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| Section | Weight | Objectives |
|---|---|---|
| Using the Common Information Model (CIM) Add-On | 10% | - Describe the use of the CIM Add-On - Describe the Splunk CIM |
| Creating and Using Workflow Actions | 10% | - Create a Search workflow action - Create a GET workflow action - Create a POST workflow action - Describe the function of GET, POST, and Search workflow actions |
| Creating Tags and Event Types | 10% | - Describe event types and their uses - Create an event type - Create and use tags |
| Creating and Managing Fields | 10% | - Perform delimiter field extractions using the FX - Perform regex field extractions using the Field Extractor (FX) |
| Creating Data Models | 10% | - Identify data model attributes - Describe the relationship between data models and pivot - Create a data model |
| Correlating Events | 15% | - Search with transactions - Determine when to use transactions vs. stats - Group events using fields - Report on transactions - Group events using fields and time - Identify transactions |
| Creating and Using Macros | 10% | - Add and use arguments with a macro - Describe macros - Define arguments and variables for a macro - Create and use a basic macro |
| Using Transforming Commands for Visualizations | 5% | - Use the timechart command - Use the chart command |
| Filtering and Formatting Results | 10% | - The fillnull command - The eval command - Use the search and where commands to filter results |
| Creating Field Aliases and Calculated Fields | 10% | - Describe, create, and use field aliases - Describe, create, and use calculated fields |
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NEW QUESTION # 288
Which of the following statements about data models and pivot are true? (select all that apply)
Answer: A
Explanation:
Data models and pivot are both knowledge objects in Splunk that allow you to analyze and visualize your data in different ways. 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. Pivot is a user interface that allows you to create data visualizations that present different aspects of a data model. Pivot does not require users to input SPL searches on data models, but rather lets them select options from menus and forms. Data models are not created out of datasets called pivots, but rather pivots are created from datasets in data models.
NEW QUESTION # 289
Which is not a comparison operator in Splunk
Answer: C
Explanation:
A comparison operator is a symbol that compares two values and returns a Boolean result (true or
false)2. Splunk supports various comparison operators such as <, >, =, !=, <=, >=, IN and LIKE2. However,
?= is not a valid comparison operator in Splunk and will cause a syntax error if used in a search string2.
Therefore, option E is correct, while options A, B, C and D are incorrect because they are valid comparison
operators in Splunk
NEW QUESTION # 290
What are the two parts of a root event dataset?
Answer: C
Explanation:
Reference:
https://docs.splunk.com/Documentation/SplunkLight/7.3.5/GettingStarted/Designdatamodelobjects
NEW QUESTION # 291
Data model are composed of one or more of which of the following datasets? (select all that apply.)
Answer: B,C,D
NEW QUESTION # 292
Which option of the transaction command would be used to specify the maximum time between events in a transaction?
Answer: A
Explanation:
The maxpause option of the transaction command in Splunk is used to specify the maximum time allowed between events in a transaction. If the time between events exceeds the maxpause value, those events are not considered part of the same transaction.
Reference:
Splunk Docs: transaction command
Splunk Answers: maxpause option in transaction
NEW QUESTION # 293
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