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NEW QUESTION: 1
They ______ their offer of aid when they became disillusioned with the project
A. constrained
B. redoubled
C. bolstered
D. expanded
E. rescinded
Answer: E
Explanation:
Explanation/Reference:
The sentence describes people who are disillusioned with a project. They are therefore most likely to
rescind, or withdraw, their offer of aid.
NEW QUESTION: 2
エンタープライズアーキテクトは、災害復旧演習を行った後、別のAWSリージョンでフラグシップアプリケーションのデータベースを機能させるために、データベースおよびストレージ管理者の大規模なチームが7時間以上の手動作業を必要としていることに気付きました。また、アーキテクトは、リカバリされたデータベースに多くの場合2時間ものデータトランザクションが欠落していることを発見しました。クロスリージョンフェイルオーバーシナリオでRTOとRPOを改善するソリューションはどれですか。
A. Amazon RDSを呼び出してデータベースインスタンスからスナップショットを作成し、RPOと一致する頻度を指定する、スケジュールされたAmazon CloudWatchイベントルールを作成します。 AWSステップ関数タスクを作成してAmazon RDSを呼び出し、フェイルオーバーリージョンへのクロスリージョンスナップショットコピーを実行し、RDSスナップショットの作成状態が完了したときにタスクを実行するようにステートマシンを構成します。 RDS可用性イベントにサブスクライブするSNSトピックを作成し、これらのメッセージをフェイルオーバーリージョンにあるAmazon SQSキューにプッシュします。ワーカーノードのAuto Scalingグループを設定して、新しいメッセージのキューをポーリングし、Amazon RDSを呼び出して、クロスリージョンにコピーされたスナップショットのチェックサムが有効になった後、スナップショットからデータベースを復元します。
B. マルチリージョンAmazon EFSによってサポートされるAmazon RDSマルチAZインスタンスをデプロイします。 RDSオプショングループを構成して、マルチリージョンの可用性を有効にして、クロスリージョンリカバリと継続的なデータレプリケーションのネイティブな自動化を実現します。 RDSの影響を受けるイベントにサブスクライブしたAmazon SNSトピックを作成して、単一のアベイラビリティーゾーンで重大なクエリレイテンシーが検出されたときにデータベース管理チームにメールを送信します。
C. Amazon SNSトピックを使用して、Amazon RDSの可用性およびバックアップイベントから発行されたメッセージを受信します。 Amazon RDSを呼び出してデータベースインスタンスのスナップショットを作成し、クロスリージョンスナップショットコピーを作成して、スナップショットからインスタンスを復元する3つの個別の関数にAWS Lambdaを使用します。 RPOに一致する頻度でスケジュールされたAmazon CloudWatchイベントルールを使用して、Lambda関数をトリガーし、データベースインスタンスをスナップショットします。バックアップイベントのSNSトピックが新しいメッセージを受信したときに、Lambda関数をトリガーしてクロスリージョンスナップショットコピーを作成します。 Lambda関数を構成して、スナップショットからインスタンスを復元し、可用性SNSトピックに発行された新しいメッセージの送信をトリガーします。
D. Amazon RDSのスケジュールされたインスタンスライフサイクルイベントを使用してスナップショットを作成し、RPOに一致する頻度を指定します。 Amazon RDSのスケジュールされたインスタンスのライフサイクルイベント設定を使用して、SnapshotCreateCompleteイベントでフェイルオーバーリージョンにクロスリージョンスナップショットコピーを実行します。データベースインスタンスのCloudWatch RDS名前空間CPUUtilizationメトリックスが0％に低下したときにアラートを出すようにAmazon CloudWatchを設定し、Amazon RDSを呼び出してフェイルオーバーリージョンでデータベーススナップショットを復元します。
Answer: C
Explanation:
https://aws.amazon.com/blogs/database/cross-region-automatic-disaster-recovery-on-amazon-rds-for-oracle-database-using-db-snapshots-and-aws-lambda/
NEW QUESTION: 3
한 회사에 20PB HDFS 데이터베이스가 있는 대규모 온 프레미스 Apache Hadoop 클러스터가 있습니다. 클러스터는 약 200 개의 인스턴스와 1PB 씩 분기마다 증가하고 있습니다. 회사의 목표는 Hadoop 데이터의 복원력을 활성화하고 클러스터 노드 손실의 영향을 제한하며 비용을 크게 줄이는 것입니다. 현재 클러스터는 연중 무휴 24 시간 실행되며 대화 형 쿼리 및 일괄 처리를 포함한 다양한 분석 워크로드를 지원합니다.
