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NEW QUESTION: 1
An administrator has configured an Action in RES Workspace Manager that contains the following Items:
TEST1=1
TEST2=2
TEST3=3
Building Block "Z" contains the following settings:
TEST 1 = NEW 1
TEST2=NEW 2
TEST 4= NEW 4
What is the BEST way b Import this Building Block with new settings while preserving the TEST3 setting?
A. Add the TEST3 setting b the Building Block aid import It.
B. Create a Building Block of the TEST3 setting, import Building Block 2" aid re-Import the TEST3 setting wing the Building Block.
C. Create a Building Block of all settings, Import Building Block 2" aid re-Import the settings wing the Building Block.
D. Import the Building Block aid select 'Merge".
Answer: D

NEW QUESTION: 2
Which project management meeting allows stakeholders to meet one another and to learn about the project?
A. Project status meeting
B. Project scope review
C. Project authorization meeting
D. Project kick-off meeting
Answer: D

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、および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、ヒューリスティックに基づいてすべてのログを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必要がありますか？
A. OCI監査サービスをセットアップし、監査サービスからクライアント側アプリケーションにすべてのAPI仮種皮を実用的に取り込み、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。
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、マップリデュース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. syslog対応サーバーをホストしてログを処理し、ローカルに接続されたNVMe SSDにログを保存して、必要に応じてログを迅速に取得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。
D. 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 StreamingService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するクライアントプロセスを構築し、それらをオブジェクトストレージに保存します。
Answer: D
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.

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