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| Section | Weight | Objectives |
|---|---|---|
| Using the Common Information Model (CIM) Add-On | 5% | - Normalize data using CIM knowledge objects - Use CIM to standardize data across sources - Describe Splunk CIM purpose and structure |
| Filtering and Formatting Results | 15% | - Sort, rename, and limit results - Use search and where commands - Use fillnull, eval, and other formatting commands |
| Creating Data Models | 10% | - Understand data models and Pivot - Define data model objects and attributes - Create and use data models |
| Transforming Commands and Visualizations | 15% | - Create and customize visualizations - Use transforming commands to structure data - Format results for presentation |
| 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 |
| Creating and Using Field Aliases and Calculated Fields | 10% | - Create calculated fields with eval - Manage field extractions and aliases - Define and use field aliases |
| Correlating Events | 15% | - Group events by fields and time - Identify and use transactions - Compare transactions vs stats commands |
| Using Macros | 10% | - Add and use arguments in macros - Manage macro permissions and sharing - Create and reuse search macros |
| Creating and Using Workflow Actions | 10% | - Describe GET, POST, and Search workflow actions - Use workflow actions to extend searches - Create and configure workflow actions |
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NEW QUESTION # 24
Which of the following actions can the eval command perform?
Answer: A
NEW QUESTION # 25
In what order arc the following knowledge objects/configurations applied?
Answer: A
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 # 26
To identify all of the contributing events within a transaction that contains at least one REJECT event, which syntax is correct?
Answer: D
Explanation:
Explanation
The transaction command is used to group events that share a common value for one or more fields into transactions2. The transaction command assigns a transaction ID to each group of events and creates new fields such as duration, eventcount and eventlist for each transaction2. To identify all of the contributing events within a transaction that contains at least one REJECT event, you can use the following syntax: index=main | transaction sessionid | search REJECT2. This search will first group the events by sessionid, then filter out the transactions that do not contain REJECT in any of their events2. Therefore, option B is correct, while options A, C and D are incorrect because they do not follow the correct syntax for using the transaction command or the search command.
NEW QUESTION # 27
The Splunk search language supports the + wildcard.
Answer: A
NEW QUESTION # 28
When using the timechartcommand, how can a user group the events into buckets based on time?
Answer: C
Explanation:
Explanation/Reference:
NEW QUESTION # 29
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