- A
It can extract fields from structured data like JSON and XML.
Splunk can parse structured formats automatically.
- B
Custom field extractions are not allowed if auto extraction is enabled.
Why wrong: Custom extractions can be added and take precedence.
- C
It extracts fields from raw data based on default patterns.
Splunk has built-in patterns for common fields.
- D
Fields extracted automatically are available for searching immediately.
They become part of the event metadata.
- E
Auto extraction cannot be disabled for specific sourcetypes.
Why wrong: It can be disabled via props.conf.
Quick Answer
The answer is that fields extracted automatically are available for searching immediately. This is correct because Splunk’s automatic field extraction, often called auto kv or key-value extraction, parses structured data formats like JSON and XML during indexing, identifying key-value pairs and making them searchable without any manual configuration. On the SPLK-1002 exam, this concept tests your understanding of how Splunk handles structured versus unstructured data—a common trap is assuming all fields require manual extraction or that auto extraction only works on raw text. Remember, Splunk’s auto kv is format-aware: if your data is JSON or XML, the fields are ready to search the moment the data is indexed. A useful memory tip is “JSON and XML auto kv—fields are free and immediate.”
SPLK-1002 Using Fields and Lookups Practice Question
This SPLK-1002 practice question tests your understanding of using fields and lookups. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which THREE of the following are true about automatic field extraction in Splunk?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
It can extract fields from structured data like JSON and XML.
Option A is correct because Splunk's automatic field extraction (also known as 'auto kv' or 'key-value extraction') can parse structured data formats such as JSON and XML. When Splunk indexes data, it automatically identifies key-value pairs in these formats and extracts them as searchable fields without requiring manual configuration.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
It can extract fields from structured data like JSON and XML.
Why this is correct
Splunk can parse structured formats automatically.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Custom field extractions are not allowed if auto extraction is enabled.
Why it's wrong here
Custom extractions can be added and take precedence.
- ✓
It extracts fields from raw data based on default patterns.
Why this is correct
Splunk has built-in patterns for common fields.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Fields extracted automatically are available for searching immediately.
Why this is correct
They become part of the event metadata.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Auto extraction cannot be disabled for specific sourcetypes.
Why it's wrong here
It can be disabled via props.conf.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Splunk often tests the misconception that automatic field extraction is mutually exclusive with custom extractions, but in reality they can be used together, and auto extraction can be selectively disabled per sourcetype.
Detailed technical explanation
How to think about this question
Under the hood, Splunk's automatic field extraction uses the `kv` search command and the `AUTO_KV` setting in props.conf. For JSON and XML, Splunk uses a built-in parser that recursively extracts nested keys. A subtle behavior is that auto extraction may not capture fields from malformed or deeply nested structures, requiring custom extractions or the `spath` command for reliable parsing. In real-world scenarios, disabling auto extraction for high-volume sourcetypes can improve indexing performance.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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Using Fields and Lookups — study guide chapter
Learn the concepts, then practise the questions
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Using Fields and Lookups practice questions
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FAQ
Questions learners often ask
What does this SPLK-1002 question test?
Using Fields and Lookups — This question tests Using Fields and Lookups — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: It can extract fields from structured data like JSON and XML. — Option A is correct because Splunk's automatic field extraction (also known as 'auto kv' or 'key-value extraction') can parse structured data formats such as JSON and XML. When Splunk indexes data, it automatically identifies key-value pairs in these formats and extracts them as searchable fields without requiring manual configuration.
What should I do if I get this SPLK-1002 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 30, 2026
This SPLK-1002 practice question is part of Courseiva's free Splunk certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the SPLK-1002 exam.
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