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

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q368-Q373):

NEW QUESTION # 368
A company runs an application on an Amazon Elastic Container Service (Amazon ECS) service by using the AWS Fargate launch type. The application consumes messages from an Amazon Simple Queue Service (Amazon SQS) queue. The application can take several minutes to process each message from the queue.
When the application processes a message, the application reads a file from an Amazon S3 bucket and processes the data in the file. The application writes the processed output to a second S3 bucket. The company uses Amazon CloudWatch Logs to monitor processing errors and to ensure that the application processes messages successfully.
The SQS queue typically receives a low volume of messages. However, occasionally the queue receives higher volumes of messages. A DevOps engineer needs to implement a solution to reduce the processing time of message bursts.
Which solution will meet this requirement in the MOST cost-effective way?

A. Register the ECS service as a scalable target in AWS Application Auto Scaling. Configure a target tracking scaling policy to scale the service in response to the queue size.
B. Increase the maximum number of messages that Amazon SQS requests to batch messages together. Use long polling to minimize the number of API calls to Amazon SQS during periods of low traffic.
C. Create an Auto Scaling group of EC2 instances. Create a capacity provider in the ECS cluster by using the Auto Scaling group. Change the ECS service to use the EC2 launch type.
D. Send messages to an Amazon EventBridge event bus instead of the SQS queue. Replace the ECS service with an EventBridge rule that launches ECS tasks in response to matching events.

Answer: A

Explanation:
AWS recommends Application Auto Scaling for ECS services to dynamically adjust the number of running tasks based on Amazon SQS queue metrics such as ApproximateNumberOfMessagesVisible. By using target tracking scaling policies, ECS on Fargate scales automatically when the queue backlog grows and scales down when traffic decreases - a fully managed, cost-efficient solution (see ECS Service Auto Scaling Developer Guide).

NEW QUESTION # 369
A company has an on-premises application that is written in Go. A DevOps engineer must move the application to AWS. The company's development team wants to enable blue/green deployments and perform A/B testing.
Which solution will meet these requirements?

A. Deploy the application on an Amazon EC2 instance, and create an AMI of the instance. Use the AMI to create an automatic scaling launch configuration that is used in an Auto Scaling group. Use Elastic Load Balancing to distribute traffic. When changes are made to the application, a new AMI will be created, which will initiate an EC2 instance refresh.
B. Use AWS CodeArtifact to store the application code. Use AWS CodeDeploy to deploy the application to a fleet of Amazon EC2 instances. Use Elastic Load Balancing to distribute the traffic to the EC2 instances. When making changes to the application, upload a new version to CodeArtifact and create a new CodeDeploy deployment.
C. Use Amazon Lightsail to deploy the application. Store the application in a zipped format in an Amazon S3 bucket. Use this zipped version to deploy new versions of the application to Lightsail. Use Lightsail deployment options to manage the deployment.
D. Use AWS Elastic Beanstalk to host the application. Store a zipped version of the application in Amazon S3. Use that location to deploy new versions of the application. Use Elastic Beanstalk to manage the deployment options.

Answer: D

Explanation:
https://aws.amazon.com/quickstart/architecture/blue-green-deployment/

NEW QUESTION # 370
A DevOps engineer must implement a solution that immediately terminates Amazon EC2 instances in Auto Scaling groups when cryptocurrency mining activity is detected.
Which solution will meet these requirements with the LEAST development effort?

