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Splunk SPLK-1002 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Filtering and Formatting Results	10%	- Use the search and where commands to filter results - The eval command - The fillnull command
Topic 2: Creating Data Models	10%	- Create a data model - Describe the relationship between data models and pivot - Identify data model attributes
Topic 3: Creating Tags and Event Types	10%	- Create an event type - Create and use tags - Describe event types and their uses
Topic 4: Creating and Managing Fields	10%	- Perform regex field extractions using the Field Extractor (FX) - Perform delimiter field extractions using the FX
Topic 5: Using the Common Information Model (CIM) Add-On	10%	- Describe the Splunk CIM - Describe the use of the CIM Add-On
Topic 6: Creating and Using Workflow Actions	10%	- Create a GET workflow action - Create a Search workflow action - Describe the function of GET, POST, and Search workflow actions - Create a POST workflow action
Topic 7: Correlating Events	15%	- Identify transactions - Report on transactions - Search with transactions - Determine when to use transactions vs. stats - Group events using fields - Group events using fields and time
Topic 8: Creating Field Aliases and Calculated Fields	10%	- Describe, create, and use calculated fields - Describe, create, and use field aliases
Topic 9: Creating and Using Macros	10%	- Describe macros - Create and use a basic macro - Define arguments and variables for a macro - Add and use arguments with a macro
Topic 10: Using Transforming Commands for Visualizations	5%	- Use the chart command - Use the timechart command

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Splunk Core Certified Power User Exam Sample Questions (Q205-Q210):

NEW QUESTION # 205
When creating a data model, which root dataset requires at least one constraint?

A. Root search dataset
B. Root event dataset
C. Root child dataset
D. Root transaction dataset

Answer: B

Explanation:
The correct answer is B. Root event dataset. This is because root event datasets are defined by a constraint that
filters out events that are not relevant to the dataset. A constraint for a root event dataset is a simple search that
returns a fairly wide range of data, such assourcetype=access_combined. Without a constraint, a root event
dataset would include all the events in the index, which is not useful for data modeling.You can learn more
about how to design data models and add root event datasets from the Splunk documentation1. The other
options are incorrect because root transaction datasets and root search datasets have different ways of defining
their datasets, such as transaction definitions or complex searches, and root child datasets are not a valid type
of root dataset.

NEW QUESTION # 206
Which of the following statements would help a user choose between the transactionand stats commands?

A. statscan only group events using IP addresses.
B. There is a 1000 event limitation with the transactioncommand.
C. The transactioncommand is faster and more efficient.
D. Use statswhen the events need to be viewed as a single correlated event.

Answer: B

Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/SearchReference/Transaction

NEW QUESTION # 207
A user wants to convert numeric field values to strings and also to sort on those values.
Which command should be used first, the eval or the sort?

A. You cannot use the sort command and the eval command on the same field.
B. Convert the numeric to a string with eval first, then sort.
C. It doesn't matter whether eval or sort is used first.
D. Use sort first, then convert the numeric to a string with eval.

Answer: B

NEW QUESTION # 208
During the validation step of the Field Extractor workflow:
Select your answer.

A. You cannot modify the field extraction
B. You can validate where the data originated from
C. You can remove values that aren't a match for the field you want to define

Answer: C

Explanation:
Explanation
During the validation step of the Field Extractor workflow, you can remove values that aren't a match for the field you want to define2. The validation step allows you to review and edit the values that have been extracted by the FX and make sure they are correct and consistent2. You can remove values that aren't a match by clicking on them and selecting Remove Value from the menu2. This will exclude them from your field extraction and update the regular expression accordingly2. Therefore, option A is correct, while options B and C are incorrect because they are not actions that you can perform during the validation step of the Field Extractor workflow.

NEW QUESTION # 209
Based on the macro definition shown below, what is the correct way to execute the macro in a search string?

A. Convert_sales ($euro,$€$,s79$
B. Convert_sales (euro, €, 79)"
C. Convert_sales (euro, €, .79)
D. Convert_sales ($euro, $€$,S,79$)

Answer: C

Explanation:
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Usesearchmacros The correct way to execute the macro in a search string is to use the format macro_name($arg1$, $arg2$,
...) where $arg1$, $arg2$, etc. are the arguments for the macro. In this case, the macro name is convert_sales and it takes three arguments: currency, symbol, and rate. The arguments are enclosed in dollar signs and separated by commas. Therefore, the correct way to execute the macro is convert_sales($euro$, $€$,
.79).

NEW QUESTION # 210
......

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