- A
search new_field=*
Why wrong: Search only filters, doesn't create fields.
- B
timechart count by date
Why wrong: Timechart creates statistical summary fields, not event-level fields.
- C
rex field=raw "(?<new_field>pattern)"
Rex can extract and create new fields from existing ones.
- D
stats count by host
Why wrong: Stats creates aggregates, not per-event fields.
- E
eval new_field = some_expression
Eval creates a new field with a computed value.
SPLK-1002 Using Fields and Lookups Practice Question
This SPLK-1002 practice question tests your understanding of using fields and lookups. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 TWO methods can be used to create a new field in a search?
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
rex field=raw "(?<new_field>pattern)"
Option C is correct because the `rex` command uses a regular expression to extract a named group (`(?<new_field>pattern)`) from the `_raw` event data, dynamically creating the field `new_field` with the matched value. This is a standard method for field extraction in Splunk searches.
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.
- ✗
search new_field=*
Why it's wrong here
Search only filters, doesn't create fields.
- ✗
timechart count by date
Why it's wrong here
Timechart creates statistical summary fields, not event-level fields.
- ✓
rex field=raw "(?<new_field>pattern)"
Why this is correct
Rex can extract and create new fields from existing ones.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
stats count by host
Why it's wrong here
Stats creates aggregates, not per-event fields.
- ✓
eval new_field = some_expression
Why this is correct
Eval creates a new field with a computed value.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Splunk often tests the misconception that filtering commands like `search` or aggregation commands like `stats` can create fields, when in reality only extraction (`rex`) or evaluation (`eval`) commands generate new fields from existing data.
Detailed technical explanation
How to think about this question
The `rex` command operates on a per-event basis, applying the regex to the specified field (default `_raw`) and extracting named groups into new fields; if the regex fails to match, no field is created for that event. The `eval` command, in contrast, creates or modifies a field by evaluating an expression, supporting functions like `if()`, `case()`, and arithmetic, making it versatile for computed fields. Understanding the distinction between extraction (`rex`) and computation (`eval`) is critical for efficient search construction.
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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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: rex field=raw "(?<new_field>pattern)" — Option C is correct because the `rex` command uses a regular expression to extract a named group (`(?<new_field>pattern)`) from the `_raw` event data, dynamically creating the field `new_field` with the matched value. This is a standard method for field extraction in Splunk searches.
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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