検証済み！SPLK-1002問題集と解答でSPLK-1002テストエンジン正確解答付き
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Splunk SPLK-1002認定試験は、個人がSplunk Coreを使用するスキルを紹介する優れた方法です。この認定試験は世界的に認識されており、Splunkを使用する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。
SPLK-1002認定試験は、60の複数選択の質問で構成されるオンラインで提示された試験です。候補者は試験を完了するのに90分かかり、合格するには70％以上を獲得する必要があります。この試験は、信頼できるインターネット接続を備えた場所からいつでも撮影でき、忙しい専門家にとって便利です。
Splunk SPLK-1002 認定試験の出題範囲：
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質問 # 89
Which of the following searches will return events containing a tag named Privileged?
- A. tag=Priv*
- B. tag=priv*
- C. tag=Priv
- D. tag=privileged
正解：A
解説：
The tag=Priv* search will return events containing a tag named Privileged, as well as any other tag that starts with Priv. The asterisk (*) is a wildcard character that matches zero or more characters. The other searches will not match the exact tag name.
質問 # 90
Which of the following is true about Pivot?
- A. Users can save reports from Pivot.
- B. Users must use SPL to find events in a Pivot.
- C. Users cannot share visualizations created with Pivot.
- D. Users cannot create visualizations with Pivot.
正解：A
解説：
In Splunk, Pivot is a tool that allows you to report on a specific data set without using the Splunk Search Processing Language (SPL™)1. You can use a drag-and-drop interface to design and generate pivots that present different aspects of your data in the form of tables, charts, and other visualizations12.
One of the features of Pivot is that it allows you to save your reports1. This can be useful when you want to reuse a report or share it with others1. Therefore, it's not true that users cannot share visualizations created with Pivot or that they must use SPL to find events in a Pivot12. It's also not true that users cannot create visualizations with Pivot, as creating visualizations is one of the main functions of Pivot12.
質問 # 91
Which of the following searches show a valid use of macro? (Select all that apply)
- A. index=main source=mySource oldField=* | eval newField='makeMyField(oldField)'| table _time newField
- B. index=main source=mySource oldField=* |'makeMyField(oldField)'| table _time newField
- C. index=main source=mySource oldField=* | stats if('makeMyField(oldField)') | table _time newField
- D. index=main source=mySource oldField=* | "'newField('makeMyField(oldField)')'" | table _time newField
正解：A、B
質問 # 92
Two separate results tables are being combined using the |join command. The outer table has the following values:
Refer to following Tables
The line of SPL used to join the tables is: | join employeeNumber type=outer How many rows are returned in the new table?
- A. Five
- B. Eight
- C. Three
- D. Zero
正解：B
解説：
When performing an outer join in Splunk using the | join employeeNumber type=outer command, it combines the rows from both tables based on the employeeNumber field. An outer join returns all rows from both tables, with matching rows from both sides where available. If there is no match, the result is NULL on the side of the join where there is no match.
In the provided tables, there are five rows in the first table and three in the second. Since it's an outer join, all rows from both tables will be returned. This means the new table will have a total of eight rows, combining the matched rows and the unmatched rows from both tables.
References:
* Splunk Documentation on the join command.
* Splunk Community discussions on the usage of join and types of joins.
質問 # 93
When using the transaction command, what does the argument maxspan do?
- A. Sets the maximum length that any single event can reach to be included in the transaction.
- B. Sets the maximum total time between the earliest and latest events in a transaction.
- C. Sets the maximum total time between events in a transaction.
- D. Sets the maximum length of all events within a transaction.
正解：B
質問 # 94
What does the following search do?
index=condlog type=mysterymeat action=eaten I scats count as cornlog_count by us:
- A. Creates a table that groups the total number of users by vegetarian corndogs.
- B. Creates a table with the count of all types of corndogs eaten split by user.
- C. Creates a table of the total count of mysterymeat corndogs split by user.
- D. Creates a table of the total count of users and split by corndogs.
正解：D
質問 # 95
What is the correct syntax to search for a tag associated with a value on a specific field?
- A. tag=<field>
- B. tag=<field>(<tagname>)
- C. tag::<field>=<tagname>
- D. tag=<field>::<tagname>
正解：C
解説：
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/ TagandaliasfieldvaluesinSplunkWeb
質問 # 96
Which of the following eval command function is valid?
- A. Tostring ()
- B. Int ()
- C. Print ()
- D. Count ( )
正解：A
解説：
The eval command supports a number of functions that you can use in your expressions to perform calculations, 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 # 97
It is mandatory for the lookup file to have this for an automatic lookup to work.
