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| Section | Weight | Objectives |
|---|---|---|
| Creating and Using Macros | 10% | - Describe macros - Add and use arguments with a macro - Define arguments and variables for a macro - Create and use a basic macro |
| Correlating Events | 15% | - Group events using fields - Group events using fields and time - Identify transactions - Determine when to use transactions vs. stats - Search with transactions - Report on transactions |
| Using Transforming Commands for Visualizations | 5% | - Use the chart command - Use the timechart command |
| Creating Field Aliases and Calculated Fields | 10% | - Describe, create, and use field aliases - Describe, create, and use calculated fields |
| Creating Tags and Event Types | 10% | - Describe event types and their uses - Create an event type - Create and use tags |
| Using the Common Information Model (CIM) Add-On | 10% | - Describe the use of the CIM Add-On - Describe the Splunk CIM |
| Filtering and Formatting Results | 10% | - Use the search and where commands to filter results - The fillnull command - The eval command |
| Creating and Using Workflow Actions | 10% | - Create a POST workflow action - Create a Search workflow action - Describe the function of GET, POST, and Search workflow actions - Create a GET workflow action |
| 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% | - Create a data model - Describe the relationship between data models and pivot - Identify data model attributes |
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NEW QUESTION # 60
Which of the following searches will return events contains a tag name Privileged?
Answer: B
Explanation:
Reference:https://docs.splunk.com/Documentation/PCI/4.1.0/Install/PrivilegedUserActivity
A tag is a descriptive label that you can apply to one or more fields or field values in your events1. You can
use tags to simplify your searches by replacing long or complex field names or values with short and simple
tags1. To search for events that contain a tag name, you can use the tag keyword followed by an equal sign
and the tag name1. You can also use wildcards (*) to match partial tag names1. Therefore, option B is correct
because it will return events that contain a tag name that starts with Pri. Options A and D are incorrect because
they will only return events that contain an exact tag name match. Option C is incorrect because it will return
events that contain a tag name that starts with Priv, not Privileged.
NEW QUESTION # 61
Which of the following searches will return events containing a tag named Privileged?
Answer: A
Explanation:
The tag=Priv* search will return events containing a tag named Privileged, as well as any other tag that starts with Priv. The asterisk (*) is a wildcard character that matches zero or more characters. The other searches will not match the exact tag name.
NEW QUESTION # 62
A user wants to create a workflow action that will retrieve a specific field value from an event and run a search in a new browser window in the user's Splunk instance. What kind of workflow action should they create?
Answer: B
Explanation:
A Search workflow action is the appropriate choice when a user wants to retrieve a specific field value from an event and run a search in a new browser window within their Splunk instance (Option B). This type of workflow action allows users to define a search that utilizes field values from selected events as parameters, enabling more detailed investigation or context-specific analysis based on the original search results.
NEW QUESTION # 63
Which of the following is true about the Splunk Common Information Model (CIM)?
Answer: B
Explanation:
The Splunk Common Information Model (CIM) is an app that contains a set of predefined data models that apply a common structure and naming convention to data from any source. The CIM enables you to use data from different sources in a consistent and coherent way. The CIM contains 28 pre-configured datasets that cover various domains such as authentication, network traffic, web, email, etc. The data models included in the CIM are configured with data model acceleration turned on by default, which means that they are optimized for faster searches and analysis. Data model acceleration creates and maintains summary data for the data models, which reduces the amount of raw data that needs to be scanned when you run a search using a data model.
Splunk Core Certified Power User Track, page 10. : Splunk Documentation, About the Splunk Common Information Model.
NEW QUESTION # 64
Data model fields can be added using the Auto-Extracted method. Which of the following statements describe Auto-Extracted fields? (select all that apply)
Answer: A,C,D
Explanation:
Auto-Extracted fields in Splunk Data Models are derived directly from the indexed data based on the existing fields within the events. These fields are identified and extracted by Splunk automatically, without the need for explicit field extractions configured by the user. Understanding the characteristics of Auto-Extracted fields is crucial for effectively managing Data Models and utilizing them in Pivot tables for analysis.
A: Auto-Extracted fields can be hidden in Pivot. This is true. When building a Data Model, you have the option to hide certain fields from appearing in Pivot, making the Pivot table cleaner and more focused on the fields that are most relevant for analysis. This helps in reducing clutter and focusing on the data that matters most to the users.
B: Auto-Extracted fields can have their data type changed. This statement is not typically accurate for Auto-Extracted fields. The data type of an Auto-Extracted field is determined by Splunk based on the field's content in the indexed data. While you can assign a type to a field when you manually create a field in a data model, the inherent data type of Auto-Extracted fields is not something that is changed within the Data Model itself.
C: Auto-Extracted fields can be given a friendly name for use in Pivot. This is correct. Within Data Models, you can assign a more user-friendly, descriptive name to an Auto-Extracted field. This feature is particularly useful in making Data Models more intuitive and easier to use for those who may not be familiar with the original field names or when the original field names are not descriptive or user-friendly.
D: Auto-Extracted fields can be added if they already exist in the dataset with constraints. This is true.
Auto-Extracted fields are based on fields that already exist in the data. When you define a dataset within a Data Model, you can apply constraints to narrow down the events that the dataset includes. The Auto-Extracted fields are then identified from this constrained dataset. This means that the fields must already be present in the data that meets the dataset's constraints to be available for auto-extraction.
In summary, Auto-Extracted fields in Splunk Data Models offer a flexible and efficient way to utilize existing data fields within Pivot tables, with options to rename them for clarity and hide unnecessary fields to streamline data analysis.
NEW QUESTION # 65
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