SPLK-1004 BOOK FREE | EXAM SPLK-1004 STUDY SOLUTIONS

SPLK-1004 Book Free | Exam SPLK-1004 Study Solutions

SPLK-1004 Book Free | Exam SPLK-1004 Study Solutions

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Tags: SPLK-1004 Book Free, Exam SPLK-1004 Study Solutions, Valid Test SPLK-1004 Test, SPLK-1004 Certification Exam, New SPLK-1004 Exam Pdf

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Splunk is a powerful platform for operational intelligence and data analysis. It enables organizations to collect, index, and analyze massive amounts of data from various sources, including applications, servers, networks, and devices. With Splunk, businesses can derive valuable insights from their data, troubleshoot issues, and improve operational efficiency. To leverage the full potential of Splunk, individuals need to possess the skills and knowledge required to use the platform effectively. The Splunk SPLK-1004 certification exam is designed to validate the advanced skills of power users in using Splunk.

Splunk SPLK-1004 (Splunk Core Certified Advanced Power User) Exam is a certification exam intended for individuals who are already familiar with the fundamentals of Splunk and want to further enhance their skills and knowledge in using the platform. It measures the proficiency and competency of an individual in advanced search and reporting, knowledge objects, and dashboard creation using Splunk.

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Splunk Core Certified Advanced Power User Sample Questions (Q68-Q73):

NEW QUESTION # 68
What command is used la compute find write summary statistic, to a new field in the event results?

  • A. eventstats
  • B. transaction
  • C. stats
  • D. tstats

Answer: A

Explanation:
The eventstats command in Splunk is used to compute and add summary statistics to all events in the search results, similar to the stats command, but without grouping the results into a single event(Option C). This command adds the computed summary statistics as new fields to each event, allowing those fields to be used in subsequent search operations or for display purposes. Unlike the transaction command, which groups events into transactions, eventstats retains individual events while enriching them with statistical information.


NEW QUESTION # 69
Which of the following will best optimize dashboard performance?

  • A. Use accelerated data models.
  • B. Use scheduled reports.
  • C. Use base searches.
  • D. Use inline searches.

Answer: A

Explanation:
Accelerated data models in Splunk create summaries of data that can be queried more efficiently, significantly improving dashboard performance. By precomputing and storing results, dashboards can retrieve data faster, reducing load times and resource consumption.
According to Splunk Documentation:
"Data model acceleration speeds up reporting for the entire set of fields that you define in a data model and which you and your Pivot users want to report on." Reference:Accelerate Data Models - Splunk Documentation


NEW QUESTION # 70
What is the value of base lispy in the Search Job Inspector for the search index=sales clientip=170.192.178.10?

  • A. [ AND 10 170 178 192 index::sales ]
  • B. [ index::sales AND 192 AND 10 AND 178 AND 170 ]
  • C. [ index::sales AND 469 10 702 390 ]
  • D. [ 192 AND 10 AND 178 AND 170 index::sales ]

Answer: B

Explanation:
The base lispy expression represents how Splunk parses and simplifies a search command. In this case, the lispy format shows how Splunk is breaking down the search terms to effectively perform the search.


NEW QUESTION # 71
Which of these generates a summary index containing a count of events byproduct_id?

  • A. sistats summary index by product_id
  • B. stats count by product_id
  • C. sistats count by product_id
  • D. stats si(product_id)

Answer: C

Explanation:
The correct command to generate a summary index containing a count of events by product_id is:
sistats count by product_id
Here's why this works:
* sistats: This command is specifically designed for creating summary indexes. It pre-aggregates data and stores it in a format optimized for fast retrieval.
* count by product_id: This part of the command calculates the count of events grouped by the product_idfield.
Summary indexing is useful when you want to store pre-aggregated data for faster reporting. For example, instead of querying raw data every time, you can query the summary index to get quick results.
Other options explained:
* Option A: Incorrect becausestats si(product_id)is invalid syntax.
* Option B: Incorrect becausestatsis used for real-time aggregation but does not create summary indexes.
* Option D: Incorrect becausesistats summary index by product_idis invalid syntax.
Example:
index=main | sistats count by product_id
References:
* Splunk Documentation onsistats:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference
/sistats
* Splunk Documentation on Summary Indexing:https://docs.splunk.com/Documentation/Splunk/latest
/Knowledge/Usesummaryindexing


NEW QUESTION # 72
Which of the following is true about themultikvcommand?

  • A. Themultikvcommand displays an event for each row in a table-formatted event.
  • B. Themultikvcommand derives field names from the last column in a table-formatted event.
  • C. Themultikvcommand requires field names to be ALL CAPS whenmultitable=false.
  • D. Themultikvcommand creates an event for each 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/Documentation/Splunk/latest/SearchReference
/Multikv
Splunk Documentation on Parsing Structured Data:https://docs.splunk.com/Documentation/Splunk/latest/Data
/Extractfieldsfromstructureddata


NEW QUESTION # 73
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This version of the practice exam is suitable for individuals who are comfortable in practicing for the exam online. This software contains all the features we have discussed above in the paragraph of the desktop version. Actual4Cert online practice test frees you from hassles of installing software and plugins. You can use this format of the Splunk SPLK-1004 Mock Exam on any operating system, and it is accessible via these browsers: Opera, Safari, Chrome, Firefox, MS Edge, and Internet Explorer.

Exam SPLK-1004 Study Solutions: https://www.actual4cert.com/SPLK-1004-real-questions.html

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