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Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Incident and Event Response	14%	- Manage incidents and outages 1. Troubleshoot complex issues 2. Document and learn from events 3. Coordinate response and recovery - Improve operational processes 1. Implement feedback loops 2. Optimize response time and efficiency 3. Update runbooks and playbooks - Automate event management 1. Automate common operational tasks 2. Classify and prioritize events 3. Integrate with ticketing and workflow systems
Topic 2: Resilient Cloud Solutions	15%	- Design high availability architectures 1. Implement auto scaling and load balancing 2. Multi-AZ and multi-region deployments 3. Use Route 53 for routing and failover - Ensure reliability and scalability 1. Optimize performance and cost 2. Design for fault tolerance 3. Manage capacity and elasticity - Implement disaster recovery 1. Backup and restore strategies 2. Test and validate recovery plans 3. Pilot light, warm standby, and active-active
Topic 3: Configuration Management and Infrastructure as Code	17%	- Manage infrastructure deployments 1. Manage multi-account and multi-region environments 2. Provision and update resources automatically 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. Use AWS Systems Manager, Ansible, or Puppet 3. Detect and remediate configuration drift
Topic 4: Security, Governance, and Compliance	17%	- Automate security and compliance 1. Integrate security into CI/CD pipelines 2. Use AWS Security Hub and AWS Shield 3. Detect and remediate violations automatically - Implement security controls 1. Secure secrets and credentials 2. Manage IAM for pipelines and environments 3. Encrypt data at rest and in transit - Enforce governance and compliance 1. Manage access and permissions at scale 2. Use AWS Config and AWS Organizations 3. Implement compliance rules and audits
Topic 5: SDLC Automation	22%	- Implement CI/CD pipelines 1. Automate build, test, and deployment stages 2. Integrate version control systems 3. Use AWS CodePipeline, CodeBuild, CodeDeploy - Automate software release processes 1. Automate rollback procedures 2. Manage artifacts and dependencies 3. Implement deployment strategies - Automate testing and validation 1. Automate quality gates 2. Unit, integration, and performance testing 3. Security and compliance testing
Topic 6: Monitoring and Logging	15%	- 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. Use Amazon CloudWatch for metrics and alarms 2. Create dashboards and insights 3. Monitor infrastructure, applications, and costs - Implement logging and analysis 1. Centralize logs with CloudWatch Logs 2. Use AWS X-Ray for tracing 3. Analyze logs for troubleshooting and security

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q279-Q284):

NEW QUESTION # 279
A company has a workflow that generates a file for each of the company ' s products and stores the files in a production environment Amazon S3 bucket. The company ' s users can access the S3 bucket.
Each file contains a product ID. Product IDs for products that have not been publicly announced are prefixed with a specific UUID. Product IDs are 12 characters long. IDs for products that have not been publicly announced begin with the letter P.
The company does not want information about products that have not been publicly announced to be available in the production environment S3 bucket.
Which solution will meet these requirements?

A. Create an Amazon Macie sensitive data discovery job with a managed data identifier. Remove all files that have a Macie finding from the production S3 bucket.
B. Create a new staging S3 bucket. Generate all files in the new staging bucket. Launch an Amazon Macie sensitive data discovery job with a managed data identifier. Copy all files that do not have a Macie finding to the production S3 bucket.
C. Create an Amazon Macie custom data identifier to identify product IDs in the production bucket that begin with the specific UUID. Launch an Amazon Macie sensitive data discovery job with the custom data identifier. Remove all files that have a Macie finding from the production S3 bucket.
D. Create a new staging S3 bucket. Generate all files in the new staging bucket. Create an Amazon Macie custom data identifier to identify product IDs in the new bucket that begin with the specific UUID.
Launch an Amazon Macie sensitive data discovery job with the custom data identifier. Copy all files that do not have a Macie finding to the production S3 bucket.

Answer: D

Explanation:
The requirement is to prevent any product files containing unannounced product IDs (prefixed with a specific UUID) from being stored in the production S3 bucket that users can access.
To achieve this, a best practice is to use a staging bucket as a control point before files go to production, combined with Amazon Macie's data classification capabilities.
* Creating a custom data identifier in Amazon Macie allows precise detection of product IDs starting with the specific UUID, which default managed identifiers will not detect.
* By running a Macie sensitive data discovery job on the staging bucket, you can identify files containing these sensitive product IDs.
* Only files without findings (i.e., files that do not contain unannounced product IDs) are copied to the production bucket, ensuring no sensitive information is exposed. This approach aligns with AWS best practices for data classification and staged deployment workflows, maximizing control and reducing risk. Using Macie on the production bucket directly (options B and D) risks exposing sensitive data before detection and deletion. Option C uses managed data identifiers, which will likely not detect the custom UUID prefix pattern.
Reference from AWS Official Documentation and Study Guide:
* Amazon Macie Custom Data Identifiers: " You can create custom data identifiers in Amazon Macie to find sensitive data that is unique to your organization. " (Amazon Macie User Guide)
* Data Security Best Practices: " Use staging environments to inspect and sanitize data before moving it to production to reduce exposure risks. " (AWS Security Best Practices)

