View Full Splunk SPLK-5002 Exam Dumps and Practice Test Dumps

 

Question 381. Which SPL command is used to combine the results of two searches by appending the second search’s results after the first search’s results?

1. appendcols
2. append
3. join
4. union

Correct Answer: 2. append

Explanation :-

The append command adds the results returned by a subsearch to the results of the main search. It is useful when two searches produce similar fields but represent different sets of events or data that should appear together in one result set. For example, a search for current errors can be combined with another search for historical errors using append. Unlike appendcols, which combines results side by side based on row position, append places the subsearch results underneath the existing results. This makes append appropriate when the goal is to create one longer result set from two independent searches.

Question 382. An analyst wants to calculate the average response time for each host while retaining every original event. Which SPL command is most appropriate?

1. eventstats
2. stats
3. chart
4. timechart

Correct Answer: 1. eventstats

Explanation :-

The eventstats command calculates statistical values and adds those values to the events from which they were calculated. For example, eventstats avg(response_time) as avg_response by host calculates the average response time for each host and places the corresponding average into the events for that host. This differs from stats, which transforms the event stream into a summary table and removes the individual events from the result. eventstats is therefore useful when an analyst needs aggregate information for comparison while still retaining the original event-level fields and records.

Question 383. Which SPL expression converts a multivalue field named tags into a single comma-separated string?

1. mvexpand(tags)
2. mvcount(tags)
3. mvjoin(tags, “,”)
4. split(tags, “,”)

Correct Answer: 3. mvjoin(tags, “,”)

Explanation :-

The mvjoin function combines the values in a multivalue field into a single string using a specified delimiter. For example, eval tag_list=mvjoin(tags, “,”) converts values such as web, production, and critical into web,production,critical. This is different from mvexpand, which creates separate events for each multivalue element. mvcount returns the number of values, while split converts a single string into a multivalue field. Therefore, mvjoin is the appropriate function when the requirement is to represent multiple values as one delimited string.

Question 384. A Splunk administrator wants to extract a value from a JSON field called payload. Which command can directly parse structured JSON data?

1. rex
2. spath
3. makemv
4. replace

Correct Answer: 2. spath

Explanation :-

The spath command is designed to extract information from structured data such as JSON and XML. If an event contains a JSON object in the payload field, spath input=payload can parse the structure and make fields available for further processing. rex can also extract values using regular expressions, but it is not specifically designed to understand JSON structure. makemv creates multivalue fields from delimited strings, and replace performs text replacement. Using spath is generally more appropriate when the source data already follows a structured JSON format.

Question 385. Which SPL command changes the order of events so that the last event becomes the first event?

1. reverse
2. sort
3. tail
4. transpose

Correct Answer: 1. reverse

Explanation :-

The reverse command reverses the order of the events in the current result set. If the search results contain events in the order A, B, C, and D, applying reverse produces D, C, B, and A. This can be useful when the analyst needs to process or inspect results in the opposite order without changing the actual field values. sort orders results according to specified fields, while tail selects events from the end of the result set. transpose changes the orientation of a result table rather than reversing event order.

Question 386. An analyst wants to calculate the 95th percentile of duration for each application. Which SPL command should be used?

1. stats p95(duration) by application
2. stats max(duration) by application
3. stats median(duration) by application
4. stats avg(duration) by application

Correct Answer: 1. stats p95(duration) by application

Explanation :-

The p95() statistical function calculates the 95th percentile of a numeric field. The SPL stats p95(duration) by application command calculates this value separately for every application. Percentiles are particularly useful for performance analysis because they show the value below which a specified percentage of observations fall. The maximum value can be heavily affected by a single extreme event, while an average may hide significant variations. The median represents the 50th percentile. Therefore, when the requirement specifically asks for the 95th percentile, p95() is the appropriate statistical function.

Question 387. Which SPL command can create a running count of events separately for each user?

