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Amazon DOP-C02 Exam Overview:

Certification Vendor:	Amazon Web Services (AWS)
Exam Name:	AWS Certified DevOps Engineer - Professional (DOP-C02)
Exam Number:	DOP-C02
Real Exam Qty:	Approximately 65–75
Certificate Validity Period:	3 years
Exam Price:	$300 USD
Exam Duration:	180 minutes
Passing Score:	750 (scaled score out of 1000)
Related Certifications:	AWS Certified Developer – Associate AWS Certified SysOps Administrator – Associate AWS Certified Solutions Architect – Professional AWS Certified Solutions Architect – Associate
Available Languages:	Simplified Chinese, Japanese, Korean, English
Exam Format:	Multiple response, Multiple choice
Recommended Training:	AWS Skill Builder - DevOps Engineer Professional AWS Training and Certification Official Courses
Exam Registration:	AWS Certification Registration Portal Pearson VUE AWS Exams
Sample Questions:	Amazon DOP-C02 Sample Questions
Exam Way:	Online proctored exam or testing center (Pearson VUE)
Pre Condition:	No formal prerequisites required. AWS recommends 2+ years of experience provisioning, operating, and managing AWS environments and 1+ years of experience automating AWS workloads.
Official Syllabus URL:	https://aws.amazon.com/certification/certified-devops-engineer-professional/

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Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) Certification Exam is a highly sought-after certification for IT professionals working with cloud computing and DevOps methodologies. AWS Certified DevOps Engineer - Professional certification is designed for individuals who have experience working with AWS services, as well as implementing and managing continuous delivery systems and automation processes.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q434-Q439):

NEW QUESTION # 434
A DevOps engineer is planning to use the AWS Cloud Development Kit (AWS CDK) to manage infrastructure as code (IaC) for a microservices-based application. The DevOps engineer must create reusable components for common infrastructure patterns and must apply the same cost allocation tags across different microservices.
Which solution will meet these requirements?

A. Create a custom CDK construct library that includes common infrastructure patterns. Create a CDK app. Use the TagManager class to add cost allocation tags to the whole app. Use the custom CDK construct library to write a higher-level construct that contains all the microservices. Deploy the microservices as a single CDK stack with environment-specific configurations.
B. Create a custom CDK construct library that includes common infrastructure patterns. Create a CDK app. Use the Tags class to add cost allocation tags to the whole app. Use the custom CDK construct library to write higher-level constructs for each microservice. Deploy the microservices as separate CDK stacks with environment-specific configurations.
C. Create AWS Service Catalog products that contain common infrastructure components. Create a CDK app. Use the TagManager class to add cost allocation tags to the whole app. Use the Service Catalog products to write a higher-level construct that contains all the microservices. Deploy the microservices as a single CDK stack with environment-specific configurations.
D. Create AWS Service Catalog products that contain common infrastructure components. Create a CDK app. Use the Tags class to add cost allocation tags to the whole app. Use the Service Catalog products to write higher-level constructs for each microservice. Deploy the microservices as separate CDK stacks with environment-specific configurations.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer documents only:
Use custom constructs to encapsulate reusable patterns and deploy separate stacks per microservice for better isolation and environment-specific params. Apply tags programmatically at the app/stack/construct scope with Tags so all resources inherit them. This is the recommended CDK pattern to minimize duplication and maximize reusability.

NEW QUESTION # 435
A company is migrating its product development teams from an on-premises data center to a hybrid environment. The new environment will add four AWS Regions and will give the developers the ability to use the Region that is geographically closest to them.
All the development teams use a shared set of Linux applications. The on-premises data center stores the applications on a NetApp ONTAP storage device. The storage volume is mounted read-only on the development on-premises VMs. The company updates the applications on the shared volume once a week.
A DevOps engineer needs to replicate the data to all the new Regions. The DevOps engineer must ensure that the data is always up to date with deduplication. The data also must not be dependent on the availability of the on-premises storage device.
Which solution will meet these requirements?

A. Create an Amazon S3 File Gateway in the on-premises data center. Create S3 buckets in each Region.
Set up a cron job to copy the data from the storage device to the S3 File Gateway. Set up S3 Cross- Region Replication (CRR) to the S3 buckets in each Region.
B. Create an Amazon FSx File Gateway in one Region. Create file servers in Amazon FSx for Windows File Server in each Region. Set up a cron job to copy the data from the storage device to the FSx File Gateway.
C. Create Multi-AZ Amazon FSx for NetApp ONTAP instances and volumes in each Region. Configure a scheduled SnapMirror relationship between the on-premises storage device and the FSx for ONTAP instances.
D. Create an Amazon Elastic File System (Amazon EFS) file system in each Region. Deploy an AWS DataSync agent in the on-premises data center. Configure a schedule for DataSync to copy the data to Amazon EFS daily.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer documents only:
Amazon FSx for NetApp ONTAP provides NetApp ONTAP features in AWS, including SnapMirror replication and storage efficiencies like deduplication and compression. Create FSx for ONTAP in each Region and use SnapMirror from on-prem ONTAP to each Region for efficient, incremental replication.
Regions can serve data independently of on-prem availability once replicated.

