Pass the Splunk Core Certified Power User SPLK-1002 Questions and answers with ExamsMirror

The stats command is used to calculate summary statistics for your search results such as count, sum, avg, min, max and more2. The stats command supports various functions that you can use to perform calculations on your fields2. 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 group2. Therefore, option B is correct, while options A, C and D are incorrect because they are valid stats functions.

A chart is a graphical representation of your search results that shows the relationship between two or more fields2. You can display a chart in stack mode by changing the Stack Mode option in the Format menu2. Stack mode allows you to stack multiple series on top of each other in a chart to show the cumulative values of each series2. Therefore, option C is correct, while options A, B and D are incorrect because they are not ways to display a chart in stack mode.

The eval command supports a number of functions that you can use in your expressions to perform calculations, conversions, string manipulations and more2. One of the eval command functions is tostring(), which converts a numeric value to a string value2. Therefore, option D is correct, while options A, B and C are incorrect because they are not valid eval command functions.

The correct syntax to find events associated with a tag in Splunk is tag=1. So, the correct answer is D. tag=. This syntax allows you to annotate specified fields in your search results with tags1.

In Splunk, tags are a type of knowledge object that you can use to add meaningful aliases to field values in your data1. For example, if you have a field called status_code in your data, you might have different status codes like 200, 404, 500, etc. You can create tags for these status codes like success for 200, not_found for 404, and server_error for 500. Then, you can use the tag command in your searches to find events associated with these tags1.

Here is an example of how you can use the tag command in a search:

index=main sourcetype=access_combined | tag status_code

In this search, the tag command annotates the status_code field in the search results with the corresponding tags. If you have tagged the status code 200 with success, the status code 404 with not_found, and the status code 500 with server_error, the search results will include these tags1.

You can also use the tag command with a specific tag value to find events associated with that tag. For example, the following search finds all events where the status code is tagged with success:

index=main sourcetype=access_combined | tag status_code | search tag::status_code=success

In this search, the tag command annotates the status_code field with the corresponding tags, and the search command filters the results to include only events where the status_code field is tagged with success1.

The correct answer is B. eventtype=web_errors.

An event type is a way to categorize events based on a search. An event type assigns a label to events that match a specific search criteria. Event types can be used to filter and group events, create alerts, or generate reports1.

To search for events that have a specific event type, you need to use the eventtype field with the name of the event type as the value. The syntax for this is:

eventtype=

For example, if you want to search for events that have the event type web_errors, you can use the following syntax:

eventtype=web_errors

This will return only the events that match the search criteria defined by the web_errors event type.

The other options are not correct because they use different syntax or fields that are not related to event types. These options are:

A. tag=web_errors: This option uses the tag field, which is a way to add descriptive keywords to events based on field values. Tags are different from event types, although they can be used together. Tags can be used to filter and group events by common characteristics2.

C. eventtype “web errors”: This option uses quotation marks around the event type name, which is not valid syntax for the eventtype field. Quotation marks are used to enclose phrases or exact matches in a search3.

D. eventtype (web_errors): This option uses parentheses around the event type name, which is also not valid syntax for the eventtype field. Parentheses are used to group expressions or terms in a search3.

https://docs.splunk.com/Documentation/Splunk/8.0.2/SearchReference/Eval

The eval command calculates an expression and puts the resulting value into a search results field.

If the field name that you specify does not match a field in the output, a new field is added to the search results.

If the field name that you specify matches a field name that already exists in the search results, the results of the eval expression overwrite the values in that field.

This search uses the transaction command to group events that share a common value for JSESSIONID into transactions1. The transaction command assigns a duration field to each transaction, which is the difference between the latest and earliest timestamps of the events in the transaction1. The search then uses the timechart command to create a time-series chart of the average duration of each transaction1. Therefore, option A is correct because it describes the search accurately. Option B is incorrect because the search does not use the stats command or the pause field. Option C is incorrect because the transaction command does not require the startswith and endswith options, although they can be used to specify how to identify the beginning and end of a transaction1. Option D is incorrect because the transaction command does not have to be the last command in the search pipeline, although it is often used near the end of a search1.

https://docs.splunk.com/Documentation/Splunk/8.1.0/SearchReference/Chart

https://docs.splunk.com/Documentation/Splunk/8.1.0/SearchReference/Stats

In Splunk, a data model's root dataset is the foundational element upon which the rest of the data model is built. The root dataset can be of various types, including search, transaction, or event-based datasets. One of the key features of the root dataset is that it automatically inherits the knowledge objects associated with its base search. These knowledge objects include field extractions, lookups, aliases, and calculated fields that are defined for the base search, ensuring that the root dataset has all necessary contextual information from the outset. This allows users to build upon this dataset with additional child datasets and objects without having to redefine the base search’s knowledge objects.