Splunk Core Certified Power User SPLK-1002 Exam Practice Test

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Total 297 questions
Question 1
Question 2

When performing a regex field extraction with the Field Extractor (FX), a data type must be chosen before a sample event can be selected. Which of the following data types are supported?



Answer : D

When using the Field Extractor (FX) in Splunk for regex field extraction, it's important to select the context in which you want to perform the extraction. The context is essentially the subset of data you're focusing on for your field extraction task.

D . Sourcetype or source: This is the correct option. In the initial steps of using the Field Extractor tool, you're prompted to choose a data type for your field extraction. The options available are typically based on the nature of your data and how it's organized in Splunk. 'Sourcetype' refers to the kind of data you're dealing with, a categorization that helps Splunk apply specific processing rules. 'Source' refers to the origin of the data, like a specific log file or data input. By selecting either a sourcetype or source, you're narrowing down the dataset on which you'll perform the regex extraction, making it more manageable and relevant.


Question 3
Question 4
Question 5
Question 6

Which of the following statements is true about the root dataset of a data model?



Answer : B

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.


Question 7

When using the eval command, which of these characters can be used to concatenate a string and a number into a single value?



Answer : D

In Splunk, the eval command is often used for manipulating field values, including concatenation. The correct way to concatenate a string and a number is to use the . (period) operator. This operator joins different types of data into a single string value.

For example:

eval concatenated_value = 'value_' . 123

Result: concatenated_value will be value_123.

Other operators:

& is not a valid operator in eval for concatenation.

+ is used for arithmetic addition, not concatenation.

- is also not a concatenation operator.


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