuild to develop and deploy an application. Changes to the code are submitted by pull requests. The development team reviews and merges the pull requests, and then the pipeline builds and tests the application.
Over time, the number of pull requests has increased. The pipeline is frequently blocked because of failing tests. To prevent this blockage, the development team wants to run the unit and integration tests on each pull request before it is merged.
Which solution will meet these requirements?

A. Create a CodeBuild project to run the unit and integration tests. Create a CodeCommit notification rule that matches when a pull request is created or updated. Configure the notification rule to invoke the CodeBuild project.
B. Create an Amazon EventBridge rule to match pullRequestCreated events from CodeCommit. Modify the existing CodePipeline pipeline to not run the deploy steps if the build is started from a pull request. Configure the EventBridge rule to run the pipeline with a custom payload that contains the CodeCommit repository and branch information from the event.
C. Create an Amazon EventBridge rule to match pullRequestCreated events from CodeCommit Create a CodeBuild project to run the unit and integration tests. Configure the CodeBuild project as a target of the EventBridge rule that includes a custom event payload with the CodeCommit repository and branch information from the event.
D. Create a CodeBuild project to run the unit and integration tests. Create a CodeCommit approval rule template. Configure the template to require the successful invocation of the CodeBuild project. Attach the approval rule to the project's CodeCommit repository.

Answer: C

Explanation:
CodeCommit generates events in CloudWatch, CloudWatch triggers the CodeBuild https://aws.amazon.com/es/blogs/devops/complete-ci-cd-with-aws-codecommit-aws-codebuild-aws-codedeploy-and-aws-codepipeline/

NEW QUESTION # 418
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