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SPLK-1002 Splunk Core Certified Power User

  • Splunk
  • 5 free sample questions

About this exam

SPLK-1002 is the Splunk exam Splunk Core Certified Power User. Paid practice material for this exam is not available yet, but you can try its free sample questions.

Exam code
SPLK-1002
Vendor
Splunk
Practice questions
Not available yet
Free sample questions
5
Question bank last updated
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Try 2 sample questions

Taken from the free sample set for SPLK-1002.

Question 1

When creating a data model, which root dataset requires at least one constraint?

  1. Option A:

    Root transaction dataset

  2. Option B:

    Root event dataset

  3. Option C:

    Root child dataset

  4. Option D:

    Root search dataset

Show answer and explanation

Correct answer: B

The correct answer is B. Root event dataset. This is because root event datasets are defined by a constraint that filters out events that are not relevant to the dataset. A constraint for a root event dataset is a simple search that returns a fairly wide range of data, such as sourcetype=access_combined. Without a constraint, a root event dataset would include all the events in the index, which is not useful for data modeling. You can learn more about how to design data models and add root event datasets from the Splunk documentation1. The other options are incorrect because root transaction datasets and root search datasets have different ways of defining their datasets, such as transaction definitions or complex searches, and root child datasets are not a valid type of root dataset.

Question 2

In what order arc the following knowledge objects/configurations applied?

  1. Option A:

    Field Aliases, Field Extractions, Lookups

  2. Option B:

    Field Extractions, Field Aliases, Lookups

  3. Option C:

    Field Extractions, Lookups, Field Aliases

  4. Option D:

    Lookups, Field Aliases, Field Extractions`

Show answer and explanation

Correct answer: B

[Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/WhatisSplunkknowledge, , Knowledge objects are entities that you create to add knowledge to your data and make it easier to search and analyze2. Some examples of knowledge objects are field extractions, field aliases and lookups2. Field extractions are methods that extract fields from your raw data using various techniques such as regular expressions, delimiters or key-value pairs2. Field aliases are ways to assign alternative names to existing fields without changing the original field names or values2. Lookups are ways to enrich your data with additional information from external sources such as CSV files or databases2. The order in which these knowledge objects/configurations are applied is as follows: field extractions, field aliases and then lookups2. This means that Splunk first extracts fields from your raw data, then applies any aliases to the extracted fields and then performs any lookups on the aliased fields2. Therefore, option B is correct, while options A, C and D are incorrect., , , , , ]

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