SolarWinds Certified Professional Changed Hybrid-Cloud-Observability-Network-Monitoring Questions

Comprehensive and Detailed Explanation From Exact Extract:

SolarWinds platform allows for customizing threshold behavior to reduce false positives and tune alerting sensitivity. The three primary customizable threshold settings are:

Single poll: A threshold is triggered immediately if the value breaches the limit in a single polling cycle.

X consecutive polls: The threshold must be exceeded in X consecutive polling intervals before being considered breached.

X of Y polls: The threshold is triggered if the value exceeds the limit in X out of Y most recent polls.

"X concurrent polls" is not an available threshold customization in the SolarWinds platform.

Comprehensive and Detailed Explanation From Exact Extract:

Flow sampling reduces resource usage by analyzing a subset of traffic. The following protocols support sampling:

Cisco NetFlow (except v1): Most NetFlow versions support sampling.

IPFIX: Supports flow sampling as part of its standard.

NetFlow Lite: Designed to provide sampled flow data.

NetFlow V1 does not support flow sampling.

Exact Extract from Official Guide:

"NetFlow (except v1), IPFIX, and NetFlow Lite support flow sampling, enabling high-performance monitoring of large traffic volumes."

— (Network Performance Monitor Administrator Guide, “Flow Protocols and Sampling” section)

Comprehensive and Detailed Explanation From Exact Extract:

Device Studio is specifically designed to build custom pollers for missing or vendor-specific metrics that are not natively included in node details. It is best used to enrich the node details with custom OID-based metrics from devices.

From the documentation:

“Use Device Studio to build pollers for new metrics not present in the default node details, particularly for custom or third-party equipment.”

Comprehensive and Detailed Explanation From Exact Extract:

SolarWinds capacity forecasting accuracy improves when:

More historical data is used: The more historical data points included in calculations, the better the forecasting model will perform.

Using average daily values for calculations: This smooths out anomalies and provides a more accurate trend, as recommended in the documentation:

“To improve the precision of capacity forecasting, use as much historical data as possible and set calculations to use average daily values.”

Monitoring with platform agents or adjusting thresholds affects alerting, not trend accuracy.