Splunk Splunk Certifications SPLK-1002 Questions & Answers

• Question 221:

  After manually editing; a regular expression (regex), which of the following statements is true?

  A. Changes made manually can be reverted in the Field Extractor (FX) UI.

  B. It is no longer possible to edit the field extraction in the Field Extractor (FX) UI.

  C. It is not possible to manually edit a regular expression (regex) that was created using the Field Extractor (FX) UI.

  D. The Field Extractor (FX) UI keeps its own version of the field extraction in addition to the one that was manually edited.

  Correct Answer: B

  After manually editing a regular expression (regex) that was created using the Field Extractor (FX) UI, it is no longer possible to edit the field extraction in the FX UI. The FX UI is a tool that helps you extract fields from your data using delimiters or regular expressions. The FX UI can generate a regex for you based on your selection of sample values or you can enter your own regex in the FX UI. However, if you edit the regex manually in the props.conf file, the FX UI will not be able to recognize the changes and will not let you edit the field extraction in the FX UI anymore. You will have to use the props.conf file to make any further changes to the field extraction. Changes made manually cannot be reverted in the FX UI, as the FX UI does not keep track of the changes made in the props.conf file. It is possible to manually edit a regex that was created using the FX UI, as long as you do it in the props.conf file. Therefore, only statement B is true about manually editing a regex.

• Question 222:

  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 page server

  C. index=web | stats sum(bytes) BY page AND server

  D. index=web | stats sum(bytes) BY values (page) values (server)

  Correct Answer: B

  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.

• Question 223:

  To create a tag, which of the following conditions must be met by the user?

  A. Identify at least one field:value pair.

  B. Have the Power role at a minimum.

  C. Be able to edit the sourcetype the tag applies to.

  D. Must have the tag capability associated with their user role.

  Correct Answer: D

  To create a tag, the user must have the tag capability associated with their user role. The tag capability allows the user to create, edit, and delete tags. The user does not need to identify a field:value pair, have the Power role, or be able to edit the sourcetype the tag applies to.ReferencesSee Define and manage tags in Settings and [About capabilities] in the Splunk Documentation.

• Question 224:

  What is the correct format for naming a macro with multiple arguments?

  A. monthly_sales(argument 1, argument 2, argument 3)

  B. monthly_sales(3)

  C. monthly_sales[3]

  D. monthly_sales[argument 1, argument 2, argument 3)

  Correct Answer: C

  The correct format for naming a macro with multiple arguments is monthly_sales3. The square brackets indicate that the macro has arguments, and the number indicates how many arguments it has. The arguments are separated by commas when calling the macro, such as monthly_sales[region,salesperson,date].

• Question 225:

  Which workflow action type performs a secondary search?

  A. POST

  B. Drilldown

  C. GET

  D. Search

  Correct Answer: D

  The correct answer is D. Search.

  A workflow action is a knowledge object that enables a variety of interactions between fields in events and other web resources. Workflow actions can create HTML links, generate HTTP POST requests, or launch secondary searches based on field values1. There are three types of workflow actions that can be set up using Splunk Web: GET, POST, and Search2. GET workflow actions create typical HTML links to do things like perform Google searches on specific values or run domain name queries against external WHOIS databases2. POST workflow actions generate an HTTP POST request to a specified URI. This action type enables you to do things like creating entries in external issue management systems using a set of relevant field values2. Search workflow actions launch secondary searches that use specific field values from an event, such as a search that looks for the occurrence of specific combinations of ipaddress and http_status field values in your index over a specific time range2. Therefore, the workflow action type that performs a secondary search is Search. References: Splexicon:Workflowaction About workflow actions in Splunk Web

• Question 226:

  Which of the following statements about tags is true? (select all that apply.)

