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To pass the DOP-C02 exam, candidates need to have a deep understanding of AWS services, DevOps best practices, and how to deploy and manage AWS environments at scale. They also need to demonstrate their ability to design, implement, and automate AWS architectures for diverse use cases. Overall, the DOP-C02 certification is an essential requirement for anyone who wants to establish themselves as a credible and skilled DevOps professional in the industry.

The DOP-C02 Certification Exam is a comprehensive exam that covers a wide range of topics related to DevOps on the AWS platform. DOP-C02 exam consists of multiple-choice questions and scenario-based questions that require the candidate to apply their knowledge to real-world scenarios. DOP-C02 exam is timed, and the candidate has 180 minutes to complete it.

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The AWS Certified DevOps Engineer - Professional Exam is a highly respected certification that can significantly enhance a candidate's career opportunities. AWS Certified DevOps Engineer - Professional certification demonstrates a candidate's advanced knowledge and skills in DevOps practices and AWS technologies, making them highly desirable to employers in a variety of industries. Additionally, this certification can help candidates advance their careers by providing them with the necessary skills to design and manage complex systems that support continuous delivery and integration.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q21-Q26):

NEW QUESTION # 21
A company uses AWS CloudFormation stacks to deploy updates to its application. The stacks consist of different resources. The resources include AWS Auto Scaling groups, Amazon EC2 instances, Application Load Balancers (ALBs), and other resources that are necessary to launch and maintain independent stacks. Changes to application resources outside of CloudFormation stack updates are not allowed.
The company recently attempted to update the application stack by using the AWS CLI. The stack failed to update and produced the following error message: "ERROR: both the deployment and the CloudFormation stack rollback failed. The deployment failed because the following resource(s) failed to update: [AutoScalingGroup]." The stack remains in a status of UPDATE_ROLLBACK_FAILED. * Which solution will resolve this issue?

Answer: D


NEW QUESTION # 22
A company has multiple development teams in different business units that work in a shared single AWS account All Amazon EC2 resources that are created in the account must include tags that specify who created the resources. The tagging must occur within the first hour of resource creation.
A DevOps engineer needs to add tags to the created resources that Include the user ID that created the resource and the cost center ID The DevOps engineer configures an AWS Lambda Function with the cost center mappings to tag the resources. The DevOps engineer also sets up AWS CloudTrail in the AWS account. An Amazon S3 bucket stores the CloudTrail event logs Which solution will meet the tagging requirements?

Answer: B

Explanation:
Explanation
* Option A is incorrect because S3 event notifications do not support s3.ObjectTagging:Put events. S3 event notifications only support events related to object creation, deletion, replication, and restore.
Moreover, enabling bucket versioning on the S3 bucket is not relevant to the tagging requirements, as it only keeps multiple versions of objects in the bucket.
* Option B is incorrect because enabling server access logging on the S3 bucket does not help with tagging the resources. Server access logging only records requests for access to the bucket or its objects.
It does not capture the user ID or the cost center ID of the resources. Furthermore, creating an S3 event notification on the S3 bucket for s3.ObjectTagging:Put events is not possible, as explained in option A.
* Option C is incorrect because creating a recurring hourly Amazon EventBridge scheduled rule that invokes the Lambda function is not efficient or timely. The Lambda function would have to read the logs from the S3 bucket every hour and tag the resources accordingly, which could incur unnecessary costs and delays. A better solution would be to trigger the Lambda function as soon as a resource is created, rather than waiting for an hourly schedule.
* Option D is correct because creating an Amazon EventBridge rule that uses Amazon EC2 as the event source and matches events delivered by CloudTrail is a valid way to tag the resources. CloudTrail records all API calls made to AWS services, including EC2, and delivers them as events to EventBridge.
The EventBridge rule can filter the events based on the user ID and the resource type, and then target the Lambda function to tag the resources with the cost center ID. This solution meets the tagging requirements in a timely and efficient manner.
References:
* S3 event notifications
* Server access logging
* Amazon EventBridge rules
* AWS CloudTrail


NEW QUESTION # 23
A company is using AWS to run digital workloads. Each application team in the company has its own AWS account for application hosting. The accounts are consolidated in an organization in AWS Organizations.
The company wants to enforce security standards across the entire organization. To avoid noncompliance because of security misconfiguration, the company has enforced the use of AWS CloudFormation. A production support team can modify resources in the production environment by using the AWS Management Console to troubleshoot and resolve application-related issues.
A DevOps engineer must implement a solution to identify in near real time any AWS service misconfiguration that results in noncompliance. The solution must automatically remediate the issue within 15 minutes of identification. The solution also must track noncompliant resources and events in a centralized dashboard with accurate timestamps.
Which solution will meet these requirements with the LEAST development overhead?

Answer: B


NEW QUESTION # 24
A developer is using the AWS Serverless Application Model (AWS SAM) to create a prototype for an AWS Lambda function. The AWS SAM template contains an AWS::Serverless::Function resource that has the CodeUri property pointing to an Amazon S3 location. The developer wants to identify the correct commands for deployment before creating a CI/CD pipeline.
The developer creates an archive of the Lambda function code named package.zip, uploads the .zip file archive to the S3 location specified in the CodeUri property, and runs the sam deploy command to deploy the Lambda function. The developer updates the Lambda function code and uses the same steps to deploy the new version. The sam deploy command fails and returns an error of " no changes to deploy. " Which solutions will deploy the new version? (Select TWO.)

Answer: A,D

Explanation:
When the CodeUri property points directly to a static S3 object path, AWS CloudFormation detects no template changes between deployments because the S3 URI remains identical even after you upload updated code to the same key. The solution is to reference local source code so that SAM or CloudFormation can compute a content hash, upload the artifact with a unique S3 key, and update the template, creating a detectable change. Option C works because sam deploy with a local CodeUri path automatically packages the function, uploads it to S3 with a hash-derived key, and deploys the updated stack. Option E works for the same reason: aws cloudformation package computes the hash, uploads the artifact, and produces a packaged template that aws cloudformation deploy can then apply. Options A and B do not resolve the root cause and are not designed for SAM Lambda packaging.


NEW QUESTION # 25
A DevOps engineer uses AWS WAF to manage web ACLs across an AWS account. The DevOps engineer must ensure that AWS WAF is enabled for all Application Load Balancers (ALBs) in the account. The DevOps engineer uses an AWS CloudFormation template to deploy an individual ALB and AWS WAF as part of each application stack's deployment process. If AWS WAF is removed from the ALB after the ALB is deployed, AWS WAF must be added to the ALB automatically.
Which solution will meet these requirements with the MOST operational efficiency?

Answer: D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
AWS Config has a managed rule called alb-waf-enabled that checks whether AWS WAF is enabled on ALBs. AWS Config supports automatic remediation actions that can be triggered when noncompliance is detected.
By creating a Systems Manager Automation document that adds AWS WAF to the ALB and associating it as the remediation action for the AWS Config rule, the system can automatically detect and remediate any removal of AWS WAF from ALBs without manual intervention.
This is the most operationally efficient and reliable approach to ensure continuous compliance.
Option B lacks automatic remediation. Options C and D rely on drift detection and Lambda, which add complexity and risk downtime during stack replacement.
Reference:
AWS Config Managed Rules:"The alb-waf-enabled rule checks for AWS WAF association with ALBs and supports automatic remediation using Systems Manager Automation."(AWS Config Managed Rules) AWS Config Remediation:"AWS Config automatic remediation can invoke Systems Manager Automation documents to remediate noncompliance."(AWS Config Remediation)


NEW QUESTION # 26
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