[2026年01月15日] 合格させるSplunk SPLK-1004試験情報と無料練習テスト [Q28-Q51]

[2026年01月15日] 合格させるSplunk SPLK-1004試験情報と無料練習テスト

SPLK-1004試験問題集PDF更新された問題集にはGoShiken試験合格保証付き

SPLK-1004試験は、Splunk Coreユーザーの次の認定レベルと考えられており、以前の認定試験で習得したスキルと知識を基盤として構築されています。この試験は、高度な検索技術、フィールドの抽出、イベントタイプ、タグなど、幅広いトピックをカバーしています。また、高度なダッシュボード、レポートの高速化、データモデルなどのトピックもカバーしています。この試験に合格した候補者は、複雑なデータ分析問題を解決するためにSplunk Coreを使用する能力を証明することができます。

 

質問 # 28
Which element attribute is required for event annotation?

• A. <search type=$annotation$>
• B. <search type="event_annotation">
• C. <search style="annotation">
• D. <search type="annotation">

正解：D

解説：
In Splunk dashboards, event annotations are used to add informative overlays on timeline visualizations to mark significant events. The required element attribute to define an event annotation within a dashboard panel is <search type="annotation"> (Option D). This attribute specifies that the search within this element is intended to generate annotations, which are then overlaid on the timeline based on the time and information provided by the search results.

質問 # 29
Which of the following functions' primary purpose is to convert epoch time to a string format?

• A. tostring
• B. tonumber
• C. strftime
• D. strptime

正解：C

解説：
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.

質問 # 30
Which command processes a template for a set of related fields?

• A. bin
• B. xyseries
• C. foreach
• D. untable

正解：C

解説：
The foreach command applies a processing step to each field in a set of related fields. It allows repetitive operations to be applied to multiple fields in one go, streamlining tasks across several fields.

質問 # 31
Which of the following correctly uses mvfilter?

• A. mvfilter(isnotnull(X))
• B. mvfilter(x, isnotnull)
• C. where mvfilter(isnotnull(X))
• D. eval new_field=mvfilter(*)

正解：A

解説：
The mvfilter function in Splunk is used to filter the values of a multivalue field based on a Boolean expression. The correct syntax is:
mvfilter(expression)
Where expression is a condition applied to each value in the multivalue field. For instance:
eval filtered_field = mvfilter(isnotnull(X))
This command filters out null values from the multivalue field X.
Reference:mvfilter - Splunk Documentation

質問 # 32
Which of the following would exclude all entries contained in the lookup file baditems. csv from search results?

• A. NOT (lookup baditems.csv OUTPUT item)
• B. WHERE item NOT IN (baditems.csv)
• C. [NOT inputlookup baditems.csv]
• D. NOT [inputlookup baditems.csv]

正解：D

解説：
The correct syntax to exclude all entries contained in the lookup file baditems.csv from search results is NOT
[inputlookup baditems.csv]. This syntax uses a subsearch with the inputlookup command to retrieve the contents of the baditems.csv lookup file and then uses the NOT operator to exclude those results from the main search. This approach is efficient for filtering out unwanted data based on a predefined list of criteria stored in a lookup file.

質問 # 33
What is returned when Splunk finds fewer than the minimum matches for each lookup value?

• A. The first match unless the time_field attribute is specified.
• B. The default value NULL until the minimum match threshold is reached.
• C. Only the first match.
• D. The default match value until the minimum match threshold Is reached.

正解：B

解説：
When Splunk's lookup feature finds fewer than the minimum matches specified for each lookup value, it returns the default value NULL for those unmatched entries until the minimum match threshold is reached (Option A). This behavior ensures that lookups return consistent and expected results, even when the available data does not meet the specified criteria for a minimum number of matches.

質問 # 34
What does using the tstats command with summariesonly=false do?

• A. Returns no results.
• B. Returns results from both summarized and non-summarized data.
• C. Returns results from only non-summarized data.
• D. Prevents the use of wildcard characters in aggregate functions.

