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Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: SDLC Automation	22%	- Automate testing and validation 1. Unit, integration, and performance testing 2. Security and compliance testing 3. Automate quality gates - Implement CI/CD pipelines 1. Use AWS CodePipeline, CodeBuild, CodeDeploy 2. Integrate version control systems 3. Automate build, test, and deployment stages - Automate software release processes 1. Automate rollback procedures 2. Implement deployment strategies 3. Manage artifacts and dependencies
Topic 2: Security, Governance, and Compliance	17%	- 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. Implement compliance rules and audits 2. Use AWS Config and AWS Organizations 3. Manage access and permissions at scale - Automate security and compliance 1. Integrate security into CI/CD pipelines 2. Detect and remediate violations automatically 3. Use AWS Security Hub and AWS Shield
Topic 3: Monitoring and Logging	15%	- Automate incident response 1. Automate remediation and scaling 2. Set up event-driven actions with Amazon EventBridge 3. Implement alerting and notification workflows - Implement logging and analysis 1. Centralize logs with CloudWatch Logs 2. Analyze logs for troubleshooting and security 3. Use AWS X-Ray for tracing - Implement monitoring solutions 1. Monitor infrastructure, applications, and costs 2. Create dashboards and insights 3. Use Amazon CloudWatch for metrics and alarms
Topic 4: Configuration Management and Infrastructure as Code	17%	- Automate configuration management 1. Use AWS Systems Manager, Ansible, or Puppet 2. Detect and remediate configuration drift 3. Maintain consistent configurations - Implement infrastructure as code 1. Manage templates and stacks 2. Use AWS CloudFormation, Terraform, or AWS CDK 3. Enforce configuration standards - Manage infrastructure deployments 1. Manage multi-account and multi-region environments 2. Implement version control for configurations 3. Provision and update resources automatically
Topic 5: Incident and Event Response	14%	- Improve operational processes 1. Implement feedback loops 2. Optimize response time and efficiency 3. Update runbooks and playbooks - Automate event management 1. Integrate with ticketing and workflow systems 2. Automate common operational tasks 3. Classify and prioritize events - Manage incidents and outages 1. Troubleshoot complex issues 2. Document and learn from events 3. Coordinate response and recovery
Topic 6: 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. 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

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q91-Q96):

NEW QUESTION # 91
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. 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.
B. 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.
C. 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.
D. 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 *.

Answer: C

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 # 92
A company uses an organization in AWS Organizations to manage several AWS accounts that the company's developers use. The company requires all data to be encrypted in transit.
Multiple Amazon S3 buckets that were created in developer accounts allow unencrypted connections. A DevOps engineer must enforce encryption of data in transit for all existing S3 buckets that are created in accounts in the organization.
Which solution will meet these requirements?

A. Turn on AWS Config for the organization. Deploy a conformance pack that uses the s3-bucket-ssi- requests-only managed rule and an AWS Systems Manager Automation runbook. Use a runbook that adds a bucket policy statement to deny access to an S3 bucket when the value of the aws:
SecureTransport condition key is false.
B. Use AWS CloudFormation StackSets to deploy an AWS Network Firewall firewall to each account.
Route all inbound requests to the AWS environment through the firewall. Deploy a policy to block access to all inbound requests on port 80.
C. Use AWS Cloud Formation StackSets to deploy an AWS Network Firewall firewall to each account.
Route all outbound requests from the AWS environment through the firewall. Deploy a policy to block access to all outbound requests on port 80.
D. Turn on AWS Config for the organization. Deploy a conformance pack that uses the s3-buckot-ssl- requests-only managed rule and an AWS Systems Manager Automation runbook. Use a runbook that adds a bucket policy statement to deny access to an S3 bucket when the value of the s3:x-amz-server- side-encryption-aws-kms-key-id condition key is null.

Answer: A

NEW QUESTION # 93
A DevOps engineer is working on a member account in an organization in AWS Organizations with all features enabled . The account has sensitive data stored in Amazon S3 buckets.
The DevOps engineer must ensure that all public access to S3 buckets in the account is blocked . If the account-level S3 Block Public Access settings change in the future, the changes must be reverted automatically so that all public access is blocked again.
Which solution meets these requirements?

A. Enable Amazon Macie in the account. Create an Amazon EventBridge rule with an event pattern that matches Macie policy findings. Configure the rule with an EventBridge target to run a predefined AWS Systems Manager runbook to configure S3 Block Public Access settings.
B. Enable AWS Security Hub in the account. Enable the Security Hub control to evaluate the account- level Block Public Access settings. Enable automated remediation for the Security Hub control.
C. In the organization's management account, create an SCP that denies S3 actions from outside the AWS account. Attach the SCP to the member account.
D. Set up AWS Config in the account. Create an AWS Config managed rule that evaluates the account- level Block Public Access settings. Enable automatic remediation for the rule by using a predefined AWS Systems Manager runbook to configure S3 Block Public Access settings.

