検証済みのSPLK-1004問題集と解答で合格保証もしくは全額返金 [2024年03月]
SPLK-1004のPDF問題集で2024年03月05日最近更新された問題
質問 # 28
Repeating JSON data structures within one event will be extracted as what type of fields?
- A. Mvindex
- B. Multivalue
- C. Lexicographical
- D. Single value
正解：B
解説：
Repeating JSON data structures within a single event in Splunk are extracted as multivalue fields (Option C).
Multivalue fields allow a single field to contain multiple distinct values, which is common with JSON data structures that include arrays or repeated elements. Splunk's field extraction capabilities automatically recognize and parse these structures, allowing users to work with each value within the multivalue field for analysis and reporting
質問 # 29
What arguments are required when using the spath command?
- A. input, output, index
- B. field, host, source
- C. No arguments are required.
- D. input, output path
正解：D
質問 # 30
How is regex passed to the makemv command?
- A. It Is specified by the tokenizer argument.
- B. Makemv must be preceded by the rex command.
- C. makemv be preceded by the erex command.
- D. It is specified by the delim argument.
正解：D
解説：
The regex is passed to the makemv command in Splunk using the delim argument (Option B). This argument specifies the delimiter used to split a single string field into multiple values, effectively creating a multivalue field from a field that contains delimited data.
質問 # 31
What is the value of base lispy in the Search Job Inspector for the search index-sales clientip-170.192.178.10?
- A. [ AND 10 170 178 192 Index::sales ]
- B. [ index::sales 192 AND 10 AMD 178 AND 170 ]
- C. [ 192 AND 10 AND 178 AND 170 Index::sales ]
- D. [ index::sales AND 469 10 702 390 ]
正解：B
質問 # 32
What capability does a power user need to create a Log Event alert action?
- A. edit udp
- B. edit_alerts
- C. edit_tcp
- D. edit_search_server
正解：B
解説：
To create a Log Event alert action in Splunk, a power user needs the edit_alerts capability (Option D). This capability allows the user to configure and manage alert actions, including setting up alerts to log specific events based on predefined conditions within Splunk's alerting framework.
質問 # 33
Which of the following functions' primary purpose is to convert epoch time to a string format?
- A. strptime
- B. tonumber
- C. strftime
- D. tostring
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 # 34
Which statement about tsidx files is accurate?
- A. Splunk updates tsidx files every 30 minutes.
- B. A tsidx file consists of a lexicon and a posting list.
- C. Splunk removes outdated tsidx files every 5 minutes.
- D. Each bucket in each index may contain only one tsidx file.
正解：B
解説：
A tsidx file in Splunk is an index file that contains indexed data, and it consists of two main parts: alexicon and a posting list (Option C). The lexicon is a list of unique terms found in the data, and the posting list is a list of references to the occurrences of these terms in the indexed data. This structure allows Splunk to efficiently search and retrieve data based on search terms.
質問 # 35
How is a muitlvalue Add treated from product-"a, b, c, d"?
- A. . . . | mvexpand product
- B. . . . | eval mvexpand{makemv{product, ","})
- C. . . . | makemv delim{product, ","}
- D. . . . | makemv delim="," product
正解：D
解説：
To treat a multivalue field product="a, b, c, d" in Splunk, the correct command is ...| makemv delim="," product (Option D).The makemv command with the delim argument specifies the delimiter (in this case, a comma) to split the field values into a multivalue field. This allows for easier manipulation and analysis of each value within the product field as separate entities.
質問 # 36
Why is the transaction command slow in large splunk deployments?
- A. transaction runs a hidden eval to format fields.
- B. It forces the search to run in fast mode.
- C. It forces all event data to be returned to the search head.
- D. transaction or runs on each Indexer in parallel.
正解：C
解説：
The transaction command can be slow in large Splunk deployments because it requires all event data relevant to the transaction to be returned to the search head (Option C). This process can be resource-intensive, especially for transactions that span a large volume of data or time, as it involves aggregating and sorting events across potentially many indexers before the transaction logic can be applied.
質問 # 37
When possible, what is the best choice for summarizing data to improve search performance?
- A. Us the fieldsummary command.
- B. Report acceleration
- C. Data model acceleration
- D. Summary indexing
正解：D
質問 # 38
Which field Is requited for an event annotation?
- A. _time
- B. eventype
- C. annotation_category
- D. annotation_label
正解：A
解説：
For an event annotation in Splunk, the required field is time (Option B). The time field specifies the point or range in time that the annotation should be applied to in timeline visualizations, making it essential for correlating the annotation with the correct temporal context within the data.
質問 # 39
What command is used la compute find write summary statistic, to a new field in the event results?
- A. transaction
- B. eventstats
- C. stats
- D. tstats
正解：B
解説：
The eventstats command in Splunk is used to compute and add summary statistics to all events in the search results, similar to the stats command, but without grouping the results into a single event(Option C). This command adds the computed summary statistics as new fields to each event, allowing those fields to be used in subsequent search operations or for display purposes. Unlike the transaction command, which groups events into transactions, eventstats retains individual events while enriching them with statistical information.
