The answer is Option D, which uses a single stats command to compute both avg(response_time) and count by category. This is correct because it performs efficient stats aggregation using single pass processing, meaning Splunk only needs to scan the data once to calculate both metrics simultaneously. In contrast, using eventstats followed by stats would require two separate passes over the data, doubling the I/O and processing time—a critical inefficiency when working with large indexes containing many sourcetypes. On the SPLK-1003 exam, this question tests your understanding of search-time optimization and the trade-offs between streaming and non-streaming commands. A common trap is to overuse eventstats for intermediate calculations when a single stats command can achieve the same result more efficiently. Remember the memory tip: "One pass, one stats—don't double the stats." This helps you spot when a single aggregation command can replace a multi-command pipeline, saving both time and resources.
SPLK-1003 Advanced Searching and Statistics Practice Question
This SPLK-1003 practice question tests your understanding of advanced searching and statistics. 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.
A team uses a large index with many sourcetypes. They want to find events where the field "status" contains either "error" or "failure" (case-insensitive), and also ensure that "response_time" > 1000. Which search best optimizes performance?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
index=main | stats avg(response_time) as avg, count as cnt by category | where cnt>=100 | sort -avg | head 5
Option D is correct because it efficiently computes both the average response_time and the count of events per category in a single stats command, then filters by count >=100, sorts by average descending, and returns the top 5 categories. This minimizes data movement and processing by performing all aggregations in one pass, which is optimal for large indexes with many sourcetypes.
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.
✗
index=main | eventstats avg(response_time) as avg by category | stats count as cnt by category | where cnt>=100 | sort -avg | head 5
Why it's wrong here
Uses eventstats then stats, which is less efficient and may produce incorrect results.
✗
index=main | top category | eval avg=avg(response_time) | where count>=100
Why it's wrong here
Top command does not compute average, and eval cannot compute aggregate within it.
✗
index=main | stats avg(response_time) as avg by category | where cnt>=100 | sort -avg | head 5
Why it's wrong here
References 'cnt' which is not computed in this search.
✓
index=main | stats avg(response_time) as avg, count as cnt by category | where cnt>=100 | sort -avg | head 5
Why this is correct
Correctly computes both statistics and filters.
Clue confirmation
The clue word "best" in the question point toward this answer.
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 you need separate commands for each aggregation (like eventstats then stats) or that you can reference a field in a where clause before it is defined, leading candidates to choose options that either fail syntactically or perform unnecessary intermediate operations.
Trap categories for this question
Command / output trap
Top command does not compute average, and eval cannot compute aggregate within it.
Detailed technical explanation
How to think about this question
The stats command in Splunk processes events in a single streaming pass, computing multiple aggregations (avg, count) per group without requiring separate subsearches or eventstats. For large indexes, this reduces memory and CPU overhead. The where clause after stats filters on the computed count, which is more efficient than filtering before aggregation because it avoids processing events that would be discarded later. Sorting by avg descending and limiting to head 5 further reduces data transfer to the search head.
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-1003 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.
Advanced Searching and Statistics — This question tests Advanced Searching and Statistics — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: index=main | stats avg(response_time) as avg, count as cnt by category | where cnt>=100 | sort -avg | head 5 — Option D is correct because it efficiently computes both the average response_time and the count of events per category in a single stats command, then filters by count >=100, sorts by average descending, and returns the top 5 categories. This minimizes data movement and processing by performing all aggregations in one pass, which is optimal for large indexes with many sourcetypes.
What should I do if I get this SPLK-1003 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: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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