- A. At least five columns
- B. Source type
- C. Timestamp
- D. Input filed
正解：D
質問 # 98
What does the following search do?
- A. Creates a table that groups the total number of users by vegetarian corndogs.
- B. Creates a table with the count of all types of corndogs eaten split by user.
- C. Creates a table of the total count of users and split by corndogs.
- D. Creates a table of the total count of mysterymeat corndogs split by user.
正解：D
質問 # 99
Which of the following statements about event types is true? (select all that apply)
- A. Event types must include a time range,
- B. Event types can be a useful method for capturing and sharing knowledge.
- C. Event types can be tagged.
- D. Event types categorize events based on a search.
正解：B、C、D
解説：
Reference:https://www.edureka.co/blog/splunk-events-event-types-and-tags/
As mentioned before, an event type is a way to categorize events based on a search string that matches the
events2. Event types can be tagged, which means that you can apply descriptive labels to event types and use
them in your searches2. Therefore, option A is correct. Event types categorize events based on a search string,
which means that you can define an event type by specifying a search string that matches the events you want
to include in the event type2. Therefore, option C is correct. Event types can be a useful method for capturing
and sharing knowledge, which means that you can use event types to organize your data into meaningful
categories and share them with other users in your organization2. Therefore, option D is correct. Event types
do not have to include a time range, which means that you can create an event type without specifying a time
range for the events2. Therefore, option B is incorrect.
質問 # 100
How is a macro referenced in a search?
- A. By using the macroname command.
- B. By enclosing the macro name in backtick characters (').
- C. By using the macro command.
- D. By enclosing the macro name in single-quote characters (').
正解：B
解説：
The correct answer is C. By enclosing the macro name in backtick characters (`).
A macro is a way to reuse a piece of SPL code in different searches. A macro can take arguments, which are variables that can be replaced by different values when the macro is called. A macro can also contain another macro within it, which is called a nested macro1.
To reference a macro in a search, you need to enclose the macro name in backtick characters (). For example, if you have a macro named my_macro` that takes one argument, you can reference it in a search by using the following syntax:
... | my_macro(argument) | ...
This will replace the macro name and argument with the SPL code contained in the macro definition. For example, if the macro definition is:
[my_macro(argument)] search sourcetype=$argument$
And you reference it in a search with:
index=main | my_macro(web) | stats count by host
This will expand the macro and run the following SPL code:
index=main | search sourcetype=web | stats count by host
Reference:
Use search macros in searches
質問 # 101
Splunk alerts can be based on search that run______. (Select all that apply.)
- A. on a regular schedule
- B. in real-time
- C. and have no matching events
正解：A、B
解説：
Explanation
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 the search 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 every hour 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 # 102
Which field extraction method should be selected for comma-separated data?
- A. eval expression
- B. Regular expression
- C. table extraction
- D. Delimiters
正解：D
解説：
The correct answer is B. Delimiters. This is because the delimiters method is designed for structured event
data, such as data from files with headers, where all of the fields in the events are separated by a common
delimiter, such as a comma or space. You can select a sample event, identify the delimiter, and then rename
the fields that the field extractor finds.You can learn more about the delimiters method from the Splunk
documentation1. The other options are incorrect because they are not suitable for comma-separated data. The
regular expression method works best with unstructured event data, where you select and highlight one or
more fields to extract from a sample event, and the field extractor generates a regular expression that matches
similar events and extracts the fields from them. The eval expression is a command that lets you calculate new
fields or modify existing fields using arithmetic, string, and logical operations. The table extraction is a feature
that lets you extract tabular data from PDF files or web pages.You can learn more about these methods from
the Splunk documentation23.
質問 # 103
Which is not a comparison operator in Splunk
- A. >
- B. !=
- C. ?=
- D. <=
- E. =
正解：C
解説：
A comparison operator is a symbol that compares two values and returns a Boolean result (true or false)2. Splunk supports various comparison operators such as <, >, =, !=, <=, >=, IN and LIKE2. However,
?= is not a valid comparison operator in Splunk and will cause a syntax error if used in a search string2.
Therefore, option E is correct, while options A, B, C and D are incorrect because they are valid comparison operators in Splunk
質問 # 104
What is the correct syntax to search for a tag associated with a value on a specific fields?
- A. Tag::<filed>=<tagname>
- B. Tag<filed(tagname.)
- C. Tag-<field?
