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NEW QUESTION: 1




A. Option D
B. Option A
C. Option C
D. Option B
Answer: D

NEW QUESTION: 2
あなたの顧客は彼らのログストリーム（アクセスログ、アプリケーションログ、セキュリティログなど）を一つの単一のシステムに統合しても構わないと思っています。 統合後、顧客はヒューリスティックに基づいてこれらのログをリアルタイムで分析したいと考えています。 時々、お客様はヒューリスティックを検証する必要があります。これには、過去12時間から抽出されたデータサンプルに戻る必要があります。
顧客の要求を満たすための最善の方法は何ですか？
A. すべてのログイベントをAmazon Kinesisに送信し、ログにヒューリスティックを適用するためのクライアントプロセスを開発する
B. カスタムログを受信するようにAmazon CloudTrailを設定し、EMRを使用してログにヒューリスティックを適用する
C. すべてのログイベントをAmazon SQSに送信し、ログを消費してヒューリスティックを適用するようにEC2サーバーのAuto Scalingグループを設定します。
D. EC2 syslogdサーバーのAuto Scalingグループを設定し、S3にログを保存し、EMRを使用してログにヒューリスティックを適用します。
Answer: A
Explanation:
Explanation
The throughput of an Amazon Kinesis stream is designed to scale without limits via increasing the number of shards within a stream. However, there are certain limits you should keep in mind while using Amazon Kinesis Streams:
By default, Records of a stream are accessible for up to 24 hours from the time they are added to the stream.
You can raise this limit to up to 7 days by enabling extended data retention.
The maximum size of a data blob (the data payload before Base64-encoding) within one record is 1 megabyte (MB).
Each shard can support up to 1000 PUT records per second.
For more information about other API level limits, see Amazon Kinesis Streams Limits.

NEW QUESTION: 3
組織は、業界の新しい規制への違反から生じる潜在的なリスクを検出しました。
上級管理職にこの状況を報告するために最も重要な理由は次のうちどれですか？
A. リスクの外部評価が実施されるようにうなずきます
B. ベンチマーク分析を行う必要があります。
C. 特定の監視制御を実施する必要があります
D. リスクプロファイルを更新する必要があります
Answer: D