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NEW QUESTION: 1
In the Launch Db Instance Wizard, where can I select the backup and maintenance options?
A. Under MANAGEMENT OPTIONS
B. Under ENGINE SELECTION
C. Under REVIEW
D. Under DB INSTANCE DETAILS
Answer: A
NEW QUESTION: 2
Amazon S3バケットを削除しようとしたSysOps管理者は、次のコマンドを実行しました。
aws s3 rb s3：// myバケット
コマンドは失敗しましたが、バケットはまだ存在しています。管理者は、aws s3 1s s3：// mybucketを実行し、空の応答を取得して、バケットにファイルが存在しないことを確認しました。
管理者がバケットを削除できないのはなぜですか。また、このタスクを実行するには何をする必要がありますか？
A. バケットでMFA削除が有効になっているため、管理者はオフにする必要があります。
B. バケットではサーバー側の暗号化が有効になっているため、管理者はaws s3 rb s3：// mybucket--ssecommandを実行する必要があります。
C. バケットはAmazon Glacierにファイルを保存しており、管理者はファイルが削除されるまで3〜5時間待つ必要があります。
D. バケットでバージョン管理が有効になっているため、管理者はオブジェクトの削除マーカーを完全に削除する必要があります。
Answer: D
NEW QUESTION: 3
認定と規格が異なれば、データセンターの設計と運用に対するアプローチも異なります。多くの従来のアプローチは段階的な方法論を使用していますが、次のうちどれがデータセンターの設計にマクロレベルのアプローチを利用していますか？
A. Uptime Institute
B. NFPA
C. IDCA
D. BICSI
Answer: C
Explanation:
説明
International Data Center Authority（IDCA）のインフィニティパラダイムは、データセンターの設計にマクロレベルのアプローチを採用しています。 IDCAは、層のステータスを達成するために、特定のコンポーネントに焦点を当てた特定のアプローチを使用しません。建築業コンサルティングサービスインターナショナル（BICSI）は、データセンターのケーブル配線に関する認証を発行しています。全米消防協会（NFPA）は、さまざまなタイプの施設に関する幅広い防火および設計基準を公開しています。 Uptime Instituteは、データセンターのトポロジと階層について最も広く知られており、使用されている標準を公開しています。
NEW QUESTION: 4
You need to define a modeling strategy for ad response.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Implement a K-Means Clustering model
Step 2: Use the cluster as a feature in a Decision jungle model.
Decision jungles are non-parametric models, which can represent non-linear decision boundaries.
Step 3: Use the raw score as a feature in a Score Matchbox Recommender model The goal of creating a recommendation system is to recommend one or more "items" to "users" of the system.
Examples of an item could be a movie, restaurant, book, or song. A user could be a person, group of persons, or other entity with item preferences.
Scenario:
Ad response rated declined.
Ad response models must be trained at the beginning of each event and applied during the sporting event.
Market segmentation models must optimize for similar ad response history.
Ad response models must support non-linear boundaries of features.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/multiclass-decision-jungle
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/score-matchbox-recommende