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Amazon DOP-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q382-Q387):

NEW QUESTION # 382
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 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.
B. 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.
C. 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.
D. 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.

Answer: D

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

NEW QUESTION # 383
A developer is maintaining a fleet of 50 Amazon EC2 Linux servers. The servers are part of an Amazon EC2 Auto Scaling group, and also use Elastic Load Balancing for load balancing.
Occasionally, some application servers are being terminated after failing ELB HTTP health checks. The developer would like to perform a root cause analysis on the issue, but before being able to access application logs, the server is terminated.
How can log collection be automated?

A. Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an AWS Config rule for EC2 Instance-terminate Lifecycle Action and trigger a step function that invokes a script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.
B. Use Auto Scaling lifecycle hooks to put instances in a Pending:Wait state. Create an Amazon CloudWatch alarm for EC2 Instance Terminate Successful and trigger an AWS Lambda function that invokes an SSM Run Command script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.
C. Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an Amazon EventBridge rule for EC2 Instance-terminate Lifecycle Action and trigger an AWS Lambda function that invokes an SSM Run Command script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.
D. Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an Amazon CloudWatch subscription filter for EC2 Instance Terminate Successful and trigger a CloudWatch agent that invokes a script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.

Answer: C

Explanation:
https://blog.fourninecloud.com/auto-scaling-lifecycle-hooks-to-export-server-logs-when-instance-terminating-
58e06d7c0d6a

NEW QUESTION # 384
A company detects unusual login attempts in many of its AWS accounts. A DevOps engineer must implement a solution that sends a notification to the company's security team when multiple failed login attempts occur.
The DevOps engineer has already created an Amazon Simple Notification Service (Amazon SNS) topic and has subscribed the security team to the SNS topic.
Which solution will provide the notification with the LEAST operational effort?

A. Configure AWS CloudTrail to send log data events to an Amazon S3 bucket. Configure an Amazon S3 event notification for the s3:ObjectCreated event type. Filter the event type by ConsoleLogin failed events. Configure the event notification to forward to the SNS topic.
B. Configure AWS CloudTrail to send log management events to an Amazon S3 bucket. Create an Amazon Athena query that returns a failure if the query finds failed logins in the logs in the S3 bucket.
Create an Amazon EventBridge rule to periodically run the query. Create a second EventBridge rule to detect when the query fails and to send a message to the SNS topic.
C. Configure AWS CloudTrail to send log data events to an Amazon CloudWatch Logs log group. Create a CloudWatch logs metric filter to match failed Consolel_ogin events. Create a CloudWatch alarm that is based on the metric filter. Configure an alarm action to send messages to the SNS topic.
D. Configure AWS CloudTrail to send log management events to an Amazon CloudWatch Logs log group.
Create a CloudWatch Logs metric filter to match failed ConsoleLogin events. Create a CloudWatch alarm that is based on the metric filter. Configure an alarm action to send messages to the SNS topic.

Answer: C

Explanation:
Explanation
The correct answer is C. Configuring AWS CloudTrail to send log data events to an Amazon CloudWatch Logs log group and creating a CloudWatch logs metric filter to match failed ConsoleLogin events is the simplest and most efficient way to monitor and alert on failed login attempts. Creating a CloudWatch alarm that is based on the metric filter and configuring an alarm action to send messages to the SNS topic will ensure that the security team is notified when multiple failed login attempts occur. This solution requires the least operational effort compared to the other options.
Option A is incorrect because it involves configuring AWS CloudTrail to send log management events instead of log data events. Log management events are used to track changes to CloudTrail configuration, such as creating, updating, or deleting a trail. Log data events are used to track API activity in AWS accounts, such as login attempts. Therefore, option A will not capture the failed ConsoleLogin events.
Option B is incorrect because it involves creating an Amazon Athena query and two Amazon EventBridge rules to monitor and alert on failed login attempts. This is a more complex and costly solution than using CloudWatch logs and alarms. Moreover, option B relies on the query returning a failure, which may not happen if the query is executed successfully but does not find any failed logins.
Option D is incorrect because it involves configuring AWS CloudTrail to send log data events to an Amazon S3 bucket and configuring an Amazon S3 event notification for the s3:ObjectCreated event type. This solution will not work because the s3:ObjectCreated event type does not allow filtering by ConsoleLogin failed events.
The event notification will be triggered for any object created in the S3 bucket, regardless of the event type.
Therefore, option D will generate a lot of false positives and unnecessary notifications.
References:
* AWS CloudTrail Log File Examples
* Creating CloudWatch Alarms for CloudTrail Events: Examples
* Monitoring CloudTrail Log Files with Amazon CloudWatch Logs

