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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Workflow Actions | 10% | - Workflow action types
|
| Topic 2: Tags and Event Types | 10% | - Knowledge objects
|
| Topic 3: Correlating Events | 15% | - Event correlation techniques
|
| Topic 4: Macros | 10% | - Search macros
|
| Topic 5: Field Aliases and Calculated Fields | 10% | - Field enrichment
|
| Topic 6: Common Information Model (CIM) | 10% | - Data normalization
|
| Topic 7: Using Transforming Commands for Visualizations | 5% | - Visualization commands
|
| Topic 8: Data Models | 10% | - Data model concepts
|
| Topic 9: Filtering and Formatting Results | 10% | - Search and evaluation commands
|
| Topic 10: Creating and Managing Fields | 10% | - Field extraction methods
|
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NEW QUESTION # 217
The Field Extractor (FX) is used to extract a custom field. A report can be created using this custom field. The created report can then be shared with other people in the organization. If another person in the organization runs the shared report and no results are returned, why might this be? (select all that apply)
Answer: C,D
Explanation:
The Field Extractor (FX) is a tool that helps you extract fields from your events using a graphical interface2. You can create a report using a custom field extracted by the FX and share it with other users in your organization2. However, if another user runs the shared report and no results are returned, there could be two possible reasons. One reason is that the extraction is private, which means that only you can see and use the extracted field2. To make the extraction available to other users, you need to make it global or app-level2. Therefore, option C is correct. Another reason is that the other user does not have access to the index where the events are stored2. To fix this issue, you need to grant the appropriate permissions to the other user for the index2. Therefore, option D is correct. Options A and B are incorrect because they are not related to the field extraction or the report.
NEW QUESTION # 218
When creating a Search workflow action, which field is required?
Answer: D
Explanation:
Reference:
A workflow action is a link that appears when you click an event field value in your search results2. A workflow action can open a web page or run another search based on the field value2. There are two types of workflow actions: GET and POST2. A GET workflow action appends the field value to the end of a URI and opens it in a web browser2. A POST workflow action sends the field value as part of an HTTP request to a web server2. When creating a Search workflow action, which is a type of GET workflow action that runs another search based on the field value, the only required field is the search string2. The search string defines the search that will be run when the workflow action is clicked2. Therefore, option A is correct, while options B, C and D are incorrect because they are not required fields for creating a Search workflow action.
NEW QUESTION # 219
Data models are composed of one or more of which of the following datasets? (select all that apply)
Answer: A,B,D
Explanation:
Data model datasets have a hierarchical relationship with each other, meaning they have parent-child relationships. Data models can contain multiple dataset hierarchies. There are three types of dataset hierarchies: event, search, and transaction.
https://docs.splunk.com/Splexicon:Datamodeldataset
NEW QUESTION # 220
When using the Field Extractor (FX), which of the following delimiters will work? (Choose all that apply.)
Answer: A,C
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/FXSelectMethodstep
NEW QUESTION # 221
__________ datasets can be added to root dataset to narrow down the search
Answer: C
Explanation:
Child datasets can be added to root datasets to narrow down the search. Datasets are collections of events that
represent your data in a structured and hierarchical way. Datasets can be created by using commands such as
datamodel or pivot. Datasets can have different types, such as events, search, transaction, etc. Datasets can
also have different levels, such as root or child. Root datasets are base datasets that contain all events from a
data model or an index. Child datasets are derived datasets that contain a subset of events from a parent dataset
based on some constraints, such as search terms, fields, time range, etc. Child datasets can be added to root
datasets to narrow down the search and filter out irrelevant events.
NEW QUESTION # 222
......
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