1Z0-997 · Question #12
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…
The correct answer is D. Stream all the logs and cloud events of Events service to Oracle Streaming Service. Explanation/Reference: 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…
Question
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?
Options
- ACreate an auto scaling pool of syslog-enabled servers using compute instances which will store the logs.
- BCreate 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
- CSet 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
- DStream all the logs and cloud events of Events service to Oracle Streaming Service.
How the community answered
(28 responses)- A4% (1)
- B4% (1)
- C11% (3)
- D82% (23)
Explanation
Explanation/Reference: 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 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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