SPLK-1002試験問題を今すぐ試そう！最新の[2024年最新] 正解回答付き [Q11-Q34] | PassTest (2025)

SPLK-1002試験問題を今すぐ試そう！最新の[2024年最新] 正解回答付き

練習できるSPLK-1002には認定ガイド問題と解答とトレーニングを提供しています

SPLK-1002認定試験では、検索、レポート、高度なダッシュボードの作成、Splunk Rest APIの使用など、Splunkソフトウェアに関連する幅広いトピックをカバーしています。この試験は、候補者の能力をテストして、複雑な検索を実行し、最適化されたレポートを作成し、Splunkの高度な機能を使用して展開をトラブルシューティングと最適化を行うように設計されています。

質問 # 11
Select this in the fields sidebar to automatically pipe you search results to the rare command

• A. events with this field
• B. rare values
• C. top values
• D. top values by time

正解：B

解説：
Explanation
The fields sidebar is a panel that shows the fields that are present in your search results2. The fields sidebar has two sections: selected fields and interesting fields2. Selected fields are fields that you choose to display in your search results by clicking on them in the fields sidebar or by using the fields command2. Interesting fields are fields that appear in at least 20 percent of events or have high variability among values2. For each field in the fields sidebar, you can select one of the following options: events with this field, rare values, top values by time or top values2. If you select rare values, Splunk will automatically pipe your search results to the rare command, which shows the least common values of a field2. Therefore, option B is correct, while options A, C and D are incorrect because they do not pipe your search results to the rare command.

質問 # 12
What functionality does the Splunk Common Information Model (CIM) rely on to normalize fields with different names?

• A. Field aliases.
• B. CIM does not work with different names for the same field.
• C. The rename command.
• D. Macros.

正解：A

解説：
Explanation
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 # 13
Which of the following statements describes POST workflow actions?

• A. POST workflow actions can be configured to send email to the URI location.
• B. Configuration of a POST workflow action includes choosing a sourcetype.
• C. By default, POST workflow action are shown in both the event and field menus.
• D. POST workflow actions can be configured to send POST arguments to the URI location.

正解：D

解説：
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/SetupaPOSTworkflowaction

質問 # 14
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 given a friendly name for use in Pivot.
• B. Auto-Extracted fields can be hidden in Pivot.
• C. Auto-Extracted fields can have their data type changed.
• D. Auto-Extracted fields can be added if they already exist in the dataset with constraints.

正解：A、B、C、D

質問 # 15
Which statement is true?

• A. In most cases, each Splunk user will create their own data model.
• B. Pivot is used for creating reports and dashboards.
• C. Pivot is used for creating datasets.
• D. Data model are randomly structured datasets.

正解：B

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 # 16
A user runs the following search:
index-X sourcetype=Y I chart count (domain) as count, sum (price) as sum by product, action usenull=f
useother-f
Which of the following table headers match the order this command creates?

• A. The chart command does not allow for multiple statistical functions.
• B. Product, count: addtocart, count: remove, count: purchase, sum: addtocart, sum: remove, sum: purchase
• C. Product, sum: addtocart, sum: remove, sum: purchase, count: addtocart, count: remove, count: purchase
• D. Count: product, sum: product, count: action, sum: action

正解：B

解説：
The correct answer isC. Product, count: addtocart, count: remove, count: purchase, sum: addtocart, sum:
remove, sum: purchase1.
In Splunk, thechartcommand is used to create a table or a chart visualization from your
data2.Thechartcommand takes at least one function and one field, and optionally another field to group by2.
In the given search, thechartcommand is used with two functions (countandsum), two fields (domainandprice),
and two fields to group by (productandaction).Theusenull=fanduseother=foptions are used to exclude null
values and other values from the chart2.
Thechartcommand creates a table with headers that match the order of the fields and functions in the
command1.The headers for thecountfunction are prefixed withcount:, and the headers for thesumfunction are
prefixed withsum:1.The values of theproductandactionfields are used as the suffixes for the headers1.
Therefore, the table headers created by this command areProduct,count: addtocart,count: remove,count:
purchase,sum: addtocart,sum: remove, andsum: purchase1.

質問 # 17
When using a field value variable with a Workflow Action, which punctuation mark will escape the data

• A. !
• B. ^
• C. #
• D. *

正解：A

解説：
When using a field value variable with a Workflow Action, the exclamation mark (!) will escape the data. A Workflow Action is a custom action that performs a task when you click on a field value in your search results. A Workflow Action can be configured with various options, such as label name, base URL, URI parameters, post arguments, app context, etc. A field value variable is a placeholder for the field value that will be used to replace the variable in the URL or post argument of the Workflow Action. A field value variable is written as fieldname, where field_name is the name of the field whose value will be used. However, if the field value contains special characters that need to be escaped, such as spaces, commas, etc., you can use the exclamation mark (!) before and after the field value variable to escape the data. For example, if you have a field value variable host, you can write it as !$host! to escape any special characters in the host field value.
Therefore, option B is the correct answer.

