SPLK-5001 SPL Search Proficiency Practice Test 4 — 15 Questions

Question 1

What is the result of using 'bin _time span=1d'?

Accepted Answer

Groups events into 24-hour buckets.. The 'bin _time span=1d' command groups events into 24-hour buckets based on the _time field, effectively discretizing timestamps into daily intervals. It does not count events by itself; it creates a binned _time field that can then be used with stats, timechart, or other aggregations. The result is that events are assigned to day-long buckets for grouping.

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Counts events per day.

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Deletes events older than 1 day.

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Changes the display format of the timestamp.

Question 2

Which command is used to append results from one search to another?

Accepted Answer

append [search index=other]. The append command is correct because it takes the results of the current search and adds the results of a subsearch to the end of the result set, effectively combining two result sets vertically. The syntax append [search index=other] runs the subsearch and appends its output to the main pipeline. This is the standard Splunk command for concatenating results from separate searches without joining on a common field.

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add [search index=other]

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join [search index=other]

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combine [search index=other]

Question 3

You want to calculate the standard deviation of 'response_time' per 'server'. Which command is correct?

Accepted Answer

stats stdev(response_time) as std_dev by server. The stats command supports stdev() as the statistical function for standard deviation. The syntax 'stats stdev(response_time) as std_dev by server' correctly computes the standard deviation of response_time grouped by server. variance() computes variance (the square of standard deviation), and sigma() and dev() are not valid SPL statistical functions.

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stats variance(response_time) as std_dev by server

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stats sigma(response_time) by server

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stats dev(response_time) by server

Question 4

Which command is used to remove duplicate events based on a field?

Accepted Answer

dedup event_id. The dedup command removes duplicate events based on the specified field(s), keeping only the first occurrence (or a specified number with the keepevents/sortby options). 'dedup event_id' is the correct syntax to deduplicate events sharing the same event_id value. This is a core SPL command for reducing redundant results.

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remove_duplicates event_id

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distinct event_id

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unique event_id

Question 5

What is the purpose of the 'map' command in complex searches?

Accepted Answer

Runs a subsearch for each event in the results.. The map command in Splunk is a streaming subsearch command that iterates over each result row and runs a specified subsearch once per row, injecting the current row's field values into the subsearch. It is used to enrich or correlate events by executing a nested search for every event returned by the outer search. This makes it fundamentally a per-event subsearch executor, not a geolocation or visualization tool.

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Maps IP addresses to locations.

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Maps fields to a dashboard.

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Creates a map visualization.

Question 6

What does the 'OR' operator do in a search?

Accepted Answer

Matches either condition.. In Splunk Search Processing Language, the OR operator is a Boolean operator that returns events matching either of the two conditions it connects. For example, `status=200 OR status=404` returns events where status equals 200 or status equals 404 (or both). It is the inclusive disjunction, not exclusive, so events satisfying both conditions are also returned.

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Excludes the specified condition.

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Matches both conditions.

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Matches only the first condition.

Question 7

You are using 'lookup' to add user info. What happens if the common field doesn't exist in the lookup file?

Accepted Answer

The events without a match are left with null values in the lookup fields.. The lookup command enriches events by matching a field in the event stream against a field in a lookup table. When no match is found for a given event, that event is retained in the results but the fields brought in from the lookup are populated with null values. This preserves the full event set while adding enrichment where possible, which is essential for accurate reporting and downstream analysis.

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The lookup file is renamed.

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The events without a match are deleted.

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The entire search fails.

Question 8

When dealing with multi-value fields, which command allows you to break them into individual events?

Accepted Answer

mvexpand field_name. The mvexpand command takes a multi-value field and expands each value into its own separate event, duplicating the other fields for each value. This is the standard SPL command for breaking multi-value fields into individual events, and it is commonly used before further aggregation or correlation.

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expand field_name

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mv_to_events field_name

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split field_name

Question 9

Which TWO of the following commands are used for data transformation or enrichment?

Accepted Answer

lookup. Option D, lookup, is correct because it enriches events by joining fields from an external lookup table (e.g., CSV or KV Store) into the search results, adding context such as user names or asset owners. Option E, eval, is correct because it calculates and transforms field values using expressions and functions, creating new fields or modifying existing ones for analysis. Option A, search, is not a transformation or enrichment command; it retrieves and filters events matching a query. Option B, index, is an ingestion/administration command that writes data into an index rather than transforming it. Option C, head, only returns the first N results and does not transform or enrich data.

Answer

search

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index

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head

Question 10

Which THREE commands can be used to handle or create statistical summaries?

