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[Hardware] Splunk SPLK-1002 Certification - Real SPLK-1002 Exam Answers

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【Hardware】 Splunk SPLK-1002 Certification - Real SPLK-1002 Exam Answers

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Splunk Core Certified Power User Exam Sample Questions (Q273-Q278):NEW QUESTION # 273
Which of the following examples would use a POST workflow action?
  • A. Launch secondary Splunk searches that use one or more field values from selected events.
  • B. Open a web browser to look up an HTTP status code.
  • C. Perform an external IP lookup based on a domain value found in events.
  • D. Use the field values in an HTTP error event to create a new ticket in an external system.
Answer: D
Explanation:
Explanation
The correct answer is B. Use the field values in an HTTP error event to create a new ticket in an external system.
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 example that would use a POST workflow action is B. Use the field values in an HTTP error event to create a new ticket in an external system. This example requires sending an HTTP POST request to the URI of the external system with the field values from the event as arguments.
The other examples would use different types of workflow actions. These examples are:
A: Perform an external IP lookup based on a domain value found in events: This example would use a GET workflow action to create a link to an external IP lookup service with the domain value as a parameter.
C: Launch secondary Splunk searches that use one or more field values from selected events: This example would use a Search workflow action to run another Splunk search with the field values from the event as search terms.
D: Open a web browser to look up an HTTP status code: This example would also use a GET workflow action to create a link to a web page that explains the meaning of the HTTP status code.
References:
Splexicon:Workflowaction
About workflow actions in Splunk Web

NEW QUESTION # 274
How are event types different from saved reports?
  • A. Event types do not include a time range.
  • B. Event types can be shared with Splunk users and added to dashboards.
  • C. Event types include formatting of the search results.
  • D. Event types cannot be used to organize data into categories.
Answer: A
Explanation:
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The correct answer is D. Event types do not include a time range.
The explanation is as follows:
* Event types are a categorization system that help you make sense of your data by matching events with the same search string1. Event types are applied to events at search time and can be used as search terms or filters12.
* Saved reports are results saved from a search action that can show statistics and visualizations of events3. Saved reports can be run anytime, and they fetch fresh results each time they are run34. Saved
* reports can be shared with other users and added to dashboards4.
* The main difference between event types and saved reports is that event types do not include a time range, while saved reports do14. This means that event types can match events from any time period, while saved reports are limited by the time range specified when they are created or run14.

NEW QUESTION # 275
There are several ways to access the field extractor. Which option automatically identifies data type, source type, and sample event?
  • A. Settings > Field Extractions > New Field Extraction
  • B. Fields sidebar > Extract New Field
  • C. Event Actions > Extract Fields
  • D. Settings > Field Extractions > Open Field Extraction
Answer: B
Explanation:
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 automatically identify 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 # 276
Which of the following can be used with the evalcommand tostringfunction? (Choose all that apply.)
  • A. "commas"
  • B. "hex"
  • C. "decimal"
  • D. "duration"
Answer: A,B,D
Explanation:
Explanation
Explanation/Reference: https://splunkonbigdata.com/2018 ... -function-tostring/

NEW QUESTION # 277
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. Zero
  • B. Three
  • C. Five
  • D. Eight
Answer: D
Explanation:
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.

NEW QUESTION # 278
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