検証するDOP-C02 |真実的なDOP-C02試験解答試験 |試験の準備方法AWS Certified DevOps Engineer - Professional学習範囲
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この急速に変化する世界では、Amazon仕事と才能に対する要件は高く、人々が高給の仕事を見つけたい場合は、健康だけでなく作業能力も含むさまざまなスキルを高める必要があります。しかし、DOP-C02認定を取得すると、あなたの作業能力が証明され、理想的な仕事を見つけることができます。 DOP-C02試験に簡単に合格できる高品質のDOP-C02試験資料を提供します。また、DOP-C02試験の学習と準備にほとんど時間を必要としない多くの時間とエネルギーを節約できます。
この驚くほど高く受け入れられている試験に適合するには、DOP-C02学習教材のような上位の実践教材で準備する必要があります。彼らは時間とお金の面で最良の選択です。 DOP-C02トレーニング準備のすべての内容は、素人にfされているのではなく、この分野のエリートによって作成されています。弊社の優秀なヘルパーによる効率に魅了された数万人の受験者を引き付けたリーズナブルな価格に沿ってみましょう。難しい難問は、DOP-C02クイズガイドで解決します。
最新のDOP-C02試験解答 & 最新のAmazon認定トレーニング - 高合格率Amazon AWS Certified DevOps Engineer - Professional
しかし、DOP-C02「AWS Certified DevOps Engineer - Professional」試験は簡単ではありません。専門的な知識が必要で、もしあなたはまだこの方面の知識を欠かれば、JPNTestは君に向ける知識を提供いたします。JPNTestの専門家チームは彼らの知識や経験を利用してあなたの知識を広めることを助けています。そしてあなたにDOP-C02試験に関するテスト問題と解答が分析して差し上げるうちにあなたのIT専門知識を固めています。
Amazon DOP-C02認定を達成することは、DevOpsプラクティスとAWSサービスにおける高レベルの習熟度を示しています。これは、DevOpsとAWSでキャリアを進めたい専門家にとって貴重な資格です。この認定は、AWS認定DevOpsエンジニア - プロフェッショナルコミュニティへのアクセスも提供します。ここでは、認定された専門家が分野の他の人とつながり、知識とベストプラクティスを共有し、DevOpsとAWSの最新の開発について最新情報を入手できます。
Amazon AWS Certified DevOps Engineer - Professional 認定 DOP-C02 試験問題 (Q172-Q177):
質問 # 172
A company has configured an Amazon S3 event source on an AWS Lambda function The company needs the Lambda function to run when a new object is created or an existing object IS modified In a particular S3 bucket The Lambda function will use the S3 bucket name and the S3 object key of the incoming event to read the contents of the created or modified S3 object The Lambda function will parse the contents and save the parsed contents to an Amazon DynamoDB table.
The Lambda function's execution role has permissions to read from the S3 bucket and to write to the DynamoDB table, During testing, a DevOps engineer discovers that the Lambda function does not run when objects are added to the S3 bucket or when existing objects are modified.
Which solution will resolve this problem?
- A. Create a resource policy on the Lambda function to grant Amazon S3 the permission to invoke the Lambda function for the S3 bucket
- B. Configure an Amazon Simple Queue Service (Amazon SQS) queue as an OnFailure destination for the Lambda function
- C. Increase the memory of the Lambda function to give the function the ability to process large files from the S3 bucket.
- D. Provision space in the /tmp folder of the Lambda function to give the function the ability to process large files from the S3 bucket
正解:A
解説:
Option A is incorrect because increasing the memory of the Lambda function does not address the root cause of the problem, which is that the Lambda function is not triggered by the S3 event source. Increasing the memory of the Lambda function might improve its performance or reduce its execution time, but it does not affect its invocation. Moreover, increasing the memory of the Lambda function might incur higher costs, as Lambda charges based on the amount of memory allocated to the function.
Option B is correct because creating a resource policy on the Lambda function to grant Amazon S3 the permission to invoke the Lambda function for the S3 bucket is a necessary step to configure an S3 event source. A resource policy is a JSON document that defines who can access a Lambda resource and under what conditions. By granting Amazon S3 permission to invoke the Lambda function, the company ensures that the Lambda function runs when a new object is created or an existing object is modified in the S3 bucket1.
