SPLK-1004 Transforming Commands And Formatting Practice Test 3 — 15 Questions

Question 1

Which command is used to remove a field from the search results?

Accepted Answer

fields - field_name. The fields command with a minus sign (fields - field_name) is used to remove a field from search results. This command explicitly excludes the specified field from the output, which is the correct way to drop a field in SPL. It is a standard part of the Splunk search processing language for field manipulation.

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eval field_name = null

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drop field_name

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delete field_name

Question 2

You are correlating two searches. What is the primary advantage of using 'join' over 'lookup'?

Accepted Answer

Joins allow for subsearch results to be mapped to the primary search results dynamically.. The primary advantage of 'join' over 'lookup' is that join dynamically maps subsearch results to the primary search results at search time, allowing correlation based on matching field values without pre-building a lookup table. Lookups, by contrast, require a static or pre-defined external table. This dynamic mapping is the key differentiator.

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Lookups cannot be used with stats.

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Joins are faster than lookups.

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Joins are automatically cached.

Question 3

You need to count the total number of unique users per department using the 'stats' command. Which command syntax is correct?

Accepted Answer

stats dc(user) by department. The dc() function in Splunk's stats command stands for 'distinct count' and returns the number of unique values for a field. 'stats dc(user) by department' correctly counts unique users per department. The other functions either list values, return the values themselves, or count all events rather than unique occurrences.

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stats list(user) by department

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stats values(user) by department

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stats count(user) by department

Question 4

What is the purpose of 'streamstats' compared to 'stats'?

Accepted Answer

It computes aggregates for each event based on current and previous events.. The streamstats command computes cumulative, running aggregates as it processes events in order, meaning each event's result reflects the current event plus all preceding events in the stream. In contrast, stats collapses the entire result set into a single aggregate row per grouping (or one row total), losing per-event granularity. This makes streamstats ideal for running totals, moving averages, and cumulative counts.

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It can only be used with time-series data.

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It is faster for large datasets.

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It computes aggregates over the entire search result set.

Question 5

You want to see a list of unique 'clientip' addresses. Which command is most efficient?

Accepted Answer

dedup clientip. The dedup command is specifically designed to remove duplicate events based on specified fields, making it the most efficient way to get a list of unique clientip addresses. It returns the first occurrence of each unique value and is optimized for this purpose. While stats count by clientip also provides unique values, it includes counts and may be less efficient for simply listing unique IPs, especially when you don't need the counts.

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stats count by clientip

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head 100

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chart clientip

Question 6

What is the limitation of using 'join' in a search?

Accepted Answer

The subsearch result limit is 100 by default.. The join command in Splunk runs a subsearch to build the right-hand dataset, and that subsearch is capped at 100 results by default (controlled by the maxout setting, which defaults to 100). This means any join whose subsearch returns more than 100 rows will silently truncate, producing incomplete or misleading results. This is the primary practical limitation of join and the reason Splunk recommends alternatives like stats, lookup, or append when working with large datasets.

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Joins only work on numerical fields.

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Joins are deprecated in Splunk.

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Joins cannot be used with subsearches.

Question 7

How do you add a total row to a stats table?

Accepted Answer

addtotals. The `addtotals` command is specifically designed to append a summary row (or column) to the results of a statistical aggregation, such as those produced by `stats` or `chart`. It computes the sum of each numeric field across all result rows and adds a new row labeled 'Total' at the bottom. This is the standard SPL approach for adding totals to a stats table without altering the underlying aggregation logic.

Answer

addsum

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eval total = sum(field)

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stats total

Question 8

You want to round a number in a field to two decimal places. Which function is used?

Accepted Answer

eval new_field = round(old_field, 2). The eval command's round function rounds a numeric field to a specified number of decimal places. The syntax eval new_field = round(old_field, 2) takes the value in old_field and rounds it to two decimal places, storing the result in new_field. This is the standard SPL approach for decimal rounding.

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format new_field = 2

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eval new_field = floor(old_field, 2)

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eval new_field = ceil(old_field, 2)

Question 9

What is the difference between 'chart' and 'timechart'?

Accepted Answer

Timechart automatically buckets by time.. The key difference is that timechart automatically buckets events by time and plots the results over time, while chart does not automatically bucket by time and can be used with any field. Timechart is specifically designed for time-series visualizations.

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They are identical commands.

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Chart is for time-based data.

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Timechart is for non-time fields.

Question 10

Which command is used to display specific fields in the output?

Accepted Answer

fields. The fields command is used to display specific fields in the output of a search. By specifying fields field1, field2, you instruct Splunk to include only those fields in the results, effectively displaying just the fields you need. This is the standard SPL command for controlling which fields appear in search output.

Answer

display

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select

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show

Question 11

How do you extract a portion of a string using 'eval'?

Accepted Answer

eval new = substr(old, 1, 5). Splunk's eval command supports the substr() function, which extracts a substring from a string given a starting position (1-based) and length. The syntax eval new = substr(old, 1, 5) returns the first five characters of the 'old' field, making C the correct answer.

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eval new = cut(old, 1, 5)

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eval new = slice(old, 1, 5)

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eval new = extract(old, 1, 5)

Question 12

When using 'stats', how does the 'values()' function differ from 'list()'?

Accepted Answer

Values() returns unique values, list() returns all values.. In Splunk's stats command, values() returns the unique (deduplicated) values of a field, while list() returns all values including duplicates. Both preserve order of appearance by default, but only values() removes duplicates. This distinction matters when counting distinct items versus listing every occurrence.

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List() sorts the data automatically.

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Values() is faster than list().

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Values() is only for numbers.

Question 13

Which command sorts results by a field in descending order?

Accepted Answer

sort -field. In Splunk SPL, prefixing a field name with a minus sign in the sort command sorts that field in descending order, so 'sort -field' is correct. Ascending order is the default and uses no prefix, while a plus sign explicitly requests ascending. This is a fundamental SPL syntax rule tested on SPLK-1004.

Answer

sort desc(field)

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sort field=desc

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sort field

Question 14

You need to combine two fields into one string. Which eval function is used?

Accepted Answer

eval new = field1 . field2. In Splunk's eval command, string concatenation is performed with the dot (.) operator, so 'eval new = field1 . field2' correctly joins two field values into one string. The plus (+) operator is used for numeric addition, not string concatenation, and there is no built-in merge() or combine() eval function. This is a core SPL syntax rule tested frequently on SPLK-1004.

Answer

eval new = field1 + field2

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eval new = merge(field1, field2)

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eval new = combine(field1, field2)

Question 15

How do you handle case-insensitive filtering in a 'where' clause?

Accepted Answer

where lower(field) = "value". Splunk's where command uses eval-style expressions, and the correct way to perform case-insensitive comparison is to normalize the field with lower() (or upper()) and compare against a lowercase literal. The syntax where lower(field) = "value" is valid eval expression syntax and reliably matches regardless of case.

Answer

where field == /value/i

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where field = '(?i)value'

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where field.case = "ignore"