Splunk SPLK-1002 Online Practice Questions and Exam Preparation

Splunk SPLK-1002 Online Questions & Answers

• Question 31:

  A POST workflow action will pass which types of arguments to an external website?

  A. Clear text only.
  B. A mix of clear text strings and variables.
  C. It can only send raw event data.
  D. Variables only.
  B. A mix of clear text strings and variables.

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  Explanation

  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.

• Question 32:

  Which of the following workflow actions can be executed from search results? (select all that apply)

  A. GET
  B. POST
  C. LOOKUP
  D. Search
  A. GET
  B. POST
  D. Search

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  Explanation

  As mentioned before, there are two types of workflow actions: GET and POS1. Both types of workflow actions can be executed from search results by clicking on an event field value that has a workflow action configured for it. Another type of workflow action is Search, which runs another search based on the field value. Therefore, options A, B and D are correct, while option C is incorrect because LOOKUP is not a type of workflow action.

• Question 33:

  What is the correct way to name a macro with two arguments?

  A. us_sales2
  B. us_sales(1,2)
  C. us_sale,2
  D. us_sales(2)
  D. us_sales(2)

• Question 34:

  What does the following search do?

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

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  Explanation

  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.

• Question 35:

  Which of the following is NOT a stats function:

  A. sum
  B. addtotals
  C. count
  D. avg
  B. addtotals

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  Explanation

  The stats command is used to calculate summary statistics for your search results such as count, sum, avg, min, max and more. The stats command supports various functions that you can use to perform calculations on your fields. However, addtotals is not a stats function but a separate command that adds a row or column with the total of the values in each group. Therefore, option B is correct, while options A, C and D are incorrect because they are valid stats functions.

• Question 36:

  Consider the following search: Index=web sourcetype=access_combined The log shows several events that share the same JSESSIONID value (SD404K289O2F151). View the events as a group.

  From the following list, which search groups events by JSESSIONID?

  A. index=web sourcetype=access_combined SD404K289O2F151 I table JSESSIONID
  B. index=web sourcetype=access_combined JSESSIONID <SD404K289O2F151>
  C. index=web sourcetype=access_combined I highlight JSESSIONID I search SD404K289O2F151
  D. index-web sourcetype=access_combined I transaction JSESSIONID I search SD404K289O2F151
  B. index=web sourcetype=access_combined JSESSIONID <SD404K289O2F151>

• Question 37:

  Which of the following statements describes POST workflow actions?

  A. Configuration of a POST workflow action includes choosing a sourcetype.
  B. POST workflow actions can be configured to send email to the URI location.
  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.
  D. POST workflow actions can be configured to send POST arguments to the URI location.

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  Explanation

  References:

  https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/SetupaPOSTw

  orkflowaction

• Question 38:

  Which one of the following statements about the search command is true?

  A. It does not allow the use of wildcards.
  B. It treats field values in a case-sensitive manner.
  C. It can only be used at the beginning of the search pipeline.
  D. It behaves exactly like search strings before the first pipe.
  D. It behaves exactly like search strings before the first pipe.

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  Explanation

  References:

  https://docs.splunk.com/Documentation/SplunkCloud/8.0.2003/Search/Usethesearchcommand.Thesearchcommandisusedtofilterorrefineyoursearchresultsbasedonasearchstringthatmatchestheevents.Thesearchcommandbehavesexactlylikesearchstringsbeforethefirstpipe,whichmeansthatyoucanusethesamesyntaxandoperatorsasyouwoulduseintheinitialpartofyoursearch.Therefore,optionDiscorrect,whileoptionsA,BandCareincorrectbecausetheyarenottruestatementsaboutthesearchcommand.

• Question 39:

  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 requires users to input SPL searches on data models.
  D. Pivot allows the creation of data visualizations that present different aspects of a data model.
  D. Pivot allows the creation of data visualizations that present different aspects of a data model.

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  Explanation

  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.

• Question 40:

  Which field will be used to populate the field if the productName and product:d fields have values for a given event?

  | eval productINFO=coalesco(productName,productid)

  A. Both field values will be used and the product INFO field will become a multivalue field for the given event.
  B. The value for the productName field because it appears first.
  C. Neither field value will be used and the field will be assigned a NULL value for the given event.
  D. The value for the field because it appears second.
  B. The value for the productName field because it appears first.

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  Explanation

  The correct answer is B. The value for the productName field because it appears first.

  The coalesce function is an eval function that takes an arbitrary number of arguments and returns the first value that is not null. A null value means that the field has no value at all, while an empty value means that the field has a value, but it is "" or zero-length. The coalesce function can be used to combine fields that have different names but represent the same data, such as IP address or user name.The coalesce function can also be used to rename fields for clarity or convenience.

  The syntax for the coalesce function is: coalesce(<field1>,<field2>,...)

  The coalesce function will return the value of the first field that is not null in the argument list. If all fields are null, the coalesce function will return null. For example, if you have a set of events where the IP address is extracted to either clientip or ipaddress, you can use the coalesce function to define a new field called ip, that takes the value of either clientip or ipaddress, depending on which is not null:

  | eval ip=coalesce(clientip,ipaddress)

  In your example, you have a set of events where the product name is extracted to either productName or productid, and you use the coalesce function to define a new field called productINFO, that takes the value of either productName or productid, depending on which is not null:

  | eval productINFO=coalesce(productName,productid) If both productName and productid fields have values for a given event, the coalesce function will return the value of the productName field because it appears first in the argument list.

  The productid field will be ignored by the coalesce function. Therefore, the value for the productName field will be used to populate the productINFO field if both fields have values for a given event.

  References:

  Search Command> Coalesce

  USAGE OF SPLUNK EVAL FUNCTION : COALESCE