正解：B

解説：
Setting summariesonly=false in the tstats command retrieves results from both summarized (accelerated) and non-summarized (raw) data, allowing a more comprehensive analysis of both types of data in the same query.

質問 # 35
How can form inputs impact dashboard panels using inline searches?

• A. Form inputs can not impact panels using inline searches.
• B. Panels powered by an inline search require a minimum of one form input.
• C. A token in a search can be replaced by a form input value.
• D. Adding a form input to a dashboard converts all panels to prebuilt panels.

正解：C

解説：
Form inputs in Splunk dashboards can dynamically impact the panels using inline searches by allowing a token in the search to be replaced by a form input value (Option D). This capability enables dashboard panels to update their content based on user interaction with the form elements. When a user makes a selection or enters data into a form input, the corresponding token in the search string of a dashboard panel is replaced with this value, effectively customizing the search based on user input. This feature makes dashboards more interactive and adaptable to different user needs or questions.

質問 # 36
What is the function of the |s token filter?

• A. To force no encoding to occur.
• B. To wrap a value in double quotes.
• C. |s is not a valid token filter.
• D. To encode URL values.

正解：B

解説：
In Splunk's Simple XML dashboards, token filters modify how token values are rendered. The |s token filter specifically wraps the token value in double quotes and escapes any internal quotation marks. This is particularly useful when constructing search strings that require quoted values.
For example, using $token_name|s$ ensures that the value of token_name is enclosed in double quotes, which is essential when the value contains spaces or special characters.
Reference:Token usage in dashboards - Splunk Documentation

質問 # 37
Which is a regex best practice?

• A. Use * rather than +.
• B. Use greedy operators (. *) instead of non-greedy operators (. *? ).
• C. Avoid backtracking.
• D. Use complex expressions rather than simple ones.

正解：C

解説：
In regex (regular expressions), one of the best practices is to avoid backtracking when possible. Backtracking occurs when the regex engine revisits previous parts of the input string to attempt different permutations of the pattern, which can significantly degrade performance, especially with complex patterns on large inputs.
Designing regex patterns to minimize or avoid backtracking can lead to more efficient and faster evaluations.

質問 # 38
Which is generally the most efficient way to run a transaction?

• A. Run the search query in Smart Mode.
• B. Rewrite the query usingstatsinstead oftransaction.
• C. Run the search query in Fast Mode.
• D. Using| sortbefore thetransactioncommand.

正解：B

解説：
Comprehensive and Detailed Step by Step Explanation:
The most efficient way to run a transaction is torewrite the query using stats instead of transaction whenever possible. Thetransactioncommand is computationally expensive because it groups events based on complex criteria (e.g., time constraints, shared fields, etc.) and performs additional operations like concatenation and duration calculation.
Here's whystatsis more efficient:
* Performance: Thestatscommand is optimized for aggregating and summarizing data. It is faster and uses fewer resources compared totransaction.
* Use Case: If your goal is to group events and calculate statistics (e.g., count, sum, average),statscan often achieve the same result without the overhead oftransaction.
* Limitations of transaction: Whiletransactionis powerful, it is best suited for specific use cases where you need to preserve the raw event data or calculate durations between events.
Example: Instead of:
| transaction session_id
You can use:
| stats count by session_id
Other options explained:
* Option A: Incorrect because Smart Mode does not inherently optimize thetransactioncommand.
* Option B: Incorrect because sorting beforetransactionadds unnecessary overhead and does not address the inefficiency oftransaction.
* Option C: Incorrect because Fast Mode prioritizes speed but does not change howtransactionoperates.
References:
Splunk Documentation ontransaction:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference
/Transaction
Splunk Documentation onstats:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/Stats

質問 # 39
Which of these generates a summary index containing a count of events byproduct_id?

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

正解：A

解説：
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

質問 # 40
Which of the following groups of commands can use multivalue functions?

