Metric Intelligence Questions

Metric intelligence capabilities, metric sources, data pipeline, anomaly bounds and thresholds, and Service Operations integration

6 total questions2 free questions

About Metric Intelligence

Metric Intelligence covers the collection and analysis of metric data, including threshold monitoring, anomaly detection, and integration with Service Operations for proactive IT monitoring.

Why This Matters for Your Exam

Metric Intelligence extends Event Management beyond events to time-series data analysis. Understanding metric collection, thresholds, and the data pipeline is important for comprehensive ITOM implementations.

Key Concepts to Master

Threshold monitoring generates events when metrics exceed defined bounds. The MID Web Server extension can receive metric data using key-based HMAC authentication. The API endpoint for raw metrics is /api/mid/sa/metrics. Timestamps in authentication requests must be within 15 minutes of the MID Server time. The Operational Intelligence plugin enables advanced metric connectors for Azure and AWS CloudWatch.

Exam Tips

Practice Questions

6 questions available
1
understanding

What is the purpose of configuring threshold monitoring in Event Management?

ATo limit the number of alerts generated per day
BTo generate alerts when metrics exceed defined bounds
CTo control MID Server memory usage
DTo schedule event processing jobs

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2
understanding

Which plugin must be activated for Azure Metrics and AWS CloudWatch Metrics connectors to display in Event Management?

AEvent Management Core [com.snc.eventmgmt]
BOperational Intelligence [com.snc.sa.metric]
CCloud Management [com.snc.cloud]
DITOM Visibility [com.snc.itom.visibility]

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