Which is an example of Log Sources in Logging Analytics?
Log Sources in Logging Analytics are predefined parsers that can extract fields from various types of log data, such as Windows Events, Syslog Listener, and Database SQL parsers. Log Sources also provide predefined labels, extended fields, and log origin information for each log type.
Which statement is valid for auto-upgrade of Management Agent?
A valid statement for auto-upgrade of Management Agent is that users cannot disable ''auto-upgrade''. Auto-upgrade is a feature that automatically updates the Management Agent software to the latest version when it is available. Auto-upgrade is always enabled by default and cannot be disabled by users. Auto-upgrade ensures that the Management Agent software is always up to date and secure.
Which response contains rich information to process for analytics?
Database Audit Logs contain rich information to process for analytics, such as user actions, database operations, and security events. Logging Analytics can ingest and analyze these logs to provide insights into the health and performance of your databases.
As a solutions architect of the Oracle Cloud Infrastructure (OCI) tenancy, you have been asked to provide members of the CloudOps group the ability to view and retrieve monitoring metrics, but only for all monitoring-enabled compute instances. Which policy statement would you define to grant this access?
To grant the CloudOps group the ability to view and retrieve monitoring metrics only for all monitoring-enabled compute instances, you need to use a policy statement with a condition that filters by the metric namespace. The metric namespace is a unique name that identifies the source of the metrics. For compute instances, the metric namespace is oci_computeagent. Therefore, the policy statement should be: Allow group cloudops to read metrics in tenancy where target.metrics.namespace='oci_computeagent'
Choose two FluentD scenarios that apply when using continuous Log Collection with cli-ent-side processing.? (Choose two.)
Two FluentD scenarios that apply when using continuous Log Collection with client-side processing are:
Managing apps/services which push logs to Object Storage. FluentD is an open source data collector that can collect and process log data from various sources. You can use FluentD to manage apps/services that push logs to Object Storage, such as Oracle Functions or Kubernetes. You can configure FluentD to read logs from Object Storage buckets and send them to Logging Service or Logging Analytics for analysis.
Comprehensive monitoring for OKE/Kubernetes. FluentD is also a popular choice for monitoring Kubernetes clusters, such as Oracle Container Engine for Kubernetes (OKE). You can use FluentD to collect and process logs from Kubernetes pods, containers, and nodes, and send them to Logging Service or Logging Analytics for analysis.
