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Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Incident and Event Management	18%	- Operational response and recovery 1. Automated event-driven responses 2. Incident detection and remediation
Topic 2: SDLC Automation	22%	- CI/CD pipeline design and implementation 1. Build and deployment automation 2. Pipeline optimization and scaling
Topic 3: Monitoring and Logging	15%	- Observability and metrics 1. Log aggregation and analysis 2. CloudWatch monitoring and alarms
Topic 4: Security and Compliance Automation	13%	- Security automation in CI/CD and infrastructure 1. Compliance monitoring and auditing 2. IAM policy automation and governance
Topic 5: Configuration Management and Infrastructure as Code	17%	- Infrastructure provisioning and automation 1. Configuration tools and automation strategies 2. AWS CloudFormation and CDK usage
Topic 6: Resilient Cloud Solutions	15%	- High availability and fault tolerance design 1. Disaster recovery strategies 2. Multi-AZ and multi-region architectures

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q32-Q37):

NEW QUESTION # 32
A company frequently creates Docker images of an application. The company stores the images in Amazon Elastic Container Registry (Amazon ECR) . The company creates both tagged images and untagged images.
The company wants to implement a solution to automatically delete images that have not been updated for a long time and are not frequently used. The solution must retain at least a specified number of images.
Which solution will meet these requirements with the LEAST operational overhead ?

A. Use Amazon S3 Lifecycle policies on the ECR repository to automatically delete images based on image age or the absence of tags on the image.
B. Use Amazon ECR lifecycle policies to delete images based on age or the number of images that need to be retained in the repository.
C. Configure an AWS Lambda function to run on a schedule to delete images based on age or the number of images that need to be retained in the repository.
D. Use AWS Systems Manager to run a script by using the aws:executeScript action to automatically delete images based on image age or the absence of tags on the image.

Answer: B

Explanation:
Option B is the correct choice and has the least operational overhead because ECR lifecycle policies are the native, managed feature built specifically to automate image cleanup:
* ECR lifecycle policies can expire images based on image age (e.g., images older than X days) and can also enforce retaining a minimum number of images (count-based retention), which directly matches the requirement "retain at least a specified number of images."
* Lifecycle policies work for both tagged and untagged images using rule selection and tagging status filters, so the repository stays clean without custom automation.
Why the other options are not appropriate / higher overhead:
* A is invalid: ECR is not S3; S3 lifecycle policies do not manage ECR images .
* C and D introduce custom automation (Lambda or SSM scripting), scheduling, permissions, error handling, retries, logging, and ongoing maintenance-higher overhead than a managed lifecycle policy.

NEW QUESTION # 33
A company runs an application on one Amazon EC2 instance. Application metadata is stored in Amazon S3 and must be retrieved if the instance is restarted. The instance must restart or relaunch automatically if the instance becomes unresponsive.
Which solution will meet these requirements?

A. Use AWS CloudFormation to create an EC2 instance that includes the UserData property for the EC2 resource. Add a command in UserData to retrieve the application metadata from Amazon S3.
B. Configure AWS OpsWorks, and use the auto healing feature to stop and start the instance. Use a lifecycle event in OpsWorks to pull the metadata from Amazon S3 and update it on the instance.
C. Use EC2 Auto Recovery to automatically stop and start the instance in case of a failure. Use an S3 event notification to push the metadata to the instance when the instance is back up and running.
D. Create an Amazon CloudWatch alarm for the StatusCheckFailed metric. Use the recover action to stop and start the instance. Use an S3 event notification to push the metadata to the instance when the instance is back up and running.

Answer: B

Explanation:
https://aws.amazon.com/blogs/mt/how-to-set-up-aws-opsworks-stacks-auto-healing-notifications-in-amazon-cloudwatch-events/

NEW QUESTION # 34
A company provides an application to customers. The application has an Amazon API Gateway REST API that invokes an AWS Lambda function. On initialization, the Lambda function loads a large amount of data from an Amazon DynamoDB table. The data load process results in long cold-start times of 8-10 seconds. The DynamoDB table has DynamoDB Accelerator (DAX) configured.
Customers report that the application intermittently takes a long time to respond to requests. The application receives thousands of requests throughout the day. In the middle of the day, the application experiences 10 times more requests than at any other time of the day. Near the end of the day, the application's request volume decreases to 10% of its normal total.
A DevOps engineer needs to reduce the latency of the Lambda function at all times of the day.
Which solution will meet these requirements?

