- A
The eval command has a syntax error.
Why wrong: The eval syntax is correct.
- B
The field is actually a string with commas.
Commas cause the string to be non-numeric, leading to null results in division.
- C
The field needs to be converted first.
Why wrong: Converting to number after removing commas would solve it, but the immediate cause is the comma.
- D
The division operator does not work on string fields.
Why wrong: While true, the core issue is the commas formatting.
SPLK-1002 Basic Searching and Transforming Commands Practice Question
This SPLK-1002 practice question tests your understanding of basic searching and transforming commands. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
A search uses `eval memory_MB = memory_bytes / 1024 / 1024`. The field memory_bytes contains values like '2,048,000'. The eval results memory_MB is often null. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
The field is actually a string with commas.
Option B is correct because the `memory_bytes` field contains values like '2,048,000', which include commas. In Splunk, fields with commas are treated as strings, not numeric values. When `eval` attempts arithmetic division on a string field, it returns null because the operation cannot be performed on non-numeric data. The commas must be removed (e.g., using `replace` or `tonumber`) before the field can be used in calculations.
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.
- ✗
The eval command has a syntax error.
Why it's wrong here
The eval syntax is correct.
- ✓
The field is actually a string with commas.
Why this is correct
Commas cause the string to be non-numeric, leading to null results in division.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The field needs to be converted first.
Why it's wrong here
Converting to number after removing commas would solve it, but the immediate cause is the comma.
- ✗
The division operator does not work on string fields.
Why it's wrong here
While true, the core issue is the commas formatting.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Splunk often tests the misconception that Splunk automatically handles commas in numeric fields, leading candidates to overlook the need to explicitly remove non-numeric characters before arithmetic operations.
Detailed technical explanation
How to think about this question
Under the hood, Splunk's `eval` command uses implicit type coercion: if a field contains only digits and an optional decimal point, it is treated as numeric. However, commas are non-numeric characters, so the field remains a string and arithmetic returns null. A common real-world scenario is ingesting CSV data where large numbers are formatted with commas for readability; you must strip commas using `replace(memory_bytes,",","")` or convert with `tonumber(replace(...))` before performing calculations. This is also why `| convert num(memory_bytes)` fails if commas are present, as `convert` expects clean numeric strings.
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 practitioner preparing for the SPLK-1002 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
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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Basic Searching and Transforming Commands — study guide chapter
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FAQ
Questions learners often ask
What does this SPLK-1002 question test?
Basic Searching and Transforming Commands — This question tests Basic Searching and Transforming Commands — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The field is actually a string with commas. — Option B is correct because the `memory_bytes` field contains values like '2,048,000', which include commas. In Splunk, fields with commas are treated as strings, not numeric values. When `eval` attempts arithmetic division on a string field, it returns null because the operation cannot be performed on non-numeric data. The commas must be removed (e.g., using `replace` or `tonumber`) before the field can be used in calculations.
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.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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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