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Amazon DOP-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q399-Q404):

NEW QUESTION # 399
The company's DevOps engineer discovered that the errors were caused by RDS connection limits being reached. The DevOps engineer also discovered that more than 90% of the API requests are GET requests that read from the DB cluster.
How should the DevOps engineer solve this problem with the LEAST development effort?

A. Migrate from Amazon RDS to Amazon DynamoDB. Enable API caching in API Gateway.
B. Migrate from Amazon RDS to Amazon DynamoDB. Add an Amazon CloudFront distribution in front of the API Gateway REST API.
C. Add an Amazon RDS Proxy in front of the RDS database cluster. Provision an Amazon ElastiCache (Redis OSS) cluster.
D. Add a proxy from Amazon RDS Proxy in front of the RDS DB cluster. Enable API caching in API Gateway.

Answer: D

Explanation:
The root cause of the problem is that the RDS PostgreSQL instance is exceeding its database connection limit due to high volumes of concurrent GET requests. The most efficient and lowest-effort remediation is to reduce the number of connections that reach the database and serve as many reads as possible from a cache layer. Option B accomplishes both goals with minimal changes to the existing architecture.
First, RDS Proxy manages database connections efficiently by pooling and reusing them. This reduces connection churn and prevents the Lambda function from opening excessive concurrent connections during traffic spikes. RDS Proxy is natively integrated with RDS and requires only minor configuration changes without altering application logic.
Second, enabling API Gateway caching allows caching GET responses directly at the API layer. Because over
90% of requests are GET operations, enabling caching drastically reduces traffic hitting both Lambda and RDS, significantly improving performance and lowering connection pressure.
Option C also improves read scaling, but adding ElastiCache introduces additional infrastructure and requires modifying application code to query Redis before querying the database. This is more complex than enabling API Gateway caching. Options A and D require full database migration, which is far more labor-intensive.
Option B is the simplest, most effective, and most aligned with AWS best practices for reducing RDS connection saturation.

NEW QUESTION # 400
A large enterprise is deploying a web application on AWS. The application runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. The application stores data in an Amazon RDS for Oracle DB instance and Amazon DynamoDB.
There are separate environments tor development testing and production.
What is the MOST secure and flexible way to obtain password credentials during deployment?

A. Launch the EC2 instances with an EC2 1AM role to access AWS services Retrieve the database credentials from AWS Secrets Manager.
B. Retrieve an access key from an AWS Systems Manager securestring parameter to access AWS services.
Retrieve the database credentials from a Systems Manager SecureString parameter.
C. Retrieve an access key from an AWS Systems Manager plaintext parameter to access AWS services.
Retrieve the database credentials from a Systems Manager SecureString parameter.
D. Launch the EC2 instances with an EC2 1AM role to access AWS services Store the database passwords in an encrypted config file with the application artifacts.

Answer: A

Explanation:
Explanation
AWS Secrets Manager is a secrets management service that helps you protect access to your applications, services, and IT resources. This service enables you to easily rotate, manage, and retrieve database credentials, API keys, and other secrets throughout their lifecycle. Using Secrets Manager, you can secure and manage secrets used to access resources in the AWS Cloud, on third-party services, and on-premises. SSM parameter store and AWS Secret manager are both a secure option. However, Secrets manager is more flexible and has more options like password generation. Reference:
https://www.1strategy.com/blog/2019/02/28/aws-parameter-store-vs-aws-secrets-manager/

NEW QUESTION # 401
A company has containerized all of its in-house quality control applications. The company is running Jenkins on Amazon EC2 instances, which require patching and upgrading. The compliance officer has requested a DevOps engineer begin encrypting build artifacts since they contain company intellectual property.
What should the DevOps engineer do to accomplish this in the MOST maintainable manner?

