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Amazon DOP-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q317-Q322):

NEW QUESTION # 317
A company uses Amazon Redshift as its data warehouse solution. The company wants to create a dashboard to view changes to the Redshift users and the queries the users perform.
Which combination of steps will meet this requirement? (Select TWO.)

A. Configure the Redshift cluster database audit logging to include user activity logs. Configure Amazon CloudWatch as the target.
B. Create a new Amazon S3 bucket. Configure default audit logging on the Redshift cluster. Configure the S3 bucket as the target.
C. Create an AWS Lambda function that uses Amazon Athena to query the Redshift logs. Create an Amazon CloudWatch dashboard that has a custom widget type that uses the Lambda function.
D. Create an Amazon CloudWatch log group. Create an AWS CloudTrail trail that writes to the CloudWatch log group.
E. Create an Amazon CloudWatch dashboard that has a log widget. Configure the widget to display user details from the Redshift logs.

Answer: B,E

Explanation:
Amazon Redshift supports audit logging which can be configured to log user activity, including queries and user changes. The logs can be delivered to an S3 bucket (Option B), which is the standard location for Redshift audit logs.
While Redshift can send some logs to CloudWatch, the native audit logging is typically routed to S3. Creating a CloudWatch dashboard with a log widget (Option D) allows visualization of user activities from logs ingested into CloudWatch Logs or through custom processing.
Option A is invalid because CloudTrail does not capture Redshift query logs directly. Option C incorrectly assumes Redshift audit logs can be delivered directly to CloudWatch. Option E adds complexity by requiring Lambda and Athena unnecessarily when direct visualization in CloudWatch is simpler.
References:
Amazon Redshift Audit Logging
Visualizing Logs with Amazon CloudWatch Dashboards

NEW QUESTION # 318
A company has an application that runs on AWS Lambda and sends logs to Amazon CloudWatch Logs. An Amazon Kinesis data stream is subscribed to the log groups in CloudWatch Logs. A single consumer Lambda function processes the logs from the data stream and stores the logs in an Amazon S3 bucket.
The company's DevOps team has noticed high latency during the processing and ingestion of some logs.
Which combination of steps will reduce the latency? (Select THREE.)

A. Configure reserved concurrency for the Lambda function that processes the logs.
Increase the batch size in the Kinesis data stream.
B. Increase the ParallelizationFactor setting in the Lambda event source mapping.
C. Turn off the ReportBatchltemFailures setting in the Lambda event source mapping.Increase the number of shards in the Kinesis data stream.
D. Create a data stream consumer with enhanced fan-out. Set the Lambda function that processes the logs as the consumer.

Answer: A,B,D

Explanation:
The latency in processing and ingesting logs can be caused by several factors, such as the throughput of the Kinesis data stream, the concurrency of the Lambda function, and the configuration of the event source mapping. To reduce the latency, the following steps can be taken:
Create a data stream consumer with enhanced fan-out. Set the Lambda function that processes the logs as the consumer. This will allow the Lambda function to receive records from the data stream with dedicated throughput of up to 2 MB per second per shard, independent of other consumers1. This will reduce the contention and delay in accessing the data stream.
Increase the ParallelizationFactor setting in the Lambda event source mapping. This will allow the Lambda service to invoke more instances of the function concurrently to process the records from the data stream2. This will increase the processing capacity and reduce the backlog of records in the data stream.
Configure reserved concurrency for the Lambda function that processes the logs. This will ensure that the function has enough concurrency available to handle the increased load from the data stream3. This will prevent the function from being throttled by the account-level concurrency limit.
The other options are not effective or may have negative impacts on the latency. Option D is not suitable because increasing the batch size in the Kinesis data stream will increase the amount of data that the Lambda function has to process in each invocation, which may increase the execution time and latency4. Option E is not advisable because turning off the ReportBatchItemFailures setting in the Lambda event source mapping will prevent the Lambda service from retrying the failed records, which may result in data loss. Option F is not necessary because increasing the number of shards in the Kinesis data stream will increase the throughput of the data stream, but it will not affect the processing speed of the Lambda function, which is the bottleneck in this scenario.
Reference:
1: Using AWS Lambda with Amazon Kinesis Data Streams - AWS Lambda
2: AWS Lambda event source mappings - AWS Lambda
3: Managing concurrency for a Lambda function - AWS Lambda
4: AWS Lambda function scaling - AWS Lambda
5: AWS Lambda event source mappings - AWS Lambda
6: Scaling Amazon Kinesis Data Streams with AWS CloudFormation - Amazon Kinesis Data Streams

NEW QUESTION # 319
A DevOps engineer has automated a web service deployment by using AWS CodePipeline with the following steps:
1) An AWS CodeBuild project compiles the deployment artifact and runs unit tests.
2) An AWS CodeDeploy deployment group deploys the web service to Amazon EC2 instances in the staging environment.
3) A CodeDeploy deployment group deploys the web service to EC2 instances in the production environment.
The quality assurance (QA) team requests permission to inspect the build artifact before the deployment to the production environment occurs. The QA team wants to run an internal penetration testing tool to conduct manual tests. The tool will be invoked by a REST API call.
Which combination of actions should the DevOps engineer take to fulfill this request? (Choose two.)

