Curious about Actual Splunk Core Certified Power User (SPLK-1002) Exam Questions?

Correct : C

When performing an outer join in Splunk using the| join employeeNumber type=outercommand, it combines the rows from both tables based on theemployeeNumberfield. An outer join returns all rows from both tables, with matching rows from both sides where available. If there is no match, the result isNULLon 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.

Splunk Documentation on thejoincommand.

Splunk Community discussions on the usage ofjoinand types of joins.

Correct : A

When using the transaction command in Splunk, the default maximum span between events is set to unlimited. This is indicated by the default value of maxspan=-1, which corresponds to an ''all time'' time range.

Correct : C

The appendcols command in Splunk is used to connect an additional table of data directly to the right side of the existing table. It appends the results of a subsearch as new fields to the current results, effectively adding columns to the existing table.

Correct : C

In Splunk, the NOT operator is used to exclude events from your search results. The searchindex=network NOT StatusCode=200will return all events in the 'network' index where the StatusCode is not 200. This includes events where the StatusCode field is present and has a value other than 200, as well as events where the StatusCode field is not present at all.

Reference: The use of the NOT operator in SPL (Search Processing Language) is consistent with the information provided in the Splunk documentation and resources, which describe how to generate efficient searches and make the most of Splunk's capabilities

Correct : B

The Splunk Common Information Model (CIM) Add-on is a foundational component for many Splunk apps, providing a common framework for data normalization and field extraction. This add-on includes a set of pre-configured data models that are essential for consistent reporting, searching, and correlation across various types of data. These data models help standardize field names and event structures, ensuring that data from disparate sources can be queried in a uniform way. While the CIM Add-on facilitates the use of standardized sourcetypes and supports data validation, the primary feature it offers is the set of pre-configured data models which are crucial for maintaining consistency across different datasets.