Splunk Core Certified Power User SPLK-1002最新問題集で2024年12月29日
2024年最新の問題をマスター！Splunk Core Certified Power User合格目指そう！SPLK-1002リアル試験問題集！
Splunk Coreは、機械で生成されたデータから洞察と価値を抽出するために、組織によって広く使用されています。 SPLK-1002認定試験は、Splunk Coreの個人の理解と、それを効果的に使用する能力の証です。この認定は、雇用市場の競争力を提供し、Splunk Coreにおける個人の専門知識を検証します。さらに、個人がデータ分析とセキュリティの分野でキャリアを前進させるパスを提供します。
Splunk SPLK-1002認定試験は、Splunk Coreを使用して高度な検索とレポートを実行する専門家の知識とスキルをテストするように設計されています。この認定は、Splunk Coreを深く理解し、複雑な検索を実行し、高度なレポートとダッシュボードを作成し、Splunk環境で問題をトラブルシューティングすることができる個人を対象としています。この試験は、Splunkの検索処理言語（SPL）を使用して、機械データから洞察と価値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。
質問 # 143
Information needed to create a GET workflow action includes which of the following? (select all that apply.)
- A. A URI where the user will be directed at search time.
- B. A name of the workflow action
- C. A label that will appear in the Event Action menu at search time.
- D. A name for the URI where the user will be directed at search time.
正解：A、B、C
解説：
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/SetupaGETworkflowaction Information needed to create a GET workflow action includes the following: a name of the workflow action, a URI where the user will be directed at search time, and a label that will appear in the Event Action menu at search time. A GET workflow action is a type of workflow action that performs a GET request when you click on a field value in your search results. A GET workflow action can be configured with various options, such as:
A name of the workflow action: This is a unique identifier for the workflow action that is used internally by Splunk. The name should be descriptive and meaningful for the purpose of the workflow action.
A
URI where the user will be directed at search time: This is the base URL of the external web service or application that will receive the GET request. The URI can include field value variables that will be replaced by the actual field values at search time. For example, if you have a field value variable ip, you can write it as
http://example.com/ip=$ip to send the IP address as a parameter to the external web service or application.
A label that will appear in the Event Action menu at search time: This is the display name of the workflow action that will be shown in the Event Action menu when you click on a field value in your search results.
The label should be clear and concise for the user to understand what the workflow action does.
Therefore, options A, B, and C are correct.
質問 # 144
How does a user display a chart in stack mode?
- A. By turning on the Use Trellis Layout option.
- B. You cannot display a chart in stack mode, only a timechart.
- C. By changing Stack Mode in the Format menu.
- D. By using the stackcommand.
正解：D
質問 # 145
Information needed to create a GET workflow action includes which of the following? (Choose all that apply.)
- A. A URI where the user will be directed at search time.
- B. A name for the workflow action.
- C. A label that will appear in the Event Action menu at search time.
- D. A name for the URI where the user will be directed at search time.
正解：A、C
解説：
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/SetupaGETworkflowaction
質問 # 146
Which workflow uses field values to perform a secondary search?
- A. Search
- B. Action
- C. POST
- D. Sub-search
正解：A
解説：
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/CreateworkflowactionsinSplunkWeb
質問 # 147
When used with the timechart command, which value of the limit argument returns all values?
- A. limit=*
- B. limit=all
- C. limit=0
- D. limit=none
正解：C
解説：
The correct answer is D. limit=0. This is because the limit argument specifies the maximum number of series to display in the chart. If you set limit=0, no series filtering occurs and all values are returned. You can learn more about the limit argument and how it works with the agg argument from the Splunk documentation1. The other options are incorrect because they are not valid values for the limit argument. The limit argument expects an integer value, not a string or a wildcard. You can learn more about the syntax and usage of the timechart command from the Splunk documentation23.
質問 # 148
Which of the following Statements about macros is true? (select all that apply)
- A. Argument values are used to resolve the search string at execution time.
- B. Arguments are defined at execution time.
- C. Argument values are used to resolve the search string when the macro is created.
- D. Arguments are defined when the macro is created.
正解：C、D
質問 # 149
Which delimiters can the Field Extractor (FX) detect? (select all that apply)
- A. Pipes
- B. Commas
- C. Spaces
- D. Tabs
正解：A、B、C
質問 # 150
Which of the following eval command function is valid?
