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Amazon DOP-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q175-Q180):

NEW QUESTION # 175
A company is running an application on Amazon EC2 instances in an Auto Scaling group. Recently an issue occurred that prevented EC2 instances from launching successfully and it took several hours for the support team to discover the issue. The support team wants to be notified by email whenever an EC2 instance does not start successfully.
Which action will accomplish this?

A. Create a status check alarm on Amazon EC2 to send a notification to an Amazon SNS topic whenever a status check fail occurs.
B. Create an Amazon CloudWatch alarm that invokes an AWS Lambda function when a failed Attachinstances Auto Scaling API call is made.
C. Configure the Auto Scaling group to send a notification to an Amazon SNS topic whenever a failed instance launch occurs.
D. Add a health check to the Auto Scaling group to invoke an AWS Lambda function whenever an instance status is impaired.

Answer: C

Explanation:
Explanation
https://docs.aws.amazon.com/autoscaling/ec2/userguide/ASGettingNotifications.html#auto-scaling-sns-notificati

NEW QUESTION # 176
A company builds a container image in an AWS CodeBuild project by running Docker commands. After the container image is built, the CodeBuild project uploads the container image to an Amazon S3 bucket. The CodeBuild project has an 1AM service role that has permissions to access the S3 bucket.
A DevOps engineer needs to replace the S3 bucket with an Amazon Elastic Container Registry (Amazon ECR) repository to store the container images. The DevOps engineer creates an ECR private image repository in the same AWS Region of the CodeBuild project. The DevOps engineer adjusts the 1AM service role with the permissions that are necessary to work with the new ECR repository. The DevOps engineer also places new repository information into the docker build command and the docker push command that are used in the buildspec.yml file.
When the CodeBuild project runs a build job, the job fails when the job tries to access the ECR repository.
Which solution will resolve the issue of failed access to the ECR repository?

A. Update the buildspec.yml file to use the AWS CLI to assume the 1AM service role for ECR operations. Add an ECR repository policy that allows the 1AM service role to have access.
B. Update the buildspec.yml file to log in to the ECR repository by using the aws ecr get-login-password AWS CLI command to obtain an authentication token. Update the docker login command to use the authentication token to access the ECR repository.
C. Add an environment variable of type SECRETS_MANAGER to the CodeBuild project. In the environment variable, include the ARN of the CodeBuild project's lAM service role. Update the buildspec.yml file to use the new environment variable to log in with the docker login command to access the ECR repository.
D. Update the ECR repository to be a public image repository. Add an ECR repository policy that allows the 1AM service role to have access.

Answer: B

NEW QUESTION # 177
A company that runs many workloads on AWS has an Amazon EBS spend that has increased over time. The DevOps team notices there are many unattached EBS volumes. Although there are workloads where volumes are detached, volumes over 14 days old are stale and no longer needed. A DevOps engineer has been tasked with creating automation that deletes unattached EBS volumes that have been unattached for 14 days.
Which solution will accomplish this?

A. Create an Amazon CloudWatch Events rule to execute an AWS Lambda function daily. The Lambda function should find unattached EBS volumes and tag them with the current date, and delete unattached volumes that have tags with dates that are more than 14 days old.
B. Use Amazon EC2 and Amazon Data Lifecycle Manager to configure a volume lifecycle policy. Set the interval period for unattached EBS volumes to 14 days and set the retention rule to delete. Set the policy target volumes as *.
C. Use AWS Trusted Advisor to detect EBS volumes that have been detached for more than 14 days. Execute an AWS Lambda function that creates a snapshot and then deletes the EBS volume.
D. Configure the AWS Config ec2-volume-inuse-check managed rule with a configuration changes trigger type and an Amazon EC2 volume resource target. Create a new Amazon CloudWatch Events rule scheduled to execute an AWS Lambda function in 14 days to delete the specified EBS volume.

Answer: A

Explanation:
The requirement is to create automation that deletes unattached EBS volumes that have been unattached for 14 days. To do this, the DevOps engineer needs to use the following steps:
Create an Amazon CloudWatch Events rule to execute an AWS Lambda function daily. CloudWatch Events is a service that enables event-driven architectures by delivering events from various sources to targets. Lambda is a service that lets you run code without provisioning or managing servers. By creating a CloudWatch Events rule that executes a Lambda function daily, the DevOps engineer can schedule a recurring task to check and delete unattached EBS volumes.
The Lambda function should find unattached EBS volumes and tag them with the current date, and delete unattached volumes that have tags with dates that are more than 14 days old. The Lambda function can use the EC2 API to list and filter unattached EBS volumes based on their state and tags. The function can then tag each unattached volume with the current date using the create-tags command. The function can also compare the tag value with the current date and delete any unattached volume that has been tagged more than 14 days ago using the delete-volume command.