• A. eval,fieldformat, andwhere
• B. fieldformat,search, andwhere
• C. eval,fields, andwhere
• D. eval,mvexpand, andmakemv

正解：D

解説：
Comprehensive and Detailed Step by Step Explanation:
Multivalue functions in Splunk are used to manipulate fields that contain multiple values. The correct group of commands that can use multivalue functions is:
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eval, mvexpand, and makemv
Here's why this works:
* eval: This command can use multivalue functions likemvappend(),mvcount(), andmvjoin()to manipulate multivalue fields.
* mvexpand: This command expands multivalue fields into separate events, making it easier to work with individual values.
* makemv: This command splits a single-value field into a multivalue field based on a delimiter.
Other options explained:
* Option A: Incorrect becausefieldformatis used for formatting display values and does not support multivalue functions.
* Option B: Incorrect becausefieldsis used to include or exclude fields but does not handle multivalue fields.
* Option C: Incorrect becausefieldformatandsearchdo not support multivalue functions.
Example:
| makeresults
| eval products="productA,productB,productC"
| makemv delim="," products
| mvexpand products
References:
Splunk Documentation on Multivalue Functions:https://docs.splunk.com/Documentation/Splunk/latest
/SearchReference/MultivalueEvalFunctions
Splunk Documentation onmvexpand:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference
/mvexpand

質問 # 41
Which of the following functions' primary purpose is to convert epoch time to a string format?

• A. tostring
• B. tonumber
• C. strftime
• D. strptime

正解：C

解説：
The strftime function in Splunk is used to convert epoch time (also known as POSIX time or Unix time, which is a system for describing points in time as the number of seconds elapsed since January 1, 1970) into a human-readable string format. This function is particularly useful when formatting timestamps in search results or when creating more readable time representations in dashboards and reports. The strftime function takes an epoch time value and a format string asarguments and returns the formatted time as a string according to the specified format. The other options (tostring, strptime, and tonumber) serve different purposes: tostring converts values to strings, strptime converts string representations of time into epoch format, and tonumber converts values to numbers.

質問 # 42
Which function of the stats command creates a multivalue entry?

• A. list
• B. makemv
• C. eval
• D. mvcombine

正解：A

解説：
The list function of the stats command creates a multivalue entry, combining multiple occurrences of a field into a single multivalue field.
Thelistfunction of thestatscommand creates amultivalue entryby aggregating values from multiple events into a single field. This is particularly useful when you want to group data and collect all matching values into a list.
Here's why this works:
* Purpose of list: Thelistfunction collects all values of a specified field for each group and stores them as a multivalue field. For example, if you group byuser_id, thelistfunction will create a multivalue field containing all correspondingproductvalues for that user.
* Multivalue Fields: Multivalue fields allow you to handle multiple values within a single field, which can be expanded or manipulated using commands likemvexpandorforeach.
References:
* Splunk Documentation onstats:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference
/stats
* Splunk Documentation on Multivalue Fields:https://docs.splunk.com/Documentation/Splunk/latest
/SearchReference/MultivalueEvalFunctions

質問 # 43
What is a performance improvement technique unique to dashboards?

• A. Using stats instead of transaction
• B. Using report acceleration
• C. Using data model acceleration
• D. Using global searches

