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Splunk SPLK-1004 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Knowledge Objects20%- Fields and field extractions
  • 1. Automatic, inline, and configured extractions; field aliases; calculated fields
- Tags and event types
- Macros and workflow actions
- Data models and Pivot
  • 1. Designing data models, using Pivot for analysis
Topic 2: Alerts and Monitoring10%- Alert configuration
  • 1. Trigger conditions, scheduling, actions, throttling
- Alert management and logging
Topic 3: Dashboards, Forms, and Visualizations20%- Dynamic dashboards and forms
  • 1. Tokens, inputs, dynamic drilldown, conditional rendering
- Dashboard design best practices
- Advanced visualizations
  • 1. Custom visualizations, formatting, and layout
Topic 4: 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
Topic 5: Lookups and Data Enrichment15%- Lookup types
  • 1. File-based, KV Store, external, geospatial lookups
- Subsearches and advanced lookup use cases
- Lookup management
  • 1. Creating, editing, managing, and optimizing lookups
Topic 6: Search Optimization and Performance15%- Writing efficient SPL
  • 1. Best practices, reducing search time, avoiding common mistakes
- Using commands for optimization
  • 1. tstats, highcharts, summary indexing

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Splunk Core Certified Advanced Power User Sample Questions (Q35-Q40):

NEW QUESTION # 35
What is an example of the simple XML syntax for a base search and its post-process search?

Answer: D

Explanation:
In Splunk, a base search is defined using <search id="myBaseSearch"> and is referenced by post-process searches using the base attribute, as seen in the syntax <search base="myBaseSearch">.


NEW QUESTION # 36
What arguments are required when using the spath command?

Answer: B

Explanation:
Thespathcommand in Splunk is used to extract fields from structured data formats like JSON or XML.No arguments are requiredfor basic usage, asspathautomatically parses the_rawfield by default.
Here's why this works:
* Default Behavior: By default,spathextracts fields from the_rawfield of events without requiring any arguments. It intelligently parses JSON or XML data and creates new fields based on the structure.
* Optional Arguments: Whilespathdoes not require arguments, you can optionally specify:
* input: To specify a field other than_rawto parse.
* output: To rename the extracted fields.
* path: To extract specific subfields within the structured data.
Example:
| makeresults
| eval _raw="{\"name\":\"Alice\",\"age\":30}"
| spath
References:
* Splunk Documentation onspath:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference
/spath
* Splunk Documentation on Parsing Structured Data:https://docs.splunk.com/Documentation/Splunk
/latest/Data/Extractfieldsfromstructureddata


NEW QUESTION # 37
which function of the stats command creates a multivalue entry?

Answer: B


NEW QUESTION # 38
Repeating JSON data structures within one event will be extracted as what type of fields?

Answer: D

Explanation:
When Splunk encounters repeating JSON data structures in an event, they are extracted as multivalue fields.
These allow multiple values to be stored under a single field, which is common with arrays in JSON data.
When Splunk extracts repeating JSON data structures within a single event, it represents them asmultivalue fields. A multivalue field is a field that contains multiple values, which can be iterated over or expanded using commands likemvexpandorforeach.
Here's why this works:
* JSON Data Extraction: Splunk automatically parses JSON data into fields. If a JSON key has an array of values (e.g.,"products": ["productA", "productB", "productC"]), Splunk creates a multivalue field for that key.
* Multivalue Fields: These fields allow you to handle multiple values for the same key within a single event. For example, if the JSON keyproductscontains an array of product names, Splunk will store all the values in a single multivalue field namedproducts.
{
"event": "purchase",
"products": ["productA", "productB", "productC"]
}
References:
Splunk Documentation on JSON Data Extraction:https://docs.splunk.com/Documentation/Splunk/latest/Data
/ExtractfieldsfromJSON
Splunk Documentation on Multivalue Fields:https://docs.splunk.com/Documentation/Splunk/latest
/SearchReference/MultivalueEvalFunctions


NEW QUESTION # 39
Which of these generates a summary index containing a count of events by productId?

Answer: A

Explanation:
The stats count by productId command counts the number of events for each unique productId, making it the correct command for generating a summary index based on event counts.


NEW QUESTION # 40
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