NEW QUESTION # 436
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. 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.
B. 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.
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: B

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 # 437
A company has an application that includes AWS Lambda functions. The Lambda functions run Python code that is stored in an AWS CodeCommit repository. The company has recently experienced failures in the production environment because of an error in the Python code. An engineer has written unit tests for the Lambda functions to help avoid releasing any future defects into the production environment.
The company's DevOps team needs to implement a solution to integrate the unit tests into an existing AWS CodePipeline pipeline. The solution must produce reports about the unit tests for the company to view.
Which solution will meet these requirements?

A. Create a new AWS CodeArtifact repository. Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create an appspec.yml file in the original CodeCommit repository. In the appspec.yml file, define the actions to run the unit tests with an output of CUCUMBERJSON in the build phase section. Configure the tests reports to be sent to the new CodeArtifact repository.
B. Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create a CodeBuild report group. Create a buildspec.yml file in the CodeCommit repository. In the buildspec.yml file, define the actions to run the unit tests with an output of JUNITXML in the build phase section. Configure the test reports to be uploaded to the new CodeBuild report group.
C. Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create a new Amazon S3 bucket. Create a buildspec.yml file in the CodeCommit repository. In the buildspec.yml file, define the actions to run the unit tests with an output of HTML in the phases section. In the reports section, upload the test reports to the S3 bucket.
D. Associate the CodeCommit repository with Amazon CodeGuru Reviewer. Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create a buildspec.yml file in the CodeCommit repository. In the buildspec.yml file, define the actions to run a CodeGuru review.

Answer: B

Explanation:
The correct answer is B. Creating a new AWS CodeBuild project and configuring a test stage in the AWS CodePipeline pipeline that uses the new CodeBuild project is the best way to integrate the unit tests into the existing pipeline. Creating a CodeBuild report group and uploading the test reports to the new CodeBuild report group will produce reports about the unit tests for the company to view. Using JUNITXML as the output format for the unit tests is supported by CodeBuild and will generate a valid report.
Option A is incorrect because Amazon CodeGuru Reviewer is a service that provides automated code reviews and recommendations for improving code quality and performance. It is not a tool for running unit tests or producing test reports. Therefore, option A will not meet the requirements.
Option C is incorrect because AWS CodeArtifact is a service that provides secure, scalable, and cost-effective artifact management for software development. It is not a tool for running unit tests or producing test reports. Moreover, option C uses CUCUMBERJSON as the output format for the unit tests, which is not supported by CodeBuild and will not generate a valid report.
Option D is incorrect because uploading the test reports to an Amazon S3 bucket is not the best way to produce reports about the unit tests for the company to view. CodeBuild has a built-in feature to create and manage test reports, which is more convenient and efficient than using S3. Furthermore, option D uses HTML as the output format for the unit tests, which is not supported by CodeBuild and will not generate a valid report.

NEW QUESTION # 438
A company uses AWS CloudFormation to deploy application environments. A deployment failed due to manual modifications in stack resources. The DevOps engineer wants to detect manual modifications and alert the DevOps lead with the least effort.
Which solution meets these requirements?

A. Create an AWS Config managed rule CLOUDFORMATION_STACK_DRIFT_DETECTION_CHECK. Create an EventBridge rule on NON_COMPLIANT resources, and a Lambda to send email notifications.
B. Create an SNS topic, subscribe the DevOps lead, create a Config managed rule CLOUDFORMATION_STACK_DRIFT_DETECTION_CHECK. Create an EventBridge rule on COMPLIANT resources, set SNS as target.
C. Tag all CloudFormation resources, create a custom AWS Config rule via SDK that flags manual changes as NON_COMPLIANT, create an EventBridge rule and Lambda to send email notifications.
D. Create an SNS topic and subscribe the DevOps lead via email. Create an AWS Config managed rule with CLOUDFORMATION_STACK_DRIFT_DETECTION_CHECK. Create an EventBridge rule on NON_COMPLIANT resources and set SNS as target.

Answer: D

Explanation:
AWS Config offers a managed rule called
CLOUDFORMATION_STACK_DRIFT_DETECTION_CHECKto detect stack drift automatically.
* Creating an SNS topic and subscribing the DevOps lead enables simple notification without custom Lambda functions.
* An EventBridge rule that triggers on NON_COMPLIANT status (when drift is detected) can send alerts directly to SNS.Option B adds complexity by requiring custom rules and Lambda. Option C incorrectly triggers on COMPLIANT, not NON_COMPLIANT. Option D needs a Lambda for email, while SNS can send email directly.Hence, Option A offers the least operational effort.
References:
AWS Config Drift Detection
AWS Config Managed Rules

NEW QUESTION # 439
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