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NEW QUESTION: 1
여러 Azure 웹앱을 호스팅하는 AdatumASP1이라는 Azure App Service 계획이 있습니다.
웹 앱이 느리게 응답하는 것을 발견했습니다.
웹 응용 프로그램의 각 인스턴스에 추가 메모리 및 CPU 리소스를 제공해야 합니다.
어떻게 해야 합니까?
A. 가상 머신 스케일 세트 추가
B. AdatumASP1 스케일 아웃
C. 멀티 인스턴스 스케일을 사용하는 WebJob 계속 추가
D. AdatumASP1 확장
Answer: D
Explanation:
Explanation
References:
https://github.com/MicrosoftDocs/azure-docs/blob/master/articles/app-service/web-sites-scale.md

NEW QUESTION: 2
Amazon 53에 객체를 넣을 때 객체가 성공적으로 저장되었다는 표시는 무엇입니까?
A. 각 S3 계정에는 _3_logs라는 특수 버킷이 있습니다. 성공 코드는 타임 스탬프와 체크섬으로 이 버킷에 작성됩니다.
B. Amazon S3는 99.999999999 %의 내구성을 위해 설계되었습니다. 따라서 데이터가 삽입되었는지 확인할 필요가 없습니다.
C. 성공 코드가 S3 객체 메타 데이터에 삽입됩니다.
D. HTTP 200 결과 코드와 MD5 체크섬이 함께 취해지면 작업이 성공했음을 나타냅니다.
Answer: D

NEW QUESTION: 3
Amazon EC2インスタンスで多数のアプリケーションを実行します。各アプリケーションには、コストセンター、サポート担当者、アプリケーションIDなどの関連メタデータがあります。
多くのアプリケーションは通常、各Amazon EC2インスタンス上に共存しているため、インスタンスあたりのメタデータの量は10〜200項目の範囲になります。
顧客は、インスタンスにログインせずにAPIを使用してこのメ​​タデータに素早くアクセスできるようにしたいと考えています。
次のオプションのうちどれがそれらの要件を満たすでしょうか？ 2つの答えを選んでください
A. メタデータアイテム用の複合Amazon EC2タグを作成します。複数のアイテムは個々のタグで結合され、それらをAmazon EC2インスタンスに関連付けます。
ec2-describe-tags API呼び出しを使用してメタデータにアクセスします。
B. 各メタデータアイテムに対して個別のAmazon EC2タグを作成し、それらをAmazon EC2インスタンスに関連付けます。
ec2-describe-instance API呼び出しを使用してメタデータにアクセスします。
C. Amazon EC2インスタンスのブートストラッププロセスの一環として、メタデータをAmazon EC2ユーザーデータに追加します。
同じVPC内の管理インスタンスからそのループバックアドレスにアクセスして、メタデータにアクセスします。
D. Amazon EC2インスタンスのブートストラップ処理の一環として、メタデータをAmazon EC2ユーザーデータに追加します。
ec2-describe-instance API呼び出しを使用してメタデータにアクセスします。
E. メタデータを保持するDynamoDBテーブルを作成し、それをアプリケーションを実行しているAmazon EC2インスタンスIDと関連付けます。
DynamoDB APIを介してデータベースにクエリを実行してメタデータにアクセスします。
Answer: A,E

NEW QUESTION: 4
次のアクティビティのどれがAuto Scalingポリシーによって実行されていませんか？
A. インスタンス数を増やす
B. 現在のインスタンスレベルの更新
C. インスタンス種別の変更
D. インスタンス数を減らす
Answer: C
Explanation:
Auto Scaling policies can scale up or down based on the user-defined policies, health status checks or schedules. It also performs a health check on the instances, terminates unhealthy instances, and launches healthy instances to maintain the current instance level. Scaling provides you with options, outside of scaling policies, to override attributes from the instance and use the values that you need. For example, you can override the instance type using AWS CLI commands.
Reference:
http://docs.aws.amazon.com/autoscaling/latest/userguide/create-lc-with-instanceID.html