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NEW QUESTION: 1
あなたはMicrosoft SQL Server2012データベースを管理します。
データベース・サーバーに一時的なsecurityadminアクセスをUser1に提供します。
User1がログインをsecurityadminに加えるかどうか知る必要があります。 どのサーバー・レベル監査アクショングループを使用しなければなりませんか。
A. SERVER_PRINCIPAL_IMPERSONATION_GROUP
B. SUCCESSFUL_LOGIN_GROUP
C. SERVER_ROLE_MEMBER_CHANGE_GROUP
D. SERVER_STATE_CHANGE_GROUP
Answer: C
Explanation:
Explanation
The SERVER_ROLE_MEMBER_CHANGE_GROUP event is raised whenever a login is added or removed from a fixed server role. This event is raised for the sp_addsrvrolemember and sp_dropsrvrolemember stored procedures. Equivalent to the Audit Add Login to Server Role Event Class.
References:

NEW QUESTION: 2
Overlay Transport Virtualization (OTV) uses the Authoritative Edge Device (AED) to perform which tasks?
A. The AED is responsible for load balancing all traffic for all VLANs across the transport network.
B. The AED is responsible for handling all unicast, broadcast, and multicast traffic for a given VLAN within a site.
C. The AED is responsible for MAC address dispute contention for a given VLAN.
D. The AED is responsible for sending all unicast traffic in a site, while either node in a site can transmit multicast and broadcast.
Answer: B

NEW QUESTION: 3
会社には、20 PB HDFSデータベースを備えた大規模なオンプレミスApache Hadoopクラスターがあります。クラスターは、四半期ごとに約200インスタンスと1 PBずつ成長しています。同社の目標は、Hadoopデータの復元力を有効にし、クラスターノードの損失による影響を制限し、コストを大幅に削減することです。現在のクラスターが実行されます
年中無休で、インタラクティブなクエリやバッチ処理など、さまざまな分析ワークロードをサポートします。
最小の費用とダウンタイムでこれらの要件を満たすソリューションはどれですか？
A. AWS Direct Connectを使用して、既存のクラスターデータをAmazon S3に移行します。オンプレミスクラスターからの履歴データに基づいて対話型ワークロードを処理するように最初にサイズ設定された永続的なAmazon EMRクラスターを作成します。データをEMRFSに保存します。マスターノードとコアノードのリザーブドインスタンスとタスクノードのスポットインスタンスを使用してコストを最小化し、Amazon CloudWatchメトリックスに基づいてタスクノードを自動スケールします。同様に最適化されたバッチワークロード用に、ジョブ固有の最適化されたクラスターを作成します。
B. AWS Snowballを使用して、既存のクラスターデータをAmazon S3に移行します。オンプレミスクラスターからの履歴データに基づいて対話型ワークロードを処理するように最初にサイズ設定された永続的なAmazon EMRクラスターを作成します。 EMRFSに保存します。マスターノードとコアノードのリザーブドインスタンスとタスクノードのスポットインスタンスを使用してコストを最小化し、Amazon CloudWatchメトリックスに基づいてタスクノードを自動スケールします。同様に最適化されたバッチワークロード用に、ジョブ固有の最適化されたクラスターを作成します。
C. AWS Snowmobileを使用して、既存のクラスターデータをAmazon S3に移行します。オンプレミスクラスターからの履歴データに基づいて対話型ワークロードを処理するように最初にサイズ設定された永続的なAmazon EMRクラスターを作成します。データをEMRFSに保存します。マスターノードとコアノードのリザーブドインスタンスとタスクノードのスポットインスタンスを使用してコストを最小化し、Amazon CloudWatchメトリックスに基づいてタスクノードを自動スケールします。同様に最適化されたバッチワークロード用に、ジョブ固有の最適化されたクラスターを作成します。
D. AWS Snowmobileを使用して、既存のクラスターデータをAmazon S3に移行します。現在のクラスターと同様のサイズと構成の永続的なAmazon EMRクラスターを作成します。データをEMRFSに保存します。
リザーブドインスタンスを使用して、コストを最小限に抑えます。四半期ごとにワークロードが増加するにつれて、追加のリザーブドインスタンスを購入し、クラスターに追加します。
Answer: C
Explanation:
Explanation
Q: How should I choose between Snowmobile and Snowball?
To migrate large datasets of 10PB or more in a single location, you should use Snowmobile. For datasets less than 10PB or distributed in multiple locations, you should use Snowball. In addition, you should evaluate the amount of available bandwidth in your network backbone. If you have a high speed backbone with hundreds of Gb/s of spare throughput, then you can use Snowmobile to migrate the large datasets all at once. If you have limited bandwidth on your backbone, you should consider using multiple Snowballs to migrate the data incrementally.