NEW QUESTION # 385
A company has an application that is using a MySQL-compatible Amazon Aurora Multi-AZ DB cluster as the database. A cross-Region read replica has been created for disaster recovery purposes. A DevOps engineer wants to automate the promotion of the replica so it becomes the primary database instance in the event of a failure.
Which solution will accomplish this?

A. Configure a latency-based Amazon Route 53 CNAME with health checks so it points to both the primary and replica endpoints. Subscribe an Amazon SNS topic to Amazon RDS failure notifications from AWS CloudTrail and use that topic to invoke an AWS Lambda function that will promote the replica instance as the primary.
B. Create an Aurora custom endpoint to point to the primary database instance. Configure the application to use this endpoint. Configure AWS CloudTrail to run an AWS Lambda function to promote the replica instance and modify the custom endpoint to point to the newly promoted instance.
C. Store the Aurora endpoint in AWS Systems Manager Parameter Store. Create an Amazon EventBridge event that detects the database failure and runs an AWS Lambda function to promote the replica instance and update the endpoint URL stored in AWS Systems Manager Parameter Store. Code the application to reload the endpoint from Parameter Store if a database connection fails.
D. Create an AWS Lambda function to modify the application's AWS CloudFormation template to promote the replica, apply the template to update the stack, and point the application to the newly promoted instance. Create an Amazon CloudWatch alarm to invoke this Lambda function after the failure event occurs.

Answer: C

NEW QUESTION # 386
A company uses an AWS CodeCommit repository to store its source code and corresponding unit tests. The company has configured an AWS CodePipeline pipeline that includes an AWS CodeBuild project that runs when code is merged to the main branch of the repository.
The company wants the CodeBuild project to run the unit tests. If the unit tests pass, the CodeBuild project must tag the most recent commit.
How should the company configure the CodeBuild project to meet these requirements?

A. Configure the CodeBuild project to use AWS CLI commands to copy the code from the CodeCommit repository. Configure the project lo run the unit tests. Configure the project to use AWS CLI commands to create a new Git tag in the repository if the code passes the unit tests.
B. Configure the CodeBuild project to use native Git to clone the CodeCommit repository. Configure the project to run the unit tests. Configure the project to use native Git to create a tag and to push the Git tag to the repository if the code passes the unit tests.
C. Configure the CodeBuild project to use native Git to clone the CodeCommit repository. Configure the project to run the unit tests. Configure the project to use AWS CLI commands to create a new repository tag in the repository if the code passes the unit tests.
D. Configure the CodeBuild project to use AWS CLI commands to copy the code from the CodeCommit repository. Configure the project to run the unit tests. Configure the project to use AWS CLI commands to create a new repository tag in the repository if the code passes the unit tests.

Answer: B

Explanation:
Step 1: Using Native Git in CodeBuildTo meet the requirement of running unit tests and tagging the most recent commit if the tests pass, the CodeBuild project should be configured to use native Git to clone the CodeCommit repository. Native Git support allows full functionality for managing the repository, including the ability to create and push tags.
Action: Configure the CodeBuild project to use native Git to clone the repository and run the tests.
Why: Using native Git provides flexibility for managing tags and other repository operations after the tests are successfully executed.
Step 2: Tagging the Most Recent CommitOnce the unit tests pass, the CodeBuild project can use native Git to create a tag for the most recent commit and push that tag to the repository. This ensures that the tagged commit is linked to the test results.
Action: Configure the project to use native Git to create and push a tag to the repository if the tests pass.
Why: This ensures the correct commit is tagged automatically, streamlining the workflow.
Reference: AWS documentation on AWS CodeBuild and Git integration.
This corresponds to Option A: Configure the CodeBuild project to use native Git to clone the CodeCommit repository. Configure the project to run the unit tests. Configure the project to use native Git to create a tag and to push the Git tag to the repository if the code passes the unit tests.

NEW QUESTION # 387
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