最新 [2025年02月22日]SPLK-1002試験正確解答Splunk Core Certified Power User ExamのPDF問題
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SPLK-1002試験は、検索プロセス、ルックアップの作成と使用、ビジュアライゼーションとレポートの作成、アラートの設定などのトピックをカバーしています。この試験に合格した個人は、Splunkを効果的に使用してデータを分析および視覚化する方法、および組織の運用効率を高めるためにアラートとレポートを設定する方法について深い理解を持っています。 SPLK-1002認定は、ビッグデータや分析の分野でキャリアを進めたいITプロフェッショナルにとって貴重な資格です。
SPLK-1002試験は、世界中のどこからでも撮影できるオンライン監督試験です。試験は65の複数選択の質問で構成されており、90分以内に完了する必要があります。試験の合格スコアは70％です。この試験は、英語、日本、中国語、韓国語、スペイン語を含む複数の言語で利用できます。試験が正常に完了すると、デジタルバッジと、潜在的な雇用主にスキルと知識を示すために使用できる証明書が届きます。
質問 # 67
Which of the following statements describes POST workflow actions?
- A. POST workflow actions can be configured to send email to the URI location.
- B. POST workflow actions can be configured to send POST arguments to the URI location.
- C. By default, POST workflow action are shown in both the event and field menus.
- D. Configuration of a POST workflow action includes choosing a sourcetype.
正解：B
解説：
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/SetupaPOSTworkflowaction
質問 # 68
What functionality does the Splunk Common Information Model (CIM) rely on to normalize fields with different names?
- A. Macros.
- B. Field aliases.
- C. CIM does not work with different names for the same field.
- D. The rename command.
正解：B
解説：
The Splunk Common Information Model (CIM) add-on helps you normalize your data from different sources and make it easier to analyze and report on it3. One of the functionalities that the CIM add-on relies on to normalize fields with different names is field aliases3. Field aliases allow you to assign an alternative name to an existing field without changing the original field name or value2. By using field aliases, you can map different field names from different sources or sourcetypes to a common field name that conforms to the CIM standard3. Therefore, option B is correct, while options A, C and D are incorrect.
質問 # 69
In the following eval statement, what is the value of description if the status is 503? index=main | eval
description=case(status==200, "OK", status==404, "Not found", status==500, "Internal Server Error")
- A. The description field would contain no value.
- B. The description field would contain the value "Internal Server Error".
- C. This statement would produce an error in Splunk because it is incomplete.
- D. The description field would contain the value 0.
正解：A
解説：
https://docs.splunk.com/Documentation/Splunk/8.1.1/SearchReference/ConditionalFunctions
質問 # 70
Splunk alerts can be based on search that run______. (Select all that apply.)
- A. and have no matching events
- B. on a regular schedule
- C. in real-time
正解：B、C
解説：
Splunk alerts can be based on searches that run in real-time or on a regular schedule3. An alert is a way to
monitor your data and get notified when certain conditions are met3. You can create an alert by specifying a
search and a triggering condition3. You can also specify how often you want to run thesearch and how you
want to receive the alert notifications3. You can run the alert search in real-time, which means that it
continuously monitors your data as it streams into Splunk3. Alternatively, you can run the alert search on a
regular schedule, which means that it runs at fixed intervals such as everyhour or every day3. Therefore,
options A and B are correct, while option C is incorrect because it is not a way to run an alert search.
質問 # 71
Which command can include both an over and a by clause to divide results into sub-groupings?
- A. xyseries
- B. transaction
- C. stats
- D. chart
正解：D
質問 # 72
What are search macros?
- A. Categories of search results.
- B. A method to normalize fields.
- C. Lookup definitions in lookup tables.
- D. Reusable pieces of search processing language.
正解：D
解説：
Explanation
The correct answer is B. Reusable pieces of search processing language.
The explanation is as follows:
Search macros are knowledge objects that allow you to insert chunks of SPL into other searches12.
