Splunk Exam SPLK-1002 Topic 8 Question 102 Discussion

Actual exam question for Splunk's SPLK-1002 exam

Question #: 102
Topic #: 8

[All SPLK-1002 Questions]

What is a benefit of installing the Splunk Common Information Model (CIM) add-on?

AIt permits users to create workflow actions to align with industry standards.

BIt provides users with a standardized set of field names and tags to normalize data.

CIt allows users to create 3-D models of their data and export these visualizations.

DIt enables users to itemize their events based on the results of the Search Job Inspector.

Show Suggested Answer

Suggested Answer: B

It provides users with a standardized set of field names and tags to normalize data.

The Splunk CIM add-on provides a standardized set of field names and data models, which allows users to normalize and categorize data from various sources into a common format. This helps with data interoperability and enables faster, more consistent reporting and searching across different data sources.

Splunk Documentation - Common Information Model (CIM)

by Stefany at Oct 23, 2024, 10:39 AM

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Florinda

7 months ago

As much as I love creating fancy visualizations, I have to go with B. Normalizing the data is the foundation for everything else in Splunk.

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Felice

7 months ago

Haha, 3-D models of data? That's a bit overkill, don't you think? I'll go with B - the standardized fields are the real MVP here.

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8 months ago

I think the correct answer is B. The CIM provides a standardized set of field names and tags to normalize data, which is extremely helpful for making sense of diverse data sources.

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Amalia

7 months ago

Having a common information model in place can save a lot of time and effort in data management.

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Golda

7 months ago

I've used the CIM add-on before and it really streamlines the process of data analysis.

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Refugia

7 months ago

It definitely helps with normalizing data from different sources. Makes everything more organized.

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Marjory

7 months ago

I agree, answer B is correct. Having standardized field names and tags makes it easier to analyze data.

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