Amazon DOP-C02 Fragen Beantworten & DOP-C02 Prüfungsübungen

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Amazon DOP-C02 Exam Overview:

Certification Vendor:	Amazon AWS
Exam Name:	AWS Certified DevOps Engineer - Professional
Exam Number:	DOP-C02
Exam Duration:	180 minutes
Exam Format:	Multiple choice, Multiple response
Related Certifications:	AWS Certified SysOps Administrator - Associate AWS Certified Developer - Associate
Real Exam Qty:	75 (65 scored, 10 unscored)
Exam Price:	300 USD
Certificate Validity Period:	3 years
Available Languages:	English, Traditional Chinese, Japanese, Simplified Chinese, Korean
Passing Score:	750 (scaled score 100–1000)
Recommended Training:	AWS Certified DevOps Engineer - Professional Exam Guide AWS Training and Certification
Exam Registration:	Pearson VUE Registration AWS Certification Registration
Sample Questions:	Amazon DOP-C02 Sample Questions
Exam Way:	Online proctored or onsite at testing centers
Pre Condition:	Recommended: AWS Certified Developer - Associate or AWS Certified SysOps Administrator - Associate, plus 2+ years of hands-on experience provisioning, operating, and managing AWS environments
Official Syllabus URL:	https://docs.aws.amazon.com/aws-certification/latest/devops-engineer-professional-02/devops-engineer-professional-02.html

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Wollen Sie den Plan machen, dass Sie Amazon DOP-C02 Zertifizierungsprüfung ablegen, um Ihre Fähigkeit zu entwickeln. Wenn Sie Amazon DOP-C02 Prüfung ablegen, ob Sie die geeigneten Lernhilfe finden? Und welche Unterlage sind wertvoll? Haben Sie Amazon DOP-C02 Dumps gewählt? Wenn ja, sorgen Sie sich bitte nicht um den Misserfolg.

Die Amazon DOP-C02-Prüfung ist eine von Amazon Web Services (AWS) angebotene Zertifizierung auf professioneller Ebene für Personen, die ihr Fachwissen in DevOps-Praktiken und -Tools demonstrieren möchten. Diese Zertifizierung richtet sich an erfahrene DevOps -Fachkräfte, die die AWS -Plattform ein tiefes Verständnis haben und DevOps -Lösungen im Maßstab entwerfen, implementieren und verwalten können.

Die Amazon DOP-C02-Zertifizierung ist ein wertvoller Berechtigungsnachweis für IT-Fachkräfte, die ihr Fachwissen in DevOps und AWS validieren möchten. Die Zertifizierungsprüfung testet das Wissen und die Fähigkeiten des Kandidaten in verschiedenen Bereichen im Zusammenhang mit DevOps und das Bestehen der Prüfung zeigt die Fähigkeit des Kandidaten, AWS -Dienste mithilfe von DevOps -Methoden zu entwerfen, bereitzustellen und zu verwalten. Kandidaten können sich auf die Prüfung vorbereiten, indem sie ihre Erfahrungen mit AWS -Diensten und DevOps -Praktiken einsetzen und verschiedene von AWS bereitgestellte Ressourcen nutzen.

Amazon AWS Certified DevOps Engineer - Professional DOP-C02 Prüfungsfragen mit Lösungen (Q116-Q121):

116. Frage
An IT team has built an AWS CloudFormation template so others in the company can quickly and reliably deploy and terminate an application. The template creates an Amazon EC2 instance with a user data script to install the application and an Amazon S3 bucket that the application uses to serve static webpages while it is running.
All resources should be removed when the CloudFormation stack is deleted. However, the team observes that CloudFormation reports an error during stack deletion, and the S3 bucket created by the stack is not deleted.
How can the team resolve the error in the MOST efficient manner to ensure that all resources are deleted without errors?

A. Add a DelelionPolicy attribute to the S3 bucket resource, with the value Delete forcing the bucket to be removed when the stack is deleted.
B. Identify the resource that was not deleted. Manually empty the S3 bucket and then delete it.
C. Replace the EC2 and S3 bucket resources with a single AWS OpsWorks Stacks resource. Define a custom recipe for the stack to create and delete the EC2 instance and the S3 bucket.
D. Add a custom resource with an AWS Lambda function with the DependsOn attribute specifying the S3 bucket, and an IAM role. Write the Lambda function to delete all objects from the bucket when RequestType is Delete.

