매달, 우리는 1000명 이상의 사람들이 시험 준비를 잘하고 시험을 잘 통과할 수 있도록 도와줍니다.
Splunk Core Certified Advanced Power User Exam 온라인 연습
최종 업데이트 시간: 2025년06월18일
당신은 온라인 연습 문제를 통해 Splunk SPLK-1004 시험지식에 대해 자신이 어떻게 알고 있는지 파악한 후 시험 참가 신청 여부를 결정할 수 있다.
시험을 100% 합격하고 시험 준비 시간을 35% 절약하기를 바라며 SPLK-1004 덤프 (최신 실제 시험 문제)를 사용 선택하여 현재 최신 70개의 시험 문제와 답을 포함하십시오.
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Explanation:
Contextual drilldown allows values from user clicks to be passed into another dashboard or external page, making dashboards interactive and responsive to user input.
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The transaction command requires events in ascending chronological order to group related events correctly into meaningful transactions.
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The correct way to exclude entries from the lookup file baditems.csv is using NOT [inputlookup baditems.csv]. This syntax excludes all entries in the lookup from the main search results.
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stats and eval are recommended over subsearches because they are more efficient and scalable. Subsearches can be slow and resource-intensive, whereas stats aggregates data, and eval performs calculations within the search.
The stats and eval commands should be used instead of subsearches whenever possible because subsearches have performance limitations. They return only a maximum of 10,000 results or execute within 60 seconds by default, which may cause incomplete results. Using stats allows aggregation of large datasets efficiently, while eval can manipulate field values within a search rather than relying on subsearches.
Reference: Splunk Documentation - Stats Command
Splunk Documentation - Eval Command
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Explanation:
The tstats command is used to generate statistics on indexed fields, particularly from accelerated data models. It operates on indexed-time summaries, making it more efficient than using raw data.
The tstats command is used to generate statistics on indexed fields. It is highly efficient because it operates directly on indexed data (e.g., metadata or data model datasets) rather than raw event data.
Here’s why this works:
Indexed Fields: Indexed fields include metadata fields like _time, host, source, and sourcetype, as well as fields defined in data models. Since these fields are preprocessed and stored in the index, querying them with tstats is faster than searching raw events.
Performance: tstats is optimized for large-scale searches and is particularly useful for summarizing data across multiple indexes or time ranges.
Data Models: tstats can also query data model datasets, making it a powerful tool for working with accelerated data models.
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Explanation:
The correct XML hierarchy for a dashboard panel is <dashboard><row><panel>. The <dashboard> element contains rows, and within each <row>, there are panels that hold visualizations or searches.
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When a nested macro expands to a search string that begins with a generating command, square brackets are required to ensure proper interpretation. Square brackets allow the nested macro to be treated as a subsearch or command.
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Splunk uses KMZ or KML files to define geospatial lookups. These formats are designed for geographic annotation and mapping, making them ideal for geospatial data in Splunk.
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Splunk supports external lookups that enrich search results using scripts or binary executables. Python and binary executables are commonly used for creating these external lookups, as Python is widely supported, and binary executables can handle performance-critical tasks.
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The strftime function in Splunk is used to convert epoch time into a human-readable string format. It takes an epoch time value and a format string as arguments and returns the time as a formatted string. Other options, like strptime, convert string representations of time into epoch format, while tostring converts values to strings, and tonumber converts values to numbers.
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Self-describing data includes information about its structure within the data itself. Examples include formats like JSON and XML, where the data schema is embedded and can be easily interpreted without external references.
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Form inputs in Splunk dashboards allow users to dynamically interact with the data displayed in panels. When a panel uses an inline search, you can use tokens to replace parts of the search query with values provided by form inputs.
Here’s how this works:
Tokens: Tokens are placeholders in a search query that can be dynamically replaced with user-provided values from form inputs (e.g., dropdowns, text boxes).
Dynamic Searches: When a user interacts with a form input, the token value is updated, and the search query is re-executed with the new value.
Inline Searches: Inline searches are defined directly within the panel's XML or configuration, and they can include tokens to make them dynamic.
For example:
<input type="dropdown" token="selected_product">
<label>Select Product</label>
<choice value="productA">Product A</choice>
<choice value="productB">Product B</choice>
</input>
<panel>
<title>Sales for $selected_product$</title>
<table>
<search>
<query>index=sales product="$selected_product$" | stats count by region</query> </search>
</table>
</panel>
Other options explained:
Option A: Incorrect because form inputs can indeed impact panels using inline searches.
Option B: Incorrect because adding a form input does not automatically convert panels to prebuilt panels.
Option D: Incorrect because panels using inline searches do not require a minimum of one form input.
Reference: Splunk Documentation on Tokens:
https://docs.splunk.com/Documentation/Splunk/latest/Viz/UseTokenstoBuildDynamicInputs
Splunk Documentation on Inline Searches:
https://docs.splunk.com/Documentation/Splunk/latest/Viz/PanelreferenceforSimplifiedXML
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Explanation:
The values function in the stats command returns a sorted list of unique values from a specified field, making it helpful for summarizing and analyzing data.
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The output of the append command is added to the end of the current search results. This is useful for concatenating additional data from a subsearch.
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In Splunk, a lookup can be referenced in an alert by running a search that incorporates the lookup and saving that search as an alert. This allows the alert to use the lookup data as part of its logic.