Search macros can be any part of a search, such as an eval statement or a search term, and do not need to be a complete command12.
You can also specify whether the macro field takes any arguments and define validation expressions for them12.
Search macros can help you make your SPL searches shorter and easier to understand3.
To use a search macro in a search string, you need to put a backtick character () before and after the macro name[^1^][1]. For example, mymacro`.
質問 # 73
Which statement is true?
- A. Pivot is used for creating reports and dashboards.
- B. Data model are randomly structured datasets.
- C. In most cases, each Splunk user will create their own data model.
- D. Pivot is used for creating datasets.
正解：A
解説：
Reference:
Pivot is used for creating reports and dashboards. Pivot is a tool that allows you to create reports and dashboards from your data models without writing any SPL commands. Pivot can help you visualize and analyze your data using various options, such as filters, rows, columns, cells, charts, tables, maps, etc. Pivot can also help you accelerate your reports and dashboards by using summary data from your accelerated data models.
Pivot is not used for creating datasets or data models. Datasets are collections of events that represent your data in a structured and hierarchical way. Data models are predefined datasets for various domains, such as network traffic, web activity, authentication, etc. Datasets and data models can be created by using commands such as datamodel or pivot.
質問 # 74
There are several ways to access the field extractor. Which option automatically identifies data type, source
type, and sample event?
- A. Settings > Field Extractions > New Field Extraction
- B. Settings > Field Extractions > Open Field Extraction
- C. Event Actions > Extract Fields
- D. Fields sidebar > Extract New Field
正解：D
解説：
There are several ways to access the field extractor. The option that automatically identifies data type, source
type, and sample event is Fields sidebar > Extract New Field. The field extractor is a tool that helps you
extract fields from your data using delimiters or regular expressions. The field extractor can generate a regex
for you based on your selection of sample values or you can enter your own regex in the field extractor. The
field extractor can be accessed by using various methods, such as:
Fields sidebar > Extract New Field: This is the easiest way to access the field extractor. The fields
sidebar is a panel that shows all available fields for your data and their values. When you click on
Extract New Field in the fields sidebar, Splunk will automaticallyidentify the data type, source type, and
sample event for your data based on your current search criteria. You can then use the field extractor to
select sample values and generate a regex for your new field.
Event Actions > Extract Fields: This is another way to access the field extractor. Event actions are
actions that you can perform on individual events in your search results, such as viewing event details,
adding to report, adding to dashboard, etc. When you click on Extract Fields in the event actions menu,
Splunk will use the current event as the sample event for your data and ask you to select the source type
and data type for your data. You can then use the field extractor to select sample values and generate a
regex for your new field.
Settings > Field Extractions > New Field Extraction: This is a more advanced way to access the field
extractor. Settings is a menu that allows you to configure various aspects of Splunk, such as indexes,
inputs, outputs, users, roles, apps, etc. When you click on New Field Extraction in the Settings menu,
Splunk will ask you to enter all the details for your new field extraction manually, such as app context,
name, source type, data type, sample event, regex, etc. You can then use the field extractor to verify or
modify your regex for your new field.
質問 # 75
Which of the following transforming commands can be used with transactions?
- A. chart, timechart, stats, eventstats
- B. chart, timeehart, datamodel, pivot
- C. chart, timecha:t, stats, pivot
- D. chart, timechart, stats, diff
正解：A
解説：
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 # 76
Which method in the Field Extractor would extract the port number from the following event? |
10/20/2022 - 125.24.20.1 ++++ port 54 - user: admin <web error>
- A. Delimiter
- B. Regular expression
- C. rex command
- D. The Field Extractor tool cannot extract regular expressions.
正解：C
解説：
The rex command allows you to extract fields from events using regular expressions. You can use the rex command to specify a named group that matches the port number in the event. For example:
rex "\+\+\+\+port (?<port>\d+)"
This will create a field called port with the value 54 for the event.
