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The SPLK-1002 Certification Exam is designed to test the advanced knowledge and skills of individuals who use Splunk on a regular basis. Splunk Core Certified Power User Exam certification is highly respected in the IT industry and is recognized by many employers as a validation of a candidate's expertise in Splunk. Earning this certification can open up new career opportunities and increase earning potential for individuals who work with Splunk.

Splunk Core Certified Power User Exam Sample Questions (Q230-Q235):

NEW QUESTION # 230
What is the relationship between data models and pivots?

A. Pivots provide the datasets for data models.
B. Pivots and data models have no relationship.
C. Pivots and data models are the same thing.
D. Data models provide the datasets for pivots.

Answer: D

Explanation:
The relationship between data models and pivots is that data models provide the datasets for pivots. Data
models are collections of datasets that represent your data in a structured and hierarchical way. Data models
define how your data is organized into objects and fields. Pivots are user interfaces that allow you to create
data visualizations that present different aspects of a data model. Pivots let you select options from menus and
forms to create charts, tables, maps, etc., without writing any SPL code. Pivots use datasets from data models
as their source of data. Pivots and data models are not the same thing, as pivots are tools for visualizing data
models. Pivots do not provide datasets for data models, but rather use them as inputs.
Therefore, only statement A is true about the relationship between data models and pivots.

NEW QUESTION # 231
Why would the following search produce multiple transactions instead of one?

The maxspan option is not included.
The transaction command has a limit of 1000 events per transaction.
The transaction and commands cannot be used together.
The stats list () function is used.

A. The maxspan option is not included1.

Answer: A

Explanation:
In Splunk, the transaction command is used to group events that share common characteristics into a single transaction1. By default, the transaction command groups all matching events into a single transaction1.
However, you can use the maxspan option to limit the time span of the transactions1. If the time span between the first and last event in a transaction exceeds the maxspan value, the transaction command will start a new transaction1.
Therefore, if the maxspan option is not included in the search, the transaction command might produce multiple transactions instead of one if the time span between the first and last event in a transaction exceeds the default maxspan value1.
Here is an example of how you can use the maxspan option in a search:
index=main sourcetype=access_combined | transaction someuniqefield maxspan=1h In this search, the transaction command groups events that share the same someuniqefield value into a single transaction, but only if the time span between the first and last event in the transaction does not exceed 1 hour1. If the time span exceeds 1 hour, the transaction command will start a new transaction1.
Explanation:
The correct answer is

NEW QUESTION # 232
The eval command 'if' function requires the following three arguments (in order):

A. Boolean expression, result if true, result if false
B. Boolean expression, result if false, result if true
C. Result if false, result if true, boolean expression
D. Result if true, result if false, boolean expression

Answer: A

Explanation:
The eval command 'if' function requires the following three arguments (in order): boolean expression, result if true, result if false. The eval command is a search command that allows you to create new fields or modify existing fields by performing calculations or transformations on them. The eval command can use various functions to perform different operations on fields. The 'if' function is one of the functions that can be used with the eval command to perform conditional evaluations on fields. The 'if' function takes three arguments:
a boolean expression that evaluates to true or false, a result that will be returned if the boolean expression is true, and a result that will be returned if the boolean expression is false. The 'if' function returns one of the two results based on the evaluation of the boolean expression.

NEW QUESTION # 233
Which of the following examples would use a POST workflow action?

A. Open a web browser to look up an HTTP status code.
B. Perform an external IP lookup based on a domain value found in events.
C. Use the field values in an HTTP error event to create a new ticket in an external system.
D. Launch secondary Splunk searches that use one or more field values from selected events.

Answer: C

Explanation:
The correct answer is B. Use the field values in an HTTP error event to create a new ticket in an external system.
A workflow action is a knowledge object that enables a variety of interactions between fields in events and other web resources. Workflow actions can create HTML links, generate HTTP POST requests, or launch secondary searches based on field values1.
There are three types of workflow actions that can be set up using Splunk Web: GET, POST, and Search2.
* GET workflow actions create typical HTML links to do things like perform Google searches on specific values or run domain name queries against external WHOIS databases2.
* POST workflow actions generate an HTTP POST request to a specified URI. This action type enables you to do things like creating entries in external issue management systems using a set of relevant field values2.
* Search workflow actions launch secondary searches that use specific field values from an event, such as a search that looks for the occurrence of specific combinations of ipaddress and http_status field values in your index over a specific time range2.
Therefore, the example that would use a POST workflow action is B. Use the field values in an HTTP error event to create a new ticket in an external system. This example requires sending an HTTP POST request to the URI of the external system with the field values from the event as arguments.
The other examples would use different types of workflow actions. These examples are:
* A. Perform an external IP lookup based on a domain value found in events: This example would use a GET workflow action to create a link to an external IP lookup service with the domain value as a parameter.
* C. Launch secondary Splunk searches that use one or more field values from selected events: This example would use a Search workflow action to run another Splunk search with the field values from the event as search terms.
* D. Open a web browser to look up an HTTP status code: This example would also use a GET workflow
* action to create a link to a web page that explains the meaning of the HTTP status code.
References:
* Splexicon:Workflowaction
* About workflow actions in Splunk Web

NEW QUESTION # 234
A user runs the following search:
index-X sourcetype=Y I chart count (domain) as count, sum (price) as sum by product, action usenull=f useother-f Which of the following table headers match the order this command creates?

A. The chart command does not allow for multiple statistical functions.
B. Product, sum: addtocart, sum: remove, sum: purchase, count: addtocart, count: remove, count: purchase
C. Count: product, sum: product, count: action, sum: action
D. Product, count: addtocart, count: remove, count: purchase, sum: addtocart, sum: remove, sum: purchase

Answer: D

Explanation:
The correct answer is C. Product, count: addtocart, count: remove, count: purchase, sum: addtocart, sum: remove, sum: purchase1.
In Splunk, the chart command is used to create a table or a chart visualization from your data2. The chart command takes at least one function and one field, and optionally another field to group by2.
In the given search, the chart command is used with two functions (count and sum), two fields (domain and price), and two fields to group by (product and action). The usenull=f and useother=f options are used to exclude null values and other values from the chart2.
The chart command creates a table with headers that match the order of the fields and functions in the command1. The headers for the count function are prefixed with count:, and the headers for the sum function are prefixed with sum:1. The values of the product and action fields are used as the suffixes for the headers1.
Therefore, the table headers created by this command are Product, count: addtocart, count: remove, count: purchase, sum: addtocart, sum: remove, and sum: purchase1.

NEW QUESTION # 235
......

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