NEW QUESTION # 178
A company has an organization in AWS Organizations for its multi-account environment. A DevOps engineer is developing an AWS CodeArtifact based strategy for application package management across the organization. Each application team at the company has its own account in the organization. Each application team also has limited access to a centralized shared services account.
Each application team needs full access to download, publish, and grant access to its own packages. Some common library packages that the application teams use must also be shared with the entire organization.
Which combination of steps will meet these requirements with the LEAST administrative overhead? (Select THREE.)

A. Set the other application teams' repositories as upstream repositories.
B. Create a repository in the shared services account. Grant the organization read access to the repository in the shared services account. Set the repository as the upstream repository in each application team's repository.
C. Create a repository in each application team's account. Grant each application team's account lull read access and write access to its own repository.
D. Create a domain in the shared services account Grant the organization read access and CreateRepository access.
E. For teams that require shared packages, create resource-based policies that allow read access to the repository from other application teams' accounts.
F. Create a domain in each application team's account. Grant each application team's account lull read access and write access to the application team's domain

Answer: B,D,E

Explanation:
Step 1: Creating a Centralized Domain in the Shared Services Account
To manage application package dependencies across multiple accounts, the most efficient solution is to create a centralized domain in the shared services account. This allows all application teams to access and manage package repositories within the same domain, ensuring consistency and centralization.
Action: Create a domain in the shared services account.
Why: A single, centralized domain reduces the need for redundant management in each application team's account.
Reference: AWS documentation on AWS CodeArtifact domains and repositories.
This corresponds to Option B: Create a domain in the shared services account. Grant the organization read access and CreateRepository access.
Step 2: Sharing Repositories Across Teams with Upstream ConfigurationsTo share common library packages across the organization, each application team's repository can point to the shared services repository as an upstream repository. This enables teams to access shared packages without managing them individually in each team's account.
Action: Create a repository in the shared services account and set it as the upstream repository for each application team.
Why: Upstream repositories allow package sharing while maintaining individual team repositories for managing their own packages.
Reference: AWS documentation on Upstream repositories in CodeArtifact.
This corresponds to Option D: Create a repository in the shared services account. Grant the organization read access to the repository in the shared services account. Set the repository as the upstream repository in each application team's repository.
Step 3: Using Resource-Based Policies for Cross-Account AccessFor teams that need to share their packages with other application teams, resource-based policies can be applied to grant the necessary permissions. These policies allow cross-account access without having to manage permissions at the individual account level.
Action: Create resource-based policies that allow read access to the repositories across application teams.
Why: This simplifies management by centralizing permissions in the shared services account while allowing cross-team collaboration.
Reference: AWS documentation on CodeArtifact resource-based policies.
This corresponds to Option E: For teams that require shared packages, create resource-based policies that allow read access to the repository from other application teams' accounts.

NEW QUESTION # 179
A company is launching an application that stores raw data in an Amazon S3 bucket. Three applications need to access the data to generate reports. The data must be redacted differently for each application before the applications can access the data.
Which solution will meet these requirements?

A. For each application, create an S3 access point that uses the raw data's S3 bucket as the destination.
Create an AWS Lambda function that is invoked by object creation events in the raw data's S3 bucket.
Program the Lambda function to redact data for each application. Store the data in each application's S3 access point. Configure each application to consume data from its own S3 access point.
B. Create an Amazon Kinesis data stream. Create an AWS Lambda function that is invoked by object creation events in the raw data's S3 bucket. Program the Lambda function to redact data for each application. Publish the data on the Kinesis data stream. Configure each application to consume data from the Kinesis data stream.
C. Create an S3 access point that uses the raw data's S3 bucket as the destination. For each application, create an S3 Object Lambda access point that uses the S3 access point. Configure the AWS Lambda function for each S3 Object Lambda access point to redact data when objects are retrieved. Configure each application to consume data from its own S3 Object Lambda access point.
D. Create an S3 bucket for each application. Configure S3 Same-Region Replication (SRR) from the raw data's S3 bucket to each application's S3 bucket. Configure each application to consume data from its own S3 bucket.

Answer: C

Explanation:
Explanation
The best solution is to use S3 Object Lambda1, which allows you to add your own code to S3 GET, LIST, and HEAD requests to modify and process data as it is returned to an application2. This way, you can redact the data differently for each application without creating and storing multiple copies of the data or running proxies.
The other solutions are less efficient or scalable because they require replicating the data to multiple buckets, streaming the data through Kinesis, or storing the data in S3 access points.
References: 1: Amazon S3 Features | Object Lambda | AWS 2: Transforming objects with S3 Object Lambda - Amazon Simple Storage Service

NEW QUESTION # 180
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