Option C is incorrect because configuring an Amazon Simple Queue Service (Amazon SQS) queue as an On- Failure destination for the Lambda function does not help with triggering the Lambda function. An On-Failure destination is a feature that allows Lambda to send events to another service, such as SQS or Amazon Simple Notification Service (Amazon SNS), when a function invocation fails. However, this feature only applies to asynchronous invocations, and S3 event sources use synchronous invocations. Therefore, configuring an SQS queue as an On-Failure destination would have no effect on the problem.
Option D is incorrect because provisioning space in the /tmp folder of the Lambda function does not address the root cause of the problem, which is that the Lambda function is not triggered by the S3 event source.
Provisioning space in the /tmp folder of the Lambda function might help with processing large files from the S3 bucket, as it provides temporary storage for up to 512 MB of data. However, it does not affect the invocation of the Lambda function.
References:
Using AWS Lambda with Amazon S3
Lambda resource access permissions
AWS Lambda destinations
[AWS Lambda file system]
質問 # 173
A company builds an application that uses an Application Load Balancer in front of Amazon EC2 instances that are in an Auto Scaling group. The application is stateless. The Auto Scaling group uses a custom AMI that is fully prebuilt. The EC2 instances do not have a custom bootstrapping process.
The AMI that the Auto Scaling group uses was recently deleted. The Auto Scaling group's scaling activities show failures because the AMI ID does not exist.
Which combination of steps should a DevOps engineer take to meet these requirements? (Select THREE.)
- A. Increase the Auto Scaling group's desired capacity by I.
- B. Create a new launch template that uses the new AMI.
- C. Reduce the Auto Scaling group's desired capacity to O.
- D. Update the Auto Scaling group to use the new launch template.
- E. Create a new AMI from a running EC2 instance in the Auto Scaling group.
- F. Create a new AMI by copying the most recent public AMI of the operating system that the EC2 instances use.
正解:B、D、F
解説:
Explanation
To restore the functionality of the Auto Scaling group after the AMI was deleted, the DevOps engineer needs to create a new AMI and update the Auto Scaling group to use it. The DevOps engineer can create a new AMI by copying the most recent public AMI of the operating system that the EC2 instances use. This will ensure that the new AMI has the same operating system as the custom AMI that was deleted. The DevOps engineer can then create a new launch template that uses the new AMI and update the Auto Scaling group to use the new launch template. This will allow the Auto Scaling group to launch new instances with the new AMI.
質問 # 174
A company uses containers for its applications The company learns that some container Images are missing required security configurations A DevOps engineer needs to implement a solution to create a standard base image The solution must publish the base image weekly to the us-west-2 Region, us-east-2 Region, and eu-central-1 Region.
Which solution will meet these requirements?
- A. Create an AWS CodePipeline pipeline that uses an AWS CodeBuild project to build the image Use AWS CodeDeploy to publish the image to Amazon Elastic Container Registry (Amazon ECR) repositories in all three Regions. Configure the pipeline to run weekly.
- B. Create an AWS CodePipeline pipeline that uses an AWS CodeBuild project to build the image Use AWS CodeOeploy to publish the image to an Amazon Elastic Container Registry (Amazon ECR) repository in us-west-2 Configure ECR replication from us-west-2 to us-east-2 and from us-east-2 to eu-central-1 Configure the pipeline to run weekly
- C. Create an EC2 Image Builder pipeline that uses a container recipe to build the image. Configure the pipeline to distribute the image to an Amazon Elastic Container Registry (Amazon ECR) repository in us-west-2. Configure ECR replication from us-west-2 to us-east-2 and from us-east-2 to eu-central-1 Configure the pipeline to run weekly
- D. Create an EC2 Image Builder pipeline that uses a container recipe to build the Image Configure the pipeline to distribute the image to Amazon Elastic Container Registry (Amazon ECR) repositories in all three Regions. Configure the pipeline to run weekly.
正解:D
解説:
Create an EC2 Image Builder Pipeline that Uses a Container Recipe to Build the Image:
EC2 Image Builder simplifies the creation, maintenance, validation, and sharing of container images.
By using a container recipe, you can define the base image, components, and validation tests for your container image.
Configure the Pipeline to Distribute the Image to Amazon Elastic Container Registry (Amazon ECR) Repositories in All Three Regions:
Amazon ECR provides a secure, scalable, and reliable container registry.
Configuring the pipeline to distribute the image to ECR repositories in us-west-2, us-east-2, and eu-central-1 ensures that the image is available in all required regions.
Configure the Pipeline to Run Weekly:
Setting the pipeline to run on a weekly schedule ensures that the base image is regularly updated and published, incorporating any new security configurations or updates.
