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NEW QUESTION: 1
In IBM Marketing Operations, when a Plan owner deletes a plan, what does the owner need to do prior to deleting the plan?
A. Lockout all users from accessing the Plan.
B. Request a Plan delete to the administrator.
C. Delink any Programs linked to the Plan.
D. Change the Plan status.
Answer: C
NEW QUESTION: 2
エンタープライズアーキテクトは、ディザスターリカバリーの演習を行った後、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、フラグシップアプリケーションのデータベースを別のAWSリージョンで機能させるために7時間以上の手動作業が必要であることを発見しました。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が多い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と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イベント時にクロスリージョンスナップショットコピーをフェイルオーバーリージョンに実行します。データベースインスタンスのCloudWatch RDS名前空間の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。
B. 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と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。
C. 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。
D. マルチリージョンの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、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待機時間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。
Answer: B
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
비즈니스 팀에는 회사의 모든 과거 판매 데이터를 저장하기위한 구조화 된 스토리지 솔루션이 필요합니다. 현재 4TB의 데이터가 있으며 몇 년 안에 수백 테라 바이트로 증가 할 것입니다. 팀은 최신 비즈니스 인텔리전스 도구를 사용하여 데이터에 대해 정기적으로 쿼리를 실행할 수 있어야 합니다. 데이터 세트 증가에도 불구하고 빠른 성능이 필요합니다.
회사는 어떤 솔루션을 사용해야 합니까?
A. 아마존 S3
B. 아마존 오로라
C. 아마존 레드 시프트
D. Amazon DynamoDB
Answer: C
NEW QUESTION: 4
Which of the following are components of the AWS Data Pipeline service. Choose 2 answers from the options given below
A. Workflow Runner
B. Task History
C. Pipeline definition
D. Task Runner
Answer: C,D
Explanation:
Explanation
The AWS Documentation mentions the following on AWS Pipeline
The following components of AWS Data Pipeline work together to manage your data:
* A pipeline definition specifies the business logic of your data management.
* A pipeline schedules and runs tasks. You upload your pipeline definition to the pipeline, and then activate the pipeline. You can edit the pipeline definition for a running pipeline and activate the pipeline again for it to take effect. You can deactivate the pipeline, modify a data source, and then activate the pipeline again. When you are finished with your pipeline, you can delete it.
* Task Runner polls for tasks and then performs those tasks. For example. Task Runner could copy log files to Amazon S3 and launch Amazon EMR clusters. Task Runner is installed and runs automatically on resources created by your pipeline definitions. You can write a custom task runner application, or you can use the Task Runner application that is provided by AWS Data Pipeline.
For more information on AWS Pipeline, please visit the link:
* http://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/what-is-datapi peline.html