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Splunk Core Certified Power User (SPLK-1002) Exam is designed to validate the skills and knowledge of individuals who use Splunk to analyze and interpret data. Splunk is a powerful platform that allows organizations to collect, monitor, and analyze machine-generated data from various sources. The SPLK-1002 Exam is intended for professionals who use Splunk on a daily basis and are responsible for managing and manipulating data within the platform.
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Splunk Core Certified Power User Exam Sample Questions (Q16-Q21):
NEW QUESTION # 16
Calculated fields can be based on which of the following?
- A. Fields generated from a search string
- B. Tags
- C. Output fields for a lookup
- D. Extracted fields
Answer: D
Explanation:
"Calculated fields can reference all types of field extractions and field aliasing, but they cannot reference
lookups, event types, or tags."
NEW QUESTION # 17
Which syntax will find events where the values for the 1 field match the values for the Renewal-MonthYear field?
| where 10yearAnnerversary=Renewal-MonthYear
| where '10yearAnnerversary=Renewal-MonthYear
| where 10yearAnnerversary='Renewal-MonthYear'
| where '10yearAnnerversary'='Renewal-MonthYear'
Answer:
Explanation:
where 10yearAnnerversary=Renewal-MonthYear.
The where command is used to filter the search results based on an expression that evaluates to true or false. The where command can compare two fields, two values, or a field and a value. The where command can also use functions, operators, and wildcards to create complex expressions1.
The syntax for the where command is:
| where <expression>
The expression can be a comparison, a calculation, a logical operation, or a combination of these. The expression must evaluate to true or false for each event.
To compare two fields with the where command, you need to use the field names without any quotation marks. For example, if you want to find events where the values for the 10yearAnnerversary field match the values for the Renewal-MonthYear field, you can use the following syntax:
| where 10yearAnnerversary=Renewal-MonthYear
This will return only the events where the two fields have the same value.
The other options are not correct because they use quotation marks around the field names, which will cause the where command to interpret them as string values instead of field names. For example, if you use:
| where '10yearAnnerversary'='Renewal-MonthYear'
This will return no events because there are no events where the string value '10yearAnnerversary' is equal to the string value 'Renewal-MonthYear'.
Explanation:
The correct answer is
Reference:
where command usage
NEW QUESTION # 18
Which function should you use with the transaction command to set the maximum total time between the earliest and latest events returned?
- A. maxspan
- B. maxduration
- C. maxpause
- D. endswith
Answer: A
Explanation:
The maxspan function of the transaction command allows you to set the maximum total time between the earliest and latest events returned. The maxspan function is an argument that can be used with the transaction command to specify the start and end constraints for the transactions. The maxspan function takes a time modifier as its value, such as 30s, 5m, 1h, etc. The maxspan function sets the maximum time span between the first and last events in a transaction. If the time span between the first and last events exceeds the maxspan value, the transaction will be split into multiple transactions.
NEW QUESTION # 19
What other syntax will produce exactly the same results as | chart count over vendor_action by user?
- A. | chart count over user by vendor_action
- B. | chart count over vendor_action, user
- C. | chart count by vendor_action over user
- D. | chart count by vendor_action, user
Answer: D
Explanation:
https://docs.splunk.com/Documentation/Splunk/8.1.2/SearchReference/Chart
NEW QUESTION # 20
Data model fields can be added using the Auto-Extracted method. Which of the following statements describe Auto-Extracted fields? (select all that apply)
- A. Auto-Extracted fields can be hidden in Pivot.
- B. Auto-Extracted fields can have their data type changed.
- C. Auto-Extracted fields can be given a friendly name for use in Pivot.
- D. Auto-Extracted fields can be added if they already exist in the dataset with constraints.
Answer: A,C,D
Explanation:
Auto-Extracted fields in Splunk Data Models are derived directly from the indexed data based on the existing fields within the events. These fields are identified and extracted by Splunk automatically, without the need for explicit field extractions configured by the user. Understanding the characteristics of Auto-Extracted fields is crucial for effectively managing Data Models and utilizing them in Pivot tables for analysis.
A: Auto-Extracted fields can be hidden in Pivot. This is true. When building a Data Model, you have the option to hide certain fields from appearing in Pivot, making the Pivot table cleaner and more focused on the fields that are most relevant for analysis. This helps in reducing clutter and focusing on the data that matters most to the users.
B: Auto-Extracted fields can have their data type changed. This statement is not typically accurate for Auto-Extracted fields. The data type of an Auto-Extracted field is determined by Splunk based on the field's content in the indexed data. While you can assign a type to a field when you manually create a field in a data model, the inherent data type of Auto-Extracted fields is not something that is changed within the Data Model itself.
C: Auto-Extracted fields can be given a friendly name for use in Pivot. This is correct. Within Data Models, you can assign a more user-friendly, descriptive name to an Auto-Extracted field. This feature is particularly useful in making Data Models more intuitive and easier to use for those who may not be familiar with the original field names or when the original field names are not descriptive or user-friendly.
D: Auto-Extracted fields can be added if they already exist in the dataset with constraints. This is true.
Auto-Extracted fields are based on fields that already exist in the data. When you define a dataset within a Data Model, you can apply constraints to narrow down the events that the dataset includes. The Auto-Extracted fields are then identified from this constrained dataset. This means that the fields must already be present in the data that meets the dataset's constraints to be available for auto-extraction.
In summary, Auto-Extracted fields in Splunk Data Models offer a flexible and efficient way to utilize existing data fields within Pivot tables, with options to rename them for clarity and hide unnecessary fields to streamline data analysis.
NEW QUESTION # 21
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