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[Hardware] Simulate the Real Exam with Splunk SPLK-1004 Practice Exams

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【Hardware】 Simulate the Real Exam with Splunk SPLK-1004 Practice Exams

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Splunk SPLK-1004 certification exam is designed for those who want to prove their proficiency in using Splunk to analyze data and gain insights. Splunk Core Certified Advanced Power User certification is intended for advanced power users who have mastered the skills required to get the most out of Splunk. The SPLK-1004 Exam covers a wide range of topics, including data input and parsing, advanced search techniques, data visualization, and more.
Splunk Core Certified Advanced Power User Sample Questions (Q82-Q87):NEW QUESTION # 82
What qualifies a report for acceleration?
  • A. More than 100k events in search results, with only a search command in the search string.
  • B. fewer than 100k events in search results, with only a search and transaction command used in the search string.
  • C. More than 100k events in the search results, with a search and transforming command used in the search string.
  • D. Fewer than 100k events in search results, with transforming commands used in the search string.
Answer: D
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 # 83
What is a performance improvement technique unique to dashboards?
  • A. Using data model acceleration
  • B. Using stats instead of transaction
  • C. Using report acceleration
  • D. Using global searches
Answer: D
Explanation:
In Splunk, dashboards are powerful tools for visualizing and analyzing data. However, as dashboards grow in complexity and the volume of data increases, performance optimization becomes critical. One technique unique to dashboards is the use ofglobal searches.
What Are Global Searches?
A global search allows multiple panels within a dashboard to share the same base search. Instead of each panel running its own independent search, all panels derive their results from a single, shared search. This reduces the computational load on the Splunk instance because it eliminates redundant searches and ensures that the data is processed only once.
Why Is This Unique to Dashboards?
Global searches are specifically designed for dashboards where multiple panels often rely on the same dataset or search logic. By consolidating the search into one query, Splunk avoids duplicating effort, which improves performance significantly. This technique is not applicable to standalonesearches or reports, making it unique to dashboards.
Comparison with Other Options:
* B. Using data model accelerationata model acceleration (DMA) is a powerful feature for speeding up searches over large datasets by precomputing and storing summarized data. However, it is not unique to dashboards-it can be used in any type of search or report.
* C. Using stats instead of transaction:Replacingtransactioncommands withstatsis a general best practice for improving search performance. While this is a valid optimization technique, it applies universally across Splunk and is not specific to dashboards.
* D. Using report acceleration:Report acceleration is another general-purpose optimization technique that speeds up saved searches by creating summaries of the data. Like DMA, it is not exclusive to dashboards.
Benefits of Global Searches:
* Reduced Search Load:By sharing a single search across multiple panels, the number of searches executed is minimized.
* Faster Dashboard Loading:Since the data is fetched once and reused, dashboards load faster.
* Consistent Results:All panels using the global search will display consistent results derived from the same dataset.
Example of Global Search in a Dashboard:
<dashboard>
<search id="base_search">
<query>index=main sourcetype=access_combined | fields clientip, status, method</query>
</search>
<panel>
<title>Status Codes</title>
<table>
<search base="base_search">
<query>| stats count by status</query>
</search>
</table>
</panel>
<panel>
<title>Top Clients</title>
<chart>
<search base="base_search">
<query>| top clientip</query>
</search>
</chart>
</panel>
</dashboard>
In this example, thebase_searchis defined once and reused by both panels. Each panel adds additional processing (statsortop) to the shared results, reducing redundancy.
References:
* Splunk Documentation - Dashboard Best Practices:https://docs.splunk.com/Documentation/Splunk
/latest/Viz/BestPracticesThis document highlights the importance of global searches for optimizing dashboard performance.
* Splunk Documentation - Global Searches:https://docs.splunk.com/Documentation/Splunk/latest/Viz
/PanelreferenceforSimplifiedXML#Global_searchesDetailed explanation of how global searches work and their implementation in dashboards.
* Splunk Core Certified Power User Learning Path:The official Splunk training materials emphasize the use of global searches as a key technique for improving dashboard performance.
By leveraging global searches, users can ensure their dashboards remain efficient and responsive even as data volumes grow. This makesOption Athe correct and verified answer.

NEW QUESTION # 84
Which of the following are potential string results returned by the type of function?
  • A. Field, Value, Lookup
  • B. Number, Siring, Bool
  • C. True, False, Unknown
  • D. Number, String, Null
Answer: D
Explanation:
The typeof function in Splunk returns a string that represents the data type of the evaluated expression. The potential string results include "Number", "String", and "Null" (Option C). These indicate whether the evaluated expression is a numerical value, a string, or a null value, respectively, helping users understand the data types they are working with in their searches andscripts.

NEW QUESTION # 85
Which of the following is true about themultikvcommand?
  • A. Themultikvcommand displays an event for each row 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 derives field names from the last column in a table-formatted event.
Answer: A
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/Document ... est/SearchReference
/Multikv
Splunk Documentation on Parsing Structured Data:https://docs.splunk.com/Documentation/Splunk/latest/Data
/Extractfieldsfromstructureddata

NEW QUESTION # 86
Which of the following is not a common default time field?
  • A. date_zone
  • B. date_day
  • C. date_minute
  • D. date_year
Answer: A
Explanation:
Fields like date_minute, date_year, and date_day are common default time fields in Splunk, while date_zone is not typically a default field for time-related data.

NEW QUESTION # 87
......
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