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| Section | Weight | Objectives |
|---|---|---|
| Correlating Events | 15% | - Group events using fields - Determine when to use transactions vs. stats - Search with transactions - Report on transactions - Group events using fields and time - Identify transactions |
| Creating and Using Macros | 10% | - Create and use a basic macro - Describe macros - Add and use arguments with a macro - Define arguments and variables for a macro |
| Creating and Managing Fields | 10% | - Perform regex field extractions using the Field Extractor (FX) - Perform delimiter field extractions using the FX |
| 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% | - Create an event type - Describe event types and their uses - Create and use tags |
| Filtering and Formatting Results | 10% | - Use the search and where commands to filter results - The eval command - The fillnull command |
| Using the Common Information Model (CIM) Add-On | 10% | - Describe the Splunk CIM - Describe the use of the CIM Add-On |
| Creating Data Models | 10% | - Identify data model attributes - Create a data model - Describe the relationship between data models and pivot |
| 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 |
| Using Transforming Commands for Visualizations | 5% | - Use the timechart command - Use the chart command |
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NEW QUESTION # 62
What is required for a macro to accept three arguments?
Answer: D
NEW QUESTION # 63
Which of the following statements describe data model acceleration? (select all that apply)
Answer: A,B,D
Explanation:
Data model acceleration is a feature that speeds up searches on data models by creating and storing summaries of the data model datasets1. To enable data model acceleration, you must have administrative permissions or the accelerate_datamodel capability1. Therefore, option D is correct. Accelerated data models cannot be edited unless you disable the acceleration first1. Therefore, option B is correct. Private data models cannot be accelerated because they are not visible to other users1. Therefore, option C is correct. Root events can be accelerated as long as they are not based on a search string1. Therefore, option A is incorrect.
NEW QUESTION # 64
Complete the search, .... | _____ failure>successes
Answer: C
Explanation:
Any of the above
Explanation:
The where command can be used to complete the search below.
... | where failure>successes
The where command is a search command that allows you to filter events based on complex or custom criteri a. The where command can use any boolean expression or function to evaluate each event and determine whether to keep it or discard it. The where command can also compare fields or perform calculations on fields using operators such as >, <, =, +, -, etc. The where command can be used after any transforming command that creates a table or a chart.
The search string below does the following:
It uses ... to represent any search criteria or commands before the where command.
It uses the where command to filter events based on a comparison between two fields: failure and successes.
It uses the greater than operator (>) to compare the values of failure and successes fields for each event.
It only keeps events where failure is greater than successes.
NEW QUESTION # 65
What are the expected results for a search that contains the command | where A=B?
Answer: D
Explanation:
The correct answer is C. Events where values of field A are equal to values of field B.
The where command is used to filter the search results based on an expression that evaluates to true or false.
The where command can compare two fields, two values, or a field and a value.The where command can also
use functions, operators, and wildcards to create complex expressions1.
The syntax for the where command is:
| where <expression>
The expression can be a comparison, a calculation, a logical operation, or a combination of these. The
expression must evaluate to true or false for each event.
To compare two fields with the where command, you need to use the field names without any quotation
marks. For example, if you want to find events where the values for the field A match the values for the field
B, you can use the following syntax:
| where A=B
This will return only the events where the two fields have the same value.
The other options are not correct because they use different syntax or fields that are not related to the where
command. These options are:
A: Events that contain the string value where A=B: This option uses the string value where A=B as a
search term, which is not valid syntax for the where command. This option will return events that have
the literal text "where A=B" in them.
B: Events that contain the string value A=B: This option uses the string value A=B as a search term,
which is not valid syntax for the where command. This option will return events that have the literal text
"A=B" in them.
D: Events where field A contains the string value B: This option uses quotation marks around the value
B: which is not valid syntax for comparing fields with the where command.Quotation marks are used to
enclose phrases or exact matches in a search2. This option will return events where the field A contains
the string value "B".
References:
where command usage
Search command cheatsheet
NEW QUESTION # 66
A calculated field is a shortcut for performing repetitive, long, or complex transformations using which of the following commands?
Answer: D
Explanation:
The correct answer is D. eval.
A calculated field is a field that is added to events at search time by using an eval expression. A calculated field can use the values of two or more fields that are already present in the events to perform calculations. A calculated field can be defined with Splunk Web or in the props.conf file. They can be used in searches, reports, dashboards, and data models like any other extracted field1.
A calculated field is a shortcut for performing repetitive, long, or complex transformations using the eval command. The eval command is used to create or modify fields by using expressions. The eval command can perform mathematical, string, date and time, comparison, logical, and other operations on fields or values2.
For example, if you want to create a new field named total that is the sum of two fields named price and tax, you can use the eval command as follows:
| eval total=price+tax
However, if you want to use this new field in multiple searches, reports, or dashboards, you can create a calculated field instead of writing the eval command every time. To create a calculated field with Splunk Web, you need to go to Settings > Fields > Calculated Fields and enter the name of the new field (total), the name of the sourcetype (sales), and the eval expression (price+tax). This will create a calculated field named total that will be added to all events with the sourcetype sales at search time. You can then use the total field like any other extracted field without writing the eval expression1.
The other options are not correct because they are not related to calculated fields. These options are:
* A. transaction: This command is used to group events that share some common values into a single record, called a transaction. A transaction can span multiple events and multiple sources, and can be
* useful for correlating events that are related but not contiguous3.
* B. lookup: This command is used to enrich events with additional fields from an external source, such as a CSV file or a database. A lookup can add fields to events based on the values of existing fields, such as host, source, sourcetype, or any other extracted field.
* C. stats: This command is used to calculate summary statistics on the fields in the search results, such as count, sum, average, etc. It can be used to group and aggregate data by one or more fields.
References:
* About calculated fields
* eval command overview
* transaction command overview
* [lookup command overview]
* [stats command overview]
NEW QUESTION # 67
......
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