質問 # 18
Which Knowledge Object does the Splunk Common Information Model (CIM) use to normalize data, in addition to field aliases, event types, and tags?

• A. Workflow actions
• B. Field extractions
• C. Lookups
• D. Macros

正解：B、C

解説：
Explanation/Reference: https://docs.splunk.com/Documentation/CIM/4.15.0/User/UsetheCIMtonormalizedataatsearchtime

質問 # 19
Which of the following statements is true, especially in large environments?

• A. The transaction command is faster and more efficient than the stats command.
• B. The stats command is faster and more efficient than the transaction command
• C. Use the scats command when you next to group events by two or more fields.
• D. Use the transaction command when you want to see the results of a calculation.

正解：B

解説：
Reference: https://answers.splunk.com/answers/103/transaction-vs-stats-commands.html The stats command is faster and more efficient than the transaction command, especially in large environments. The stats command is used to calculate summary statistics on the events, such as count, sum, average, etc. The stats command can group events by one or more fields or by time buckets. The stats command does not create new events from groups of events, but rather creates new fields with statistical values. The transaction command is used to group events into transactions based on some common characteristics, such as fields, time, or both. The transaction command creates new events from groups of events that share one or more fields. The transaction command also creates some additional fields for each transaction, such as duration, eventcount, startime, etc. The transaction command is slower and more resource-intensive than the stats command because it has to process more data and create more events and fields.

質問 # 20
When can a pipe follow a macro?

• A. The macro must be defined in the current app.
• B. A pipe may always follow a macro.
• C. The current user must own the macro.
• D. Only when sharing is set to global for the macro.

正解：B

質問 # 21
Which function should you use with the transaction command to set the maximum total time between the
earliest and latest events returned?

• A. maxspan
• B. maxduration
• C. endswith
• D. maxpause

正解：A

質問 # 22
Which of the following eval command functions is valid?

• A. int()
• B. tostring()
• C. count()
• D. print()

正解：B

解説：
https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/CommonEvalFunctions
The eval command function tostring() is valid. The tostring() function converts a numeric value to a string
value. For example, tostring(3.14) returns "3.14". The other functions are not valid eval command functions.

質問 # 23
What is the relationship between data models and pivots?

• A. Pivots and data models are the same thing.
• B. Pivots and data models have no relationship.
• C. Data models provide the datasets for pivots.
• D. Pivots provide the datasets for data models.

正解：C

解説：
The relationship between data models and pivots is that data models provide the datasets for pivots. 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. Pivots are user interfaces that allow you to create data visualizations that present different aspects of a data model. Pivots let you select options from menus and forms to create charts, tables, maps, etc., without writing any SPL code. Pivots use datasets from data models as their source of data. Pivots and data models are not the same thing, as pivots are tools for visualizing data models. Pivots do not provide datasets for data models, but rather use them as inputs.
Therefore, only statement A is true about the relationship between data models and pivots.

質問 # 24
Given the following eval statement:
...| eval fieldl - if(isnotnull(fieldl),fieldl,0), field2 = if(isnull<field2>, "NO-VALUE", fieid2) Which of the following is the equivalent using f ilinull?

• A. ... I filinull value=0 fieldl I fillnull fields
• B. ... I fillnull fieldl I filinull value="NO-VALUE" field2
• C. There is no equivalent expression using f ilinull
• D. ... t filinull values=(0,"NO-VALUE") fields=(fieldl,field2)

正解：D

解説：
The fillnull command replaces null values in one or more fields with a specified value. The values option allows you to specify a comma-separated list of values to fill the null values in the corresponding fields. The fields option allows you to specify a comma-separated list of fields to apply the fillnull command to. The eval statement in the question uses the if and isnull functions to check if field1 and field2 have null values and replace them with 0 and "NO-VALUE" respectively. The equivalent expression using fillnull is to use the values option to specify 0 and "NO-VALUE" and the fields option to specify field1 and field22
1: Splunk Core Certified Power User Track, page 9. 2: Splunk Documentation, fillnull command.

質問 # 25
When using timechart, how many fields can be listed after a byclause?

• A. 0, because timechart doesn't support using a by clause.
• B. 2, because one field would represent the x-axis and the other would represent the y-axis.
• C. 1, because _time is already implied as the x-axis.
• D. There is no limit specific to timechart.

