Which of the following items apply to anomaly detection? (Choose all that apply.)

The correct answer is B. A minimum of 24 hours of data is needed for anomaly detection, and a minimum of 4 entities C. Anomaly detection automatically generates notable events when KPI data diverges from the. Anomaly detection is a feature of ITSI that uses machine learning to detect when KPI data deviates from a normal pattern. The following items apply to anomaly detection: for cohesive analysis. This ensures that there is enough data to establish a baseline pattern and compare diff

Anomaly Detection and Notable Events

Question

Options

AUse AD on KPIs that have an unestablished baseline of data points. This allows the ML pattern to
BA minimum of 24 hours of data is needed for anomaly detection, and a minimum of 4 entities
CAnomaly detection automatically generates notable events when KPI data diverges from the
DThere are 3 types of anomaly detection supported in ITSI: adhoc, trending, and cohesive.

How the community answered

(23 responses)

A
13% (3)
B
83% (19)
D
4% (1)

Explanation

Anomaly detection is a feature of ITSI that uses machine learning to detect when KPI data deviates from a normal pattern. The following items apply to anomaly detection: for cohesive analysis. This ensures that there is enough data to establish a baseline pattern and compare different entities within a service. pattern. You can configure the sensitivity and severity of the anomaly detection alerts and assign them to episodes or teams.

Topics

#anomaly detection#data requirements#notable event generation#entity cohesion

Community Discussion

No community discussion yet for this question.

Full SPLK-3002 Practice