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Splunk Core Certified
Power User Exam
Version: Demo
[ Total Questions: 10]
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Splunk
SPLK-1002
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Splunk - SPLK-1002
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Category Breakdown
Category
Number of Questions
Knowledge Objects
3
Searches, Reports, and Alerts
6
Field Extractions and Transformations
1
TOTAL
10
Question #:1 - [Knowledge Objects]
Where are the descriptions of the data models that come with the Splunk Common Information Model (CIM)
Add-on documented?
Search and reporting user manual.
CIM Add-on manual.
Pivot users manual.
Datamodel command reference guide.
Answer: B
Explanation
The descriptions of the data models that come with the Splunk Common Information Model (CIM) Add-on
are documented in the CIM Add-on manual (Option B). This manual provides detailed information about the
data models, including their structure, the types of data they are designed to normalize, and how they can be
used to facilitate cross-sourcing reporting and analysis.
Question #:2 - [Searches, Reports, and Alerts]
Which knowledge object is used to normalize field names to comply with the Splunk Common Information
Model (CIM)?
Field alias
Event types
Search workflow action
Tags
Answer: A
Explanation
The correct answer is A. Field alias123.
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In Splunk, a field alias is a knowledge object that you can use to assign an alternate name to a field3. This can
be particularly useful when you want to normalize your data to comply with the Splunk Common Information
Model (CIM)12.
The CIM provides a methodology for normalizing values to a common field name1. It acts as a search-time
schema to define relationships in the event data while leaving the raw machine data intact2. By using field
aliases, you can map vendor fields to common fields that are the same for each data source in a given
domain4. This allows you to correlate events from different source types by normalizing these different
occurrences to a common structure and naming convention1.
Question #:3 - [Searches, Reports, and Alerts]
Which of the following is true about the Splunk Common Information Model (CIM)?
The data models included in the CIM are configured with data model acceleration turned off.
The CIM contains 28 pre-configured datasets.
The CIM is an app that needs to run on the indexer.
The data models included in the CIM are configured with data model acceleration turned on.
Answer: D
Explanation
The Splunk Common Information Model (CIM) is an app that contains a set of predefined data models that
apply a common structure and naming convention to data from any source. The CIM enables you to use data
from different sources in a consistent and coherent way. The CIM contains 28 pre-configured datasets that
cover various domains such as authentication, network traffic, web, email, etc. The data models included in
the CIM are configured with data model acceleration turned on by default, which means that they are
optimized for faster searches and analysis. Data model acceleration creates and maintains summary data for
the data models, which reduces the amount of raw data that needs to be scanned when you run a search using
a data model.
Splunk Core Certified Power User Track, page 10. : Splunk Documentation, About the Splunk Common
Information Model.
Question #:4 - [Field Extractions and Transformations]
Which delimiters can the Field Extractor (FX) detect? (select all that apply)
Tabs
Pipes
Spaces
Commas
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Answer: B C D
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/FXSelectMethodstep
 The Field Extractor (FX) is a tool that helps you extract fields from your data using delimiters or regular
expressions. Delimiters are characters or strings that separate fields in your data. The FX can detect some
common delimiters automatically, such as pipes (|), spaces ( ), commas (,), semicolons (;), etc. The FX cannot
detect tabs (\t) as delimiters automatically, but you can specify them manually in the FX interface.
Question #:5 - [Searches, Reports, and Alerts]
Which of the following statements describes Search workflow actions?
By default. Search workflow actions will run as a real-time search.
Search workflow actions can be configured as scheduled searches,
The user can define the time range of the search when created the workflow action.
Search workflow actions cannot be configured with a search string that includes the transaction
command
Answer: C
Explanation
Search workflow actions are custom actions that run a search when you click on a field value in your search
results. Search workflow actions can be configured with various options, such as label name, search string,
time range, app context, etc. One of the options is to define the time range of the search when creating the
workflow action. You can choose from predefined time ranges, such as Last 24 hours, Last 7 days, etc., or
specify a custom time range using relative or absolute time modifiers. Search workflow actions do not run as
real-time searches by default, but rather use the same time range as the original search unless specified
otherwise. Search workflow actions cannot be configured as scheduled searches, as they are only triggered by
user interaction. Search workflow actions can be configured with any valid search string that includes any
search command, such as transaction.
Question #:6 - [Searches, Reports, and Alerts]
The time range specified for a historical search defines the ____________ .------questionable on ans
Amount of data shown on the timeline as data streams in
Amount of data fetched from index matching that time range
Time range for the static results
Answer: B
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B.
C.
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B.
C.
D.
Explanation
The time range specified for a historical search defines the amount of data fetched from the index matching
that time range2. A historical search is a search that runs over a fixed period of time in the past2. When you
run a historical search, Splunk searches the index for events that match your search string and fall within the
specified time range2. Therefore, option B is correct, while options A and C are incorrect because they are not
what the time range defines for a historical search.
Question #:7 - [Searches, Reports, and Alerts]
Why would the transaction command be used instead of the stats command?
The transaction command is less resource-intensive.
The transaction command can perform calculations on fields.
The transaction command keeps the raw data for each event.
The transaction command has better search-time performance.
Answer: C
Explanation
The transaction command retains the raw events grouped together, preserving all details of each event within
the transaction. In contrast, the stats command aggregates data and often discards raw event data, which is not
suitable when full event context is needed.
Reference:
Splunk Power User Study Guide, Search Commands
Splunk Docs: transaction vs stats
"transaction keeps raw event data intact for grouped events, unlike stats which aggregates and summarizes."
Question #:8 - [Searches, Reports, and Alerts]
What other syntax will produce exactly the same results as | chart count over vendor_action by user?
| chart count by vendor_action, user
| chart count over vendor_action, user
| chart count by vendor_action over user
| chart count over user by vendor_action
Answer: A
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Explanation
https://docs.splunk.com/Documentation/Splunk/8.1.2/SearchReference/Chart
Question #:9 - [Knowledge Objects]
What is the correct format for naming a macro with multiple arguments?
monthly_sales(argument 1, argument 2, argument 3)
monthly_sales(3)
monthly_sales[3]
monthly_sales[argument 1, argument 2, argument 3)
Answer: C
Explanation
The correct format for naming a macro with multiple arguments is monthly_sales3. The square brackets
indicate that the macro has arguments, and the number indicates how many arguments it has. The arguments
are separated by commas when calling the macro, such as monthly_sales[region,salesperson,date].
Question #:10 - [Knowledge Objects]
A data model consists of which three types of datasets?
Constraint, field, value.
Events, searches, transactions.
Field extraction, regex, delimited.
Transaction, session ID, metadata.
Answer: B
Explanation
The building block of a data model. Each data model is composed of one or more data model datasets. Each
dataset within a data model defines a subset of the dataset represented by the data model as a whole.
Data model datasets have a hierarchical relationship with each other, meaning they have parent-child
relationships. Data models can contain multiple dataset hierarchies. There are three types of dataset
hierarchies: event, search, and transaction.
https://docs.splunk.com/Splexicon:Datamodeldataset
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