Which of the following items describe ITSI Deep Dive capabilities? (Choose all that apply.)

• A.Comparing a service's notable events over a time period.
• B.Visualizing one or more Service KPIs values by time.
• C.Examining and comparing alert levels for KPIs in a service over time.
• D.Comparing swim lane values for a slice of time.

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

• A.Use AD on KPIs that have an unestablished baseline of data points. This allows the ML pattern to perform it's magic.
• B.There are 3 types of anomaly detection supported in ITSI: adhoc, trending, and cohesive.
• C.Anomaly detection automatically generates notable events when KPI data diverges from the pattern.
• D.A minimum of 24 hours of data is needed for anomaly detection, and a minimum of 4 entities for cohesive analysis.

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Which scenario would benefit most by implementing ITSI?

• A.Monitoring of business services functionality.
• B.Monitoring of retail sales metrics.
• C.Monitoring of system hardware.
• D.Monitoring of system process statuses

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Anomaly detection can be enabled on which one of the following?

• A.KPI
• B.Multi-KPI alert
• C.Entity
• D.Service

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Which of the following are characteristics of ITSI service dependencies? (select all that apply)

• A.If a primary service has a dependent service KPI and the KPI's importance level is changed, the dependency is broken.
• B.It is best practice to use the dependent service's built-in 'ServiceHealthScore' KPI to reflect impact to the primary service.
• C.Setting the dependent service KPI importance level will be treated as any other KPI in the primary service's health score.
• D.Impactful dependent services should only be configured to one primary service to avoid false negatives in Multi KPI Alerts.

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