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NEW QUESTION: 1
An eight-node vSAN cluster has been deployed. vSAN fault domains are NOT configured. A virtual machine with a 100GB virtual disk (VMDK) is created on the cluster. The 100GB virtual disk is assign a storage policy with the following rules:
* Primary level of failures to tolerate = 1
* Failure tolerance method = RAID-1 (Mirroring) - Performance
Which statement is true about how vSAN places the component(s) that make up this object?
A. One data component is created to minimize capacity consumption. Two witness components are placed on separate hosts to avoid "split-brain" scenarios.
B. Two mirrored data components plus a witness component are created. The components are distributed across three nodes in the cluster.
C. Three mirrored data components plus a witness component are created. The data components are distributed across three hosts in the cluster. Witness components are placed on the hosts that contain data components to verify the data components are online.
D. Three mirrored data components are created and distributed across separate hosts. There is NO need for a witness component.
Answer: C
NEW QUESTION: 2
Which command do you enter to enable local authentication for Multilink PPP on an interface?
A. Router(config)# username router password password1
B. Router(config-if)# ppp chap password password1
C. Router(config-if)# l2tp authentication
D. Router(config)#aaa authentication ppp default local
Answer: A
NEW QUESTION: 3
レガシーWebアプリケーションは、独自のテキスト形式でアクセスログを保存します。セキュリティ要件の1つは、アプリケーションアクセスイベントを検索し、それらを多くの異なるシステムからのアクセスデータと関連付けることです。これらの検索はほぼリアルタイムでなければなりません。アプリケーションサーバーの処理負荷を軽減し、ほぼリアルタイムでデータを検索するメカニズムを提供するソリューションはどれですか。
A. アプリケーションサーバーにAmazon CloudWatch Logsエージェントをインストールし、CloudWatchイベントルールを使用してアクセスイベントのログを検索します。イベントを検索するためのインターフェースとしてAmazon CloudSearchを使用します。
B. アプリケーションサーバーにAmazon Kinesisエージェントをインストールし、ログファイルを監視するように設定して、Kinesisストリームに送信します。 AWS Lambda関数を使用してデータを変換し、分析のためにイベントをAmazon ESに転送するようにKinesisを設定します。 Elasticsearch APIを使用してデータをクエリします。
C. サードパーティのファイル入力プラグインLogstashを使用してアプリケーションログファイルを監視し、エージェントでカスタム分析フィルターを使用してログエントリをJSON形式に解析します。検索するイベントをAmazon ESに出力します。 Elasticsearch APIを使用してデータをクエリします。
D. S3 syncコマンドを使用して、ログファイルをAmazon S3にアップロードします。 Amazon Athenaを使用してデータの構造をテーブルとして定義し、Athena SQLクエリを使用してアクセスイベントを検索します。
Answer: B
Explanation:
Explanation
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