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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Creating Tags and Event Types | 10% | - Describe event types and their uses - Create and use tags - Create an event type |
| Topic 2: 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 3: Creating Data Models | 10% | - Describe the relationship between data models and pivot - Create a data model - Identify data model attributes |
| Topic 4: Creating and Managing Fields | 10% | - Perform regex field extractions using the Field Extractor (FX) - Perform delimiter field extractions using the FX |
| Topic 5: Filtering and Formatting Results | 10% | - The eval command - The fillnull command - Use the search and where commands to filter results |
| Topic 6: Using the Common Information Model (CIM) Add-On | 10% | - Describe the use of the CIM Add-On - Describe the Splunk CIM |
| Topic 7: Correlating Events | 15% | - Search with transactions - Identify transactions - Group events using fields and time - Determine when to use transactions vs. stats - Group events using fields - Report on transactions |
| Topic 8: Using Transforming Commands for Visualizations | 5% | - Use the timechart command - Use the chart command |
| Topic 9: Creating and Using Macros | 10% | - Create and use a basic macro - Add and use arguments with a macro - Describe macros - Define arguments and variables for a macro |
| Topic 10: Creating Field Aliases and Calculated Fields | 10% | - Describe, create, and use field aliases - Describe, create, and use calculated fields |
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질문 # 105
Which of the following transforming commands can be used with transactions?
정답:D
설명:
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]
질문 # 106
A field alias is created where field1-fieid2 and the Overwrite Field Values checkbox is selected.
What happens if an event only contains values for fieid1?
정답:A
설명:
The correct answer is D. field2 values are replaced with the value of the field1.
A field alias is a way to associate an additional (new) name with an existing field name. A field alias can be used to normalize fields from different sources that have different names but represent the same data. Field aliases can also be used to rename fields for clarity or convenience1.
When you create a field alias in Splunk Web, you can select the Overwrite Field Values option to change the behavior of the field alias. This option affects how the Splunk software handles situations where the original field has no value or does not exist, as well as situations where the alias field already exists as a field in your events, alongside the original field2.
If you select the Overwrite Field Values option, the following rules apply:
If the original field does not exist or has no value in an event, the alias field is removed from that event.
If the original field and the alias field both exist in an event, the value of the alias field is replaced with the value of the original field.
If you do not select the Overwrite Field Values option, the following rules apply:
If the original field does not exist or has no value in an event, the alias field is unchanged in that event.
If the original field and the alias field both exist in an event, both fields are retained with their respective values.
Therefore, if you create a field alias where field1-field2 and select the Overwrite Field Values option, and an event only contains values for field1, then the value of field2 will be replaced with the value of field1.
Reference:
About calculated fields
About field aliases
Create field aliases in Splunk Web
질문 # 107
Scheduled alerts must be scheduled to run with cron job syntax only.
정답:B
질문 # 108
which of the following commands are used when creating visualizations(select all that apply.)
정답:B,C,D
설명:
The following commands are used when creating visualizations: geom, geostats, and iplocation.
Visualizations are graphical representations of data that show trends, patterns, or comparisons. Visualizations can have different types, such as charts, tables, maps, etc. Visualizations can be created by using various commands that transform the data into a suitable format for the visualization type. Some of the commands that are used when creating visualizations are:
* geom: This command is used to create choropleth maps that show geographic regions with different colors based on some metric. The geom command takes a KMZ file as an argument that defines the geographic regions and their boundaries. The geom command also takes a field name as an argument that specifies the metric to use for coloring the regions.
* geostats: This command is used to create cluster maps that show groups of events with different sizes and colors based on some metric. The geostats command takes a latitude and longitude field as arguments that specify the location of the events. The geostats command also takes a statistical function as an argument that specifies the metric to use for sizing and coloring the clusters.
* iplocation: This command is used to create location-based visualizations that show events with different attributes based on their IP addresses. The iplocation command takes an IP address field as an argument and adds some additional fields to the events, such as Country, City, Latitude, Longitude, etc. The iplocation command can be used with other commands such as geom or geostats to create maps based on IP addresses.
질문 # 109
You can not specify a relative time range, such as 45 seconds ago, for a search.
정답:B
질문 # 110
......
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