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| Section | Weight | Objectives |
|---|
| Alerts and Monitoring | 10% | - Alert management and logging - Alert configuration
- 1. Trigger conditions, scheduling, actions, throttling
|
| Advanced Searching and Reporting | 20% | - Statistical commands
- 1. stats, eventstats, streamstats, timechart
- Result modification commands
- 1. sort, rename, replace, fields, dedup, head, tail
- Comparison and correlation
- 1. Comparing values, joins, transactions, correlation searches
- eval command and functions
- 1. Conversion, mathematical, string, date/time, conditional functions
|
| Lookups and Data Enrichment | 15% | - 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
|
| Knowledge Objects | 20% | - Macros and workflow actions - Tags and event types - Fields and field extractions
- 1. Automatic, inline, and configured extractions; field aliases; calculated fields
- Data models and Pivot
- 1. Designing data models, using Pivot for analysis
|
| Search Optimization and Performance | 15% | - Writing efficient SPL
- 1. Best practices, reducing search time, avoiding common mistakes
- Using commands for optimization
- 1. tstats, highcharts, summary indexing
|
| Dashboards, Forms, and Visualizations | 20% | - Dynamic dashboards and forms
- 1. Tokens, inputs, dynamic drilldown, conditional rendering
- Dashboard design best practices - Advanced visualizations
- 1. Custom visualizations, formatting, and layout
|
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Splunk Core Certified Advanced Power User Sample Questions (Q74-Q79):
NEW QUESTION # 74
How can the inspect button be disabled on a dashboard panel?
- A. Set link.inspectSearch.visible to 0
- B. Set inspect.link.disabled to 1
- C. Set link.inspect.visible to 0
- D. Set link.search.disabled to 1
Answer: C
Explanation:
To disable the inspect button on a dashboard panel, set the link.inspect.visible attribute to 0. This hides the button, preventing users from accessing the search inspector for that panel.
NEW QUESTION # 75
Which of the following is true about themultikvcommand?
- A. Themultikvcommand derives field names from the last column in a table-formatted event.
- B. Themultikvcommand creates an event for each column in a table-formatted event.
- C. Themultikvcommand requires field names to be ALL CAPS whenmultitable=false.
- D. Themultikvcommand displays an event for each row in a table-formatted event.
Answer: D
Explanation:
Comprehensive and Detailed Step by Step Explanation:Themultikvcommand in Splunk is used to extract fields fromtable-like events(e.g., logs with rows and columns). It creates a separate event for each row in the table, making it easier to analyze structured data.
Here's why this works:
* Purpose of multikv: Themultikvcommand parses table-formatted events and treats each row as an individual event. This allows you to work with structured data as if it were regular Splunk events.
* Field Extraction: By default,multikvextracts field names from the header row of the table and assigns them to the corresponding values in each row.
* Row-Based Events: Each row in the table becomes a separate event, enabling you to search and filter based on the extracted fields.
Example: Suppose you have a log with the following structure:
Name Age Location
Alice 30 New York
Bob 25 Los Angeles
Using themultikvcommand:
| multikv
This will create two events:
Event 1: Name=Alice, Age=30, Location=New York
Event 2: Name=Bob, Age=25, Location=Los Angeles
Other options explained:
* Option A: Incorrect becausemultikvderives field names from the header row, not the last column.
* Option B: Incorrect becausemultikvcreates events for rows, not columns.
* Option C: Incorrect becausemultikvdoes not require field names to be in ALL CAPS, regardless of the multitablesetting.
References:
* Splunk Documentation onmultikv:https://docs.splunk.com/Documentation/Splunk/latest
/SearchReference/Multikv
* Splunk Documentation on Parsing Structured Data:https://docs.splunk.com/Documentation/Splunk
/latest/Data/Extractfieldsfromstructureddata
NEW QUESTION # 76
Which of the following is valid syntax for the split function?
- A. ... | eval areaCodes = split(phoneNumber, "")
- B. ... | eval split(phone-Number, "_", areaCodes)
- C. ... | eval phoneNumber split("-", 3, areaCodes)
- D. ... | eval split phoneNumber by "" as areaCodes.
Answer: A
Explanation:
The valid syntax for using the split function in Splunk is ... | eval areaCodes = split(phoneNumber, "_"). This function splits the string based on the specified delimiter, creating an array of substrings.
NEW QUESTION # 77
What qualifies a report for acceleration?
- A. More than 100k events in the search results, with a search and transforming command used in the search string.
- B. Fewer than 100k events in search results, with transforming commands used in the search string.
- C. fewer than 100k events in search results, with only a search and transaction command used in the search string.
- D. More than 100k events in search results, with only a search command in the search string.
Answer: B
Explanation:
A report qualifies for acceleration in Splunk if it involves fewer than 100,000 events in the search results and uses transforming commands in the search string (Option A). Transforming commands aggregate data, making it more suitable for acceleration by reducing the dataset's complexity and size, which in turn improves the speed and efficiency of report generation.
NEW QUESTION # 78
How is a multivalue field treated from product="a, b, c, d"?
- A. ... | mvexpand product
- B. ... | makemv delim="," product
- C. ... | makemv delim{product, ","}
- D. ... | eval mvexpand{makemv{product, ","}}
Answer: B
Explanation:
The makemv command with delim="," is used to split a multivalue field like product="a, b, c, d" into separate values, making it easier to manipulate each value individually.
NEW QUESTION # 79
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