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  1. Home
  2. Splunk Certification
  3. SPLK-1003 Exam
  4. Splunk.SPLK-1003.v2025-03-18.q189 Dumps
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Question 31

When should the Data Preview feature be used?

Correct Answer: D
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.
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Question 32

Which of the following are supported configuration methods to add inputs on a forwarder? (Choose all that apply.)

Correct Answer: A,B
Explanation/Reference:
https://docs.splunk.com/Documentation/Forwarder/7.3.1/Forwarder/HowtoforwarddatatoSplunkEnterprise#Define_inputs_on_the_universal_forwarder_with_configuration_files
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Question 33

A Universal Forwarder is collecting two separate sources of data (A,B). Source A is being routed through a Heavy Forwarder and then to an indexer. Source B is being routed directly to the indexer. Both sets of data require the masking of raw text strings before being written to disk. What does the administrator need to do to ensure that the masking takes place successfully?

Correct Answer: D
Explanation
The correct answer is D. Place both props . conf and transforms . conf on the Heavy Forwarder for source A, and place both props . conf and transforms . conf on the indexer for source B.
According to the Splunk documentation1, to mask sensitive data from raw events, you need to use the SEDCMD attribute in the props.conf file and the REGEX attribute in the transforms.conf file. The SEDCMD attribute applies a sed expression to the raw data before indexing, while the REGEX attribute defines a regular expression to match the data to be masked. You need to place these files on the Splunk instance that parses the data, which is usually the indexer or the heavy forwarder2. The universal forwarder does not parse the data, so it does not need these files.
For source A, the data is routed through a heavy forwarder, which can parse the data before sending it to the indexer. Therefore, you need to place both props.conf and transforms.conf on the heavy forwarder for source A, so that the masking takes place before indexing.
For source B, the data is routed directly to the indexer, which parses and indexes the data. Therefore, you need to place both props.conf and transforms.conf on the indexer for source B, so that the masking takes place before indexing.
References: 1: Redact data from events - Splunk Documentation 2: Where do I configure my Splunk settings?
- Splunk Documentation
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Question 34

Which of the following types of data count against the license daily quota?

Correct Answer: C
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Question 35

Using SEDCMD in props.conf allows raw data to be modified. With the given event below, which option will mask the first three digits of the AcctID field resulting output: [22/Oct/2018:15:50:21] VendorID=1234 Code=B AcctID=xxx5309 Event:
[22/Oct/2018:15:50:21] VendorID=1234 Code=B AcctID=xxx5309

Correct Answer: D
Explanation
https://docs.splunk.com/Documentation/Splunk/8.2.2/Data/Anonymizedata
Scrolling down to the section titled "Define the sed script in props.conf shows the correct syntax of an example which validates that the number/character /1 immediately preceded the /g
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