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The AWS Certified DevOps Engineer - Professional certification exam, also known as DOP-C02, is designed for professionals who have experience in implementing and managing DevOps practices using AWS tools and services. AWS Certified DevOps Engineer - Professional certification validates a candidate's expertise in areas such as continuous delivery, infrastructure as code, monitoring and logging, and automation of security and compliance.

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Amazon DOP-C02 exam is designed to test the skills and knowledge of professionals who work in DevOps roles. AWS Certified DevOps Engineer - Professional certification is intended for individuals who have a deep understanding of the AWS platform and are experienced in delivering and managing applications on AWS. DOP-C02 Exam is designed to validate the skills needed to manage, operate, and deploy applications on AWS, and to demonstrate expertise in DevOps practices and methodologies.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q186-Q191):

NEW QUESTION # 186
A company needs to implement failover for its application. The application includes an Amazon CloudFront distribution and a public Application Load Balancer (ALB) in an AWS Region. The company has configured the ALB as the default origin for the distribution.
After some recent application outages, the company wants a zero-second RTO. The company deploys the application to a secondary Region in a warm standby configuration. A DevOps engineer needs to automate the failover of the application to the secondary Region so that HTTP GET requests meet the desired RTO.
Which solution will meet these requirements?

A. Create a CloudFront function that detects HTTP 5xx status codes. Configure the function to return a
307 Temporary Redirect error response to the secondary ALB if the function detects 5xx status codes.
Update the distribution's default behavior to send origin responses to the function.
B. Create a new origin on the distribution for the secondary ALB. Create a new origin group. Set the original ALB as the primary origin. Configure the origin group to fail over for HTTP 5xx status codes.
Update the default behavior to use the origin group.
C. Create Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both ALBs. Set the TTL of both records to 0. Update the distribution's origin to use the new record set.
D. Create a second CloudFront distribution that has the secondary ALB as the default origin. Create Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both CloudFront distributions. Update the application to use the new record set.

Answer: B

Explanation:
The best solution to implement failover for the application is to use CloudFront origin groups. Origin groups allow CloudFront to automatically switch to a secondary origin when the primary origin is unavailable or returns specific HTTP status codes that indicate a failure1. This way, CloudFront can serve the requests from the secondary ALB in the secondary Region without any delay or redirection. To set up origin groups, the DevOps engineer needs to create a new origin on the distribution for the secondary ALB, create a new origin group with the original ALB as the primary origin and the secondary ALB as the secondary origin, and configure the origin group to fail over for HTTP 5xx status codes. Then, the DevOps engineer needs to update the default behavior to use the origin group instead of the single origin2.
The other options are not as effective or efficient as the solution in option B. Option A is not suitable because creating a second CloudFront distribution will increase the complexity and cost of the application. Moreover, using Route 53 alias records with a failover policy will introduce some delay in detecting and switching to the secondary CloudFront distribution, which may not meet the zero-second RTO requirement. Option C is not feasible because CloudFront does not support using Route 53 alias records as origins3. Option D is not advisable because using a CloudFront function to redirect the requests to the secondary ALB will add an extra round-trip and latency to the failover process, which may also not meet the zero-second RTO requirement.
1: Optimizing high availability with CloudFront origin failover - Amazon CloudFront
2: Creating an origin group - Amazon CloudFront
3: Values That You Specify When You Create or Update a Web Distribution - Amazon CloudFront

NEW QUESTION # 187
An ecommerce company hosts a web application on Amazon EC2 instances that are in an Auto Scaling group.
The company deploys the application across multiple Availability Zones.
Application users are reporting intermittent performance issues with the application.
The company enables basic Amazon CloudWatch monitoring for the EC2 instances. The company identifies and implements a fix for the performance issues. After resolving the issues, the company wants to implement a monitoring solution that will quickly alert the company about future performance issues.
Which solution will meet this requirement?

A. Enable detailed monitoring for the EC2 instances. Create custom CloudWatch metrics for application- specific performance indicators. Set up CloudWatch alarms based on the custom metrics. Use CloudWatch Logs Insights to analyze application logs for error patterns.
B. Use AWS X-Ray to implement distributed tracing. Integrate X-Ray with Amazon CloudWatch RUM.
Use Amazon EventBridge to trigger automatic scaling actions based on custom events.
C. Use Amazon CloudFront to deliver the application. Use AWS CloudTrail to monitor API calls. Use AWS Trusted Advisor to generate recommendations to optimize performance. Use Amazon GuardDuty to detect potential performance issues.
D. Enable VPC Flow Logs. Use Amazon Data Firehose to stream flow logs to Amazon S3. Use Amazon Athena to analyze the logs and to send alerts to the company.

Answer: A

Explanation:
The company needs fast, proactive alerts for future performance issues, beyond basic EC2 metrics. Option A provides a complete, AWS-native monitoring pattern aligned with best practices:
* Enable detailed monitoring on EC2 instances to increase metric resolution (from 5-minute to 1-minute intervals), improving the responsiveness of alarms.
* Define custom CloudWatch metrics for application-level indicators such as request latency, error rate, queue depth, or throughput. These metrics can be published from the application or sidecar agents.
* Create CloudWatch alarms on both infrastructure (CPU, network, disk) and custom application metrics with thresholds that reflect performance SLOs. Alarms can notify teams via SNS or incident management tools.
* Use CloudWatch Logs Insights to analyze logs for recurring error patterns, slow requests, or exceptions when alarms fire.
Option B focuses on tracing and frontend RUM; while useful, it is more complex and not necessary just to get quick alerts. Option C uses services (CloudTrail, GuardDuty, Trusted Advisor) that are not focused on real- time performance detection. Option D with VPC Flow Logs is network-level and would not detect general application performance issues.
Thus, Option A offers a direct, efficient way to detect and alert on performance degradations quickly.

