SPLK-1004日本語関連対策 & SPLK-1004資格トレーニングPass4TestのSPLK-1004問題集はあなたを楽に試験の準備をやらせます。それに、もし最初で試験を受ける場合、試験のソフトウェアのバージョンを使用することができます。これは完全に実際の試験雰囲気とフォーマットをシミュレートするソフトウェアですから。このソフトで、あなたは事前に実際の試験を感じることができます。そうすれば、実際のSPLK-1004試験を受けるときに緊張をすることはないです。ですから、心のリラックスした状態で試験に出る問題を対応することができ、あなたの正常なレベルをプレイすることもできます。 Splunk Core Certified Advanced Power User 認定 SPLK-1004 試験問題 (Q91-Q96):質問 # 91
What does Splunk recommend when using the Field Extractor and Interactive Field Extractor(IFX)?
A. Use both tools interchangeably for any data type.
B. Use the Field Extractor for structured data and the IFX for unstructured data.
C. Use the IFX for structured data and the Field Extractor for unstructured data.
D. Avoid using both tools for field extraction.
正解：B
解説：
Comprehensive and Detailed Step-by-Step Explanation:
Splunk provides two primary tools for creating field extractions: theField Extractorand theInteractive Field Extractor (IFX). Each tool is optimized for different data structures, and understanding their appropriate use cases ensures efficient and accurate field extraction.
Field Extractor:
* Purposeesigned for structured data, where events have a consistent format with fields separated by common delimiters (e.g., commas, tabs).
* Method:Utilizes delimiter-based extraction, allowing users to specify the delimiter and assign names to the extracted fields.
* Use Case:Ideal for data like CSV files or logs with a predictable structure.
Interactive Field Extractor (IFX):
* Purpose:Tailored for unstructured data, where events lack a consistent format, making it challenging to extract fields using simple delimiters.
* Method:Employs regular expression-based extraction. Users can highlight sample text in events, and IFX generates regular expressions to extract similar patterns across events.
* Use Case:Suitable for free-form text logs or data with varying structures.
Best Practices:
* Structured Data:For data with a consistent and predictable structure, use theField Extractorto define field extractions based on delimiters. This method is straightforward and efficient for such data types.
* Unstructured Data:When dealing with data that lacks a consistent format, leverage theInteractive Field Extractor (IFX). By highlighting sample text, IFX assists in creating regular expressions to accurately extract fields from complex or irregular data.
Conclusion:
Splunk recommends using theField Extractorfor structured data and theInteractive Field Extractor (IFX) for unstructured data. This approach ensures that field extractions are tailored to the data's structure, leading to more accurate and efficient data parsing.
質問 # 92
Which of the following is true about nested macros?
A. The outer macro name must be surrounded by backticks.
B. The inner macro passes arguments to the outer macro.
C. The inner macro should be created first.
D. The outer macro should be created first.
正解：C
解説：
Comprehensive and Detailed Step by Step Explanation:When working withnested macrosin Splunk, the inner macro should be created first. This ensures that the outer macro can reference and use the inner macro correctly during execution.
Here's why this works:
* Macro Execution Order: Macros are processed in a hierarchical manner. The inner macro is executed first, and its output is then passed to the outer macro for further processing.
* Dependency Management: If the inner macro does not exist when the outer macro is defined, Splunk will throw an error because the outer macro cannot resolve the inner macro's definition.
Other options explained:
* Option B: Incorrect because the outer macro depends on the inner macro, so the inner macro must be created first.
* Option C: Incorrect because macro names are referenced using dollar signs ($macro_name$), not backticks. Backticks are used for inline searches or commands.
* Option D: Incorrect because arguments are passed to the inner macro, not the other way around. The inner macro processes the arguments and returns results to the outer macro.
Example:
# Define the inner macro
[inner_macro(1)]
args = arg1
definition = eval result = $arg1$ * 2
# Define the outer macro
[outer_macro(1)]
args = arg1
definition = `inner_macro($arg1$)`
In this example,inner_macromust be defined beforeouter_macro.
References:
* Splunk Documentation on Macros:https://docs.splunk.com/Documentation/Splunk/latest/Knowledge
/Definesearchmacros
* Splunk Documentation on Nested Macros:https://docs.splunk.com/Documentation/Splunk/latest/Search
/Usesearchmacros
質問 # 93
Which stats function is used to return a sorted list of unique field values?
A. sum
B. count
C. list
D. values
正解：D
解説：
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.
質問 # 94
When would a distributable streaming command be executed on an indexer?
A. If any of the preceding search commands are executed on the search head.
B. If all preceding search commands are executed on the indexer, and a streamstats command is used.
C. If all preceding search commands are executed on the indexer.
D. If some of the preceding search commands are executed on the indexer, and a timerchart command is used.
正解：C
質問 # 95
What are the results from the transaction command when keepevicted=true?
A. Only failed transactions are kept in the data
B. The search results include data from failed transactions
C. All closed values are set to 1
D. All closed transaction values are set to 0
正解：B
解説：
The keepevicted parameter in the transaction command controls whether evicted transactions are included in the search results. Evicted transactions are those that were not completed within specified constraints like maxspan, maxpause, or maxevents.
According to Splunk Documentation:
"keepevicted: Whether to output evicted transactions. Evicted transactions can be distinguished from non- evicted transactions by checking the value of the 'closed_txn' field."
"The 'closed_txn' field is set to '0' for evicted transactions and '1' for closed transactions." By setting keepevicted=true, you ensure that these incomplete or failed transactions are included in your search results, allowing for comprehensive analysis.
Reference:transaction - Splunk Documentation
esigned for structured data, where events have a consistent format with fields separated by common delimiters (e.g., commas, tabs).