Free SPLK-3002 – Splunk IT Service Intelligence Certified Admin Exam Practice Test Question

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  Creating glass tables.

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  Correlation search creation.

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  Service swapping configuration.

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  Adding KPI metric lanes to glass tables.
  
  

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  Service access control requirements for ITSI Team Access should be considered, and appropriate teams provisioned prior to creating the ITSI Service.

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  Entities, entity meta-data, and entity rules should be planned carefully to support the service design and configuration.

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  Services, entities, and saved searches are stored in the ITSI app, while events created by KPI execution are stored in the itsi_summary index.

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  Backfill of a KPI should always be selected so historical data points can be used immediately and alerts based on that data can occur.
  
  

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  Use AD on KPIs that have an unestablished baseline of data points. This allows the ML pattern to perform it’s magic.

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  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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  Anomaly detection automatically generates notable events when KPI data diverges from the pattern.

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  There are 3 types of anomaly detection supported in ITSI: adhoc, trending, and cohesive.
  
  

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  A pre-configured default ITSI backup job is provided that can be modified, but not deleted.

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  ITSI backup is inclusive of KV Store, ITSI Configurations, and index dependencies.

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  kvstore_to_json.py can be used in scripts or command line to backup ITSI for full or partial backups.

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  ITSI backups are stored as a collection of JSON formatted files.
  
  

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  Ping a host.

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  Send email.

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  Include in RSS feed.

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  Run a script.
  
  

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  Disable any glass tables that reference a KPI that is part of an open maintenance window.

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  Develop a strategy for configuring a service’s notable event generation when the service’s maintenance window is open.

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  Give the maintenance window a buffer, for example, 15 minutes before and after actual maintenance work.

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  Change the color of services and entities that are part of an open maintenance window in the service analyzer.
  
  

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  6 months.

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  9 months.

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  1 year.

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  3 months.
  
  

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  Automatically update thresholds daily to manage dynamic changes to KPI values.

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  Automatically adjust KPI calculation to manage dynamic event data.

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  Automatically adjust aggregation policy grouping to manage escalating severity.

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  Automatically adjust correlation search thresholds to adjust sensitivity over time.
  
  

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  Plan and implement services first, then build detailed glass tables.

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  Always use the standard icons for glass table widgets to improve portability.

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  Start with base searches, then services, and then glass tables.

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  Design glass tables first to discover which KPIs are important.
  
  

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  Thresholds.

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  Entity Rules.

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  New KPIs.

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  Health score.