A. Configure Amazon Route 53 to send query logs directly to Amazon CloudWatch Logs. Create an AWS Lambda function that runs every 5 minutes and checks the query logs for domains related to cryptocurrency activity. If the domains are found, terminate the identified EC2 instances.
B. Configure VPC Flow Logs to send flow logs to an Amazon S3 bucket. Create an AWS Lambda function that runs every 5 minutes and invokes an Amazon Athena query to find IP addresses associated with cryptocurrency activity. If the IP addresses are found, terminate the identified EC2 instances.
C. Enable Amazon GuardDuty. Monitor EC2 findings. Create an Amazon EventBridge rule with GuardDuty as the event source. Create an AWS Lambda function that is triggered by the EventBridge rule. Configure the Lambda function to parse the event and terminate the identified EC2 instances.
D. Enable AWS Security Hub. Monitor EC2 findings. Create an Amazon EventBridge rule with Security Hub as the event source. Create an AWS Lambda function that is triggered by the EventBridge rule.Configure the Lambda function to parse the event and terminate the identified EC2 instances.

Answer: C

Explanation:
The requirement is to immediately detect and terminate EC2 instances involved in cryptocurrency mining with the least development effort. Amazon GuardDuty is the AWS-native service specifically designed to detect malicious activities such as crypto-mining by continuously analyzing CloudTrail events, VPC Flow Logs, and DNS logs. GuardDuty includes managed threat intelligence and predefined findings like CryptoCurrency:EC2/BitcoinTool.B!DNS and CryptoCurrency:EC2/BitcoinTool.B!IP, which directly identify mining behavior without custom detection logic.
Option C leverages this built-in capability. Once GuardDuty is enabled, findings are automatically generated when mining activity is detected. These findings are sent to Amazon EventBridge in near real time. An EventBridge rule can filter for cryptocurrency-related findings and trigger an AWS Lambda function. The Lambda function can then identify the affected EC2 instance and terminate it or adjust the Auto Scaling group to replace it. This approach requires minimal custom code and no log parsing, scheduled jobs, or analytics pipelines.
Options A and B rely on custom log analysis, periodic execution, and maintaining lists of mining domains or IPs, which significantly increases complexity and response time. Option D uses AWS Security Hub, which aggregates findings from GuardDuty and other services but is not intended for immediate, low-latency remediation.
Therefore, Option C provides the fastest detection, immediate response, and lowest development overhead using AWS-managed threat detection services.

NEW QUESTION # 371
A DevOps team is merging code revisions for an application that uses an Amazon RDS Multi-AZ DB cluster for its production database. The DevOps team uses continuous integration to periodically verify that the application works. The DevOps team needs to test the changes before the changes are deployed to the production database.
Which solution will meet these requirements'?

A. Deploy the application to production. Configure an audit log of data control language (DCL) operations to capture database activities to perform if verification fails.
B. Use a buildspec file in AWS CodeBuild to restore the DB cluster from a snapshot of the production database run integration tests, and drop the restored database after verification.
C. Create a snapshot of the DB duster before deploying the application Use the Update requires Replacement property on the DB instance in AWS CloudFormation to deploy the application and apply the changes.
D. Ensure that the DB cluster is a Multi-AZ deployment. Deploy the application with the updates. Fail over to the standby instance if verification fails.

Answer: B

Explanation:
Explanation
This solution will meet the requirements because it will create a temporary copy of the production database using a snapshot, run the integration tests on the copy, and delete the copy after the tests are done. This way, the production database will not be affected by the code revisions, and the DevOps team can test the changes before deploying them to production. A buildspec file is a YAML file that contains the commands and settings that CodeBuild uses to run a build1. The buildspec file can specify the steps to restore the DB cluster from a snapshot, run the integration tests, and drop the restored database2

NEW QUESTION # 372
A company's EC2 fleet must maintain up-to-date security patches and compliance reporting.
Which solution meets these requirements?

A. Use CloudFormation redeployment for every patch.
B. Rebuild instances in Auto Scaling groups with latest AMIs.
C. SSH into each instance manually.
D. Use Systems Manager Patch Manager with AWS Config compliance rules and automation documents.

Answer: D

Explanation:
AWS Systems Manager Patch Manager automates patch scanning and installation. Integrating with AWS Config enables compliance reporting and auto-remediation. This provides centralized patch compliance management per AWS Ops best practices.

NEW QUESTION # 373
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