최소한의 비용과 가동 중지 시간으로 이러한 요구 사항을 충족하는 솔루션은 무엇입니까?
A. AWS Snowmobile을 사용하여 기존 클러스터 데이터를 Amazon S3로 마이그레이션합니다. 온 프레미스 클러스터의 기록 데이터를 기반으로 대화 형 워크로드를 처리하도록 초기에 크기가 조정 된 영구 Amazon EMR 클러스터를 생성합니다. EMRFS에 데이터를 저장합니다. 마스터 및 코어 노드 용 예약 인스턴스와 작업 노드 용 스팟 인스턴스, Amazon CloudWatch 지표를 기반으로 작업 노드 자동 확장을 사용하여 비용을 최소화합니다. 유사하게 최적화 된 배치 워크로드를 위해 작업별로 최적화 된 클러스터를 생성합니다.
B. AWS Snowmobile을 사용하여 기존 클러스터 데이터를 Amazon S3로 마이그레이션 합니다. 현재 클러스터와 크기 및 구성이 유사한 영구 Amazon EMR 클러스터를 생성합니다. EMRFS에 데이터를 저장합니다. 예약 인스턴스를 사용하여 비용을 최소화합니다. 워크로드가 분기마다 증가함에 따라 추가 예약 인스턴스를 구매하고 클러스터에 추가하십시오.
C. AWS Direct Connect를 사용하여 기존 클러스터 데이터를 Amazon S3로 마이그레이션합니다. 온 프레미스 클러스터의 기록 데이터를 기반으로 대화 형 워크로드를 처리하도록 초기에 크기가 조정 된 영구 Amazon EMR 클러스터를 생성합니다. EMRFS에 데이터를 저장합니다. 마스터 및 코어 노드 용 예약 인스턴스와 작업 노드 용 스팟 인스턴스, Amazon CloudWatch 지표를 기반으로 작업 노드 자동 확장을 사용하여 비용을 최소화합니다. 유사하게 최적화 된 배치 워크로드를 위해 작업별로 최적화 된 클러스터를 생성합니다.
Q : Snowmobile과 Snowball 중에서 어떻게 선택해야 합니까?
단일 위치에서 10PB 이상의 대규모 데이터 세트를 마이그레이션 하려면 Snowmobile을 사용해야 합니다. 10PB 미만이거나 여러 위치에 배포 된 데이터 세트의 경우 Snowball을 사용해야 합니다. 또한 네트워크 백본에서 사용 가능한 대역폭의 양을 평가해야 합니다. 수백 Gb / s의 예비 처리량을 가진 고속 백본이 있는 경우 Snowmobile을 사용하여 대규모 데이터 세트를 한 번에 마이그레이션 할 수 있습니다. 백본에 제한된 대역폭이 있는 경우 여러 Snowball을 사용하여 데이터를 점진적으로 마이그레이션하는 것을 고려해야 합니다.
D. AWS Snowball을 사용하여 기존 클러스터 데이터를 Amazon S3로 마이그레이션합니다. 온 프레미스 클러스터의 기록 데이터를 기반으로 대화 형 워크로드를 처리하도록 초기에 크기가 조정 된 영구 Amazon EMR 클러스터를 생성합니다. EMRFS에 저장하십시오. 마스터 및 코어 노드 용 예약 인스턴스와 작업 노드 용 스팟 인스턴스, Amazon CloudWatch 지표를 기반으로 작업 노드 자동 확장을 사용하여 비용을 최소화합니다. 유사하게 최적화 된 배치 워크로드를 위해 작업별로 최적화 된 클러스터를 생성합니다.
Answer: A
NEW QUESTION: 4
You have an Azure subscription that contains the SQL servers shown in the following table.
The subscription contains the storage accounts shown in the following table.
You create the Azure SQL databases shown in the following table.
Answer:
Explanation:
Explanation:
Box 1: Yes
Be sure that the destination is in the same region as your database and server.
Box 2: No
Box 3: No
Reference:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-auditing