A. Configure reserved concurrency on the Lambda function with a concurrency value of 0.
B. Configure reserved concurrency on the Lambda function. Configure AWS Application Auto Scaling on the API Gateway API with a reserved concurrency maximum value of 100.
C. Configure provisioned concurrency on the Lambda function. Configure AWS Application Auto Scaling on the Lambda function with provisioned concurrency values set to a minimum of 1 and a maximum of 100.
D. Configure provisioned concurrency on the Lambda function with a concurrency value of 1. Delete the DAX cluster for the DynamoDB table.

Answer: C

NEW QUESTION # 35
A company has deployed an Amazon Elastic Kubernetes Service (Amazon EKS) cluster with Amazon EC2 node groups. The company's DevOps team uses the Kubernetes Horizontal Pod Autoscaler and recently installed a supported EKS cluster Autoscaler.
The DevOps team needs to implement a solution to collect metrics and logs of the EKS cluster to establish a baseline for performance. The DevOps team will create an initial set of thresholds for specific metrics and will update the thresholds over time as the cluster is used. The DevOps team must receive an Amazon Simple Notification Service (Amazon SNS) email notification if the initial set of thresholds is exceeded or if the EKS cluster Autoscaler is not functioning properly.
The solution must collect cluster, node, and pod metrics. The solution also must capture logs in Amazon CloudWatch.
Which combination of steps should the DevOps team take to meet these requirements? (Select THREE.)

A. Deploy the CloudWatch agent and Fluent Bit to the cluster. Ensure that the EKS cluster has appropriate permissions to send metrics and logs to CloudWatch.
B. Deploy AWS Distro for OpenTelemetry to the cluster. Ensure that the EKS cluster has appropriate permissions to send metrics and logs to CloudWatch.
C. Create a CloudWatch alarm to monitor a metric log filter of the Autoscaler deployments for errors.Configure the alarm to send an SNS email notification to the DevOps team if thresholds are exceeded.
D. Create CloudWatch alarms to monitor the CPU, memory, and node failure metrics of the cluster.
Configure the alarms to send an SNS email notification to the DevOps team if thresholds are exceeded.
E. Create a CloudWatch composite alarm to monitor a metric log filter of the CPU, memory, and node metrics of the cluster. Configure the alarm to send an SNS email notification to the DevOps team when anomalies are detected.
F. Create a CloudWatch alarm to monitor the logs of the Autoscaler deployments for errors. Configure the alarm to send an SNS email notification to the DevOps team if thresholds are exceeded.

Answer: A,C,D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer Documents Only:
Deploy CloudWatch Agent + Fluent Bit (supported by Amazon EKS integration) to forward metrics and logs.
Create CloudWatch Alarms for CPU/memory/node metrics and metric log filters for Autoscaler logs, triggering SNS notifications when anomalies occur. This pattern matches AWS guidance on "Monitoring EKS clusters with CloudWatch Container Insights and alarms."

NEW QUESTION # 36
A company is hosting a static website from an Amazon S3 bucket. The website is available to customers at example.com. The company uses an Amazon Route 53 weighted routing policy with a TTL of 1 day. The company has decided to replace the existing static website with a dynamic web application. The dynamic web application uses an Application Load Balancer (ALB) in front of a fleet of Amazon EC2 instances.
On the day of production launch to customers, the company creates an additional Route 53 weighted DNS record entry that points to the ALB with a weight of 255 and a TTL of 1 hour. Two days later, a DevOps engineer notices that the previous static website is displayed sometimes when customers navigate to example.com.
How can the DevOps engineer ensure that the company serves only dynamic content for example.com?

A. Configure webpage redirect requests on the S3 bucket with a hostname that redirects to the ALB.
B. Delete all objects, including previous versions, from the S3 bucket that contains the static website content.
C. Remove the weighted DNS record entry that points to the S3 bucket from the example.com hosted zone. Wait for DNS propagation to become complete.
D. Update the weighted DNS record entry that points to the S3 bucket. Apply a weight of 0. Specify the domain reset option to propagate changes immediately.

Answer: D

NEW QUESTION # 37
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