By using EC2 Image Builder to automate the creation and distribution of the container image, the solution ensures that the base image is consistently maintained and available across multiple regions with minimal management overhead.
Reference:
EC2 Image Builder
Amazon ECR
Setting Up EC2 Image Builder Pipelines
質問 # 175
A company has multiple member accounts that are part of an organization in AWS Organizations. The security team needs to review every Amazon EC2 security group and their inbound and outbound rules. The security team wants to programmatically retrieve this information from the member accounts using an AWS Lambda function in the management account of the organization.
Which combination of access changes will meet these requirements? (Choose three.)
- A. Create an IAM role in the management account that has access to the AmazonEC2ReadOnlyAccess managed policy.
- B. Create an I AM role in the management account that allows the sts:AssumeRole action against the member account IAM role's ARN.
- C. Create an IAM role in each member account that has access to the AmazonEC2ReadOnlyAccess managed policy.
- D. Create a trust relationship that allows users in the member accounts to assume the management account IAM role.
- E. Create an I AM role in each member account to allow the sts:AssumeRole action against the management account IAM role's ARN.
- F. Create a trust relationship that allows users in the management account to assume the IAM roles of the member accounts.
正解:B、C、F
質問 # 176
A company has an application that runs on Amazon EC2 instances in an Auto Scaling group. The application processes a high volume of messages from an Amazon Simple Queue Service (Amazon SQS) queue.
A DevOps engineer noticed that the application took several hours to process a group of messages from the SQS queue. The average CPU utilization of the Auto Scaling group did not cross the threshold of a target tracking scaling policy when processing the messages. The application that processes the SQS queue publishes logs to Amazon CloudWatch Logs.
The DevOps engineer needs to ensure that the queue is processed quickly.
Which solution meets these requirements with the LEAST operational overhead?
- A. Create a target tracking scaling policy for the Auto Scaling group. In the target tracking policy, use the ApproximateNumberOfMessagesVisible SQS queue attribute and the GroupIn-ServiceInstances Auto Scaling group attribute to calculate how many messages are in the queue for each number of instances by using metric math. Use the calculated attribute to scale in and out.
- B. Create an AWS Lambda function. Configure the Lambda function to publish a custom metric by using the ApproximateNumberOfMessagesVisible SQS queue attribute and the GroupIn-ServiceInstances Auto Scaling group attribute to publish the queue messages for each instance. Create a CloudWatch subscription filter for the application logs with the Lambda function as the target. Create a target tracking scaling policy for the Auto Scaling group that uses the custom metric to scale in and out.
- C. Create an AWS Lambda function. Configure the Lambda function to publish a custom metric by using the ApproximateNumberOfMessagesVisible SQS queue attribute and the GroupIn-ServiceInstances Auto Scaling group attribute to publish the queue messages for each instance. Schedule an Amazon EventBridge rule to run the Lambda function every hour. Create a target tracking scaling policy for the Auto Scaling group that uses the custom metric to scale in and out.
- D. Create an AWS Lambda function that logs the ApproximateNumberOfMessagesVisible attribute of the SQS queue to a CloudWatch Logs log group. Schedule an Amazon EventBridge rule to run the Lambda function every 5 minutes. Create a metric filter to count the number of log events from a CloudWatch logs group. Create a target tracking scaling policy for the Auto Scaling group that uses the custom metric to scale in and out.
正解:A
解説:
The default CPU utilization metric does not reflect the processing backlog in the SQS queue, so the Auto Scaling group is not scaling properly to handle the workload.
To scale the Auto Scaling group based on queue length, you can create a target tracking scaling policy that uses a custom metric that combines the SQS queue ' s ApproximateNumberOfMessagesVisible and the number of instances (GroupIn-ServiceInstances) metric using CloudWatch metric math. This allows the scaling policy to calculate the average number of messages per instance and scale accordingly.
This approach requires no additional Lambda functions or log processing, thus minimizing operational overhead.
Option A and B require Lambda functions to publish custom metrics, which increases operational complexity.
Option D also adds complexity with logging and metric filters.
Reference:
Scaling based on SQS queue length using metric math: " You can create CloudWatch metric math expressions combining SQS and Auto Scaling group metrics to enable target tracking scaling policies that respond to queue backlog. " (AWS Auto Scaling with SQS) Target Tracking Scaling Policies: " Target tracking policies can use metric math expressions as a source to make scaling decisions. " (AWS Auto Scaling Target Tracking)
質問 # 177
......
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