Machine Learning Questions

Service Mapping methods guidance, ML-powered mapping, Service Mapping Workspace, and mapping service candidates

6 total questions2 free questions

About Machine Learning

Machine Learning covers intelligent service mapping capabilities including tag-based mapping, Predictive Intelligence, and the Service Mapping Workspace. This domain represents 10% of the CIS-SM exam.

Why This Matters for Your Exam

Key Concepts to Master

Tag-based mapping, Service Mapping Workspace, Predictive Intelligence for connection suggestions, service candidates, automated service discovery, comparing mapping methods.

Exam Tips

Practice Questions

6 questions available
1
understanding

What is the relationship between tag-based mapping results and pattern-based mapping results in Service Mapping?

ATag-based mapping produces identical results to pattern-based mapping
BTag-based mapping produces a hierarchical service map that may be less precise than pattern-based mapping
CPattern-based mapping always requires tag-based mapping to run first
DTag-based mapping provides more detailed CI relationships than pattern-based mapping

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2
knowledge

When using Predictive Intelligence with traffic-based discovery, what does Service Mapping automatically add to service instances?

ANew entry points based on predicted traffic patterns
BConnections based on connection rules generated from traffic data and application fingerprints
CAutomated credentials for discovered CIs
DPerformance metrics for each CI

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