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| Section | Weight | Objectives |
|---|---|---|
| Creating Tags and Event Types | 10% | - Use tags and event types in searches - Create and apply tags to fields or values - Define event types to categorize events |
| Filtering and Formatting Results | 15% | - Use search and where commands - Sort, rename, and limit results - Use fillnull, eval, and other formatting commands |
| Correlating Events | 15% | - Identify and use transactions - Group events by fields and time - Compare transactions vs stats commands |
| Creating and Using Workflow Actions | 10% | - Create and configure workflow actions - Use workflow actions to extend searches - Describe GET, POST, and Search workflow actions |
| Creating Data Models | 10% | - Create and use data models - Understand data models and Pivot - Define data model objects and attributes |
| Using Macros | 10% | - Add and use arguments in macros - Manage macro permissions and sharing - Create and reuse search macros |
| Using the Common Information Model (CIM) Add-On | 5% | - Use CIM to standardize data across sources - Describe Splunk CIM purpose and structure - Normalize data using CIM knowledge objects |
| Transforming Commands and Visualizations | 15% | - Create and customize visualizations - Use transforming commands to structure data - Format results for presentation |
| Creating and Using Field Aliases and Calculated Fields | 10% | - Define and use field aliases - Create calculated fields with eval - Manage field extractions and aliases |
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NEW QUESTION # 220
In what order arc the following knowledge objects/configurations applied?
Answer: B
Explanation:
Reference:
Knowledge objects are entities that you create to add knowledge to your data and make it easier to search and analyze2. Some examples of knowledge objects are field extractions, field aliases and lookups2. Field extractions are methods that extract fields from your raw data using various techniques such as regular expressions, delimiters or key-value pairs2. Field aliases are ways to assign alternative names to existing fields without changing the original field names or values2. Lookups are ways to enrich your data with additional information from external sources such as CSV files or databases2. The order in which these knowledge objects/configurations are applied is as follows: field extractions, field aliases and then lookups2. This means that Splunk first extracts fields from your raw data, then applies any aliases to the extracted fields and then performs any lookups on the aliased fields2. Therefore, option B is correct, while options A, C and D are incorrect.
NEW QUESTION # 221
Which of the following statements describes this search?
sourcetype=access_combined I transaction JSESSIONID | timechart avg (duration)
Answer: A
Explanation:
This search uses the transaction command to group events that share a common value for JSESSIONID into
transactions1. The transaction command assigns a duration field to each transaction, which is the difference
between the latest and earliest timestamps of the events in the transaction1. The search then uses the timechart
command to create a time-series chart of the average duration of each transaction1. Therefore, option A is
correct because it describes the search accurately. Option B is incorrect because the search does not use the
stats command or the pause field. Option C is incorrect because the transaction command does not require the
startswith and endswith options, although they can be used to specify how to identify the beginning and end of
a transaction1. Option D is incorrect because the transaction command does not have to be the last command
in the search pipeline, although it is often used near the end of a search1.
NEW QUESTION # 222
36. Lookups can be private for a user.
Answer: B
NEW QUESTION # 223
Which field extraction method should be selected for comma-separated data?
Answer: A
Explanation:
The correct answer is B. Delimiters. This is because the delimiters method is designed for structured event
data, such as data from files with headers, where all of the fields in the events are separated by a common
delimiter, such as a comma or space. You can select a sample event, identify the delimiter, and then rename
the fields that the field extractor finds.You can learn more about the delimiters method from the Splunk
documentation1. The other options are incorrect because they are not suitable for comma-separated data. The
regular expression method works best with unstructured event data, where you select and highlight one or
more fields to extract from a sample event, and the field extractor generates a regular expression that matches
similar events and extracts the fields from them. The eval expression is a command that lets you calculate new
fields or modify existing fields using arithmetic, string, and logical operations. The table extraction is a feature
that lets you extract tabular data from PDF files or web pages.You can learn more about these methods from
the Splunk documentation23.
NEW QUESTION # 224
Which of the following searches would create a graph similar to the one below?
Answer: D
NEW QUESTION # 225
......
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