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When should the Data Preview feature be used?
The Data Preview feature should be used when validating the parsing of data. The Data Preview feature allows you to preview how Splunk software will index your data before you commit the data to an index. You can use the Data Preview feature to check the following aspects of data parsing1:
Timestamp recognition: You can verify that Splunk software correctly identifies the timestamps of your events and assigns them to the _time field.
Event breaking: You can verify that Splunk software correctly breaks your data stream into individual events based on the line breaker and should linemerge settings.
Source type assignment: You can verify that Splunk software correctly assigns a source type to your data based on the props.conf file settings. You can also manually override the source type if needed.
Field extraction: You can verify that Splunk software correctly extracts fields from your events based on the transforms.conf file settings. You can also use the Interactive Field Extractor (IFX) to create custom field extractions.
The Data Preview feature is available in Splunk Web under Settings > Data inputs > Data preview. You can access the Data Preview feature when you add a new input or edit an existing input1.
The other options are incorrect because:
A . When extracting fields for ingested data. The Data Preview feature can be used to verify the field extraction for data that has not been ingested yet, but not for data that has already been indexed. To extract fields from ingested data, you can use the IFX or the rex command in the Search app2.
B . When previewing the data before searching. The Data Preview feature does not allow you to search the data, but only to view how it will be indexed. To preview the data before searching, you can use the Search app and specify a time range or a sample ratio.
C . When reviewing data on the source host. The Data Preview feature does not access the data on the source host, but only the data that has been uploaded or monitored by Splunk software. To review data on the source host, you can use the Splunk Universal Forwarder or the Splunk Add-on for Unix and Linux.
A non-clustered Splunk environment has three indexers (A,B,C) and two search heads (X, Y). During a search executed on search head X, indexer A crashes. What is Splunk's response?
This is explained in the Splunk documentation1, which states:
If an indexer goes down during a search, the search head notifies you that the results might be incomplete. The search head does not attempt to re-run the search on another indexer.
When running a real-time search, search results are pulled from which Splunk component?
Using the Splunk reference URL https://docs.splunk.com/Splexicon:Searchpeer
'search peer is a splunk platform instance that responds to search requests from a search head. The term 'search peer' is usally synonymous with the indexer role in a distributed search topology. However, other instance types also have access to indexed data, particularly internal diagnostic data, and thus function as search peers when they respond to search requests for that data.'
Load balancing on a Universal Forwarder is not scaling correctly. The forwarder's outputs. and the tcpout stanza are setup correctly. What else could be the cause of this scaling issue? (select all that apply)
The possible causes of the load balancing issue on the Universal Forwarder are A and C. The receiving port and the DNS record are both factors that affect the ability of the Universal Forwarder to distribute data across multiple receivers. If the receiving port is not properly set up to listen on the right port, or if the DNS record used is not set up with a valid list of IP addresses, the Universal Forwarder might fail to connect to some or all of the receivers, resulting in poor load balancing.
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