Answer: D

Explanation:
Option B is the only choice that directly satisfies both requirements:
* Continuously evaluate the account-level S3 Block Public Access setting
* AWS Config is designed to record configuration state and evaluate resources/settings against rules over time.
* A Config rule (managed rule) can check whether the account-level "S3 Block Public Access" settings are configured as required (i.e., blocking public access).
* Automatically revert drift (auto-remediate) if someone changes the setting later
* AWS Config Remediation can automatically trigger an AWS Systems Manager Automation runbook when the rule becomes NON_COMPLIANT .
* Using an SSM Automation document/runbook that sets S3 account-level Block Public Access back to the required "blocked" configuration ensures that any future change is corrected automatically , restoring compliance without manual intervention.
Why the other options don't fully meet the requirement:
* A (Security Hub) : Security Hub primarily aggregates findings and checks controls. While it can integrate with automation, AWS Config is the standard service for configuration drift detection + automatic remediation loops for account-level posture settings. Security Hub is not the most direct
"detect config drift and auto-fix" mechanism for an account setting in the way Config remediation is.
* C (SCP) : An SCP can restrict API actions, but it doesn't "revert" a changed S3 Block Public Access configuration ; it only prevents/limits what actions can be called. Also, "deny S3 actions from outside the account" is not the same as enforcing Block Public Access settings at the account level.
* D (Macie + EventBridge) : Macie focuses on data discovery and sensitive data findings , not enforcing or continuously remediating S3 account-level Block Public Access configuration drift.
Triggering remediation off Macie findings is indirect and not aligned to "setting changed # immediately revert."

NEW QUESTION # 94
A DevOps engineer is architecting a continuous development strategy for a company's software as a service (SaaS) web application running on AWS. For application and security reasons users subscribing to this application are distributed across multiple. Application Load Balancers (ALBs) each of which has a dedicated Auto Scaling group and fleet of Amazon EC2 instances The application does not require a build stage and when it is committed to AWS CodeCommit, the application must trigger a simultaneous deployment to all ALBs Auto Scaling groups and EC2 fleets.
Which architecture will meet these requirements with the LEAST amount of configuration?

A. Create a single AWS CodePipeline pipeline that deploys the application in parallel using unique AWS CodeDeploy applications and deployment groups created for each ALB-Auto Scaling group pair.
B. Create an AWS CodePipeline pipeline for each ALB-Auto Scaling group pair that deploys the application using an AWS CodeDeploy application and deployment group created for the same ALB-Auto Scaling group pair.
C. Create a single AWS CodePipeline pipeline that deploys the application in parallel using a single AWS CodeDeploy application and unique deployment group for each ALB-Auto Scaling group pair.
D. Create a single AWS CodePipeline pipeline that deploys the application using a single AWS CodeDeploy application and single deployment group.

Answer: C

Explanation:
Explanation
https://docs.aws.amazon.com/codedeploy/latest/userguide/deployment-groups.html

NEW QUESTION # 95
A company's organization in AWS Organizations has a single OU. The company runs Amazon EC2 instances in the OU accounts. The company needs to limit the use of each EC2 instance's credentials to the specific EC2 instance that the credential is assigned to. A DevOps engineer must configure security for the EC2 instances.
Which solution will meet these requirements?

A. Create an SCP that specifies the VPC CIDR block. Configure the SCP to check whether the value of the aws:VpcSourcelp condition key is in the specified block. In the same SCP check, check whether the values of the aws:EC2lnstanceSourcePrivatelPv4 and aws:SourceVpc condition keys are the same.
Deny access if either condition is false. Apply the SCP to the OU.
B. Create an SCP that checks whether the values of the aws:EC2lnstanceSourceVPC and aws:SourceVpc condition keys are the same. Deny access if the values are not the same. In the same SCP check, check whether the values of the aws:EC2lnstanceSourcePrivatelPv4 and awsVpcSourcelp condition keys are the same. Deny access if the values are not the same. Apply the SCP to the OU.
C. Create an SCP that includes a list of acceptable VPC values and checks whether the value of the aws:
SourceVpc condition key is in the list. In the same SCP check, define a list of acceptable IP address values and check whether the value of the aws:VpcSourcelp condition key is in the list. Deny access if either condition is false. Apply the SCP to each account in the organization.
D. Create an SCP that checks whether the values of the aws:EC2lnstanceSourceVPC and aws:VpcSourcelp condition keys are the same. Deny access if the values are not the same. In the same SCP check, check whether the values of the aws:EC2lnstanceSourcePrivatolPv4 and aws:SourceVpc condition keys are the same. Deny access if the values are not the same. Apply the SCP to each account in the organization.

Answer: B

Explanation:
Step 1: Using Service Control Policies (SCPs) for EC2 SecurityTo limit the use of EC2 instance credentials to the specific EC2 instance they are assigned to, you can create a Service Control Policy (SCP) that verifies specific conditions, such as whether the EC2 instance's source VPC and private IP match expected values.
Action: Create an SCP that checks whether the values of the aws:EC2InstanceSourceVPC and aws:
SourceVpc condition keys are the same. Deny access if they are not.
Why: This ensures that credentials cannot be used outside the designated EC2 instance or VPC.
Step 2: Further Validation with Private IPsThe SCP should also verify that the EC2 instance's private IP matches the IP range specified for the VPC. If the instance's private IP does not match, access should be denied.
Action: In the same SCP, check whether the values of the aws:EC2InstanceSourcePrivateIP and aws:
VpcSourceIP condition keys are the same. Deny access if they are not.
Why: This ensures that the credentials are only used within the specific EC2 instance and its associated VPC.
Reference: AWS documentation on Service Control Policies (SCPs).
This corresponds to Option B: Create an SCP that checks whether the values of the aws:
EC2InstanceSourceVPC and aws:SourceVpc condition keys are the same. Deny access if the values are not the same. In the same SCP check, check whether the values of the aws:EC2InstanceSourcePrivateIP and aws:
VpcSourceIP condition keys are the same. Deny access if the values are not the same. Apply the SCP to the OU.

NEW QUESTION # 96
......

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