SPLK-1001 Exam Dumps - Splunk Core Certified User Exam

The top command returns the most common values of a field and their count. By using the by clause, you can group the results by another field. In this case, the top command will return the top three most common values in statusCode for each user. The showperc=f option will suppress the percentage column in the output. The countfield option will rename the count column to status_code_count2.

Explanation/Reference:

The stats command calculates statistics based on fields in the events. The count function counts the number of events that match the criteria. The syntax is stats count (field_name), where field_name is the name of the field that contains the value to be counted. In this case, vendor_action is the field name, so stats count (vendor_action) is the correct syntax. References: Splunk Core User Certification Exam Study Guide, page 23.

The search query index=myindex source=c: \mydata. txt NOT error=* specifies three criteria for the events to be returned:

• The index must be myindex, which is a user-defined index that contains the data from a specific source or sources.
• The source must be c: \mydata. txt, which is the name of the file or directory where the data came from.
• The error field must not exist in the events, which is indicated by the NOT operator and the wildcard character (*).

The NOT operator negates the following expression, which means that it returns the events that do not match the expression. The wildcard character () matches any value, including an empty value or a null value. Therefore, the expression NOT error= means that the events must not have an error field at all, regardless of its value.

The search query does not use quotation marks around the source value, which means that it is case-sensitive and exact. If there are any variations in the source name, such as capitalization or spacing, they will not match the query.

References

• Search command syntax details
• Search command examples
• Basic searches and search results

The Power role contains the minimum permissions required to have write access to Splunk alerts. The User role can only view alerts created by others, but cannot create or modify them. The Alerting role is not a default role in Splunk, but a custom one that can be created by an administrator. The Admin role has write access to Splunk alerts, but also has many other permissions that are not necessary for alerting3.

The default time to live (ttl) for an ad-hoc search job is 10 minutes. This means that if no one views the results of a search within 10 minutes, the search job is canceled and the results are deleted. You can change this setting in the limits.conf file1.

The SPL search specified above will return 10 rows of results by default, as the "top" command specifies a limit of 10 results. The query will search for all events in the security index with a sourcetype of linuxsecure that contain either the terms fail* or invalid and will display the top 10 results according to the src_ip field.

The search query sourcetype=access_combined would return events from the access_combined sourcetype, which is a predefined sourcetype in Splunk that matches the access-common or access-combined Apache logging formats1. The sourcetype field is case-sensitive, so using different capitalization such as Access_Combined or ACCESS_COMBINED would not match the exact sourcetype name2. The sourcetype field is also a default field that is added by the indexer when it indexes the data, so it does not need to be enclosed in quotation marks3.

References

• List of pretrained source types
• Search command syntax details
• Basic searches and search results

Explanation/Reference:

Fields are searchable key/value pairs in event data. They allow you to specify criteria for your searches and filter out unwanted events. Fields can be extracted automatically by Splunk software during indexing or searching, or manually by users using various methods. Fields are not inherent entities that exist in event data, but rather interpretations of data by Splunk software or users. Fields are not values pulled exclusively from lookup tables, although lookup tables can be used to add fields to events based on existing fields. Fields are not non-searchable name/value pairs used while indexing data, but rather searchable attributes that can be used to refine searches5.

Splunk alerts are based on searches that run on a schedule or in real time. You can use alerts to monitor for and respond to specific events or conditions in your data. Alerts use a saved search to look for events in real time or on a schedule. Alerts trigger when search results meet specific conditions. You can use alert actions to respond when alerts trigger, such as sending an email, running a script, or creating a ticket1.

You can create alerts from the Search app, the Alerts page, or the Dashboards app. You can also use the Splunk Web framework to create custom alert actions using Python or JavaScript1.

Dashboards, webhooks, and reports are not the basis for Splunk alerts, although they can be related to them. Dashboards are collections of views that display data visually in a variety of ways. You can add alert panels to dashboards to show the status of your alerts2. Webhooks are a type of alert action that send HTTP POST requests to a specified URL when an alert triggers. You can use webhooks to integrate Splunk alerts with external systems or applications3. Reports are saved searches that include additional attributes such as a visualization type, permissions, and an optional description. You can create reports from search results and add them to dashboards as panels. You can also use reports as the basis for scheduled or real-time alerts.

References

• Getting started with alerts
• Add an alert panel to a dashboard
• Use webhooks with Splunk Enterprise
• [Create and edit reports]

Explanation/Reference:

According to the Splunk documentation, dashboards are collections of views that you can use to visually analyze your data. You can create dashboards using simple XML, or use the Splunk Web framework to build custom dashboards using HTML, CSS, and JavaScript.

Dashboards consist of one or more panels that display data in a variety of ways. You can use charts, tables, maps, single value indicators, and other visualizations to display your data. You can also add interactive elements to your dashboards, such as filters, drilldowns, and time range pickers, to make them more dynamic and user-friendly.

To create a dashboard panel from a search result, you can use the Save As button in the Search app and select Dashboard Panel. This will open a dialog box where you can choose an existing dashboard or create a new one, and specify the panel title and visualization type. You can also edit the panel properties and permissions before saving it to the dashboard.

Alternatively, you can create a report from a search result and then add it to a dashboard as a panel. Reports are saved searches that include additional attributes such as a visualization type, permissions, and an optional description. You can create reports using the Save As button in the Search app and select Report. To add a report to a dashboard, you can use the Add to Dashboard button in the Reports listing page or in the report itself.

Dashboards must have a unique dashboard ID within a permission’s context. This means that you cannot have two dashboards with the same ID in the same app or user space. The dashboard ID is used to reference the dashboard in URLs and XML files. You can specify the dashboard ID when you create a new dashboard using simple XML or the Splunk Web framework. If you do not specify an ID, Splunk software will generate one based on the dashboard title.

A best practice when writing a search string is to include the search terms at the beginning of the search string. This helps Splunk narrow down the events that match your search criteria and improve the search performance. Formatting commands and functions can be added later in the search pipeline to manipulate and display the results. References: Splunk Core User Certification Exam Study Guide, page 13.