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Splunk SPLK-1002 Exam Syllabus Topics:

Section	Weight	Objectives
Workflow Actions	10%	- Workflow action types 1. GET workflow actions 2. POST workflow actions 3. Search workflow actions
Using Transforming Commands for Visualizations	5%	- Visualization commands 1. chart command 2. timechart command
Filtering and Formatting Results	10%	- Search and evaluation commands 1. search command 2. fillnull command 3. where command 4. eval command
Data Models	10%	- Data model concepts 1. Data model attributes 2. Data model structure 3. Pivot usage 4. Create data models
Creating and Managing Fields	10%	- Field extraction methods 1. Regex field extraction using Field Extractor (FX) 2. Delimiter field extraction using Field Extractor (FX)
Correlating Events	15%	- Event correlation techniques 1. Group events using fields 2. Identify transactions 3. Group events using fields and time 4. Search with transactions 5. When to use transactions vs stats 6. Report on transactions
Tags and Event Types	10%	- Knowledge objects 1. Event types usage 2. Create and use tags 3. Create event types
Common Information Model (CIM)	10%	- Data normalization 1. Data normalization techniques 2. Purpose of CIM 3. Using CIM add-ons
Field Aliases and Calculated Fields	10%	- Field enrichment 1. Field aliases 2. Calculated fields
Macros	10%	- Search macros 1. Create and use basic macros 2. Macros with arguments

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SPLK-1002日本語対策、SPLK-1002復習過去問

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Splunk Core Certified Power User Exam 認定 SPLK-1002 試験問題 (Q212-Q217):

質問 # 212
Where are the descriptions of the data models that come with the Splunk Common Information Model (CIM) Add-on documented?

A. Pivot users manual.
B. Datamodel command reference guide.
C. Search and reporting user manual.
D. CIM Add-on manual.

正解：D

解説：
The CIM Add-on manual contains the descriptions of the data models that come with the Splunk Common Information Model (CIM) Add-on, as well as how to set up, use, and customize the add-on.
References
CIM Add-on manual
Splunk Common Information Model (CIM) | Splunkbase
Understand and use the Common Information Model Add-on - Splunk

質問 # 213
There are several ways to access the field extractor.
Which option automatically identifies the data type, source type, and sample event?

A. Fields sidebar > Extract New Fields
B. Settings > Field Extractions > New Field Extraction
C. Settings > Field Extractions > Open Field Extractor
D. Event Actions > Extract Fields

正解：B

解説：
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.4/Knowledge/Managesearch- timefieldextractions

質問 # 214
To identify all of the contributing events within a transaction that contains at least one REJECT event, which
syntax is correct?

A. Index-main | REJECT trans sessionid
B. Index=main | transaction sessionid | where transaction=reject''
C. Index-main | transaction sessionid | search REJECT
D. Index=main | transaction sessionid | whose transaction=reject

正解：C

解説：
The transaction command is used to group events that share a common value for one or more fields into
transactions2. The transaction command assigns a transaction ID to each group of events and creates new
fields such as duration, eventcount and eventlist for each transaction2. To identify all of the contributing
events within a transaction that contains at least one REJECT event, you can use the following
syntax: index=main | transaction sessionid | search REJECT2. This search will first group the events by
sessionid, then filter out the transactions that do not contain REJECT in any of their events2. Therefore, option
B is correct, while options A, C and D are incorrect because they do not follow the correct syntax for using the
transaction command or the search command.

質問 # 215
Which of the following statements describes macros?

A. A macro is a reusable search string that may have a flexible time range.
B. A macro is a reusable search string that must have a fixed time range.
C. A macro is a reusable search string that must contain the full search.
D. A macro is a reusable search string that must contain only a portion of the search.

正解：D

解説：
Explanation
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Definesearchmacros

質問 # 216
A user wants a table that will show the total revenue made for each product in each sales region. Which would be the correct SPL query to use?

A. index=X | chart sum(price) by product, region
B. index=X | chart total(product) over price by region
C. index=X | chart total(price) by product, region
D. index=X sourcetype=Y | chart sum(product) by price AND region

正解：A

解説：
The chart command with sum(price) by product, region will return a table where the total revenue (price) is aggregated (sum) for each product and sales region. This is the correct way to aggregate data in Splunk.
Reference:
Splunk Docs - chart command

質問 # 217
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