NEW QUESTION # 280
A company uses an organization in AWS Organizations to manage multiple AWS accounts. The company needs a solution to detect sensitive information in Amazon S3 buckets in all the company's accounts. When the solution detects sensitive data, the solution must collect all the findings and make them available to the company's security officer in a single location. The solution must move S3 objects that contain sensitive information to a quarantine S3 bucket.
Which solutions will meet these requirements with the LEAST operational overhead? (Select TWO.)

A. Configure an AWS Lambda function to run when new objects are created or when existing objects are updated. Configure the Lambda function to determine whether objects contain sensitive data. Configure the function to move objects that contain sensitive data to a quarantine bucket and to delete the original objects.
B. Create an AWS Lambda function to copy S3 objects from S3 buckets to a dedicated quarantine bucket. Configure the Lambda function to delete copied objects from the original buckets. Configure an Amazon EventBridge rule to invoke the Lambda function in response to sensitive information findings from Amazon Macie.
C. Enable AWS Security Hub in the organization. Enable Amazon Macie for all the accounts in the organization. Configure Macie to send findings to Security Hub.
D. Configure SCPs to prevent the creation of S3 buckets and objects that contain suspected sensitive data. Configure the SCPs to move objects that are suspected to contain sensitive data to a dedicated quarantine S3 bucket.
E. Create an AWS Service Catalog product to provision S3 buckets. Configure Service Catalog to create a new S3 bucket. Configure S3 Event Notifications to send ObjectCreated events to an Amazon Simple Queue Service (Amazon SQS) queue.

Answer: B,C

Explanation:
The company requires an organization-wide, centralized, and automated solution to detect sensitive data in Amazon S3, aggregate findings in one location, and quarantine affected objects with minimal operational overhead. AWS provides a native service specifically designed for this purpose: Amazon Macie.
Option A is essential because Amazon Macie automatically discovers and classifies sensitive data such as PII in S3 buckets using managed machine learning models. When enabled at the organization level, Macie scans buckets across all accounts and Regions. Integrating Macie with AWS Security Hub centralizes all findings in a single dashboard, allowing the company's security officer to review and manage sensitive data alerts across the organization without building custom aggregation pipelines.
Detection alone is not sufficient; remediation is also required. Option C completes the solution by using Amazon EventBridge, which natively receives Macie findings in near real time. An EventBridge rule can trigger a Lambda function whenever Macie identifies sensitive data. The Lambda function can then copy the affected object to a quarantine S3 bucket and delete the original object, meeting the remediation requirement automatically and consistently.
Option D requires custom sensitive data detection logic, which is complex, error-prone, and unnecessary given Macie's capabilities. Option E is invalid because SCPs cannot inspect or move data. Option B does not detect sensitive information.
Therefore, A and C together provide the most efficient, scalable, and AWS-recommended solution.

NEW QUESTION # 281
A company has developed a serverless web application that is hosted on AWS. The application consists of Amazon S3. Amazon API Gateway, several AWS Lambda functions, and an Amazon RDS for MySQL database. The company is using AWS CodeCommit to store the source code. The source code is a combination of AWS Serverless Application Model (AWS SAM) templates and Python code.
A security audit and penetration test reveal that user names and passwords for authentication to the database are hardcoded within CodeCommit repositories. A DevOps engineer must implement a solution to automatically detect and prevent hardcoded secrets.
What is the MOST secure solution that meets these requirements?

A. Enable Amazon CodeGuru Profiler. Decorate the handler function with @with_lambda_profiler(). Manually review the recommendation report. Choose the option to protect the secret. Update the SAM templates and the Python code to pull the secret from AWS Secrets Manager.
B. Enable Amazon CodeGuru Profiler. Decorate the handler function with @with_lambda_profiler(). Manually review the recommendation report. Write the secret to AWS Systems Manager Parameter Store as a secure string. Update the SAM templates and the Python code to pull the secret from Parameter Store.
C. Associate the CodeCommit repository with Amazon CodeGuru Reviewer. Manually check the code review for any recommendations. Choose the option to protect the secret. Update the SAM templates and the Python code to pull the secret from AWS Secrets Manager.
D. Associate the CodeCommit repository with Amazon CodeGuru Reviewer. Manually check the code review for any recommendations. Write the secret to AWS Systems Manager Parameter Store as a string. Update the SAM templates and the Python code to pull the secret from Parameter Store.

