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NEW QUESTION: 1
What feature of the load balancing service attempts to force subsequent connections to a service to be
redirected to the same node as long as it is online?
A. Node balance
B. Session retention
C. Session persistence
D. Session multiplexing
Answer: C
Explanation:
Session persistence is a feature of the load balancing service. It attempts to force subsequent
connections to a service to be redirected to the same node as long as it is online.
Reference:
http://docs.rackspace.com/loadbalancers/api/v1.0/clb-devguide/content/Concepts-d1e233.html

NEW QUESTION: 2

A. Data Mining,
B. SIEM
C. Host Based AV
D. IDS
E. Application visibility and control
Answer: D,E

NEW QUESTION: 3
VLAN 10用に設定されたアクセスポートは、VLAN 2の802. 1qタグ内の着信パケットをどのように処理しますか？
A. パケットをドロップします。
B. パケットを処理し、将来の配信のためにキューに入れます
C. VLAN 2で受け入れるようにポートを動的に構成します。
D. VLANデータベースにVLANを追加します。
E. パケットをVLAN 2のポートに転送します。
Answer: A

NEW QUESTION: 4
ソリューションアーキテクトは、インターネットに接続された2,000のセンサーからデータを収集して保存するシステムを設計しています。各センサーは毎秒1 KBのデータを生成します。データは、システムに送信され、分析のために無期限に保存されてから数秒以内に分析に使用できる必要があります。
データを収集して保存するための最も費用対効果の高いソリューションはどれですか？
A. 各レコードをAmazon DynamoDBテーブルに入れます。テーブルにクエリを実行して、最近のデータを分析します。 DynamoDBストリームに接続されたAWS Lambda関数を使用してレコードをグループ化し、それらをAmazon S3のオブジェクトに書き込み、DynamoDBテーブルからレコードを削除します。 DynamoDBテーブルの最近のデータとAmazon S3の履歴データを分析する
B. 各レコードをAmazon Kinesis Data Streamsに入れます。 Amazon Kinesis Data Firehouseをセットアップして、ストリームからレコードを読み取り、それらをAmazon S3のオブジェクトにグループ化します。 Kinesis Data Streamsの最近のデータとAmazon S3の履歴データを分析します。
C. 時間ごとにレコードを整理し、レコードのキーをハッシュするプレフィックスを持つAmazon S3のオブジェクトに各レコードを入れます。 S3ライフサイクル管理を使用して、オブジェクトをS3低頻度アクセスストレージに移行し、ストレージコストを削減します。 Amazon S3のデータにアクセスして、最近および過去のデータを分析する
D. 各レコードをAmazon Kinesis Data Streamsに入れます。 AWS Lambda関数を使用して、時間ごとにレコードを整理し、レコードのキーをハッシュするプレフィックスを使用して、Amazon S3のオブジェクトに各レコードを書き込みます。
Kinesis Data Streamsの最近のデータとAmazon S3の履歴データを分析します。
Answer: B