The delimiter method is not suitable for this event because there is no consistent delimiter between the fields.
The regular expression method is not a valid option for the Field Extractor tool. The Field Extractor tool can extract regular expressions, but it is not a method by itself.
Reference: 1 Splunk Core Certified Power User | Splunk
質問 # 77
Using the export function, you can export search results as __________.( Select all that apply)
- A. A php file
- B. Json
- C. Xml
- D. Html
正解：B、C
質問 # 78
Consider the the following search run over a time range of last 7 days:
index=web sourcetype=access_conbined | timechart avg(bytes) by product_nane
Which option is used to change the default time span so that results are grouped into 12 hour intervals?
- A. timespan=12
- B. span=12h
- C. timespan=12h
- D. span=12
正解：B
解説：
The span option is used to specify the time span for the timechart command. The span value can be a number
followed by a time unit, such as h for hour, d for day, w for week, etc. The span value determines how the data
is grouped into time buckets. For example, span=12h means that the data is grouped into 12-hour
intervals. The timespan option is not a valid option for the timechart command2
1: Splunk Core Certified Power User Track, page 9. 2: Splunk Documentation, timechart command.
質問 # 79
A POST workflow action will pass which types of arguments to an external website?
- A. Variables only.
- B. It can only send raw event data.
- C. Clear text only.
- D. A mix of clear text strings and variables.
正解：D
解説：
A POST workflow action in Splunk is designed to send data to an external web service by using HTTP POST requests. This type of workflow action can pass a combination of clear text strings and variables derived from the search results or event data. The clear text strings might include static text or predefined values, while the variables are dynamic elements that represent specific fields or values extracted from the Splunk events. This flexibility allows for constructing detailed and context-specific requests to external systems, enabling various integration and automation scenarios. The POST request can include both types of data, making it versatile for different use cases.
質問 # 80
Which of these stats commands will show the total bytes for each unique combination of page and server?
- A. index=web | stats sum (bytes) BY page BY server
- B. index=web | stats sum(bytes) BY values (page) values (server)
- C. index=web | stats sum (bytes) BY page server
- D. index=web | stats sum(bytes) BY page AND server
正解：C
解説：
The correct command to show the total bytes for each unique combination of page and server is index=web | stats sum (bytes) BY page server. In Splunk, the stats command is used to calculate aggregate statistics over the dataset, such as count, sum, avg, etc. When using the BY clause, it groups the results by the specified fields. The correct syntax does not include commas or the word 'AND' between the field names. Instead, it simply lists the field names separated by spaces within the BY clause.
References:The usage of the stats command with the BY clause is confirmed by examples in the Splunk Community, where it's explained that stats with a by foo bar will output one row for every unique combination of the by fields1.
質問 # 81
When you mouse over and click to add a search term this (thesE. Boolean operator(s) is(arE. not implied.
(Select all that apply).
- A. ( )
- B. OR
- C. AND
- D. NOT
正解：A、B、D
解説：
When you mouse over and click to add a search term from the Fields sidebar or from an event in your search results, Splunk automatically adds the term to your search string with an implied AND operator2. However, this does not apply to some Boolean operators such as OR, NOT and parentheses (). These operators are not implied when you add a search term and you have to type them manually if you want to use them in your search string2. Therefore, options A, B and D are correct, while option C is incorrect because AND is implied when you add a search term.
質問 # 82
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SPLK-1002試験は、65の多肢選択問題と多重反応問題から構成された2時間の試験です。試験は、検索およびレポートコマンド、フィールドの作成と使用、ダッシュボードと可視化の作成、およびSplunkでのナレッジオブジェクトの管理など、幅広いトピックをカバーしています。試験は、高度な検索技術の使用、アラートの作成と管理、およびSplunkでのデータモデルの操作など、より高度なトピックもカバーしています。
正真正銘のベスト資料はSPLK-1002オンライン練習試験：https://jp.fast2test.com/SPLK-1002-premium-file.html
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