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AWS-DevOps-Engineer-Professional過去問無料 & AWS-DevOps-Engineer-Professional日本語
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DOP-C01試験は、継続的インテグレーション&デリバリー、インフラストラクチャー・コード、モニタリング&ログ、セキュリティ&コンプライアンス、自動化&最適化などのDevOpsに関連する幅広いトピックをカバーしています。候補者は、これらのトピックとAWSプラットフォームの関連を深く理解していることが求められます。試験では、候補者がDevOps環境でAWSサービスとアプリケーションを設計、実装、管理する能力もテストされます。
AWS Certified DevOps Engineer Professional試験は、AWSサービスおよびDevOps原則について徹底的に理解する必要がある厳しいテストです。受験者は、最新のDevOpsプラクティスとツールを使用してAWS上で複雑なシステムを設計、展開、および管理する能力がテストされます。この試験に合格することは、候補者がAWSプラットフォームのDevOps役割で優れた知識とスキルを持っており、現代のDevOpsプラクティスを採用する組織にとって貴重な資産であることを雇用主や同僚に示すことができます。
>> AWS-DevOps-Engineer-Professional過去問無料 <<
Amazon AWS-DevOps-Engineer-Professional日本語 & AWS-DevOps-Engineer-Professionalトレーニング費用
当社ShikenPASSの製品は、主要な質問と回答で精巧に構成されています。 AWS-DevOps-Engineer-Professionalガイドの質問を完了するために、過去の資料からキーを選択しています。 練習するのに20時間から30時間しかかかりません。 効果的な練習の後、AmazonのAWS-DevOps-Engineer-Professionalテスト問題から試験ポイントをマスターできます。 そうすれば、合格するのに十分な自信があります。
DOP-C01試験では、継続的な統合と継続的配信(CI/CD)、監視とロギング、コード、セキュリティ、コンプライアンス、展開戦略などのインフラストラクチャ、監視とロギング、展開戦略など、幅広いトピックをカバーしています。この試験は、候補者の知識とこれらのトピックに関する理解をテストする複数選択と複数の応答の質問で構成されています。 DOP-C01試験に合格するには、DevOpsの原則と実践、およびAWSプラットフォームとそのサービスに関する深い知識を完全に理解する必要があります。
Amazon AWS Certified DevOps Engineer - Professional 認定 AWS-DevOps-Engineer-Professional 試験問題 (Q315-Q320):
質問 # 315
A company is required to collect user consent to a privacy agreement. An application is deployed in six AWS Regions with two in North America, two in Europe, and two in Asia with a user base of 20-30 million users.
The company needs to read and write data related to each user's response, and ensure the responses are available in all six Regions.
What solution will satisfy these requirements while MINIMIZING latency?
- A. Implement Amazon ElastiCache for Redis replication group in each of the six Regions.
- B. Implement Amazon DocumentDB (with MongoDB compatibility) in each of the six Regions.
- C. Implement Amazon DynamoDB global tables in each of the six Regions.
- D. Implement Amazon Aurora Global Database in each of the six Regions.
正解:C
質問 # 316
A production account has a requirement that any Amazon EC2 instance that has been logged into manually must be terminated within 24 hours. All applications in the production account are using Auto Scaling groups with Amazon CloudWatch Logs agent configured.
How can this process be automated?
- A. Create a CloudWatch Logs subscription in an AWS Lambda function. Configure the function to add a tag to the EC2 instance that produced the login event and mark the instance to be decommissioned.
Create a CloudWatch Events rule to trigger a daily Lambda function that terminates all instances with this tag. - B. Create a CloudWatch alarm that will trigger on the login event. Configure the alarm to send to an Amazon SQS queue. Use a group of worker instances to process messages from the queue, which then schedules the Amazon CloudWatch Events rule to trigger.