- A. Count ( )
- B. Print ()
- C. Int ()
- D. Tostring ()
正解：D
解説：
The eval command supports a number of functions that you can use in your expressions to
performcalculations, conversions, string manipulations and more2. One of the eval command functions is
tostring(), which converts a numeric value to a string value2. Therefore, option D is correct, while options A,
B and C are incorrect because they are not valid eval command functions.
質問 # 151
Which of the following transforming commands can be used with transactions?
- A. chart, timecha:t, stats, pivot
- B. chart, timeehart, datamodel, pivot
- C. chart, timechart, stats, eventstats
- D. chart, timechart, stats, diff
正解：C
解説：
Explanation
The correct answer is A. chart, timechart, stats, eventstats.
Transforming commands are commands that change the format of the search results into a table or a chart.
They can be used to perform statistical calculations, create visualizations, or manipulate data in various ways1.
Transactions are groups of events that share some common values and are related in some way. Transactions can be defined by using the transaction command or by creating a transaction type in the transactiontypes.conf file2.
Some transforming commands can be used with transactions to create tables or charts based on the transaction fields. These commands include:
chart: This command creates a table or a chart that shows the relationship between two or more fields. It can be used to aggregate values, count occurrences, or calculate statistics3.
timechart: This command creates a table or a chart that shows how a field changes over time. It can be used to plot trends, patterns, or outliers4.
stats: This command calculates summary statistics on the fields in the search results, such as count, sum, average, etc. It can be used to group and aggregate data by one or more fields5.
eventstats: This command calculates summary statistics on the fields in the search results, similar to stats, but it also adds the results to each event as new fields. It can be used to compare events with the overall statistics.
These commands can be applied to transactions by using the transaction fields as arguments. For example, if you have a transaction type named "login" that groups events based on the user field and has fields such as duration and eventcount, you can use the following commands with transactions:
| chart count by user : This command creates a table or a chart that shows how many transactions each user has.
| timechart span=1h avg(duration) by user : This command creates a table or a chart that shows the average duration of transactions for each user per hour.
| stats sum(eventcount) as total_events by user : This command creates a table that shows the total number of events for each user across all transactions.
| eventstats avg(duration) as avg_duration : This command adds a new field named avg_duration to each transaction that shows the average duration of all transactions.
The other options are not valid because they include commands that are not transforming commands or cannot be used with transactions. These commands are:
diff: This command compares two search results and shows the differences between them. It is not a transforming command and it does not work with transactions.
datamodel: This command retrieves data from a data model, which is a way to organize and categorize data in Splunk. It is not a transforming command and it does not work with transactions.
pivot: This command creates a pivot report, which is a way to analyze data from a data model using a graphical interface. It is not a transforming command and it does not work with transactions.
References:
About transforming commands
About transactions
chart command overview
timechart command overview
stats command overview
[eventstats command overview]
[diff command overview]
[datamodel command overview]
[pivot command overview]
質問 # 152
Based on the macro definition shown below, what is the correct way to execute the macro in a search string?
- A. Convert_sales (euro, €, .79)
- B. Convert_sales ($euro,$€$,s79$
- C. Convert_sales (euro, €, 79)"
- D. Convert_sales ($euro, $€$,S,79$)
正解：A
解説：
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Usesearchmacros
The correct way to execute the macro in a search string is to use the format macro_name($arg1$, $arg2$,
...) where $arg1$, $arg2$, etc. are the arguments for the macro. In this case, the macro name
is convert_sales and it takes three arguments: currency, symbol, and rate. The arguments are enclosed in dollar
signs and separated by commas. Therefore, the correct way to execute the macro is convert_sales($euro$, $€$,
.79).
質問 # 153
Field aliases are used to __________ data
- A. normalize
- B. clean
- C. calculate
- D. transform
正解：A
質問 # 154
Which search string would only return results for an event type called success ful_purchases?
- A. successful_purchases
- B. Event Type:: successful purchases
- C. tag=success ful_purchases
- D. event type-success ful_purchases
正解：A
解説：
Explanation
This is because event types are added to events as a field named eventtype, and you can use this field as a search term to find events that match a specific event type. For example, eventtype=successful_purchases returns all events that have been categorized as successful purchases by the event type definition. The other options are incorrect because they either use a different field name (tag), a different syntax (Event Type:: or event type-), or have a typo (success ful_purchases). You can learn more about how to use event types in searches from the Splunk documentation1.
質問 # 155
Which of the following statements describe the Common Information Model (CIM)? (select all that apply)
- A. CIM is an app that can coexist with other apps on a single Splunk deployment.
- B. The Knowledge Manager uses the CIM to create knowledge objects.
