Cyber Monday 2024! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

Splunk Exam SPLK-3002 Topic 9 Question 52 Discussion

Actual exam question for Splunk's SPLK-3002 exam
Question #: 52
Topic #: 9
[All SPLK-3002 Questions]

What should be considered when onboarding data into a Splunk index, assuming that ITSI will need to use this data?

Show Suggested Answer Hide Answer
Suggested Answer: B

When onboarding data into a Splunk index, assuming that ITSI will need to use this data, you should consider the following:

B) Check if the data could leverage pre-built KPIs from modules, then use the correct TA to onboard the data. This is true because modules are pre-packaged sets of services, KPIs, and dashboards that are designed for specific types of data sources, such as operating systems, databases, web servers, and so on. Modules help you quickly set up and monitor your IT services using best practices and industry standards. To use modules, you need to install and configure the correct technical add-ons (TAs) that extract and normalize the data fields required by the modules.

The other options are not things you should consider because:

A) Use | stats functions in custom fields to prepare the data for KPI calculations. This is not true because using | stats functions in custom fields can cause performance issues and inaccurate results when calculating KPIs. You should use | stats functions only in base searches or ad hoc searches, not in custom fields.

C) Make sure that all fields conform to CIM, then use the corresponding module to import related services. This is not true because not all modules require CIM-compliant data sources. Some modules have their own data models and field extractions that are specific to their data sources. You should check the documentation of each module to see what data requirements and dependencies they have.

D) Plan to build as many data models as possible for ITSI to leverage. This is not true because building too many data models can cause performance issues and resource consumption in your Splunk environment. You should only build data models that are necessary and relevant for your ITSI use cases.

Contribute your Thoughts:

Lashaunda
5 months ago
Building multiple data models seems like a lot of work, though.
upvoted 0 times
...
Audria
5 months ago
I believe we need to ensure all fields conform to CIM for importing services.
upvoted 0 times
...
Felicitas
5 months ago
That could be a good option if the data fits the criteria.
upvoted 0 times
...
Malcolm
5 months ago
But what about leveraging pre-built KPIs from modules?
upvoted 0 times
...
Keith
5 months ago
I agree. It would help prepare the data for KPI calculations.
upvoted 0 times
...
Rose
5 months ago
I think we should consider using custom fields and stats functions.
upvoted 0 times
...
Valentin
6 months ago
Agreed, Trinidad. Importing related services using the corresponding module can streamline the process.
upvoted 0 times
...
Trinidad
6 months ago
I think making sure that all fields conform to CIM is equally important. It helps with consistency across services.
upvoted 0 times
...
Odette
7 months ago
That's a good point, Rebeca. Using the correct TA to onboard the data is crucial for efficiency.
upvoted 0 times
...
Rebeca
7 months ago
But shouldn't we also check if the data could leverage pre-built KPIs from modules?
upvoted 0 times
...
Rhea
7 months ago
I agree with Julene. It's important to have the data properly prepared for ITSI.
upvoted 0 times
...
Julene
7 months ago
I think we should consider using | stats functions in custom fields to prepare the data for KPI calculations.
upvoted 0 times
...

Save Cancel
az-700  pass4success  az-104  200-301  200-201  cissp  350-401  350-201  350-501  350-601  350-801  350-901  az-720  az-305  pl-300  

Warning: Cannot modify header information - headers already sent by (output started at /pass.php:70) in /pass.php on line 77