Questions and Answers: 166
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NEW QUESTION: 1
Which of the following user access control strategies include? (Multiple choice)
A. Access IP control
B. Device and user binding
C. Access time control
D. TC and computer binding
Answer: B,C,D
NEW QUESTION: 2
고객은 시장 전체에서 이용 가능한 모든 거래를 보여주는 웹 사이트를 가지고 있습니다. 이 사이트는
일반적으로 5 개의 큰 EC2 인스턴스.
그러나 추수 감사절 휴가 일주일 전에 거의 20 개의 큰 인스턴스가 발생합니다. 해당 기간 동안의 부하는 사무실 시간에 따라 하루 종일 다릅니다.
아래에 언급 된 솔루션 중 비용 효율적이며 웹 사이트의 성능을 향상시키는 데 도움이 되는 것은 무엇입니까?
A. 사전 휴가 기간 동안 10 개의 인스턴스를 실행하도록 설정하고 AutoScaling 일정을 사용하여 10 개의 인스턴스를 더 시작하여 근무 시간 동안 만 확장 할 수 있습니다.
B. 근무 시간 동안 매일 10 개의 인스턴스 만 실행하고 매일 10 개의 인스턴스를 수동으로 시작하십시오.
C. 사전 휴가 기간 동안 네트워크 I / O 정책에 따라 Auto Scaling을 사용하여 조직에서 15 개의 인스턴스가 실행되고 5 개의 인스턴스가 확장 및 축소되는 시나리오가 있는 시나리오.
D. 사전 휴가 기간 동안 20 개의 인스턴스가 연속적으로 실행되도록 설정합니다.
Answer: B
Explanation:
Explanation
AWS provides an on demand, scalable infrastructure. AWS EC2 allows the user to launch On- Demand instances and the organization should create an AMI of the running instance. When the organization is experiencing varying loads and the time of the load is not known but it is higher than the routine traffic it is recommended that the organization launches a few instances beforehand and then setups AutoScaling with policies which scale up and down as per the EC2 metrics, such as Network I/O or CPU utilization. If the organization keeps all 10 additional instances as a part of the AutoScaling policy sometimes during a sudden higher load it may take time to launch instances and may not give an optimal performance. This is the reason it is recommended that the organization keeps an additional 5 instances running and the next 5 instances scheduled as per the AutoScaling policy for cost effectiveness.
NEW QUESTION: 3
会社には、オンプレミスのサーバーで実行されているレガシーアプリケーションがあります。アプリケーションの信頼性を高めるために、同社はアプリケーションログを使用して実用的な洞察を得たいと考えています。ソリューションアーキテクトには、ソリューションに関する次の要件が与えられています。
* AWSを使用してログを集計します。
*エラーのログ分析を自動化します。
*エラーが指定されたしきい値を超えた場合、運用チームに通知します。
どのソリューションが要件を満たしていますか？
A. サーバーにAmazon Kinesis Agentをインストールし、ログをAmazon Kinesis Data Streamsに送信し、Amazon Kinesis Data Analyticsを使用してエラーを特定し、Amazon CloudWatchアラームを作成して運用チームにエラーを通知します
B. Amazon CloudWatchエージェントをサーバーにインストールし、ログをAmazon CloudWatch Logsに送信し、メトリックスフィルターを使用してエラーを特定し、オペレーションチームにエラーを通知するCloudWatchアラームを作成します。
C. サーバーにLogstashをインストールし、Amazon S3にログを送信し、Amazon Athenaを使用してエラーを特定し、sendmailを使用してオペレーションチームにエラーを通知します。
D. AWS X-Rayエージェントをサーバーにインストールし、AWS Lambdaにログを送信して分析してエラーを特定し、Amazon CloudWatch Eventsを使用してオペレーションチームにエラーを通知します。
Answer: A