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Splunk SPLK-1002 certification exam is intended for individuals who have experience in using Splunk software and want to take their skills to the next level. SPLK-1002 exam is divided into multiple sections that cover various aspects of Splunk, including searching and reporting, knowledge objects, and data management. SPLK-1002 Exam also tests the ability of the candidate to troubleshoot issues and optimize Splunk performance.
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The Splunk Core Certified Power User SPLK-1002 exam tests the candidate's fundamental comprehension of SPL searching as well as reporting commands. It also assesses one's skills in making tags along with event types, using macros, and creating workflow actions as well as data models. The test also checks if the candidate can utilize the Common Information Model to normalize data using either Splunk Enterprise or Splunk Cloud Platforms. The overall focus of the exam is on the evaluation of the applicants' understanding of the basic Splunk software and the ability to use it effectively. Finally, SPLK-1002 Exam is a requirement for professionals intending to go for the Splunk Core Certified Power User certification.
NEW QUESTION # 223
Which of the following expressions could be used to create a calculated field called gigabytes?
Answer: B
NEW QUESTION # 224
Information needed to create a GET workflow action includes which of the following? (select all that apply.)
Answer: A,B,C
Explanation:
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/SetupaGETworkflowaction Information needed to create a GET workflow action includes the following: a name of the workflow action, a URI where the user will be directed at search time, and a label that will appear in the Event Action menu at search time. A GET workflow action is a type of workflow action that performs a GET request when you click on a field value in your search results. A GET workflow action can be configured with various options, such as:
A name of the workflow action: This is a unique identifier for the workflow action that is used internally by Splunk. The name should be descriptive and meaningful for the purpose of the workflow action.
A
URI where the user will be directed at search time: This is the base URL of the external web service or application that will receive the GET request. The URI can include field value variables that will be replaced by the actual field values at search time. For example, if you have a field value variable ip, you can write it as
http://example.com/ip=$ip to send the IP address as a parameter to the external web service or application.
A label that will appear in the Event Action menu at search time: This is the display name of the workflow action that will be shown in the Event Action menu when you click on a field value in your search results.
The label should be clear and concise for the user to understand what the workflow action does.
Therefore, options A, B, and C are correct.
NEW QUESTION # 225
Which of the following searches show a valid use of macro? (Select all that apply)
Answer: A,C
Explanation:
Reference:
To use a macro in a search, you must enclose the macro name and any arguments in single quotation marks1. For example, 'my_macro(arg1,arg2)' is a valid way to use a macro with two arguments. You can use macros anywhere in your search string where you would normally use a search command or expression1. Therefore, options A and C are valid searches that use macros, while options B and D are invalid because they do not enclose the macros in single quotation marks.
NEW QUESTION # 226
Which of the following statements describe the search below? (select all that apply) Index=main I transaction clientip host maxspan=30s maxpause=5s
Answer: B,C,D
NEW QUESTION # 227
There are several ways to access the field extractor. Which option automatically identifies data type, source
type, and sample event?
Answer: D
Explanation:
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.
NEW QUESTION # 228
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