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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Creating Data Models | 10% | - Create and use data models - Understand data models and Pivot - Define data model objects and attributes |
| Topic 2: Filtering and Formatting Results | 15% | - Use search and where commands - Use fillnull, eval, and other formatting commands - Sort, rename, and limit results |
| Topic 3: Correlating Events | 15% | - Group events by fields and time - Identify and use transactions - Compare transactions vs stats commands |
| Topic 4: 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 |
| Topic 5: Using the Common Information Model (CIM) Add-On | 5% | - Describe Splunk CIM purpose and structure - Normalize data using CIM knowledge objects - Use CIM to standardize data across sources |
| Topic 6: Transforming Commands and Visualizations | 15% | - Format results for presentation - Use transforming commands to structure data - Create and customize visualizations |
| Topic 7: Using Macros | 10% | - Create and reuse search macros - Add and use arguments in macros - Manage macro permissions and sharing |
| Topic 8: Creating and Using Field Aliases and Calculated Fields | 10% | - Manage field extractions and aliases - Define and use field aliases - Create calculated fields with eval |
| Topic 9: Creating and Using Workflow Actions | 10% | - Describe GET, POST, and Search workflow actions - Create and configure workflow actions - Use workflow actions to extend searches |
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NEW QUESTION # 119
Which function should you use with the transaction command to set the maximum total time between the
earliest and latest events returned?
Answer: B
NEW QUESTION # 120
When does the CIM add-on apply preconfigured data models to the data?
Answer: D
Explanation:
The Common Information Model (CIM) add-on in Splunk applies preconfigured data models to data at search time. This means that when a search is executed, the CIM add-on uses its predefined data models to normalize and map the relevant data to a common format. This approach ensures that data is interpreted and analyzed consistently across various datasets without modifying the data at index time.
References:
* Splunk Docs: About the Common Information Model
* Splunk Answers: CIM Add-on Data Models
NEW QUESTION # 121
What is the correct syntax to search for a tag associated with a value on a specific fields?
Answer: B
Explanation:
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/TagandaliasfieldvaluesinSplunkWe
A tag is a descriptive label that you can apply to one or more fields or field values in your events2. You can
use tags to simplify your searches by replacing long or complex field names or values with short and simple
tags2. To search for a tag associated with a value on a specific field, you can use the following
syntax: tag::<field>=<tagname>2. For example, tag::status=error will search for events where the status field
has a tag named error. Therefore, option D is correct, while options A, B and C are incorrect because they do
not follow the correct syntax for searching tags.
NEW QUESTION # 122
What does the Splunk Common Information Model (CIM) add-on include? (select all that apply)
Answer: B,D
Explanation:
Explanation
The Splunk Common Information Model (CIM) add-on is a collection of pre-built data models and knowledge objects that help you normalize your data from different sources and make it easier to analyze and report on it3. The CIM add-on includes pre-configured data models that cover various domains such as Alerts, Email, Database, Network Traffic, Web and more3. Therefore, option B is correct. The CIM add-on also includes fields and event category tags that define the common attributes and labels for the data models3. Therefore, option C is correct. The CIM add-on does not include custom visualizations or automatic data model acceleration. Therefore, options A and D are incorrect.
NEW QUESTION # 123
Which field extraction method should be selected for comma-separated data?
Answer: C
Explanation:
The correct answer is B. Delimiters. This is because the delimiters method is designed for structured event data, such as data from files with headers, where all of the fields in the events are separated by a common delimiter, such as a comma or space. You can select a sample event, identify the delimiter, and then rename the fields that the field extractor finds. You can learn more about the delimiters method from the Splunk documentation1. The other options are incorrect because they are not suitable for comma-separated data. The regular expression method works best with unstructured event data, where you select and highlight one or more fields to extract from a sample event, and the field extractor generates a regular expression that matches similar events and extracts the fields from them. The eval expression is a command that lets you calculate new fields or modify existing fields using arithmetic, string, and logical operations. The table extraction is a feature that lets you extract tabular data from PDF files or web pages. You can learn more about these methods from the Splunk documentation23 .
NEW QUESTION # 124
......
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