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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Models | 10% | - Data model concepts
|
| Topic 2: Filtering and Formatting Results | 10% | - Search and evaluation commands
|
| Topic 3: Field Aliases and Calculated Fields | 10% | - Field enrichment
|
| Topic 4: Common Information Model (CIM) | 10% | - Data normalization
|
| Topic 5: Correlating Events | 15% | - Event correlation techniques
|
| Topic 6: Creating and Managing Fields | 10% | - Field extraction methods
|
| Topic 7: Workflow Actions | 10% | - Workflow action types
|
| Topic 8: Using Transforming Commands for Visualizations | 5% | - Visualization commands
|
| Topic 9: Tags and Event Types | 10% | - Knowledge objects
|
| Topic 10: Macros | 10% | - Search macros
|
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NEW QUESTION # 279
Which of the following statements about tags is true? (select all that apply.)
Answer: C,D
Explanation:
The following statements about tags are true: tags are based on field/value pairs and tags categorize events based on a search. Tags are custom labels that can be applied to fields or field values to provide additional context or meaning for your data. Tags can be used to filter or analyze your data based on common concepts or themes. Tags can be created by using various methods, such as search commands, configuration files, user interfaces, etc. Some of the characteristics of tags are:
* Tags are based on field/value pairs: This means that tags are associated with a specific field name and a specific field value. For example, you can create a tag called "alert" for the field name "status" and the field value "critical". This means that only events that have status=critical will have the "alert" tag applied to them.
* Tags categorize events based on a search: This means that tags are defined by a search string that matches the events that you want to tag. For example, you can create a tag called "web" for the search
* string sourcetype=access_combined. This means that only events that match the search string sourcetype=access_combined will have the "web" tag applied to them.
The following statements about tags are false: tags are case-insensitive and tags are designed to make data more understandable. Tags are case-sensitive and tags are designed to make data more searchable. Tags are case-sensitive: This means that tags must match the exact case of the field name and field value that they are associated with. For example, if you create a tag called "alert" for the field name "status" and the field value
"critical", it will not apply to events that have status=CRITICAL or Status=critical. Tags are designed to make data more searchable: This means that tags can help you find relevant events or patterns in your data by using common concepts or themes. For example, if you create a tag called "web" for the search string sourcetype=access_combined, you can use tag=web to find all events related to web activity.
NEW QUESTION # 280
Which of the following searches would create a graph similar to the one below?
index=_internal sourcetype=SavedSplunker | fields sourcetype, status |
Answer: D
Explanation:
None of these functions related to the graph in exhibit. All of these functions have maxspan=ld which is not a valid argument.
NEW QUESTION # 281
The macro weekly_sales (2) contains the search string:
index=games | eval ProductSales = $Price$ * $AmountSold$
Which of the following will return results?
Answer: B
Explanation:
To use a search macro in a search string, you need to place a back tick character (`) before and after the macro name1. You also need to use the same number of arguments as defined in the macro2. The macro weekly sales (2) has two arguments: Price and AmountSold. Therefore, you need to provide two values for these arguments when you call the macro.
The option A is incorrect because it uses parentheses instead of back ticks around the macro name. The option B is incorrect because it uses underscores instead of spaces in the macro name. The option D is incorrect because it uses spaces instead of commas to separate the argument values.
Reference: 1 Use search macros in searches - Splunk Documentation 2 Define search macros in Settings - Splunk Documentation
NEW QUESTION # 282
Which search retrieves events with the event type web_errors?
Answer: A
Explanation:
Explanation
The correct answer is B. eventtype=web_errors.
An event type is a way to categorize events based on a search. An event type assigns a label to events that match a specific search criteria. Event types can be used to filter and group events, create alerts, or generate reports1.
To search for events that have a specific event type, you need to use the eventtype field with the name of the event type as the value. The syntax for this is:
eventtype=<event_type_name>
For example, if you want to search for events that have the event type web_errors, you can use the following syntax:
eventtype=web_errors
This will return only the events that match the search criteria defined by the web_errors event type.
The other options are not correct because they use different syntax or fields that are not related to event types.
These options are:
A: tag=web_errors: This option uses the tag field, which is a way to add descriptive keywords to events based on field values. Tags are different from event types, although they can be used together. Tags can be used to filter and group events by common characteristics2.
C: eventtype "web errors": This option uses quotation marks around the event type name, which is not valid syntax for the eventtype field. Quotation marks are used to enclose phrases or exact matches in a search3.
D: eventtype (web_errors): This option uses parentheses around the event type name, which is also not valid syntax for the eventtype field. Parentheses are used to group expressions or terms in a search3.
References:
About event types
About tags
Search command cheatsheet
NEW QUESTION # 283
In the Field Extractor Utility, this button will display events that do not contain extracted fields.
Select your answer.
Answer: A
NEW QUESTION # 284
......
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