- C. CIM is a methodology for normalizing data.
- D. CIM can correlate data from different sources.
正解：B、C、D
質問 # 156
For choropleth maps,splunk ships with the following KMZ files (select all that apply)
- A. Countries of the World
- B. Countries of the European Union
- C. States of the United States
- D. States and provinces of the united states and Canada
正解：A、C
解説：
Splunk ships with the following KMZ files for choropleth maps: States of the United States and Countries of the World. A KMZ file is a compressed file that contains a KML file and other resources. A KML file is an XML file that defines geographic features and their properties. AKMZ file can be used to create choropleth maps in Splunk by using the geom command. A choropleth map is a type of map that shows geographic regions with different colors based on some metric. Splunk ships with two KMZ files that define the geographic regions for choropleth maps:
* States of the United States: This KMZ file defines the 50 states of the United States and their boundaries. The name of this KMZ file is us_states.kmz and it is located in the $SPLUNK_HOME/etc
/apps/maps/appserver/static/geo directory.
* Countries of the World: This KMZ file defines the countries of the world and their boundaries. The name of this KMZ file is world_countries.kmz and it is located in the $SPLUNK_HOME/etc/apps/maps
/appserver/static/geo directory.
Splunk does not ship with KMZ files for States and provinces of the United States and Canada or Countries of the European Union. However, you can create your own KMZ files or download them from external sources and use them in Splunk.
質問 # 157
36. Lookups can be private for a user.
- A. False
- B. True
正解：B
質問 # 158
Which command is used to create choropleth maps?
- A. cluster
- B. geostats
- C. geom
正解：C
質問 # 159
Data model fields can be added using the Auto-Extracted method. Which of the following statements describe Auto-Extracted fields? (select all that apply)
- A. Auto-Extracted fields can be hidden in Pivot.
- B. Auto-Extracted fields can have their data type changed.
- C. Auto-Extracted fields can be added if they already exist in the dataset with constraints.
- D. Auto-Extracted fields can be given a friendly name for use in Pivot.
正解：A、B、C、D
解説：
Explanation
Data model fields are fields that describe the attributes of a dataset in a data model2. Data model fields can be added using various methods such as Auto-Extracted, Evaluated or Lookup2. Auto-Extracted fields are fields that are automatically extracted from your raw data using various techniques such as regular expressions, delimiters or key-value pairs2. Auto-Extracted fields can be hidden in Pivot, which means that you can choose whether to display them or not in the Pivot interface2. Therefore, option A is correct. Auto-Extracted fields can have their data type changed, which means that you can specify whether they are strings, numbers, booleans or timestamps2. Therefore, option B is correct. Auto-Extracted fields can be given a friendly name for use in Pivot, which means that you can assign an alternative name to them that is more descriptive or user-friendly than the original field name2. Therefore, option C is correct. Auto-Extracted fields can be added if they already exist in the dataset with constraints, which means that you can include them in your data model even if they are already extracted from your raw data by applying filters or constraints to limit the scope of your dataset2. Therefore, option D is correct.
質問 # 160
What is the correct syntax to search for a tag associated with a value on a specific fiedsd?
- A. Tag-<field?
- B. Tag=<filed>::<tagname>
- C. Tag::<filed>=<tagname>
- D. Tag<filed(tagname.)
正解：C
質問 # 161
Which one of the following statements about the searchcommand is true?
- A. It treats field values in a case-sensitive manner.
- B. It does not allow the use of wildcards.
- C. It behaves exactly like search strings before the first pipe.
- D. It can only be used at the beginning of the search pipeline.
正解：C
解説：
Explanation/Reference: https://docs.splunk.com/Documentation/SplunkCloud/8.0.2003/Search/Usethesearchcommand
質問 # 162
Which of the following statements about data models and pivot are true? (select all that apply)
- A. They are both knowledge objects.
- B. Data models are created out of datasets called pivots.
- C. Pivot allows the creation of data visualizations that present different aspects of a data model.
- D. Pivot requires users to input SPL searches on data models.
正解：C
解説：
Data models and pivot are both knowledge objects in Splunk that allow you to analyze and visualize your data in different ways. Data models are collections of datasets that represent your data in a structured and hierarchical way. Data models define how your data is organized into objects and fields. Pivot is a user interface that allows you to create data visualizations that present different aspects of a data model. Pivot does not require users to input SPL searches on data models, but rather lets them select options from menus and forms. Data models are not created out of datasets called pivots, but rather pivots are created from datasets in data models.
質問 # 163
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