A. Modify the buildspec.yml file for the compilation stage to require manual approval before completion.
B. Insert a manual approval action between the test actions and deployment actions of the pipeline.
C. Update the CodeDeploy deployment groups so that they require manual approval to proceed.
D. Update the pipeline to invoke an AWS Lambda function that calls the REST API for the penetration testing tool.
E. Update the pipeline to directly call the REST API for the penetration testing tool.

Answer: B,D

NEW QUESTION # 320
A company has an organization in AWS Organizations. A DevOps engineer needs to maintain multiple AWS accounts that belong to different OUs in the organization. All resources, including 1AM policies and Amazon S3 policies within an account, are deployed through AWS CloudFormation. All templates and code are maintained in an AWS CodeCommit repository Recently, some developers have not been able to access an S3 bucket from some accounts in the organization.
The following policy is attached to the S3 bucket.

What should the DevOps engineer do to resolve this access issue?

A. Verify that no 1AM permissions boundaries are denying developers access to the S3 bucket Make the necessary changes to IAM permissions boundaries. Use an AWS Config recorder in the individual developer accounts that are experiencing the issue to revert any changes that are blocking access. Commit the fix back into the CodeCommit repository. Invoke deployment through Cloud Formation to apply the changes.
B. Configure an SCP that stops anyone from modifying 1AM resources in developer OUs. In the S3 policy, add the awsSourceAccount condition. Add the AWS account IDs of all developers who are experiencing the issue Commit the fix back into the CodeCommit repository Invoke deployment through CloudFormation to apply the changes
C. Ensure that no SCP is blocking access for developers to the S3 bucket Ensure that no 1AM policy permissions boundaries are denying access to developer 1AM users Make the necessary changes to the SCP and 1AM policy permissions boundaries in the CodeCommit repository Invoke deployment through CloudFormation to apply the changes
D. Modify the S3 bucket policy Turn off the S3 Block Public Access setting on the S3 bucket In the S3 policy, add the awsSourceAccount condition. Add the AWS account IDs of all developers who are experiencing the issue.

Answer: C

Explanation:
Verify No SCP Blocking Access:
Ensure that no Service Control Policy (SCP) is blocking access for developers to the S3 bucket. SCPs are applied at the organization or organizational unit (OU) level in AWS Organizations and can restrict what actions users and roles in the affected accounts can perform.
Verify No IAM Policy Permissions Boundaries Blocking Access:
IAM permissions boundaries can limit the maximum permissions that a user or role can have. Verify that these boundaries are not restricting access to the S3 bucket.
Make Necessary Changes to SCP and IAM Policy Permissions Boundaries:
Adjust the SCPs and IAM permissions boundaries if they are found to be the cause of the access issue. Make sure these changes are reflected in the code maintained in the AWS CodeCommit repository.
Invoke Deployment Through CloudFormation:
Commit the updated policies to the CodeCommit repository.
Use AWS CloudFormation to deploy the changes across the relevant accounts and resources to ensure that the updated permissions are applied consistently.
By ensuring no SCPs or IAM policy permissions boundaries are blocking access and making necessary changes if they are, the DevOps engineer can resolve the access issue for developers trying to access the S3 bucket.
Reference:
AWS SCPs
IAM Permissions Boundaries
Deploying CloudFormation Templates

NEW QUESTION # 321
A DevOps engineer is building a multistage pipeline with AWS CodePipeline to build, verify, stage, test, and deploy an application. A manual approval stage is required between the test stage and the deploy stage. The development team uses a custom chat tool with webhook support that requires near-real-time notifications.
How should the DevOps engineer configure status updates for pipeline activity and approval requests to post to the chat tool?

A. Create an Amazon EventBridge rule that filters on CodePipeline Pipeline Execution State Change. Publish the events to an Amazon Simple Notification Service (Amazon SNS) topic. Create an AWS Lambda function that sends event details to the chat webhook URL. Subscribe the function to the SNS topic.
B. Modify the pipeline code to send the event details to the chat webhook URL at the end of each stage. Parameterize the URL so that each pipeline can send to a different URL based on the pipeline environment.
C. Create an Amazon CloudWatch Logs subscription that filters on CodePipeline Pipeline Execution State Change. Publish subscription events to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the chat webhook URL to the SNS topic, and complete the subscription validation.
D. Create an AWS Lambda function that is invoked by AWS CloudTrail events. When a CodePipeline Pipeline Execution State Change event is detected, send the event details to the chat webhook URL.

Answer: A

Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/sns-lambda-webhooks-chime-slack-teams/

NEW QUESTION # 322
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