Question # 1
Which Splunk REST endpoint is used to create a KV store collection?
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A. /storage/collections
| B. /storage/kvstore/create
| C. /storage/collections/config
| D. /storage/kvstore/collections
|
C. /storage/collections/config
Explanation:
The Splunk REST endpoint that is used to create a KV store collection is /storage/collections/config. This endpoint lets you create, update, or delete a KV store collection. The other endpoints are either invalid or used for different purposes. For more information, see Use the Splunk REST API to access the KV Store.
Question # 2
Which of the following statements describe an HEC token? (Select all that apply.)
|
A. Maps to a Splunk user.
| B. Can be used to download data.
| C. Is a GUID (globally unique identifier).
| D. Can be created in Splunk Web or using REST endpoints.
|
C. Is a GUID (globally unique identifier).
D. Can be created in Splunk Web or using REST endpoints.
Explanation:
The correct answer is C and D, because they are both statements that describe an HEC token. An HEC token is a unique identifier that is used to authenticate and authorize data sent to Splunk via the HTTP Event Collector (HEC). An HEC token is a GUID (globally unique identifier), which is a 32-character hexadecimal string that is randomly generated. An HEC token can be created in Splunk Web or using REST endpoints, depending on the preference of the user. An HEC token does not map to a Splunk user, but to a specific index or set of indexes where the data will be stored. An HEC token cannot be used to download data, but only to send data to Splunk.
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
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 # 5
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 # 6
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 # 7
What predefined drilldown tokens are available specifically for trellis layouts? (Select all that apply.)
|
A. trellis.Xaxis
| B. trellis.Yaxis
| C. trellis.name
| D. trellis.value
|
C. trellis.name
D. trellis.value
Explanation:
The correct answer is C and D, because trellis.name and trellis.value are the predefined drilldown tokens available specifically for trellis layouts. Trellis layouts are a way of displaying multiple charts in a grid, each with a different value of a split-by field. The trellis.name token returns the name of the split-by field, and the trellis.value token returns the value of the split-by field for the selected chart.
Question # 8
Which event handler uses the element to support pan and zoom functionality?
|
A. Visualization event handler
| B. Form input event handler
| C. Condition event handler
| D. Search event handler
|
A. Visualization event handler
Explanation:
The correct answer is A, because visualization event handler uses the element to support pan and zoom functionality. Visualization event handler is a type of event handler that enables you to interact with custom visualizations3. The element defines the behavior of the visualization when the user selects a region of the chart. It supports attributes such as pan and zoom4.
Question # 9
How can event logs be collected from a remote Windows machine using a standard Splunk
installation and no customization? (Select all that apply.)
|
A. By configuring a WMI input.
| B. By using HTTP event collector.
| C. By using a Windows heavy forwarder.
| D. By using a Windows universal forwarder.
|
A. By configuring a WMI input.
D. By using a Windows universal forwarder.
Explanation:
The correct answer is A and D, because configuring a WMI input and using a Windows universal forwarder are the ways to collect event logs from a remote Windows machine using a standard Splunk installation and no customization. WMI input is a type of input that collects Windows Management Instrumentation (WMI) data from remote Windows machines. Windows universal forwarder is a lightweight version of Splunk that can forward data from Windows machines to Splunk indexers.
Question # 10
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.
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