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Amazon DOP-C02 Exam Syllabus Topics:

Topic	Details
Topic 1	Security and Compliance: This topic equips AWS DevOps Engineers with advanced techniques for identity and access management at scale. Engineers also apply automation for enforcing security controls and protecting sensitive data. Security monitoring and auditing solutions are emphasized, ensuring compliance and proactive threat mitigation.
Topic 2	Incident and Event Response: Aspiring AWS DevOps Engineers learn to manage event sources effectively, enabling appropriate actions in response to events. This involves implementing configuration changes and troubleshooting system and application failures. The topic underscores the importance of swift and precise incident management, a critical area assessed in the DOP-C02 Exam.
Topic 3	SDLC Automation: In this topic, AWS DevOps Engineers delve into implementing CI CD pipelines, enabling seamless code integration and delivery. This includes integrating automated testing into pipelines to ensure robust application quality. Additionally, engineers build and manage artifacts for efficient version control and deploy strategies tailored for instance-based, containerized, and serverless environments.
Topic 4	Monitoring and Logging: This topic focuses on configuring the collection, aggregation, and storage of logs and metrics, enabling AWS DevOps Engineers to monitor system health. Key skills include auditing, monitoring, and analyzing data to detect issues and automating monitoring processes for complex environments.

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Amazon DOP-C02 Certification Exam is an excellent opportunity for professionals to validate their skills and knowledge in AWS DevOps engineering. AWS Certified DevOps Engineer - Professional certification is highly valued in the industry and provides many opportunities for career growth. DOP-C02 exam tests the candidate's ability to design, manage, and implement AWS solutions using various DevOps tools and practices. AWS Certified DevOps Engineer - Professional certification is valid for three years, and professionals can renew it by passing the recertification exam or completing the required continuing education credits.

The AWS Certified DevOps Engineer - Professional certification exam is intended for professionals with at least two years of experience in DevOps and AWS. Candidates should have a strong grasp of AWS services, automation techniques, and best practices for continuous integration and delivery (CI/CD) pipelines. AWS Certified DevOps Engineer - Professional certification exam is a comprehensive test of the skills required to design, implement, and manage DevOps systems on AWS.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q56-Q61):

NEW QUESTION # 56
A security team is concerned that a developer can unintentionally attach an Elastic IP address to an Amazon EC2 instance in production. No developer should be allowed to attach an Elastic IP address to an instance. The security team must be notified if any production server has an Elastic IP address at any time How can this task be automated'?

A. Use Amazon Athena to query AWS CloudTrail logs to check for any associate-address attempts Create an AWS Lambda function to disassociate the Elastic IP address from the instance, and alert the security team.
B. Attach an 1AM policy to the developers' 1AM group to deny associate-address permissions Create a custom AWS Config rule to check whether an Elastic IP address is associated with any instance tagged as production, and alert the security team
C. Ensure that all 1AM groups associated with developers do not have associate-address permissions. Create a scheduled AWS Lambda function to check whether an Elastic IP address is associated with any instance tagged as production, and alert the secunty team if an instance has an Elastic IP address associated with it
D. Create an AWS Config rule to check that all production instances have EC2 1AM roles that include deny associate-address permissions Verify whether there is an Elastic IP address associated with any instance, and alert the security team if an instance has an Elastic IP address associated with it.

Answer: B

Explanation:
To prevent developers from unintentionally attaching an Elastic IP address to an Amazon EC2 instance in production, the best approach is to use IAM policies and AWS Config rules. By attaching an IAM policy that denies the associate-address permission to the developers' IAM group, you ensure that developers cannot perform this action. Additionally, creating a custom AWS Config rule to check for Elastic IP addresses associated with instances tagged as production provides ongoing monitoring. If the rule detects an Elastic IP address, it can trigger an alert to notify the security team. This method is proactive and enforces the necessary permissions while also providing a mechanism for detection and notification. Reference: from Amazon DevOps sources

NEW QUESTION # 57
A DevOps engineer is using AWS CodeDeploy across a fleet of Amazon EC2 instances in an EC2 Auto Scaling group. The associated CodeDeploy deployment group, which is integrated with EC2 Auto Scaling, is configured to perform in-place deployments with codeDeployDefault.oneAtATime During an ongoing new deployment, the engineer discovers that, although the overall deployment finished successfully, two out of five instances have the previous application revision deployed. The other three instances have the newest application revision What is likely causing this issue?