Accepted Answer

stats. Option A, `stats`, is correct because it is the primary Splunk search command for calculating aggregate statistical summaries such as count, sum, avg, min, max, and dc over result sets. Option C, `streamstats`, is correct because it computes running (cumulative) statistics as events stream through the pipeline, producing statistical summaries like running totals and moving averages. Option D, `eventstats`, is correct because it enriches each event with aggregated statistics (for example, adding an avg or count field to every event) while preserving the original events, making it a statistical summary command. Option B, `fields`, is not correct because it only includes or excludes fields from results and does not compute any statistics. Option E, `sort`, is not correct because it merely orders results by specified fields and performs no statistical aggregation.

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fields

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sort

Question 11

Which THREE of the following are valid ways to filter events based on time?

Accepted Answer

earliest=, latest=. Option B (earliest=, latest=) is correct because these are the standard time-range arguments accepted by the search command to constrain events to a specific time window. Option D (index=logs earliest=-1h latest=now) is correct because it applies those earliest/latest time modifiers directly in a search, filtering events to the last hour up to the current time. Option E (where _time > relative_time(now(), "-24h")) is correct because the where command evaluates a boolean expression on the _time field, using relative_time to compute a 24-hour-ago timestamp and filtering events newer than it. Option A (stats _time) is not a filtering method; stats is an aggregation command and _time alone does not restrict events by time. Option C (bin _time) is also not a filter; bin buckets timestamps into discrete intervals for grouping or charting rather than excluding events outside a time range.

Answer

stats _time

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bin _time

Question 12

Which THREE of the following represent valid ways to use the 'lookup' command?

Accepted Answer

lookup file.csv field1. Option A is correct because the basic syntax of the lookup command is `lookup

`, so `lookup file.csv field1` is a valid minimal invocation that matches field1 in the CSV against the event field of the same name. Option C is correct because the lookup command supports renaming the input field with `AS` and specifying output fields with `OUTPUT ... AS ...`, so `lookup file.csv field1 AS field_a OUTPUT field2 AS field_b` is valid syntax. Option D is correct because `lookup file.csv field1 OUTPUT field2` is the standard form for matching field1 and returning only field2 from the lookup table. Option B is not valid because `--all` is not a recognized lookup command flag; there is no such option to return all fields. Option E is not valid because `--join` is not a lookup command parameter; lookup does not use a join flag (joins are performed with the `join` command).

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lookup file.csv --all

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lookup file.csv --join

Question 13

Which THREE commands are used to manipulate multi-value fields?

Accepted Answer

mvcombine. In Splunk's Search Processing Language (SPL), multi-value fields are handled by commands that specifically operate on fields containing multiple values per event. Option B, mvcombine, is correct because it takes a single-value field and merges the values across events into a multi-value field, effectively creating or manipulating multi-value data. Option D, mvexpand, is correct because it expands each value of a multi-value field into a separate event, directly manipulating the multi-value field's structure. Option E, mvfilter, is correct because it filters the values within a multi-value field using an expression, thereby manipulating the contents of that multi-value field. Option A, rename, is incorrect because it simply renames a field and does not specifically handle multi-value semantics. Option C, table, is incorrect because it only formats results into a tabular output and does not manipulate multi-value fields.

Answer

rename

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table

Question 14

Which THREE of the following are valid uses of the 'eval' command?

Accepted Answer

eval is_error = if(status>400, 1, 0). Option A is correct because eval can create a new field using a conditional expression, and if(status>400, 1, 0) is a valid eval function that returns 1 when status exceeds 400 and 0 otherwise. Option B is correct because eval supports arithmetic expressions, so eval new_field = field1 + field2 computes the sum of two existing numeric fields and stores it in new_field. Option E is correct because eval can concatenate string values with the + operator, so eval full_name = first + " " + last builds a full name by joining first, a space, and last. Option C is not a valid eval use because 'by host' is a splitting/aggregation clause used with commands like stats, chart, or timechart, not eval. Option D is not a valid eval use because 'filter status=200' is a filtering operation, typically done with search or where, and eval does not filter events.

Answer

eval count by host

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eval filter status=200

Question 15

Which TWO commands are helpful for identifying specific patterns in data?

Accepted Answer

transaction. The transaction command (D) is correct because it groups events that share a common value (such as a session ID or transaction ID) into a single event, letting you identify patterns across related events rather than viewing them in isolation. The cluster command (E) is correct because it uses pattern recognition to group together similar events that share common text or field values, which directly surfaces recurring patterns in the data. The rename command (A) only changes the name of a field and does not reveal patterns, while sort (B) merely orders results and head (C) only limits output to the first N results, so neither performs pattern identification.

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rename

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sort

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head