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NEW QUESTION: 1
展示を参照してください。
エンジニアは、ルーターから直接接続されたサブネット209.165.200.0/24へのすべてのトラフィックをブロックする必要があります。エンジニアは、ルーターのGigabitEthernet0 / 0インターフェイスのアウトバウンド方向にアクセス制御リストEGRESSを適用します。ただし、ルーターは209.165.200.0/24サブネット上のホストにpingを実行できます。この動作の説明のうち、正しいのはどれですか。
A. アクセスコントロールリストには、ルーターからのトラフィックをブロックするための明示的な拒否が含まれている必要があります。
B. アクセスコントロールリストがインターフェイスに適用された後、アクセスコントロールリストを有効にするには、そのインターフェイスをシャットダウンして、シャットダウンしないでください。
C. 送信元IPアドレスからのトラフィックをブロックできるのは、標準のアクセス制御リストのみです。
D. ルーターインターフェイスへの送信に適用されるアクセス制御リストは、ルーターから送信されるトラフィックに影響しません。
Answer: D
NEW QUESTION: 2
You are working as a cloud consultant for a major media company. In the US and your client requested to consolidate all of their log streams, access logs, application logs, and security logs into a single system.
The client wants to analyze all of their logs In real-time based on heuristics and the result should be validated as well. This validation process requires going back to data samples extracted from the last 8 hours.
What approach should you take for this scenario?
A. Stream all the logs and cloud events of Events service to Oracle Streaming Service. Build a client process that will apply heuristics on the logs and store them in an Object Storage.
B. Create an auto scaling pool of syslog-enabled servers using compute instances which will store the logs In Object storage, then use map reduce jobs to extract logs from Object storage, and apply heuristics on the logs.
C. Set up an OCI Audit service and ingest all the API arils from Audit service pragmatically to a client side application to apply heuristics and save the result in an OCI Object storage.
D. Create a bare-metal instance big enough to host a syslog enabled server to process the logs and store logs on the locally attached NVMe SSDs for rapid retrieval of logs when needed.
Answer: A
Explanation:
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.
NEW QUESTION: 3
既存のコンパートメントへのアクセス権をユーザーにどのように提供できますか？
A. グループにユーザーを追加し、グループにコンパートメントへのアクセスを提供するためのポリシーを定義します。
B. コンパートメントの作成時にユーザーにコンパートメントへのアクセスを許可する
C. ユーザーをコンパートメントに追加します。コンパートメント内のすべてのユーザーは、コンパートメント内のオブジェクトにアクセスできます。
D. ユーザーが作成されたときにユーザーに直接アクセスを許可することによって
Answer: A
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