- C. Create a CloudWatch Logs subscription to an AWS Step Functions application. Configure the function to add a tag to the EC2 instance that produced the login event and mark the instance to be decommissioned. Then create a CloudWatch Events rule to trigger a second AWS Lambda function once a day that will terminate all instances with this tag.
- D. Create a CloudWatch alarm that will trigger on the login event. Send the notification to an Amazon SNS topic that the Operations team is subscribed to, and have them terminate the EC2 instance within 24 hours.
正解:A
解説:
https://boto3.amazonaws.com/v1/documentation/api/latest/guide/cw-example-subscription- filters.html
質問 # 317
A company is migrating an application to AWS that runs on a single Amazon EC2 instance.
Because of licensing limitations, the application does not support horizontal scaling. The application will be using Amazon Aurora for its database.
How can the DevOps Engineer architect automated healing to automatically recover from EC2 and Aurora failures, in addition to recovering across Availability Zones (AZs), in the MOST cost- effective manner?
- A. Create an Amazon CloudWatch Events rule to trigger an AWS Lambda function to start a new EC2 instance in an available AZ when the instance status reaches a failure state. Create an Aurora database with a read replica in a second AZ, and promote it to a primary database instance when the primary database instance fails.
- B. Create an EC2 Auto Scaling group with a minimum and maximum instance count of 1, and have it span across AZs. Use a single-node Aurora instance.
- C. Assign an Elastic IP address on the instance. Create a second EC2 instance in a second AZ.
Create an Amazon CloudWatch Events rule to trigger an AWS Lambda function to move the Elastic IP address to the second instance when the first instance fails. Use a single-node Aurora instance. - D. Create an EC2 instance and enable instance recovery. Create an Aurora database with a read replica in a second AZ, and promote it to a primary database instance if the primary database instance fails.
正解:A
質問 # 318
You have a set of web servers hosted in A WS which host a web application used by a section of users. You want to monitor the number of errors which occur when using the web application. Which of the below options can be used for this purpose. Choose 3 answers from the options given below.
- A. Sendthe logs from the instances onto Cloudwatch logs.
- B. Searchforthe keyword "ERROR" in Cloudwatch logs.
- C. Searchfor the keyword "ERROR" in the log files on the server.
- D. Incrementa metric filter in Cloudwatch whenever the pattern is matched.
正解:A、B、D
解説:
Explanation
The AWS documentation mentions the following
You use metric filters to search for and match terms, phrases, or values in your log events. When a metric filter finds one of the terms, phrases, or values in your log events, you can increment the value of a CloudWatch metric. For example, you can create a metric filter to search for and count the occurrence of the word CRRORin your log events.
For more information on Cloudwatch logs - Filter and pattern matching, please refer to the below link:
http://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/FilterAndPatternSyntax.html
質問 # 319
You want to build an application that coordinates work across distributed components, and you find Amazon Simple Workflow Service (Amazon SWF) does this easily. You have enabled logging in CloudTrail, but you are unsure about Amazon SWF actions supported. Which of the following actions is NOT supported?
- A. RegisterActivityType
- B. RegisterWorkflowActivity
- C. RegisterDomain
- D. RegisterWorkflowType
正解:B
解説:
Amazon SWF is integrated with AWS CloudTrail, a service that captures API calls made by or on behalf of Amazon SWF and delivers the log files to an Amazon S3 bucket that you specify. The API calls can be made indirectly by using the Amazon SWF console or directly by using the Amazon SWF API.
When CloudTrail logging is enabled, calls made to Amazon SWF actions are tracked in log files.
Amazon SWF records are written together with any other AWS service records in a log file.
CloudTrail determines when to create and write to a new file based on a specified time period and file size.
The following actions are supported:
DeprecateActivityType
DeprecateDomain
DeprecateWorkflowType
RegisterActivityType
RegisterDomain
RegisterWorkflowType
Reference: http://docs.aws.amazon.com/amazonswf/latest/developerguide/ct-logging.html
質問 # 320
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