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| Section | Weight | Objectives |
|---|---|---|
| Transforming Commands and Visualizations | 15% | - Format results for presentation - Use transforming commands to structure data - Create and customize visualizations |
| Creating and Using Workflow Actions | 10% | - Create and configure workflow actions - Describe GET, POST, and Search workflow actions - Use workflow actions to extend searches |
| Using Macros | 10% | - Create and reuse search macros - Add and use arguments in macros - Manage macro permissions and sharing |
| Filtering and Formatting Results | 15% | - Sort, rename, and limit results - Use search and where commands - Use fillnull, eval, and other formatting commands |
| Creating and Using Field Aliases and Calculated Fields | 10% | - Manage field extractions and aliases - Create calculated fields with eval - Define and use field aliases |
| Correlating Events | 15% | - Compare transactions vs stats commands - Group events by fields and time - Identify and use transactions |
| 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 |
| Creating Tags and Event Types | 10% | - Define event types to categorize events - Create and apply tags to fields or values - Use tags and event types in searches |
| Creating Data Models | 10% | - Create and use data models - Define data model objects and attributes - Understand data models and Pivot |
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質問 # 15
A macro has another macro nested within it, and this inner macro requires an argument. How can the user pass this argument into the SPL?
正解:A
解説:
The correct answer is D. An argument can be passed to the inner macro by nesting parentheses.
A search macro is a way to reuse a piece of SPL code in different searches. A search macro can take arguments, which are variables that can be replaced by different values when the macro is called. A search macro can also contain another search macro within it, which is called a nested macro. A nested macro can also take arguments, which can be passed from the outer macro or directly from the search string.
To pass an argument to the inner macro, you need to use parentheses to enclose the argument value and separate it from the outer macro argument. For example, if you have a search macro named outer_macro (1) that contains another search macro named inner_macro (2), and both macros take one argument each, you can pass an argument to the inner macro by using the following syntax:
outer_macro (argument1, inner_macro (argument2))
This will replace the argument1 and argument2 with the values you provide in the search string. For example, if you want to pass "foo" as the argument1 and "bar" as the argument2, you can write:
outer_macro ("foo", inner_macro ("bar"))
This will expand the macros with the corresponding arguments and run the SPL code contained in them.
References:
* Search macro examples
* Use search macros in searches
質問 # 16
The timechart command is an example of which of the following command types?
正解:B
解説:
Explanation
The correct answer is B. Transforming.
The explanation is as follows:
The timechart command is a Splunk command that creates a time series chart with corresponding table of statistics12.
A timechart is a statistical aggregation applied to a field to produce a chart, with time used as the X-axis1. You can specify a split-by field, where each distinct value of the split-by field becomes a series in the chart1.
Transforming commands are commands that change the format of the search results into a data structure that can be easily visualized3. Transforming commands often use stats functions to aggregate and summarize data3.
Therefore, the timechart command is an example of a transforming command, as it transforms the search results into a chart and a table using stats functions123.
質問 # 17
Which workflow action method can be used the action type is set to link?
正解:D
解説:
https://docs.splunk.com/Documentation/Splunk/8.0.2/Knowledge/SetupaGETworkflowaction Define a GET workflow action Steps
* Navigate to Settings > Fields > Workflow Actions.
* Click New to open up a new workflow action form.
* Define a Label for the action.
The Label field enables you to define the text that is displayed in either the field or event workflow menu. Labels can be static or include the value of relevant fields.
* Determine whether the workflow action applies to specific fields or event types in your data.
Use Apply only to the following fields to identify one or more fields. When you identify fields, the workflow action only appears for events that have those fields, either in their event menu or field menus. If you leave it blank or enter an asterisk the action appears in menus for all fields.
Use Apply only to the following event types to identify one or more event types. If you identify an event type, the workflow action only appears in the event menus for events that belong to the event type.
* For Show action in determine whether you want the action to appear in the Event menu, the Fields menus, or Both.
* Set Action type to link.
* In URI provide a URI for the location of the external resource that you want to send your field values to.
Similar to the Label setting, when you declare the value of a field, you use the name of the field enclosed by dollar signs.
Variables passed in GET actions via URIs are automatically URL encoded during transmission. This means you can include values that have spaces between words or punctuation characters.
* Under Open link in, determine whether the workflow action displays in the current window or if it opens the link in a new window.
* Set the Link method to get.
* Click Save to save your workflow action definition.
質問 # 18
In the Field Extractor, when would the regular expression method be used?
正解:A
解説:
Explanation
The correct answer is C. When events contain unstructured data.
The regular expression method works best with unstructured event data, such as log files or text messages, where the fields are not separated by a common delimiter, such as a comma or space1. You select a sample event and highlight one or more fields to extract from that event, and the field extractor generates a regular expression that matches similar events in your dataset and extracts the fields from them1. The regular expression method provides several tools for testing and refining the accuracy of the regular expression. It also allows you to manually edit the regular expression1.
The delimiters method is designed for structured event data: data from files with headers, where all of the fields in the events are separated by a common delimiter, such as a comma or space1. You select a sample event, identify the delimiter, and then rename the fields that the field extractor finds1. This method is simpler and faster than the regular expression method, but it may not work well with complex or irregular data formats1.
Reference:
1: Build field extractions with the field extractor - Splunk Documentation
質問 # 19
Data model fields can be added using the Auto-Extracted method. Which of the following statements describe Auto-Extracted fields? (select all that apply)
正解:A、C、D
質問 # 20
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