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この試験は、65の質問で構成され、90分の時間制限がある統治された複数選択テストです。候補者は、オンラインまたはピアソンビューテストセンターで試験を受けることができます。試験の準備をするために、候補者はSplunkの公式トレーニングコースを受講したり、オンラインで入手可能な他の学習資料を使用したりできます。 Splunk SPLK-1004認定試験に合格するには、70%以上のスコアが必要です。
質問 # 114
The fieldproductscontains a multivalued field containing the names of products. What is the result of the commandmvexpand products limit=<x>?
正解:A
解説:
Comprehensive and Detailed Step by Step Explanation:Themvexpandcommand in Splunk is used to expand multivalue fields into separate events. When you usemvexpandon a field likeproducts, which contains multiple values, it creates a new event for each value in the multivalue field. For example, if the productsfield contains the values[productA, productB, productC], runningmvexpand productswill create three separate events, each containing one of the values (productA,productB, orproductC).
The optionallimit=<x>parameter specifies the maximum number of values to expand. Iflimit=2, only the first two values (productAandproductB) will be expanded into separate events, and any remaining values will be ignored.
Key points aboutmvexpand:
* It works only on multivalue fields.
* It does not modify the original field but creates new events based on its values.
* Thelimitparameter controls how many values are expanded.
Example:
| makeresults
| eval products="productA,productB,productC"
| makemv delim="," products
| mvexpand products
This will produce three separate events, one for each product.
References:
* Splunk Documentation onmvexpand:https://docs.splunk.com/Documentation/Splunk/latest
/SearchReference/mvexpand
質問 # 115
How is a cascading input used?
正解:C
解説:
A cascading input is used to filter other input selections in a dashboard or form, allowing for a dynamic user interface where one input influences the options available in another input.
Cascading Inputs:
Definition:Cascading inputs are interconnected input controls in a dashboard where the selection in one input filters the options available in another. This creates a hierarchical selection process, enhancing user experience by presenting relevant choices based on prior selections.
Implementation:
Define Input Controls:
Create multiple input controls (e.g., dropdowns) in the dashboard.
Set Token Dependencies:
Configure each input to set a token upon selection.
Subsequent inputs use these tokens to filter their available options.
Example:
Consider a dashboard analyzing sales data:
Input 1:Country Selection
Dropdown listing countries.
Sets a token $country$ upon selection.
Input 2:City Selection
Dropdown listing cities.
Uses the $country$ token to display only cities within the selected country.
XML Configuration:
< input type= " dropdown " token= " country " >
< label > Select Country < /label >
< choice value= " USA " > USA < /choice >
< choice value= " Canada " > Canada < /choice >
< /input >
< input type= " dropdown " token= " city " >
< label > Select City < /label >
< search >
< query > index=sales_data country=$country$ | stats count by city < /query >
< /search >
< /input >
In this setup:
Selecting a country sets the $country$ token.
The city dropdown ' s search uses this token to display cities relevant to the selected country.
Benefits:
Improved User Experience:Users are guided through a logical selection process, reducing the chance of invalid or irrelevant selections.
Data Relevance:Ensures that dashboard panels and visualizations reflect data pertinent to the user ' s selections.
Other Options Analysis:
B).As part of a dashboard, but not in a form:
Cascading inputs are typically used within forms in dashboards to collect user input. This option is incorrect as it suggests a limitation that doesn ' t exist.
C).Without token notation in the underlying XML:
Cascading inputs rely on tokens to pass values between inputs. Therefore, token notation is essential in the XML configuration.
D).As a default way to delete a user role:
This is unrelated to the concept of cascading inputs.
Conclusion:
Cascading inputs are used in dashboards to create a dependent relationship between input controls, allowing selections in one input to filter the options available in another, thereby enhancing data relevance and user experience.
Reference:
Splunk Documentation: Set up cascading or dependent inputs
質問 # 116
Which of the following cannot be accomplished with a webhook alert action?
正解:A
解説:
Comprehensive and Detailed Step by Step Explanation:A webhook in Splunk is designed to send HTTP POST requests to a specified URL when an alert is triggered. This mechanism allows Splunk to communicate with external systems by pushing data to them.Common use cases for webhooks include:
* Creating a ticket in a support application:By sending a POST request to the support application's API endpoint with the necessary details, a new ticket can be created automatically.
* Posting a notification on a web page:If the web page has an API that accepts POST requests, Splunk can send data to it, resulting in a notification being displayed.
* Posting a message in a chatroom:Many chat platforms offer webhook integrations where POST requests can send messages to specific channels or chatrooms.
However,retrieving data from a web pageis not within the capabilities of a webhook. Webhooks are designed for outbound communication (sending data) and do not handle inbound requests or data retrieval. To fetch or retrieve data from external sources, other methods such as scripted inputs or custom scripts would be required.
質問 # 117
What is the recommended way to create a field extraction that is both persistent and precise?
正解:D
質問 # 118
Where can wildcards be used in the tstats command?
正解:C
解説:
The tstats command in Splunk is optimized for performance and has specific limitations regarding the use of wildcards.
According to Splunk Documentation:
"The tstats command does not support wildcard characters in field values in aggregate functions or BY clauses."
"You can use wildcards in the where clause to filter results."
This means that while wildcards are not permitted in the by or from clauses, they can be effectively used within the where clause to filter data based on pattern matching.
Reference:tstats - Splunk Documentation
質問 # 119
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SPLK-1004試験時間: https://www.goshiken.com/Splunk/SPLK-1004-mondaishu.html
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