  A. Tags are case-insensitive.

  B. Tags are based on field/vale pairs.

  C. Tags categorize events based on a search.

  D. Tags are designed to make data more understandable.

  Correct Answer: BD

  The following statements about tags are true: tags are based on field/value pairs and tags categorize events based on a search. Tags are custom labels that can be applied to fields or field values to provide additional context or meaning for your data. Tags can be used to filter or analyze your data based on common concepts or themes. Tags can be created by using various methods, such as search commands, configuration files, user interfaces, etc. Some of the characteristics of tags are: Tags are based on field/value pairs: This means that tags are associated with a specific field name and a specific field value. For example, you can create a tag called "alert" for the field name "status" and the field value "critical". This means that only events that have status=critical will have the "alert" tag applied to them. Tags categorize events based on a search: This means that tags are defined by a search string that matches the events that you want to tag. For example, you can create a tag called "web" for the search string sourcetype=access_combined. This means that only events that match the search string sourcetype=access_combined will have the "web" tag applied to them. The following statements about tags are false: tags are case-insensitive and tags are designed to make data more understandable. Tags are case-sensitive and tags are designed to make data more searchable. Tags are case-sensitive: This means that tags must match the exact case of the field name and field value that they are associated with. For example, if you create a tag called "alert" for the field name "status" and the field value "critical", it will not apply to events that have status=CRITICAL or Status=critical. Tags are designed to make data more searchable: This means that tags can help you find relevant events or patterns in your data by using common concepts or themes. For example, if you create a tag called "web" for the search string sourcetype=access_combined, you can use tag=web to find all events related to web activity.

• Question 227:

  This clause is used to group the output of a stats command by a specific name.

  A. Rex

  B. As

  C. List

  D. By

  Correct Answer: B

• Question 228:

  Using the Field Extractor (FX) tool, a value is highlighted to extract and give a name to a new field. Splunk has not successfully extracted that value from all appropriate events. What steps can be taken so Splunk successfully extracts the value from all appropriate events? (select all that apply)

  A. Select an additional sample event with the Field Extractor (FX) and highlight the missing value in the event.

  B. Re-ingest the data and attempt to extract from a new dataset.

  C. Click on the event where the field was not extracted and choose "Change to Delimited".

  D. Edit the regular expression manually.

  Correct Answer: AD

  When using the Field Extractor (FX) tool in Splunk and the tool fails to extract a value from all appropriate events, there are specific steps you can take to improve the extraction process. These steps involve interacting with the FX tool and possibly adjusting the extraction method:

  A. Select an additional sample event with the Field Extractor (FX) and highlight the missing value in the event. This approach allows Splunk to understand the pattern better by providing more examples. By highlighting the value in another

  event where it wasn't extracted, you help the FX tool to learn the variability in the data format or structure, improving the accuracy of the field extraction. D. Edit the regular expression manually. Sometimes the FX tool might not generate the

  most accurate regular expression for the field extraction, especially when dealing with complex log formats or subtle nuances in the data. In such cases, manually editing the regular expression can significantly improve the extraction process.

  This involves understanding regular expression syntax and how Splunk extracts fields, allowing for a more tailored approach to field extraction that accounts for variations in the data that the automatic process might miss.

  Options B and C are not typically related to improving field extraction within the Field Extractor tool. Re-ingesting data (B) does not directly impact the extraction process, and changing to a delimited extraction method (C) is not always

  applicable, as it depends on the specific data format and might not resolve the issue of missing values across events.

• Question 229:

  In the Field Extractor Utility, this button will display events that do not contain extracted fields.

  Select your answer.

  A. Selected-Fields

  B. Non-Matches

  C. Non-Extractions

  D. Matches

  Correct Answer: B

  The Field Extractor Utility (FX) is a tool that helps you extract fields from your events using a graphical interface or by manually editing the regular expression2. The FX has a button that displays events that do not contain extracted fields, which is the Non- Matches button2. The Non-Matches button shows you the events that do not match the regular expression that you have defined for your field extraction2. This way, you can check if your field extraction is accurate and complete2. Therefore, option B is correct, while options A, C and D are incorrect because they are not buttons that display events that do not contain extracted fields.

• Question 230:

  Highlighted search terms indicate _________ search results in Splunk.

  A. Display as selected fields.

  B. Sorted

  C. Charted based on time

  D. Matching

  Correct Answer: D

  Highlighted search terms indicate matching search results in Splunk, which means that they show which parts of your events match your search string2. For example, if you search for error OR fail, Splunk will highlight error or fail in your events to show which events match your search string2. Therefore, option D is correct, while options A, B and C are incorrect because they are not indicated by highlighted search terms.