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Splunk Core Certified Advanced Power User Sample Questions (Q81-Q86):

NEW QUESTION # 81
Which of the following is a valid event action in Splunk?

A. Execute an eval statement.
B. Edit an event in the raw data.
C. Execute a stats statement.
D. Create a new REST API endpoint.

Answer: A

Explanation:
In Splunk, event actions are operations that can be performed on events within the Search & Reporting app.
One valid event action is executing an eval statement, which allows users to compute and add new fields to events dynamically.
According to Splunk Documentation:
"You can define workflow actions that perform tasks such as running a search, opening a URL, or executing an eval expression." Reference:Control workflow action appearance in field and event menus - Splunk Documentation

NEW QUESTION # 82
Which stats function is used to return a sorted list of unique field values?

A. sum
B. count
C. values
D. list

Answer: C

Explanation:
The values function in the stats command in Splunk is used to return a sorted list of unique field values (Option A). This function is particularly useful for summarizing data by listing all unique values of a specified field across the events returned by the search, which can provide insights into the diversity and distribution of the data associated with that field.

NEW QUESTION # 83
Which of these generates a summary index containing a count of events byproduct_id?

A. stats count by product_id
B. sistats summary index 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 # 84
what is the result of the xyseries command?

A. To transform a stats-like output into chart-like output.
B. To transform a multi-series output into single series output.
C. To transform a chart-like output into a stats-like output.
D. To transform single series output into a multi-series output

Answer: A

Explanation:
The result of the xyseries command in Splunk is to transform a stats-like output into chart-like output (Option B). The xyseries command restructures the search results so that each row represents a unique combination of x and y values, suitable for plotting in a chart, making it easier to visualize complex relationships between multiple data points.

NEW QUESTION # 85
Which of the following is a valid use of the eval command?

A. To group events by a specific field.
B. To calculate the sum of a numeric field across all events.
C. To create a new field based on an existing field's value.
D. To filter events based on a condition.

Answer: C

Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
The eval command in Splunk is a versatile tool used for manipulating and creating fields during search time.
It allows users to perform calculations, convert data types, and generate new fields based on existing data.
Primary Uses of the eval Command:
* Creating New Fields:One of the most common uses of eval is to create new fields by transforming existing data. For example, extracting a substring, performing arithmetic operations, or concatenating strings.
Example:
spl
CopyEdit
| eval full_name = first_name . " " . last_name
This command creates a new field called full_name by concatenating the first_name and last_name fields with a space in between.
* Conditional Processing:eval can be used to assign values to a field based on conditional logic, similar to an "if-else" statement.
Example:
spl
CopyEdit
| eval status = if(response_time > 1000, "slow", "fast")
This command creates a new field called status that is set to "slow" if the response_time exceeds 1000 milliseconds; otherwise, it's set to "fast".
Analysis of Options:
A:To filter events based on a condition:
* Explanation:Filtering events is typically achieved using the where command or by specifying conditions directly in the search criteria. While eval can be used to create fields that represent certain conditions, it doesn't directly filter events.
B:To calculate the sum of a numeric field across all events:
* Explanation:Calculating the sum across events is performed using the stats command with the sum() function. eval operates on a per-event basis and doesn't aggregate data across multiple events.
C:To create a new field based on an existing field's value:
* Explanation:This is a primary function of the eval command. It allows for the creation of new fields by transforming or manipulating existing field values within each event.
D:To group events by a specific field:
* Explanation:Grouping events is accomplished using commands like stats, chart, or timechart with a by clause. eval doesn't group events but can be used to create or modify fields that can later be used for grouping.
Conclusion:
The eval command is best utilized for creating new fields or modifying existing fields within individual events. Therefore, the valid use of the eval command among the provided options isto create a new field based on an existing field's value.
Reference:
Splunk Documentation: eval command

NEW QUESTION # 86
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SPLK-1004 Online Training Materials - Pass Guaranteed Quiz Splunk SPLK-1004 First-grade Questions Answers

SPLK-1004 Questions Answers & Simulated SPLK-1004 Test

Splunk Core Certified Advanced Power User Sample Questions (Q81-Q86):

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