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NEW QUESTION: 1
A DevOps Engineer needs to design and implement a backup mechanism for Amazon EFS. The Engineer is given the following requirements: *The backup should run on schedule. *The backup should be stopped if the backup window expires. *The backup should be stopped if the backup completes before the backup window. *The backup logs should be retained for further analysis. The design should support highly available and fault-tolerant paradigms. *Administrators should be notified with backup metadata. Which design will meet these requirements?
A. Use AWS Lambda with an Amazon CloudWatch Events rule for scheduling the start/stop of backup activity. Run backup scripts on Amazon EC2 in an Auto Scaling group. Use Auto Scaling lifecycle hooks and the SSM Run Command on EC2 for uploading backup logs to Amazon S3. Use Amazon SNS to notify administrators with backup activity metadata.
B. Use Amazon SWF with an Amazon CloudWatch Events rule for scheduling the start/stop of backup activity. Run backup scripts on Amazon EC2 in an Auto Scaling group. Use Auto Scaling lifecycle hooks and the SSM Run Command on EC2 for uploading backup logs to Amazon Redshift. Use CloudWatch Alarms to notify administrators with backup activity metadata.
C. Use AWS Data Pipeline with an Amazon CloudWatch Events rule for scheduling the start/stop of backup activity. Run backup scripts on Amazon EC2 in a single Availability Zone. Use Auto Scaling lifecycle hooks and the SSM Run Command on EC2 for uploading the backup logs to Amazon RDS. Use Amazon SNS to notify administrators with backup activity metadata.
D. Use AWS CodePipeline with an Amazon CloudWatch Events rule for scheduling the start/stop of backup activity. Run backup scripts on Amazon EC2 in a single Availability Zone. Use Auto Scaling lifecycle hooks and the SSM Run Command on Amazon EC2 for uploading backup logs to Amazon S3. Use Amazon SES to notify admins with backup activity metadata.
Answer: A
Explanation:
https://docs.aws.amazon.com/efs/latest/ug/alternative-efs-backup.html

NEW QUESTION: 2
Azure Log Analyticsワークスペースを含むAzureサブスクリプションがあります。 100個の仮想マシンを含むリソースグループがあります。仮想マシンはLinuxを実行します。仮想マシンからLog Analyticsワークスペースにイベントを収集する必要があります。ワークスペースでどのタイプのデータソースを構成する必要がありますか？
A. Linux performance counters
B. Syslog
C. custom fields
Answer: B
Explanation:
https://docs.microsoft.com/en-us/azure/azure-monitor/learn/quick-collect-azurevm Syslog is an event logging protocol that is common to Linux. Applications will send messages that may be stored on the local machine or delivered to a Syslog collector. When the Log Analytics agent for Linux is installed, it configures the local Syslog daemon to forward messages to the agent. The agent then sends the message to Azure Monitor where a corresponding record is created.
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/data-sources-custom-logs

NEW QUESTION: 3
次のうち、認証トークンを送信するための最良のセキュリティ機能を提供するのはどれですか？
A. JavaScript Object Notation（JSON）
B. セキュリティアサーションマークアップ言語（SAML）
C. ターミナルアクセスコントローラアクセス制御システム（TACACS）
D. リモート認証ダイヤルインユーザーサービス（RADIUS）
Answer: B

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