A. Leverage AWS CodePipeline with a build action and encrypt the artifacts using AWS Secrets Manager.
B. Automate patching and upgrading using AWS Systems Manager on EC2 instances and encrypt Amazon EBS volumes by default.
C. Use AWS CodeBuild with artifact encryption to replace the Jenkins instance running on EC2 instances.
D. Deploy Jenkins to an Amazon ECS cluster and copy build artifacts to an Amazon S3 bucket with default encryption enabled.

Answer: C

Explanation:
The following are the steps involved in accomplishing this in the most maintainable manner:
Use AWS CodeBuild with artifact encryption to replace the Jenkins instance running on EC2 instances.
Configure CodeBuild to encrypt the build artifacts using AWS Secrets Manager.
Deploy the containerized quality control applications to CodeBuild.
This approach is the most maintainable because it eliminates the need to manage Jenkins on EC2 instances. CodeBuild is a managed service, so the DevOps engineer does not need to worry about patching or upgrading the service.
https://docs.aws.amazon.com/codebuild/latest/userguide/security-encryption.html
Build artifact encryption - CodeBuild requires access to an AWS KMS CMK in order to encrypt its build output artifacts. By default, CodeBuild uses an AWS Key Management Service CMK for Amazon S3 in your AWS account. If you do not want to use this CMK, you must create and configure a customer-managed CMK. For more information Creating keys.

NEW QUESTION # 402
A company uses AWS Organizations to manage multiple accounts. Information security policies require that all unencrypted Amazon EBS volumes be marked as non-compliant. A DevOps engineer needs to automatically deploy the solution and ensure that this compliance check is always present.
Which solution will accomplish this?

A. Create an AWS CloudFormation template that defines an AWS Inspector rule to check whether EBS encryption is enabled. Save the template to an Amazon S3 bucket that has been shared with all accounts within the company. Update the account creation script pointing to the CloudFormation template in Amazon S3.
B. Deploy an IAM role to all accounts from a single trusted account. Build a pipeline with AWS CodePipeline with a stage in AWS Lambda to assume the IAM role, and list all EBS volumes in the account. Publish a report to Amazon S3.
C. Create an SCP in Organizations. Set the policy to prevent the launch of Amazon EC2 instances without encryption on the EBS volumes using a conditional expression. Apply the SCP to all AWS accounts.
Use Amazon Athena to analyze the AWS CloudTrail output, looking for events that deny an ec2:
RunInstances action.
D. Create an AWS Config organizational rule to check whether EBS encryption is enabled and deploy the rule using the AWS CLI. Create and apply an SCP to prohibit stopping and deleting AWS Config across the organization.

Answer: D

Explanation:
Explanation
https://docs.aws.amazon.com/config/latest/developerguide/ec2-ebs-encryption-by-default.html

NEW QUESTION # 403
A company has a web application that publishes logs that contain metadata for transactions, with a status of success or failure for each log. The logs are in JSON format. The application publishes the logs to an Amazon CloudWatch Logs log group.
The company wants to create a dashboard that displays the number of successful transactions.
Which solution will meet this requirement with the LEAST operational overhead?

A. Create an Amazon OpenSearch Service cluster and an OpenSearch Service subscription filter to send the log group data to the cluster. Create a dashboard within the Dashboards feature in the OpenSearch Service cluster by using a search query for transactions that have a status of success.
B. Create a CloudWatch subscription filter for the log group that uses an AWS Lambda function.
Configure the Lambda function to parse the JSON logs and publish a custom metric to CloudWatch for transactions that have a status of success. Create a CloudWatch dashboard by using a metric graph that displays the custom metric.
C. Create a CloudWatch metric filter for the log groups with a filter pattern that matches the transaction status property and a value of success. Create a CloudWatch dashboard by using a metric graph that displays the new metric.
D. Create an Amazon Kinesis data stream that is subscribed to the log group. Configure the data stream to filter incoming log data based on a status of success and to send the filtered logs to an AWS Lambda function. Configure the Lambda function to publish a custom metric to CloudWatch. Create a CloudWatch dashboard by using a metric graph that displays the custom metric.

Answer: C

NEW QUESTION # 404
......

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