正解：D

解説：
In Splunk, dashboards are powerful tools for visualizing and analyzing data. However, as dashboards grow in complexity and the volume of data increases, performance optimization becomes critical. One technique unique to dashboards is the use ofglobal searches.
What Are Global Searches?
A global search allows multiple panels within a dashboard to share the same base search. Instead of each panel running its own independent search, all panels derive their results from a single, shared search. This reduces the computational load on the Splunk instance because it eliminates redundant searches and ensures that the data is processed only once.
Why Is This Unique to Dashboards?
Global searches are specifically designed for dashboards where multiple panels often rely on the same dataset or search logic. By consolidating the search into one query, Splunk avoids duplicating effort, which improves performance significantly. This technique is not applicable to standalonesearches or reports, making it unique to dashboards.
Comparison with Other Options:
* B. Using data model acceleration:Data model acceleration (DMA) is a powerful feature for speeding up searches over large datasets by precomputing and storing summarized data. However, it is not unique to dashboards-it can be used in any type of search or report.
* C. Using stats instead of transaction:Replacingtransactioncommands withstatsis a general best practice for improving search performance. While this is a valid optimization technique, it applies universally across Splunk and is not specific to dashboards.
* D. Using report acceleration:Report acceleration is another general-purpose optimization technique that speeds up saved searches by creating summaries of the data. Like DMA, it is not exclusive to dashboards.
Benefits of Global Searches:
* Reduced Search Load:By sharing a single search across multiple panels, the number of searches executed is minimized.
* Faster Dashboard Loading:Since the data is fetched once and reused, dashboards load faster.
* Consistent Results:All panels using the global search will display consistent results derived from the same dataset.
Example of Global Search in a Dashboard:
<dashboard>
<search id="base_search">
<query>index=main sourcetype=access_combined | fields clientip, status, method</query>
</search>
<panel>
<title>Status Codes</title>
<table>
<search base="base_search">
<query>| stats count by status</query>
</search>
</table>
</panel>
<panel>
<title>Top Clients</title>
<chart>
<search base="base_search">
<query>| top clientip</query>
</search>
</chart>
</panel>
</dashboard>
In this example, thebase_searchis defined once and reused by both panels. Each panel adds additional processing (statsortop) to the shared results, reducing redundancy.
References:
* Splunk Documentation - Dashboard Best Practices:https://docs.splunk.com/Documentation/Splunk
/latest/Viz/BestPracticesThis document highlights the importance of global searches for optimizing dashboard performance.
* Splunk Documentation - Global Searches:https://docs.splunk.com/Documentation/Splunk/latest/Viz
/PanelreferenceforSimplifiedXML#Global_searchesDetailed explanation of how global searches work and their implementation in dashboards.
* Splunk Core Certified Power User Learning Path:The official Splunk training materials emphasize the use of global searches as a key technique for improving dashboard performance.
By leveraging global searches, users can ensure their dashboards remain efficient and responsive even as data volumes grow. This makesOption Athe correct and verified answer.

質問 # 44
What is one way to troubleshoot dashboards?

• A. Run the | previous_searches command to troubleshoot your SPL queries.
• B. Go to the Troubleshooting dashboard of the Search & Reporting app.
• C. Delete the dashboard and start over.
• D. Create an HTML panel using tokens to verify that they are being set.

正解：B

解説：
To troubleshoot dashboards in Splunk, go to the Troubleshooting dashboard of the Search & Reporting app. This tool provides insights into performance and potential issues, helping identify and resolve problems efficiently.

質問 # 45
What is one way to troubleshoot dashboards?

• A. Run the | previous_searches command to troubleshoot your SPL queries.
• B. Delete the dashboard and start over.
• C. Create an HTML panel using tokens to verify that they are being set.
• D. Go to the Troubleshooting dashboard of me Searching and Reporting app.

正解：D

解説：
To troubleshoot dashboards in Splunk, one effective approach is to go to the Troubleshooting dashboard of the Search & Reporting app (Option B). This dashboard provides insights into the performance and potential issues of other dashboards and searches, offering a centralized place to diagnose and address problems. This method allows for a structured approach to troubleshooting, leveraging built-in tools and reports to identify and resolve issues.

質問 # 46
Which of these generates a summary index containing a count of events by productId?

• A. | stats sum (productId)
• B. | sistats count by productId
• C. sistats summary_index by productId
• D. | stats count by productId

正解：D

解説：
The stats count by productId command counts the number of events for each unique productId, making it the correct command for generating a summary index based on event counts.

質問 # 47
Which of the following is accurate about cascading inputs?

• A. Inputs added to panels cannot participate.
• B. The final input has no impact on previous inputs.
• C. Only the final input of the sequence can supply a token to searches.
• D. They can be reset by an event handler.