NEW QUESTION # 188
A DevOps engineer is working on a project that is hosted on Amazon Linux and has failed a security review.
The DevOps manager has been asked to review the company buildspec. yaml die for an AWS CodeBuild project and provide recommendations. The buildspec. yaml file is configured as follows:
What changes should be recommended to comply with AWS security best practices? (Select THREE.)

A. Move the environment variables to the ' db.-deploy-bucket 'Amazon S3 bucket, add a prebuild stage to download then export the variables.
B. Add a post-build command to remove the temporary files from the container before termination to ensure they cannot be seen by other CodeBuild users.
C. Update the CodeBuild project role with the necessary permissions and then remove the AWS credentials from the environment variable.
D. Use AWS Systems Manager run command versus sec and ssh commands directly to the instance.
E. Store the db_password as a SecureString value in AWS Systems Manager Parameter Store and then remove the db_password from the environment variables.

Answer: C,D,E

NEW QUESTION # 189
A DevOps engineer is setting up an Amazon Elastic Container Service (Amazon ECS) blue/green deployment for an application by using AWS CodeDeploy and AWS CloudFormation. During the deployment window, the application must be highly available and CodeDeploy must shift 10% of traffic to a new version of the application every minute until all traffic is shifted.
Which configuration should the DevOps engineer add in the CloudFormation template to meet these requirements?

A. Add the AWS::CodeDeployBlueGreen transform and the AWS::CodeDeploy::BlueGreen hook parameter with the CodeDeployDefault.ECSLinear10PercentEvery1 Minutes deployment configuration.
B. Add an AppSpec file with the ECSCanary10Percent5Minutes deployment configuration.
C. Add an AppSpec file with the CodeDeployDefault.ECSLineaMOPercentEverylMinutes deployment configuration.
D. Add the AWS::CodeDeployBlueGroen transform and the AWS::CodeDeploy::BlueGreen hook parameter with the ECSCanary10Percent5Minutes deployment configuration.

Answer: A

Explanation:
Step 1: Using AWS CloudFormation with ECS Blue/Green Deployments
The requirement is to implement an ECS blue/green deployment where traffic is shifted gradually. AWS CodeDeploy supports such blue/green deployments with predefined configurations, like ECSLinear10PercentEvery1Minute, which shifts 10% of traffic every minute.
Action: Use the AWS::CodeDeployBlueGreen transform and the appropriate hooks in the CloudFormation template. The ECSLinear10PercentEvery1Minute deployment configuration meets the requirement of shifting 10% of traffic every minute.
Why: The transform and hook parameters in CloudFormation are essential for configuring the blue/green deployment with the desired traffic-shifting behavior.
Reference:
This corresponds to Option B: Add the AWS::CodeDeployBlueGreen transform and the AWS::CodeDeploy::BlueGreen hook parameter with the CodeDeployDefault.ECSLinear10PercentEvery1Minutes deployment configuration.

NEW QUESTION # 190
A company has developed a web application that conducts seasonal sales on public holidays. The web application is deployed on AWS and uses AWS services for storage, database, computing, and encryption.
During seasonal sales, the company expects high network traffic from many users. The company must receive insights regarding any unexpected behavior during the sale. A DevOps team wants to review the insights upon detecting anomalous behaviors during the sale. The DevOps team wants to receive recommended actions to resolve the anomalous behaviors. The recommendations must be provided on the provisioned infrastructure to address issues that might occur in the future.
Which combination of steps will meet these requirements with the LEAST operational overhead? (Select TWO.)

A. Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure Amazon Athena to send query results about important events to the company when anomalies are identified.
B. Enable Amazon DevOps Guru in the AWS account. Determine the coverage for DevOps Guru for all supported AWS resources in the account. Use the DevOps Guru dashboard to find the analysis, recommendations, and related metrics.
C. Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure Amazon DevOps Guru to send notifications about important events to the company when anomalies are identified.
D. Configure email message reports for an Amazon QuickSight dashboard. Schedule and send the email reports to the company.
E. Create an Amazon S3 bucket. Store Amazon CloudWatch logs, AWS CloudTrail data, and AWS Config data in the S3 bucket. Use Amazon Athena to generate insights on the data. Create a dashboard by using Amazon QuickSight.

Answer: B,C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
AmazonDevOps Guruis a fully managed service that uses machine learning to detect anomalous application behavior and provides insights with recommended remediation actions to improve operational performance.
* Enabling DevOps Guru (Option A) covers many AWS resources automatically and reduces manual analysis.
* Configuring SNS notifications (Option B) allows the team to be proactively alerted about important events.
* Options C, D, and E require manual data setup, complex querying, and dashboard/reporting maintenance, which increase operational overhead.Therefore, the combination of enabling DevOps Guru and setting up notifications achieves the goals with minimal effort.
Reference:
Amazon DevOps Guru Overview:"DevOps Guru provides operational insights and anomaly detection with actionable recommendations."(Amazon DevOps Guru Documentation) Amazon DevOps Guru Notifications:"You can configure DevOps Guru to send notifications via Amazon SNS topics for detected anomalies."(DevOps Guru Notifications)

NEW QUESTION # 191
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