正解：C

質問 # 26
Using the export function, you can export search results as __________.( Select all that apply)

• A. Json
• B. A php file
• C. Xml
• D. Html

正解：A、C

質問 # 27
What approach is recommended when using the Splunk Common Information Model (CIM) add-on to normalize data?

• A. Run a search using the authentication command.
• B. Consult the CIM event type reference tables.
• C. Run a search using the correlation command.
• D. Consult the CIM data model reference tables.

正解：D

解説：
The recommended approach when using the Splunk Common Information Model (CIM) add-on to normalize data is A. Consult the CIM data model reference tables. This is because the CIM data model reference tables provide detailed information about the fields and tags that are expected for each dataset in a data model. By consulting the reference tables, you can determine which data models are relevant for your data source and how to map your data fields to the CIM fields. You can also use the reference tables to validate your data and troubleshoot any issues with normalization. You can find the CIM data model reference tables in the Splunk documentation1 or in the Data Model Editor page in Splunk Web2. The other options are incorrect because they are not related to the CIM add-on or data normalization. The authentication command is a custom command that validates events against the Authentication data model, but it does not help you to normalize other types of data. The correlation command is a search command that performs statistical analysis on event fields, but it does not help you to map your data fields to the CIM fields. The CIM event type reference tables do not exist, as event types are not part of the CIM add-on.

質問 # 28
Which of the following is true about data model attributes?

• A. They cannot be edited if inherited from a parent dataset.
• B. They cannot be created within the data model.
• C. They can be added to a dataset from search time field extractions.
• D. They can only be added into a root search dataset.

正解：C

解説：
Data model attributes are fields that are added to a dataset from search time field extractions, calculated fields, lookups, or aliases. They can be created within the data model editor or inherited from a parent dataset. They can be edited or removed unless they are required by the data model. They can be added to any type of dataset, not just root search datasets.
Reference
See About data models, [Define data model attributes], and [Edit data model datasets] in the Splunk Documentation.

質問 # 29
When defining a macro, what are the required elements?

• A. Name and a validation error message.
• B. Name and arguments.
• C. Name and definition.
• D. Definition and arguments.

正解：C

解説：
When defining a search macro, the required elements are the name and the definition of the macro. The name is a unique identifier for the macro that can be used to invoke it in other searches. The definition is the search string that the macro expands to when referenced. The arguments, validation expression, and validation error message are optional elements that can be used to customize the macro behavior and input validation2
1: Splunk Core Certified Power User Track, page 9. 2: Splunk Documentation, Define search macros in Settings.

質問 # 30
What does the following search do?

• A. Creates a table with the count of all types of corndogs eaten split by user.
• B. Creates a table of the total count of users and split by corndogs.
• C. Creates a table that groups the total number of users by vegetarian corndogs.
• D. Creates a table of the total count of mysterymeat corndogs split by user.

正解：D

質問 # 31
When multiple event types with different color values are assigned to the same event, what determines the color displayed for the event?

• A. Weight
• B. Priority
• C. Precedence
• D. Rank

正解：B

解説：
Explanation/Reference: https://docs.splunk.com/Documentation/SplunkCloud/8.0.2003/Knowledge/Defineeventtypes

質問 # 32
By default, all users have DELETE permission to ALL knowledge objects.

• A. True
• B. False

正解：B

質問 # 33
What does the following search do?

• A. Creates a table with the count of all types of corndogs eaten split by user.
• B. Creates a table of the total count of users and split by corndogs.
• C. Creates a table that groups the total number of users by vegetarian corndogs.
• D. Creates a table of the total count of mysterymeat corndogs split by user.

正解：D

解説：
The search string below creates a table of the total count of mysterymeat corndogs split by user.
| stats count by user | where corndog=mysterymeat
The search string does the following:
It uses the stats command to calculate the count of events for each value of the user field. The stats
command creates a table with two columns: user and count.
It uses the where command to filter the results by the value of the corndog field. The where command
only keeps the rows where corndog equals mysterymeat.
Therefore, the search string creates a table of the total count of mysterymeat corndogs split by user.

質問 # 34
......

認定試験は、Splunk Coreを使用する際の個人のスキルを検証するように設計されています。この認定試験は、世界中の雇用主によって認識されており、Splunkの使用能力を実証することにより、専門家がキャリアの中で支援することができます。認定はまた、個人のスキルに信頼性を提供し、Splunkの使用の専門家として認識を得るのに役立ちます。

試験準備には欠かさない！トップクラスのSplunk SPLK-1002試験アプリ学習ガイド練習問題最新版：https://www.passtest.jp/Splunk/SPLK-1002-shiken.html