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| Section | Weight | Objectives |
|---|---|---|
| Using the Common Information Model (CIM) Add-On | 10% | - Describe the Splunk CIM - Describe the use of the CIM Add-On |
| Creating Data Models | 10% | - Identify data model attributes - Describe the relationship between data models and pivot - Create a data model |
| Creating and Using Workflow Actions | 10% | - Create a GET workflow action - Create a Search workflow action - Describe the function of GET, POST, and Search workflow actions - Create a POST workflow action |
| Creating and Managing Fields | 10% | - Perform regex field extractions using the Field Extractor (FX) - Perform delimiter field extractions using the FX |
| Creating Field Aliases and Calculated Fields | 10% | - Describe, create, and use calculated fields - Describe, create, and use field aliases |
| Filtering and Formatting Results | 10% | - The eval command - Use the search and where commands to filter results - The fillnull command |
| Creating and Using Macros | 10% | - Describe macros - Define arguments and variables for a macro - Create and use a basic macro - Add and use arguments with a macro |
| Creating Tags and Event Types | 10% | - Create and use tags - Describe event types and their uses - Create an event type |
| Using Transforming Commands for Visualizations | 5% | - Use the timechart command - Use the chart command |
| Correlating Events | 15% | - Search with transactions - Group events using fields - Report on transactions - Determine when to use transactions vs. stats - Identify transactions - Group events using fields and time |
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NEW QUESTION # 26
Which of the following searches show a valid use of a macro? (Choose all that apply.) index=main source=mySource oldField=* |'makeMyField(oldField)'| table _time
Answer: A,D
Explanation:
Explanation/Reference: https://answers.splunk.com/answers/574643/field-showing-an-additional-and-not-visible-value-1.html
NEW QUESTION # 27
Which delimiters can the Field Extractor (FX) detect? (select all that apply)
Answer: A,B,C
Explanation:
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/FXSelectMethodstep
The Field Extractor (FX) is a tool that helps you extract fields from your data using delimiters or regular
expressions. Delimiters are characters or strings that separate fields in your data. The FX can detect some
common delimiters automatically, such as pipes (|), spaces ( ), commas (,), semicolons (;), etc. The FX cannot
detect tabs (\t) as delimiters automatically, but you can specify them manually in the FX interface.
NEW QUESTION # 28
There are several ways to access the field extractor. Which option automatically identifies data type, source type, and sample event?
Answer: B
Explanation:
There are several ways to access the field extractor. The option that automatically identifies data type, source type, and sample event is Fields sidebar > Extract New Field. The field extractor is a tool that helps you extract fields from your data using delimiters or regular expressions. The field extractor can generate a regex for you based on your selection of sample values or you can enter your own regex in the field extractor. The field extractor can be accessed by using various methods, such as:
Fields sidebar > Extract New Field: This is the easiest way to access the field extractor. The fields sidebar is a panel that shows all available fields for your data and their values. When you click on Extract New Field in the fields sidebar, Splunk will automatically identify the data type, source type, and sample event for your data based on your current search criteria. You can then use the field extractor to select sample values and generate a regex for your new field.
Event Actions > Extract Fields: This is another way to access the field extractor. Event actions are actions that you can perform on individual events in your search results, such as viewing event details, adding to report, adding to dashboard, etc. When you click on Extract Fields in the event actions menu, Splunk will use the current event as the sample event for your data and ask you to select the source type and data type for your data. You can then use the field extractor to select sample values and generate a regex for your new field.
Settings > Field Extractions > New Field Extraction: This is a more advanced way to access the field extractor. Settings is a menu that allows you to configure various aspects of Splunk, such as indexes, inputs, outputs, users, roles, apps, etc. When you click on New Field Extraction in the Settings menu, Splunk will ask you to enter all the details for your new field extraction manually, such as app context, name, source type, data type, sample event, regex, etc. You can then use the field extractor to verify or modify your regex for your new field.
NEW QUESTION # 29
Which of the following is NOT a stats function:
Answer: D
Explanation:
The stats command is used to calculate summary statistics for your search results such as count, sum, avg,
min, max and more2. The stats command supports various functions that you can use to perform calculations
on your fields2. However, addtotals is not a stats function but a separate command that adds a row or column
with the total of the values in each group2. Therefore, option B is correct, while options A, C and D are
incorrect because they are valid stats functions.
NEW QUESTION # 30
What is the correct order of steps for creating a new lookup?
1. Configure the lookup to run automatically
2. Create the lookup table
3. Define the lookup
Answer: C
NEW QUESTION # 31
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