Answer: C

NEW QUESTION # 282
A company has multiple accounts in an organization in AWS Organizations. The company's SecOps team needs to receive an Amazon Simple Notification Service (Amazon SNS) notification if any account in the organization turns off the Block Public Access feature on an Amazon S3 bucket. A DevOps engineer must implement this change without affecting the operation of any AWS accounts. The implementation must ensure that individual member accounts in the organization cannot turn off the notification.
Which solution will meet these requirements?

A. Designate an account to be the delegated Amazon GuardDuty administrator account. Turn on GuardDuty for all accounts across the organization. In the GuardDuty administrator account, create an SNS topic. Subscribe the SecOps team's email address to the SNS topic. In the same account, create an Amazon EventBridge rule that uses an event pattern for GuardDuty findings and a target of the SNS topic.
B. Create an AWS CloudFormation template that creates an SNS topic and subscribes the SecOps team's email address to the SNS topic. In the template, include an Amazon EventBridge rule that uses an event pattern of CloudTrail activity for s3:PutBucketPublicAccessBlock and a target of the SNS topic. Deploy the stack to every account in the organization by using CloudFormation StackSets.
C. Turn on AWS Config across the organization. In the delegated administrator account, create an SNS topic. Subscribe the SecOps team's email address to the SNS topic. Deploy a conformance pack that uses the s3-bucket-level-public-access-prohibited AWS Config managed rule in each account and uses an AWS Systems Manager document to publish an event to the SNS topic to notify the SecOps team.
D. Turn on Amazon Inspector across the organization. In the Amazon Inspector delegated administrator account, create an SNS topic. Subscribe the SecOps team's email address to the SNS topic. In the same account, create an Amazon EventBridge rule that uses an event pattern for public network exposure of the S3 bucket and publishes an event to the SNS topic to notify the SecOps team.

Answer: C

Explanation:
Explanation
Amazon GuardDuty is primarily on threat detection and response, not configuration monitoring A conformance pack is a collection of AWS Config rules and remediation actions that can be easily deployed as a single entity in an account and a Region or across an organization in AWS Organizations.
https://docs.aws.amazon.com/config/latest/developerguide/conformance-packs.html
https://docs.aws.amazon.com/config/latest/developerguide/s3-account-level-public-access-blocks.html

NEW QUESTION # 283
A company's DevOps engineer is creating an AWS Lambda function to process notifications from an Amazon Simple Notification Service (Amazon SNS) topic. The Lambda function will process the notification messages and will write the contents of the notification messages to an Amazon RDS Multi-AZ DB instance.
During testing a database administrator accidentally shut down the DB instance. While the database was down the company lost several of the SNS notification messages that were delivered during that time.
The DevOps engineer needs to prevent the loss of notification messages in the future Which solutions will meet this requirement? (Select TWO.)

A. Subscribe an Amazon Simple Queue Service (Amazon SQS) queue to the SNS topic Configure the Lambda function to process messages from the SQS queue.
B. Replace the RDS Multi-AZ DB instance with an Amazon DynamoDB table.
C. Replace the SNS topic with an Amazon EventBridge event bus Configure an EventBridge rule on the new event bus to invoke the Lambda function for each event.
D. Configure an Amazon Simple Queue Service (Amazon SQS) queue as a destination of the Lambda function.
E. Configure an Amazon Simple Queue Service (Amazon SQS> dead-letter queue for the SNS topic.

Answer: A,E

Explanation:
Explanation
These solutions will meet the requirement because they will prevent the loss of notification messages in the future. An Amazon SQS queue is a service that provides a reliable, scalable, and secure message queue for asynchronous communication between distributed components. You can use an SQS queue to buffer messages from an SNS topic and ensure that they are delivered and processed by a Lambda function, even if the function or the database is temporarily unavailable.
Option C will configure an SQS dead-letter queue for the SNS topic. A dead-letter queue is a queue that receives messages that could not be delivered to any subscriber after a specified number of retries. You can use a dead-letter queue to store and analyze failed messages, or to reprocess them later. This way, you can avoid losing messages that could not be delivered to the Lambda function due to network errors, throttling, or other issues.
Option D will subscribe an SQS queue to the SNS topic and configure the Lambda function to process messages from the SQS queue. This will decouple the SNS topic from the Lambda function and provide more flexibility and control over the message delivery and processing. You can use an SQS queue to store messages from the SNS topic until they are ready to be processed by the Lambda function, and also to retry processing in case of failures. This way, you can avoid losing messages that could not be processed by the Lambda function due to database errors, timeouts, or other issues.

NEW QUESTION # 284
......

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