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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Creating Data Models | 10% | - Identify data model attributes - Create a data model - Describe the relationship between data models and pivot |
| Topic 2: Creating Field Aliases and Calculated Fields | 10% | - Describe, create, and use field aliases - Describe, create, and use calculated fields |
| Topic 3: Creating Tags and Event Types | 10% | - Create and use tags - Describe event types and their uses - Create an event type |
| Topic 4: Correlating Events | 15% | - Group events using fields - Search with transactions - Determine when to use transactions vs. stats - Group events using fields and time - Identify transactions - Report on transactions |
| Topic 5: Using Transforming Commands for Visualizations | 5% | - Use the timechart command - Use the chart command |
| Topic 6: Creating and Using Macros | 10% | - Add and use arguments with a macro - Create and use a basic macro - Define arguments and variables for a macro - Describe macros |
| Topic 7: Creating and Managing Fields | 10% | - Perform delimiter field extractions using the FX - Perform regex field extractions using the Field Extractor (FX) |
| Topic 8: Creating and Using Workflow Actions | 10% | - Create a Search workflow action - Create a GET workflow action - Describe the function of GET, POST, and Search workflow actions - Create a POST workflow action |
| Topic 9: Using the Common Information Model (CIM) Add-On | 10% | - Describe the Splunk CIM - Describe the use of the CIM Add-On |
| Topic 10: Filtering and Formatting Results | 10% | - The fillnull command - The eval command - Use the search and where commands to filter results |
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NEW QUESTION # 36
What is a limitation of searches generated by workflow actions?
Answer: C
NEW QUESTION # 37
Which of the following is one of the pre-configured data models included in the Splunk Common Information
Model (CIM) add-on?
Answer: C
NEW QUESTION # 38
Which of the following transforming commands can be used with transactions?
Answer: D
Explanation:
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.
Explanation:
The correct answer is
Reference:
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]
NEW QUESTION # 39
Which workflow uses field values to perform a secondary search?
Answer: B
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/CreateworkflowactionsinSplunkWeb
NEW QUESTION # 40
Calculated fields can be based on which of the following?
Answer: B
Explanation:
Explanation
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/definecalcfields
NEW QUESTION # 41
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