There are several ways to reduce Logging Analytics noise. Select the TWO options that apply. (Choose two.)

Oracle Cloud Infrastructure Logging Analytics provides multiple features to filter log records and minimize background noise during log analysis. Using specific keywords narrows down the search scope to log entries containing relevant search terms, filtering out irrelevant events. Using the time-picker limits the log volume by restricting the execution range to a precise time frame, avoiding processing massive log histories. Combining targeted keyword queries with restricted time bounds significantly reduces noise, improves query response times, and allows system administrators to focus on critical log anomalies during troubleshooting sessions.

A: Histogram visualization displays log event distribution over time rather than filtering or reducing raw log noise from search results. C: Searching parsed logs relies on pre-extracted fields but does not inherently reduce noise without targeted keywords or timeframe constraints.

- Oracle Cloud Infrastructure Documentation: Logging Analytics User Guide, Section "Filter Logs and Reduce Noise in Log Search"

- Oracle Cloud Infrastructure Observability Best Practices: Logging Analytics Query Optimization, Oracle Documentation