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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Transforming Commands and Visualizations | 15% | - Use transforming commands to structure data - Create and customize visualizations - Format results for presentation |
| Topic 2: Using the Common Information Model (CIM) Add-On | 5% | - Describe Splunk CIM purpose and structure - Use CIM to standardize data across sources - Normalize data using CIM knowledge objects |
| Topic 3: Filtering and Formatting Results | 15% | - Use fillnull, eval, and other formatting commands - Sort, rename, and limit results - Use search and where commands |
| Topic 4: Creating and Using Field Aliases and Calculated Fields | 10% | - Create calculated fields with eval - Manage field extractions and aliases - Define and use field aliases |
| Topic 5: Correlating Events | 15% | - Compare transactions vs stats commands - Group events by fields and time - Identify and use transactions |
| Topic 6: Creating and Using Workflow Actions | 10% | - Create and configure workflow actions - Describe GET, POST, and Search workflow actions - Use workflow actions to extend searches |
| Topic 7: Creating Data Models | 10% | - Understand data models and Pivot - Define data model objects and attributes - Create and use data models |
| Topic 8: Using Macros | 10% | - Manage macro permissions and sharing - Add and use arguments in macros - Create and reuse search macros |
| Topic 9: Creating Tags and Event Types | 10% | - Create and apply tags to fields or values - Define event types to categorize events - Use tags and event types in searches |
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232. Frage
Data model are composed of one or more of which of the following datasets? (select all that apply.)
Antwort: A,B,C
Begründung:
Reference:
Data models are collections of datasets that represent your data in a structured and hierarchical way. Data models define how your data is organized into objects and fields. Data models can be composed of one or more of the following datasets:
Events datasets: These are the base datasets that represent raw events in Splunk. Events datasets can be filtered by constraints, such as search terms, sourcetypes, indexes, etc.
Search datasets: These are derived datasets that represent the results of a search on events or other datasets. Search datasets can use any search command, such as stats, eval, rex, etc., to transform the data.
Transaction datasets: These are derived datasets that represent groups of events that are related by fields, time, or both. Transaction datasets can use the transaction command or event types with transactiontype=true to create transactions.
233. Frage
Which of the following statements describes the use of the Field Extractor (FX)?
Antwort: C
Begründung:
Explanation
234. Frage
Which of the following transforming commands can be used with transactions?
Antwort: B
Begründung:
The correct answer is A. chart, timechart, stats, eventstats.
Transforming commands are commands that change the format of the search results into a table or a
chart.They can be used to perform statistical calculations, create visualizations, or manipulate data in various
ways1.
Transactions are groups of events that share some common values and are related in some way.Transactions
can be defined by using the transaction command or by creating a transaction type in the transactiontypes.conf
file2.
Some transforming commands can be used with transactions to create tables or charts based on the transaction
fields. These commands include:
chart: This command creates a table or a chart that shows the relationship between two or more fields.It
can be used to aggregate values, count occurrences, or calculate statistics3.
timechart: This command creates a table or a chart that shows how a field changes over time.It can be
used to plot trends, patterns, or outliers4.
stats: This command calculates 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 fields5.
eventstats: This command calculates summary statistics on the fields in the search results, similar to
stats, but it also adds the results to each event as new fields. It can be used to compare events with the
overall statistics.
These commands can be applied to transactions by using the transaction fields as arguments. For example, if
you have a transaction type named "login" that groups events based on the user field and has fields such as
duration and eventcount, you can use the following commands with transactions:
| chart count by user: This command creates a table or a chart that shows how many transactions each
user has.
| timechart span=1h avg(duration) by user: This command creates a table or a chart that shows the
average duration of transactions for each user per hour.
| stats sum(eventcount) as total_events by user: This command creates a table that shows the total
number of events for each user across all transactions.
| eventstats avg(duration) as avg_duration: This command adds a new field named avg_duration to each
transaction that shows the average duration of all transactions.
The other options are not valid because they include commands that are not transforming commands or cannot
be used with transactions. These commands are:
diff: This command compares two search results and shows the differences between them. It is not a
transforming command and it does not work with transactions.
datamodel: This command retrieves data from a data model, which is a way to organize and categorize
data in Splunk. It is not a transforming command and it does not work with transactions.
pivot: This command creates a pivot report, which is a way to analyze data from a data model using a
graphical interface. It is not a transforming command and it does not work with transactions.
References:
About transforming commands
About transactions
chart command overview
timechart command overview
stats command overview
[eventstats command overview]
[diff command overview]
[datamodel command overview]
[pivot command overview]
235. Frage
Based on the macro definition shown below, what is the correct way to execute the macro in a search string?
Antwort: C
Begründung:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Usesearchmacros
236. Frage
Which of the following is the correct way to use the data model command to search field in the data model
within the web dataset?
Antwort: D
Begründung:
The data model command allows you to run searches on data models that have been accelerated1. The syntax
for using the data model command is | datamodel <model_name> <dataset_name> [search <search_string>]1.
Therefore, option A is the correct way to use the data model command to search fields in the data model
within the web dataset. Options B and C are incorrect because they do not follow the syntax for the data model
command. Option D is incorrect because it does not use the data model command at all.
237. Frage
......
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