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Splunk SPLK-1004 Exam Syllabus Topics:

SectionWeightObjectives
Dashboards, Forms, and Visualizations20%- Advanced visualizations
  • 1. Custom visualizations, formatting, and layout
- Dynamic dashboards and forms
  • 1. Tokens, inputs, dynamic drilldown, conditional rendering
- Dashboard design best practices
Knowledge Objects20%- Fields and field extractions
  • 1. Automatic, inline, and configured extractions; field aliases; calculated fields
- Tags and event types
- Data models and Pivot
  • 1. Designing data models, using Pivot for analysis
- Macros and workflow actions
Advanced Searching and Reporting20%- Statistical commands
  • 1. stats, eventstats, streamstats, timechart
- eval command and functions
  • 1. Conversion, mathematical, string, date/time, conditional functions
- Result modification commands
  • 1. sort, rename, replace, fields, dedup, head, tail
- Comparison and correlation
  • 1. Comparing values, joins, transactions, correlation searches
Alerts and Monitoring10%- Alert configuration
  • 1. Trigger conditions, scheduling, actions, throttling
- Alert management and logging
Lookups and Data Enrichment15%- Lookup management
  • 1. Creating, editing, managing, and optimizing lookups
- Subsearches and advanced lookup use cases
- Lookup types
  • 1. File-based, KV Store, external, geospatial lookups
Search Optimization and Performance15%- Using commands for optimization
  • 1. tstats, highcharts, summary indexing
- Writing efficient SPL
  • 1. Best practices, reducing search time, avoiding common mistakes

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Splunk Core Certified Advanced Power User Sample Questions (Q53-Q58):

NEW QUESTION # 53
Which commands can run on both search heads and indexers?

Answer: C

Explanation:
Distributable streaming commands in Splunk can run on both search heads and indexers (Option D). These commands operate on each event independently and can be distributed across indexers for parallel execution, which enhances search efficiency and scalability. This category includes commands like search, where, eval, and many others that do not require the entire dataset to be available to produce their output.


NEW QUESTION # 54
Which of the following is accurate about cascading inputs?

Answer: A

Explanation:
Cascading inputs allow one input's selection to determine the options available in subsequent inputs. An event handler can reset the cascading sequence based on user interactions, ensuring the following inputs reflect appropriate options based on prior selections.


NEW QUESTION # 55
How can a lookup be referenced in an alert?

Answer: B

Explanation:
In Splunk, a lookup can be referenced in an alert by running a search that incorporates the lookup and saving that search as an alert. This allows the alert to use the lookup data as part of its logic.


NEW QUESTION # 56
What arguments are required when using the spath command?

Answer: A

Explanation:
The spath command in Splunk requires the input and output path arguments. The input specifies the field or data source to parse, and the path defines the location of the data within a structured format like JSON or XML.


NEW QUESTION # 57
Where can wildcards be used in the tstats command?

Answer: B

Explanation:
Wildcards can be used in the from clause of the tstats command in Splunk (Option C). The from clause specifies the data model or dataset from which to retrieve the statistics, and using wildcards here allows users to query across multiple data models or datasets that share a common naming pattern, making the search more flexible and encompassing.


NEW QUESTION # 58
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