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Splunk SPLK-1002 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Creating and Managing Fields	10%	- Field extraction methods 1. Regex field extraction using Field Extractor (FX) 2. Delimiter field extraction using Field Extractor (FX)
Topic 2: Tags and Event Types	10%	- Knowledge objects 1. Create event types 2. Event types usage 3. Create and use tags
Topic 3: Correlating Events	15%	- Event correlation techniques 1. Group events using fields 2. Report on transactions 3. Search with transactions 4. When to use transactions vs stats 5. Group events using fields and time 6. Identify transactions
Topic 4: Workflow Actions	10%	- Workflow action types 1. GET workflow actions 2. POST workflow actions 3. Search workflow actions
Topic 5: Filtering and Formatting Results	10%	- Search and evaluation commands 1. fillnull command 2. where command 3. search command 4. eval command
Topic 6: Using Transforming Commands for Visualizations	5%	- Visualization commands 1. chart command 2. timechart command
Topic 7: Common Information Model (CIM)	10%	- Data normalization 1. Purpose of CIM 2. Data normalization techniques 3. Using CIM add-ons
Topic 8: Macros	10%	- Search macros 1. Create and use basic macros 2. Macros with arguments
Topic 9: Data Models	10%	- Data model concepts 1. Data model attributes 2. Data model structure 3. Create data models 4. Pivot usage
Topic 10: Field Aliases and Calculated Fields	10%	- Field enrichment 1. Field aliases 2. Calculated fields

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Splunk Core Certified Power User Exam Sample Questions (Q276-Q281):

NEW QUESTION # 276
Which of the following statements describe data model acceleration? (Choose all that apply.)

A. You must have administrative permissions or the accelerate_datamodelcapability to accelerate a data model.
B. Root events cannot be accelerated.
C. Accelerated data models cannot be edited.
D. Private data models cannot be accelerated.

Answer: A,C

NEW QUESTION # 277
Which of the following are required to create a POST workflow action?

A. Label, URI, post arguments.
B. URI, search string, time range picker.
C. XMI attributes, URI, name.
D. Label, URI, search string.

Answer: C

NEW QUESTION # 278
Which of the following is the correct way to use the data model command to search field in the data model within the web dataset?

A. Datamodel=web | search web | filed web*
B. | datamodel web web field | search web*
C. | Search datamodel web web | filed web*
D. | datamodel web search | filed web *

Answer: D

Explanation:
The data model command allows you to run searches on data models that have been accelerated1. The syntax for using the data model command is | datamodel <model_name> <dataset_name> [search <search_string>]1.
Therefore, option A is the correct way to use the data model command to search fields in the data model within the web dataset. Options B and C are incorrect because they do not follow the syntax for the data model command. Option D is incorrect because it does not use the data model command at all.

NEW QUESTION # 279
Which function should you use with the transaction command to set the maximum total time between the earliest and latest events returned?

A. endswith
B. maxpause
C. maxduration
D. maxspan

Answer: D

NEW QUESTION # 280
Which of the following statements is true, especially in large environments?

A. Use the scats command when you next to group events by two or more fields.
B. Use the transaction command when you want to see the results of a calculation.
C. The stats command is faster and more efficient than the transaction command
D. The transaction command is faster and more efficient than the stats command.

Answer: C

Explanation:
Reference:
The stats command is faster and more efficient than the transaction command, especially in large environments. The stats command is used to calculate summary statistics on the events, such as count, sum, average, etc. The stats command can group events by one or more fields or by time buckets. The stats command does not create new events from groups of events, but rather creates new fields with statistical values. The transaction command is used to group events into transactions based on some common characteristics, such as fields, time, or both. The transaction command creates new events from groups of events that share one or more fields. The transaction command also creates some additional fields for each transaction, such as duration, eventcount, startime, etc. The transaction command is slower and more resource-intensive than the stats command because it has to process more data and create more events and fields.

NEW QUESTION # 281
......

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