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| Section | Weight | Objectives |
|---|---|---|
| Creating and Managing Fields | 10% | - Perform regex field extractions using the Field Extractor (FX) - Perform delimiter field extractions using the FX |
| Creating Tags and Event Types | 10% | - Describe event types and their uses - Create and use tags - Create an event type |
| 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 |
| 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 |
| Filtering and Formatting Results | 10% | - The fillnull command - The eval command - Use the search and where commands to filter results |
| Using the Common Information Model (CIM) Add-On | 10% | - Describe the use of the CIM Add-On - Describe the Splunk CIM |
| Using Transforming Commands for Visualizations | 5% | - Use the chart command - Use the timechart command |
| Creating Data Models | 10% | - Identify data model attributes - Describe the relationship between data models and pivot - Create a data model |
| Correlating Events | 15% | - Group events using fields and time - Determine when to use transactions vs. stats - Identify transactions - Group events using fields - Search with transactions - Report on transactions |
| Creating Field Aliases and Calculated Fields | 10% | - Describe, create, and use field aliases - Describe, create, and use calculated fields |
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NEW QUESTION # 156
Why would the transaction command be used instead of the stats command?
Answer: B
Explanation:
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."
NEW QUESTION # 157
Which command can include both an overand a byclause to divide results into sub-groupings?
Answer: B
Explanation:
Explanation/Reference: https://www.splunk.com/en_us/blog/tips-and-tricks/search-commands-stats-chart-and- timechart.html
NEW QUESTION # 158
The macro weekly_sales (2) contains the search string:
index=games | eval ProductSales = $Price$ * $AmountSold$
Which of the following will return results?
Answer: A
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:PriceandAmountSold. 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:1Use search macros in searches - Splunk Documentation2Define search macros in Settings - Splunk
Documentation
NEW QUESTION # 159
Given the following eval statement:
...| eval fieldl - if(isnotnull(fieldl),fieldl,0), field2 = if(isnull<field2>, "NO-VALUE", fieid2)
Which of the following is the equivalent using f ilinull?
Answer: C
Explanation:
The fillnull command replaces null values in one or more fields with a specified value. The values option
allows you to specify a comma-separated list of values to fill the null values in the corresponding fields. The
fields option allows you to specify a comma-separated list of fields to apply the fillnull command to. The eval
statement in the question uses the if and isnull functions to check if field1 and field2 have null values and
replace them with 0 and "NO-VALUE" respectively. The equivalent expression using fillnull is to use the
values option to specify 0 and "NO-VALUE" and the fields option to specify field1 and field22
1: Splunk Core Certified Power User Track, page 9. 2: Splunk Documentation, fillnull command.
NEW QUESTION # 160
Which of the following transforming commands can be used with transactions?
chart, timechart, stats, eventstats
chart, timechart, stats, diff
chart, timeehart, datamodel, pivot
chart, timecha:t, stats, pivot
Answer:
Explanation:
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.
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 # 161
......
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