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NEW QUESTION: 1
A z 10 customer is looking for an alternative to handling remote communications using a front-end processor. Which of the following processor features is a component in the replacement option?
A. OSA-Express
B. HiperSockets
C. Coupling Facility
D. FICON
Answer: C

NEW QUESTION: 2



A. [X]
[X, X]
[X, X, X]
[X, X, X, X]
B. [X, X]
C. [X]
[X, X]
[X, X, X]
D. [X, X]
[X, X, X, X]
Answer: A

NEW QUESTION: 3
あなたは大手メディア企業のクラウドコンサルタントとして働いています。米国とお客様のクライアントは、すべてのログストリーム、アクセスログ、アプリケーションログ、セキュリティログを単一のシステムに統合することを要求しました。
クライアントはすべてのログをヒューリスティックに基づいてリアルタイムで分析したいと考えており、結果も検証する必要があります。この検証プロセスでは、過去8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。
このシナリオではどのようなアプローチを取るべきですか？
A. 必要に応じてログを迅速に取得するために、ログを処理し、ローカルに接続されたNVMe SSDにログを保存するために、syslog対応サーバーをホストするのに十分な大きさのベアメタルインスタンスを作成します
B. ログをオブジェクトストレージに保存するコンピューティングインスタンスを使用して、syslog対応サーバーの自動スケーリングプールを作成し、マップ削減ジョブを使用してオブジェクトストレージからログを抽出し、ログにヒューリスティックを適用します。
C. イベントサービスのすべてのログとクラウドイベントをOracle Streaming Serviceにストリーミングします。ログにヒューリスティックを適用し、オブジェクトストレージに保存するクライアントプロセスを構築します。
D. OCI監査サービスをセットアップし、すべてのAPIアリルを実際に監査サービスからクライアント側アプリケーションに取り込み、ヒューリスティックを適用して結果をOCIオブジェクトストレージに保存します。
Answer: C
Explanation:
The Oracle Cloud Infrastructure Streaming service provides a fully managed, scalable, and durable storage solution for ingesting continuous, high-volume streams of data that you can consume and process in real time. Streaming can be used for messaging, ingesting high-volume data such as application logs, operational telemetry, web click-stream data, or other use cases in which data is produced and processed continually and sequentially in a publish-subscribe messaging model.
Streaming Usage Scenarios
Here are some of the many possible uses for Streaming:
Metric and log ingestion: Use the Streaming service as an alternative for traditional file-scraping approaches to help make critical operational data more quickly available for indexing, analysis, and visualization.
Messaging: Use Streaming to decouple components of large systems. Streaming provides a pull/bufferbased communication model with sufficient capacity to flatten load spikes and the ability to feed multiple consumers with the same data independently. Key-scoped ordering and guaranteed durability provide reliable primitives to implement various messaging patterns, while high throughput potential allows for such a system to scale well.
Web/Mobile activity data ingestion: Use Streaming for capturing activity from websites or mobile apps (such as page views, searches, or other actions users may take). This information can be used for realtime monitoring and analytics, as well as in data warehousing systems for offline processing and reporting.
Infrastructure and apps event processing: Use Streaming as a unified entry point for cloud components to report their life cycle events for audit, accounting, and related activities.