正解：D

解説：
Cascading inputs allow one input's selection to determine the options available in subsequent inputs. An event handler can reset the cascading sequence based on user interactions, ensuring the following inputs reflect appropriate options based on prior selections.
Cascading inputs in Splunk dashboards allow one input to dynamically update or influence another input.
These inputs are often used to create dependent dropdowns or filters. One key feature of cascading inputs is that theycan be reset by an event handler.
Here's why this works:
* Cascading Behavior: Cascading inputs are designed to update dynamically based on user selections.
For example, selecting a value in one dropdown might populate or filter the options in another dropdown.
* Resetting Inputs: Event handlers (e.g.,changeevents) can reset or clear the values of cascading inputs when certain conditions are met. This ensures that the dashboard remains consistent and avoids invalid combinations of inputs.
* Dynamic Tokens: Cascading inputs use tokens to pass values between inputs and searches.These tokens can be updated or cleared dynamically using event handlers.
References:
* Splunk Documentation on Cascading Inputs:https://docs.splunk.com/Documentation/Splunk/latest/Viz
/Cascadinginputs
* Splunk Documentation on Event Handlers:https://docs.splunk.com/Documentation/Splunk/latest/Viz
/EventHandlerReference

質問 # 48
If a search contains a subsearch, what is the order of execution?

• A. The order of execution depends on whether either search uses a stats command.
• B. The inner search executes first.
• C. The two searches are executed in parallel.
• D. The outer search executes first.

正解：B

解説：
In a Splunk search containing a subsearch, the inner subsearch executes first. The result of the subsearch is then passed to the outer search, which often depends on the results of the inner subsearch to complete its execution.

質問 # 49
Which stats function is used to return a sorted list of unique field values?

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

正解：A

解説：
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.

質問 # 50
Which syntax is used when referencing multiple CSS files in a view?

• A. <dashboard stylesheet="custom.css | userapps.css">
• B. <dashboard style="custom.css, userapps.css">
• C. <dashboard stylesheet="custom.css, userapps.css">
• D. <dashboard stylesheet=custom.css stylesheet=userapps.css>

正解：C

解説：
To reference multiple CSS files in a Splunk dashboard, you use the stylesheet attribute with a comma- separated list of file names enclosed in quotes. The correct syntax is:
xml
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<dashboard stylesheet="custom.css, userapps.css">
Here's why this works:
* stylesheet Attribute : The stylesheet attribute allows you to specify one or more CSS files to style your dashboard.
* Comma-Separated List : Multiple CSS files are referenced by listing their names separated by commas within a single stylesheet attribute.
* Quotes : The entire list of CSS files must be enclosed in quotes to ensure proper parsing.
Other options explained:
* Option A : Incorrect because the pipe (|) character is not valid for separating CSS file names.
* Option B : Incorrect because the style attribute is not used for referencing CSS files in Splunk dashboards.
* Option C : Incorrect because the stylesheet attribute cannot be repeated; instead, all CSS files must be listed in a single stylesheet attribute.
Example:
<dashboard stylesheet="custom.css, userapps.css">
<label>Styled Dashboard</label>
<row>
<panel>
<title>Panel Title</title>
<table>
<search>
<query>index=_internal | head 10</query>
</search>
</table>
</panel>
</row>
</dashboard>
References:
* Splunk Documentation on Dashboard Styling:https://docs.splunk.com/Documentation/Splunk/latest/Viz
/CustomizeDashboardCSS
* Splunk Documentation on XML Structure:https://docs.splunk.com/Documentation/Splunk/latest/Viz
/PanelreferenceforSimplifiedXML

質問 # 51
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Splunk SPLK-1004認定試験は、Splunk Coreを使用する際の高度な知識とスキルを検証しようとしている経験豊富なSplunkユーザー向けに設計されています。この試験は、Splunkプラットフォームと、検索処理言語（SPL）、データモデル、高度な統計、視覚化などのさまざまなコンポーネントを深く理解している個人を対象としています。 SPLK-1004認証試験は、Splunkプラットフォームを使用して複雑なビジネス上の問題を解決し、強力なデータ駆動型ソリューションを作成する個人の能力を厳密にテストすることです。

 

あなたを合格させるSplunk試験にはSPLK-1004試験問題集：https://www.goshiken.com/Splunk/SPLK-1004-mondaishu.html

SPLK-1004試験問題集でSplunk練習テスト問題：https://drive.google.com/open?id=1WHOxXgLddv8NN8jnekdFm88aP92gRoot