Antwort: D

Begründung:
Explanation
https://aws.amazon.com/premiumsupport/knowledge-center/cloudformation-s3-custom-resources/

117. Frage
A company has many AWS accounts. During AWS account creation the company uses automation to create an Amazon CloudWatch Logs log group in every AWS Region that the company operates in. The automaton configures new resources in the accounts to publish logs to the provisioned log groups in their Region.
The company has created a logging account to centralize the logging from all the other accounts. A DevOps engineer needs to aggregate the log groups from all the accounts to an existing Amazon S3 bucket in the logging account.
Which solution will meet these requirements in the MOST operationally efficient manner?

A. In the logging account create a CloudWatch Logs destination with a destination policy for each Region. For each new account subscribe the CloudWatch Logs log groups to the destination. Configure a single Amazon Kinesis data stream and a single Amazon Kinesis Data Firehose delivery stream to deliver the logs from all the CloudWatch Logs destinations to the S3 bucket.
B. In the logging account create a CloudWatch Logs destination with a destination policy. For each new account subscribe the CloudWatch Logs log groups to the. Destination Configure a single Amazon Kinesis data stream and a single Amazon Kinesis Data Firehose delivery stream to deliver the logs from the CloudWatch Logs destination to the S3 bucket.
C. In the logging account create a CloudWatch Logs destination with a destination policy for each Region. For each new account subscribe the CloudWatch Logs log groups to the destination Configure an Amazon Kinesis data stream and an Amazon Kinesis Data Firehose delivery stream for each Region to deliver the logs from the CloudWatch Logs destinations to the S3 bucket.
D. In the logging account create a CloudWatch Logs destination with a destination policy. For each new account subscribe the CloudWatch Logs log groups to the destination. Configure a single Amazon Kinesis data stream to deliver the logs from the CloudWatch Logs destination to the S3 bucket.

Antwort: C

Begründung:
This solution will meet the requirements in the most operationally efficient manner because it will use CloudWatch Logs destination to aggregate the log groups from all the accounts to a single S3 bucket in the logging account. However, unlike option A, this solution will create a CloudWatch Logs destination for each region, instead of a single destination for all regions. This will improve the performance and reliability of the log delivery, as it will avoid cross-region data transfer and latency issues. Moreover, this solution will use an Amazon Kinesis data stream and an Amazon Kinesis Data Firehose delivery stream for each region, instead of a single stream for all regions. This will also improve the scalability and throughput of the log delivery, as it will avoid bottlenecks and throttling issues that may occur with a single stream.

118. Frage
A DevOps engineer is working on a data archival project that requires the migration of on-premises data to an Amazon S3 bucket. The DevOps engineer develops a script that incrementally archives on-premises data that is older than 1 month to Amazon S3. Data that is transferred to Amazon S3 is deleted from the on-premises location The script uses the S3 PutObject operation.
During a code review the DevOps engineer notices that the script does not verity whether the data was successfully copied to Amazon S3. The DevOps engineer must update the script to ensure that data is not corrupted during transmission. The script must use MD5 checksums to verify data integrity before the on-premises data is deleted.
Which solutions for the script will meet these requirements'? (Select TWO.)

A. Include the checksum digest within the tagging parameter as a URL query parameter.
B. Check the returned response for the Versioned Compare the returned Versioned against the MD5 checksum.
C. Include the MD5 checksum within the Content-MD5 parameter. Check the operation call's return status to find out if an error was returned.
D. Include the checksum digest within the Metadata parameter as a name-value pair After upload use the S3 HeadObject operation to retrieve metadata from the object.
E. Check the returned response for the ETag. Compare the returned ETag against the MD5 checksum.

Antwort: C,E

Begründung:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/checking-object-integrity.html

119. Frage
A company is examining its disaster recovery capability and wants the ability to switch over its daily operations to a secondary AWS Region. The company uses AWS CodeCommit as a source control tool in the primary Region.
A DevOps engineer must provide the capability for the company to develop code in the secondary Region. If the company needs to use the secondary Region, developers can add an additional remote URL to their local Git configuration.
Which solution will meet these requirements?