- D. Tag=<filed>::<tagname>
正解：A
解説：
Reference:
A tag is a descriptive label that you can apply to one or more fields or field values in your events2. You can use tags to simplify your searches by replacing long or complex field names or values with short and simple tags2. To search for a tag associated with a value on a specific field, you can use the following syntax: tag::<field>=<tagname>2. For example, tag::status=error will search for events where the status field has a tag named error. Therefore, option D is correct, while options A, B and C are incorrect because they do not follow the correct syntax for searching tags.
質問 # 105
Which of the following options will define the first event in a transaction?
- A. startingwith
- B. startswith
- C. with
- D. firstevent
正解：B
解説：
The explanation is as follows:
* The transaction command is used to find transactions based on events that meet various constraints12.
* Transactions are made up of the raw text (the _raw field) of each member, the time and date fields of the earliest member, as well as the union of all other fields of each member1.
* The startswith option is used to define the first event in a transaction by specifying a search term or an expression that matches the event13.
* For example, | transaction clientip JSESSIONID startswith="view" will create transactions based on the clientip and JSESSIONID fields, and the first event in each transaction will contain the term "view" in the _raw field2.
質問 # 106
When using the Field Extractor (FX), which of the following delimiters will work? (select all that apply)
- A. Spaces
- B. Colons
- C. Pipes
- D. Tabs
正解：A、C、D
解説：
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/FXSelectMethodstep
質問 # 107
Which of the following statements describes the use of the Field Extractor (FX)?
- A. Fields extracted using the Field Extractor persist as knowledge objects.
- B. The Field Extractor automatically extracts all fields at search time.
- C. Fields extracted using the Field Extractor do not persist and must be defined for each search.
- D. The Field Extractor uses PERL to extract fields from the raw events.
正解：C
質問 # 108
When multiple event types with different color values are assigned to the same event, what determines the color displayed for the events?
- A. Priority
- B. Rank
- C. Weight
- D. Precedence
正解：A
解説：
Reference: https://docs.splunk.com/Documentation/SplunkCloud/8.0.2003/Knowledge/Defineeventtypes When multiple event types with different color values are assigned to the same event, the color displayed for the events is determined by the priority of the event types. The priority is a numerical value that indicates how important an event type is. The higher the priority, the more important the event type. The event type with the highest priority will determine the color of the event.
質問 # 109
If there are fields in the data with values that are " " or empty but not null, which of the following would add a value?
- A. | eval notNULL = "" fillnull value=0 notNULL
- B. | eval notNULL = if(isnull (notNULL), "0"
- C. | eval notNULL = if(isnull (notNULL), "0" notNULL)
- D. | eval notNULL = "" | nullfill value=0 notNULL
正解：A
解説：
The correct answer is D. | eval notNULL = "" fillnull value=0 notNULL
Option A is incorrect because it is missing a comma between the "0" and the notNULL in the if function. The correct syntax for the if function is if (condition, true_value, false_value).
Option B is incorrect because it is missing the false_value argument in the if function. The correct syntax for the if function is if (condition, true_value, false_value).
Option C is incorrect because it uses the nullfill command, which only replaces null values, not empty strings. The nullfill command is equivalent to fillnull value=null.
Option D is correct because it uses the eval command to assign an empty string to the notNULL field, and then uses the fillnull command to replace the empty string with a zero. The fillnull command can replace any value with a specified replacement, not just null values.
質問 # 110
The timechart command is an example of which of the following command types?
- A. Generating
- B. Statistical
- C. Transforming
- D. Orchestrating
正解：C
解説：
The correct answer is B. Transforming.
The explanation is as follows:
* The timechart command is a Splunk command that creates a time series chart with corresponding table of statistics12.
* A timechart is a statistical aggregation applied to a field to produce a chart, with time used as the X-axis1. You can specify a split-by field, where each distinct value of the split-by field becomes a series in the chart1.
* Transforming commands are commands that change the format of the search results into a data structure that can be easily visualized3. Transforming commands often use stats functions to aggregate and summarize data3.
* Therefore, the timechart command is an example of a transforming command, as it transforms the search
* results into a chart and a table using stats functions123.
質問 # 111
How many ways are there to access the Field Extractor Utility?
- A. 0
- B. 1
- C. 2
- D. 3
正解：D
質問 # 112
What does the following search do?
- A. Creates a table that groups the total number of users by vegetarian corndogs.
- B. Creates a table with the count of all types of corndogs eaten split by user.
- C. Creates a table of the total count of users and split by corndogs.
- D. Creates a table of the total count of mysterymeat corndogs split by user.
正解：D
質問 # 113
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