Question # 1
How can hiding or showing a panel by clicking on a chart or a table on the same form be performed?
| A. By using vent drilldown.
| B. By using workflow action.
| C. By using contextual drilldown.
| D. By using visualization drilldown.
|
D. By using visualization drilldown.
Explanation:
By using visualization drilldown, you can hide or show a panel by clicking on a chart or a table on the same form. Visualization drilldown lets you define a drilldown action that affects a different panel on the same dashboard. You can use the set or unset tokens to control the visibility of the target panel. For more information, see Visualization drilldown.
Question # 2
Which items below are configured in inputs.conf? (Select all that apply.)
| A. A modular input written in Python.
| B. A file input monitoring a JSON file.
| C. A custom search command written in Python.
| D. An HTTP Event Collector as receiver of data from an app.
|
A. A modular input written in Python.
B. A file input monitoring a JSON file.
D. An HTTP Event Collector as receiver of data from an app.
Explanation:
The correct answer is A, B, and D, because they are all items that can be configured in inputs.conf. Inputs.conf is a configuration file that defines how Splunk ingests data from various sources, such as files, directories, network ports, scripts, or modular inputs. A modular input written in Python is a type of input that allows Splunk to ingest data from a custom source using a Python script. A file input monitoring a JSON file is a type of input that allows Splunk to monitor a file or directory for new or updated data in JSON format. An HTTP Event Collector as receiver of data from an app is a type of input that allows Splunk to receive data from an app via HTTP or HTTPS requests. A custom search command written in Python is not an item that can be configured in inputs.conf, but in commands.conf.
Question # 3
Which of the following search commands can be used to perform statistical queries on indexed fields in TSIDX files?
| A. stats
| B. tstats
| C. tscollect
| D. transaction
|
B. tstats
Explanation:
The correct answer is B, because the tstats command can be used to perform statistical queries on indexed fields in TSIDX files. TSIDX files are files that store the index data for Splunk, such as the events, timestamps, and fields. Indexed fields are fields that are extracted and stored in the TSIDX files at index time, which makes them faster to search than non-indexed fields. The tstats command is a search command that performs statistical calculations on indexed fields, such as count, sum, avg, and so on.
The tstats command is faster than the stats command, which performs statistical calculations on any fields, because it does not need to retrieve the events from the index, but only the fields from the TSIDX files. The other options are not search commands that can be used to perform statistical queries on indexed fields in TSIDX files. The stats command performs statistical calculations on any fields, not just indexed fields. The tscollect command collects the results of a transforming search and writes them to a TSIDX file. The transaction command groups events into transactions based on common values.
Question # 4
For a KV store, a lookup stanza in the transforms.conf file must contain which of the following? (Select all that apply.)
| A. Collection
| B. Fields_list
| C. External_type
| D. Internal_type
|
A. Collection
B. Fields_list
Explanation:The correct answer is A and B, because for a KV Store, a lookup stanza in the transforms.conf file must contain the collection and fields_list attributes. A lookup stanza is a configuration section in the transforms.conf file that defines the properties of a lookup, such as the lookup type, the lookup file or collection, the input and output fields, and the match type. A lookup is a feature that allows Splunk to enrich the events with additional data from an external source, such as a CSV file or a KV Store collection.
For a KV Store lookup, the lookup stanza must have the collection attribute, which specifies the name of the KV Store collection to use, and the fields_list attribute, which specifies the fields to return from the KV Store collection2. The external_type and internal_type attributes are not required for a KV Store lookup, but for a scripted lookup, which is a type of lookup that uses an external script to perform the lookup operation.
Question # 5
Which of the following are reserved field names in a KV Store? (Select all that apply.)
| A. _key
| B. _time
| C. _user
| D. _source
|
A. _key
C. _user
Explanation:
The reserved field names in a KV Store are _key and _user. The _key field is a unique identifier for each record in a KV Store collection, and the _user field is the owner of the record. The other fields are not reserved, and can be used as custom fields in a KV Store collection. For more information, see KV Store field names.
Question # 6
Using Splunk Web to modify config settings for a shared object, a revised config file with those changes is placed in which directory?
| A. $SPLUNK_HOME/etc/apps/myApp/local
| B. $SPLUNK_HOME/etc/system/default/
| C. $SPLUNK_HOME/etc/system/local
| D. $SPLUNK_HOME/etc/apps/myApp/default
|
A. $SPLUNK_HOME/etc/apps/myApp/local
Explanation: The correct answer is A because using Splunk Web to modify config settings for a shared object, a revised config file with those changes is placed in the $SPLUNK_HOME/etc/apps/myApp/local directory. The local directory is where Splunk stores the configuration files that are modified by the user, either through Splunk Web or by editing the files directly. The local directory has the highest priority in the configuration layering scheme, which means it overrides the settings in the default directory. The other options are incorrect because they either use the wrong directory or the wrong priority. You can find more information about the configuration files and the configuration layering scheme in the Splunk Developer Guide.
Question # 7
Which of the following log files contains logs that are most relevant to Splunk Web?
| A. audit.log
| B. metrics.log <br> | C. splunkd.log <br> | D. web_service.log <br> |
D. web_service.log <br>
Explanation:
The log file that contains logs that are most relevant to Splunk Web is web_service.log. This log file records information about the web server that runs Splunk Web, such as requests, responses, errors, and performance. The other log files contain logs that are related to other aspects of Splunk, such as audit.log for security events, metrics.log for performance metrics, and splunkd.log for Splunk daemon activity. For more information, see [About Splunk log files].
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