A. Create an Amazon S3 bucket in the secondary Region. Create an AWS Fargate task to perform a Git mirror operation of the primary Region's CodeCommit repository and copy the result to the S3 bucket.
Create an AWS Lambda function that initiates the Fargate task. Create an Amazon EventBridge rule that reacts to merge events in the CodeCommit repository. Configure the EventBridge rule to invoke the Lambda function.
B. Create a CodeCommit repository in the secondary Region. Create an AWS CodeBuild project to perform a Git mirror operation of the primary Region's CodeCommit repository to the secondary Region's CodeCommit repository. Create an AWS Lambda function that invokes the CodeBuild project. Create an Amazon EventBridge rule that reacts to merge events in the primary Region's CodeCommit repository. Configure the EventBridge rule to invoke the Lambda function.
C. Create an AWS Cloud9 environment and a CodeCommit repository in the secondary Region. Configure the primary Region's CodeCommit repository as a remote repository in the AWS Cloud9 environment.Connect the secondary Region's CodeCommit repository to the AWS Cloud9 environment.
D. Create an AWS CodeArtifact repository in the secondary Region. Create an AWS CodePipeline pipeline that uses the primary Region's CodeCommit repository for the source action. Create a Cross- Region stage in the pipeline that packages the CodeCommit repository contents and stores the contents in the CodeArtifact repository when a pull request is merged into the CodeCommit repository.

Antwort: B

Begründung:
The best solution to meet the disaster recovery capability and allow developers to switch over to a secondary AWS Region for code development is option A. This involves creating a CodeCommit repository in the secondary Region and setting up an AWS CodeBuild project to perform a Git mirror operation of the primary Region's CodeCommit repository to the secondary Region's repository. An AWS Lambda function is then created to invoke the CodeBuild project. Additionally, an Amazon EventBridge rule is configured to react to merge events in the primary Region's CodeCommit repository and invoke the Lambda function12. This setup ensures that the secondary Region's repository is always up-to-date with the primary repository, allowing for a seamless transition in case of a disaster recovery event1.
AWS CodeCommit User Guide on resilience and disaster recovery1.
AWS Documentation on monitoring CodeCommit events in Amazon EventBridge and Amazon CloudWatch Events2.

120. Frage
A space exploration company receives telemetry data from multiple satellites. Small packets of data are received through Amazon API Gateway and are placed directly into an Amazon Simple Queue Service (Amazon SQS) standard queue. A custom application is subscribed to the queue and transforms the data into a standard format.
Because of inconsistencies in the data that the satellites produce, the application is occasionally unable to transform the dat a. In these cases, the messages remain in the SQS queue. A DevOps engineer must develop a solution that retains the failed messages and makes them available to scientists for review and future processing.
Which solution will meet these requirements?

A. Create an SQS dead-letter queue. Modify the existing queue by including a redrive policy that sets the Maximum Receives setting to 1 and sets the dead-letter queue ARN to the ARN of the newly created queue. Instruct the scientists to use the dead-letter queue to review the data that is not valid. Reprocess this data at a later time.
B. Configure API Gateway to send messages to different SQS virtual queues that are named for each of the satellites. Update the application to use a new virtual queue for any data that it cannot transform, and send the message to the new virtual queue. Instruct the scientists to use the virtual queue to review the data that is not valid. Reprocess this data at a later time.
C. Configure AWS Lambda to poll the SQS queue and invoke a Lambda function to check whether the queue messages are valid. If validation fails, send a copy of the data that is not valid to an Amazon S3 bucket so that the scientists can review and correct the data. When the data is corrected, amend the message in the SQS queue by using a replay Lambda function with the corrected data.
D. Convert the SQS standard queue to an SQS FIFO queue. Configure AWS Lambda to poll the SQS queue every 10 minutes by using an Amazon EventBridge schedule. Invoke the Lambda function to identify any messages with a SentTimestamp value that is older than 5 minutes, push the data to the same location as the application's output location, and remove the messages from the queue.

Antwort: A

Begründung:
Create an SQS dead-letter queue. Modify the existing queue by including a redrive policy that sets the Maximum Receives setting to 1 and sets the dead-letter queue ARN to the ARN of the newly created queue. Instruct the scientists to use the dead-letter queue to review the data that is not valid. Reprocess this data at a later time.

121. Frage
......

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