A. The CodeDeploy agent was not installed in two affected instances.
B. EC2 Auto Scaling launched two new instances while the new deployment had not yet finished, causing the previous version to be deployed on the affected instances.
C. A failed Afterinstall lifecycle event hook caused the CodeDeploy agent to roll back to the previous version on the affected instances
D. The two affected instances failed to fetch the new deployment.

Answer: C

Explanation:
When AWS CodeDeploy performs an in-place deployment, it updates the instances with the new application revision one at a time, as specified by the deployment configuration codeDeployDefault.oneAtATime. If a lifecycle event hook, such as AfterInstall, fails during the deployment, CodeDeploy will attempt to roll back to the previous version on the affected instances. This is likely what happened with the two instances that still have the previous application revision deployed. The failure of the AfterInstall lifecycle event hook triggered the rollback mechanism, resulting in those instances reverting to the previous application revision.
AWS CodeDeploy documentation on redeployment and rollback procedures1.
Stack Overflow discussions on re-deploying older revisions with AWS CodeDeploy2.
AWS CLI reference guide for deploying a revision2.

NEW QUESTION # 58
A company's application runs on Amazon EC2 instances. The application writes to a log file that records the username, date, time: and source IP address of the login. The log is published to a log group in Amazon CloudWatch Logs The company is performing a root cause analysis for an event that occurred on the previous day The company needs to know the number of logins for a specific user from the past 7 days Which solution will provide this information'?

A. Create a CloudWatch dashboard. Add a number widget that has a filter pattern that counts the number of logins for the username over the past 7 days directly from the log group
B. Create a CloudWatch Logs Insights query that uses an aggregation function to count the number of logins for the username over the past 7 days. Run the query against the log group
C. Create a CloudWatch Logs subscription on the log group Use a filter pattern that matches the username Publish a CloudWatch metric that sums the number of logins over the past 7 days
D. Create a CloudWatch Logs metric filter on the log group Use a filter pattern that matches the username. Publish a CloudWatch metric that sums the number of logins over the past 7 days.

Answer: B

Explanation:
To analyze and find the number of logins for a specific user from the past 7 days, a CloudWatch Logs Insights query is the most suitable solution. CloudWatch Logs Insights enables you to interactively search and analyze your log data in Amazon CloudWatch Logs. You can use the query language to perform queries that contain multiple commands, including aggregation functions, which can count the occurrences of logins for a specific username over a specified time period. This approach is more direct and efficient than creating a metric filter or subscription, which would require additional steps to publish and sum a metric. Reference: AWS Certified DevOps Engineer - Professional, CloudWatch Logs Insights query syntax, Tutorial: Run a query with an aggregation function, Add or remove a number widget from a CloudWatch dashboard.

NEW QUESTION # 59
A company wants to use AWS CloudFormation for infrastructure deployment. The company has strict tagging and resource requirements and wants to limit the deployment to two Regions. Developers will need to deploy multiple versions of the same application.
Which solution ensures resources are deployed in accordance with company policy?

A. Create AWS Trusted Advisor checks to find and remediate unapproved CloudFormation StackSets.
B. Create AWS Service Catalog products with approved CloudFormation templates.
C. Create a Cloud Formation drift detection operation to find and remediate unapproved CloudFormation StackSets.
D. Create CloudFormation StackSets with approved CloudFormation templates.

Answer: B

Explanation:
service catalog uses stacksets and can enforce tag and restrict resources AWS Customer case with tag enforcement https://aws.amazon.com/ko/blogs/apn/enforce-centralized-tag-compliance-using-aws-service-catalog-amazon-dynamodb-aws-lambda-and-amazon-cloudwatch-events/ And Youtube video showing how to restrict resources per user with portfolio https://www.youtube.com/watch?v=LzvhTcqqyog

NEW QUESTION # 60
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?

A. Create a recurring hourly Amazon EventBridge scheduled rule that invokes the Larnbda function. Modify the Lambda function to read the logs from the S3 bucket
B. Create an S3 event notification on the S3 bucket to invoke the Lambda function for s3.ObJectTagging:Put events. Enable bucket versioning on the S3 bucket.
C. Create an Amazon EventBridge rule that uses Amazon EC2 as the event source. Configure the rule to match events delivered by CloudTraiI. Configure the rule to target the Lambda function
D. Enable server access logging on the S3 bucket. Create an S3 event notification on the S3 bucket for s3. ObjectTaggIng.* events

Answer: C

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 # 61
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DOP-C02 Test Cram Review & Updated DOP-C02 Demo

Amazon DOP-C02 Exam Syllabus Topics:

Pass Guaranteed Quiz 2025 Trustable DOP-C02: AWS Certified DevOps Engineer - Professional Test Cram Review

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q56-Q61):

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