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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Models | 10% | - Data model concepts
|
| Topic 2: Creating and Managing Fields | 10% | - Field extraction methods
|
| Topic 3: Using Transforming Commands for Visualizations | 5% | - Visualization commands
|
| Topic 4: Common Information Model (CIM) | 10% | - Data normalization
|
| Topic 5: Field Aliases and Calculated Fields | 10% | - Field enrichment
|
| Topic 6: Workflow Actions | 10% | - Workflow action types
|
| Topic 7: Correlating Events | 15% | - Event correlation techniques
|
| Topic 8: Filtering and Formatting Results | 10% | - Search and evaluation commands
|
| Topic 9: Tags and Event Types | 10% | - Knowledge objects
|
| Topic 10: Macros | 10% | - Search macros
|
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52. Frage
Which method in the Field Extractor would extract the port number from the following event? |
10/20/2022 - 125.24.20.1 ++++ port 54 - user: admin <web error>
Antwort: C
Begründung:
The rex command allows you to extract fields from events using regular expressions. You can use the rex
command to specify a named group that matches the port number in the event. For example:
rex "\+\+\+\+port (?<port>\d+)"
This will create a field called port with the value 54 for the event.
The delimiter method is not suitable for this event because there is no consistent delimiter between the fields.
The regular expression method is not a valid option for the Field Extractor tool. The Field Extractor tool can
extract regular expressions, but it is not a method by itself.
Reference: 1 Splunk Core Certified Power User | Splunk
53. Frage
Why would the transaction command be used instead of the stats command?
Antwort: A
Begründung:
The transaction command retains the raw events grouped together, preserving all details of each event within the transaction. In contrast, the stats command aggregates data and often discards raw event data, which is not suitable when full event context is needed.
Reference:
Splunk Power User Study Guide, Search Commands
Splunk Docs: transaction vs stats
"transaction keeps raw event data intact for grouped events, unlike stats which aggregates and summarizes."
54. Frage
Two separate results tables are being combined using the |join command. The outer table has the following values:
Refer to following Tables
The line of SPL used to join the tables is: | join employeeNumber type=outer How many rows are returned in the new table?
Antwort: A
Begründung:
When performing an outer join in Splunk using the | join employeeNumber type=outer command, it combines the rows from both tables based on the employeeNumber field. An outer join returns all rows from both tables, with matching rowsfrom both sides where available. If there is no match, the result is NULL on the side of the join where there is no match.
In the provided tables, there are five rows in the first table and three in the second. Since it's an outer join, all rows from both tables will be returned. This means the new table will have a total of eight rows, combining the matched rows and the unmatched rows from both tables.
References:
Splunk Documentation on the join command.
Splunk Community discussions on the usage of join and types of joins.
55. Frage
Which delimiters can the Field Extractor (FX) detect? (select all that apply)
Antwort: A,B,D
Begründung:
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/FXSelectMethodstep
The Field Extractor (FX) is a tool that helps you extract fields from your data using delimiters or regular
expressions. Delimiters are characters or strings that separate fields in your data. The FX can detect some
common delimiters automatically, such as pipes (|), spaces ( ), commas (,), semicolons (;), etc. The FX cannot
detect tabs (\t) as delimiters automatically, but you can specify them manually in the FX interface.
56. Frage
A calculated field is a shortcut for performing repetitive, long, or complex transformations using which of the following commands?
Antwort: B
Begründung:
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]
57. Frage
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