質問 # 40
What is one way to troubleshoot dashboards?
- A. Delete the dashboard and start over.
- B. Run the | previous_searches command to troubleshoot your SPL queries.
- C. Go to the Troubleshooting dashboard of me Searching and Reporting app.
- D. Create an HTML panel using tokens to verify that they are being set.
正解：C
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 # 41
What is an example of the simple XML syntax for a base search and its post-srooess search?
- A. <panel id="myBaseSearch">, <panel base="myBaseSearch">
- B. <search id="myGlobalSearch">, <search base="myBaseSearch">
- C. <search globalsearch="myBaseSearch">, <search globalsearch>
- D. <search id="myBaseSearch">, <search base="myBaseSearch">
正解：D
質問 # 42
What is the recommended way to create a field extraction that is both persistent and precise?
- A. Use the Field Extractor and let it automatically generate a regular expression.
- B. Use the Field Extractor and manually edit the generated regular expression.
- C. Use the rex command.
- D. Use the erex command.
正解：B
質問 # 43
What are the four types of event actions?
- A. stats, target, set, and unset
- B. stats, target, change, and clear
- C. eval, link, set, and unset
- D. eval, link, change, and clear
正解：D
解説：
The four types of event actions in Splunk are eval, link, change, and clear (Option C). These actions can be used in dashboard panel configurations to dynamically interact with or manipulate event data based on user inputs or other criteria. Eval is used for calculating fields, link for creating hyperlinks, change for modifying field values, and clear for removing field values or other data elements.
質問 # 44
What file types does Splunk use to define geospatial lookups?
- A. GPX or GML files
- B. TXT files
- C. KMZ or KML files
- D. CSV files
正解：C
解説：
For defining geospatial lookups, Splunk uses KMZ or KML files (Option C). KML (Keyhole Markup Language) is an XML notation for expressing geographic annotation and visualization within Internet-based maps and Earth browsers like Google Earth. KMZ is a compressed version of KML files. These file types allow Splunk to map data points to geographic locations, enabling the creation of geospatial visualizations and analyses. GPX or GML files (Option A), TXT files (Option B), and CSV files (Option D) are not specifically used for geospatial lookups in Splunk, although CSV files are commonly used for other types of lookups.
質問 # 45
What is the correct hierarchy of XML elements in a dashboard panel?
- A. <dashboard><row><panel>
- B. <panel><row><dashboard>
- C. <dashboard><panel><row>
- D. <panel><dashboard><row>
正解：A
解説：
In a Splunk dashboard, the correct hierarchy of XML elements for a dashboard panel is
<dashboard><row><panel> (Option B). A Splunk dashboard is defined within the <dashboard> element.
Within this, <row> elements are used to organize the layout into rows, and each <panel> element within a row defines an individual panel that can contain visualizations, searches, or other content. This hierarchical structure allows for organized and customizable layouts of dashboard elements, facilitating clear presentation of data and analyses. The other options provided do not represent the correct hierarchical order for defining dashboard panels in Splunk's XML dashboard syntax.
質問 # 46
Which of the following has a schema or structure embedded in the data itself?
- A. Self-describing data
- B. Dark data
- C. Embedded data
- D. Unstructured data
正解：A
解説：
Self-describing data (Option D) refers to data that includes information about its own structure or schema within the data itself. This characteristic makes it easier to understand and process the data because the structure and meaning of the data are embedded with the data, reducing the need for external definitions or mappings. Examples of self-describing data formats include JSON and XML, where elements and attributes describe the data they contain.
質問 # 47
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SPLK-1004認定試験の準備をするには、候補者はSplunk Coreの概念に強力な基盤を持ち、大量のデータを快適に操作する必要があります。 Splunk Coreの習熟度に加えて、試験対象者は、Splunkのデータモデリング、高度な検索、視覚化の経験も持つ必要があります。 SPLK-1004試験は、検索とレポート、ダッシュボードと視覚化の作成、データモデルの使用、知識オブジェクトの管理など、さまざまな分野で候補者の知識とスキルをテストする監督済みのタイミング試験です。この試験に合格することは、専門知識を実証し、現場でのキャリアを促進したいSplunk Professionalにとって貴重な資格です。
この試験では、高度な検索およびレポート手法、データ変換と操作、データの視覚化、ダッシュボードの作成など、さまざまなトピックをカバーしています。また、Splunkのデータモデル、ピボットテーブル、マクロに関連する質問も含まれています。この試験は、Splunkを使用して複雑なビジネス上の問題を解決し、大量のデータから貴重な洞察を抽出する候補者の能力を評価するように設計されています。
SPLK-1004試験問題有効なSPLK-1004問題集PDF：https://jp.fast2test.com/SPLK-1004-premium-file.html
SPLK-1004練習テスト問題解答には更新された72問があります：https://drive.google.com/open?id=17IZOqBbA5U7roQTknO4rods6AG9A3ZHZ