1. eventstats count by user
2. stats count by user
3. streamstats count by user
4. chart count by user

Correct Answer: 3. streamstats count by user

Explanation :-

The streamstats command calculates statistics incrementally as events are processed. Using streamstats count by user creates a running count for each user, so each event receives the current number of events encountered for that user. This is different from stats, which produces an aggregate summary after processing the complete result set. eventstats calculates an aggregate and adds it back to events but does not provide the same sequential running behavior. streamstats is therefore appropriate for questions involving cumulative or progressive calculations based on event order.

Question 388. A search contains a field named status. The analyst wants to return only events where the field exists, regardless of its value. Which search is appropriate?

1. status=””
2. status=*
3. status!=null
4. status=exists

Correct Answer: 2. status=*

Explanation :-

In Splunk search syntax, field=* matches events where the specified field exists. Therefore, status=* returns events that contain a status field, regardless of the particular value stored in that field. This is useful when an analyst needs to determine whether a field was populated or extracted. An empty-string comparison does not reliably represent field existence, and status=exists is not the standard syntax for this purpose. Using status=* is the straightforward SPL approach for filtering events based on the presence of a field.

Question 389. Which SPL function returns the number of values contained in a multivalue field?

1. mvindex
2. mvjoin
3. mvfind
4. mvcount

Correct Answer: 4. mvcount

Explanation :-

The mvcount function returns the number of values contained in a multivalue field. For example, eval tag_count=mvcount(tags) creates a field containing the number of values stored in tags. This is useful when searches need to identify events containing many tags, addresses, users, or other multivalue data. mvindex retrieves one or more values at specified positions, mvjoin combines values into a single string, and mvfind searches for a matching value or pattern. Therefore, mvcount is the appropriate function when the requirement is to count multivalue elements.

Question 390. An analyst needs to display the five most recent events after sorting by _time in descending order. Which SPL sequence is appropriate?

1. head 5 | sort -_time
2. sort -_time | head 5
3. tail 5 | sort _time
4. sort _time | head 5

Correct Answer: 2. sort -_time | head 5

Explanation :-

The sort -_time command orders the results by _time in descending order, placing the newest events first. Applying head 5 afterward keeps the first five events, which are therefore the five most recent events. The order of these commands matters because head operates on the current result order. If head 5 were used first, it could select arbitrary or differently ordered events before the sorting operation. This pattern is useful when an analyst needs a specific number of the newest events based on their event timestamps.

Question 391. Which SPL command is designed to replace values in fields according to specified replacement rules?

1. replace
2. rename
3. rex
4. fields

Correct Answer: 1. replace

Explanation :-

The replace command is used to replace specified field values with other values in search results. It is useful when an analyst needs to normalize or substitute values across result fields. For example, replacement rules can convert one representation of a value into another. rename changes field names rather than field values. rex is primarily used for extracting or modifying data using regular expressions, while fields controls which fields are retained or removed. Therefore, when the requirement specifically concerns replacing field values according to replacement rules, the replace command is appropriate.

Question 392. An analyst wants to calculate total bytes transferred for each user by adding the bytes_in and bytes_out values for every event before aggregation. Which SPL approach is appropriate?

1. stats sum(bytes_in + bytes_out) by user
2. eval total_bytes=bytes_in+bytes_out | stats sum(total_bytes) by user
3. stats bytes_in+bytes_out by user
4. eventstats bytes_in+bytes_out by user

Correct Answer: 2. eval total_bytes=bytes_in+bytes_out | stats sum(total_bytes) by user

Explanation :-

The eval command can calculate a per-event value before the results are aggregated. eval total_bytes=bytes_in+bytes_out creates the total transferred bytes for each event. The subsequent stats sum(total_bytes) by user then adds those event-level totals for each user. This two-stage approach makes the calculation explicit and allows the intermediate field to be reused later in the search. eventstats is intended to add aggregate statistics to events, while the other alternatives do not correctly express the required event-level calculation followed by aggregation.

Question 393. Which SPL function returns the first non-null value from a list of arguments?

1. coalesce
2. isnull
3. fillnull
4. null

Correct Answer: 1. coalesce

Explanation :-

The coalesce function returns the first value in its argument list that is not null. For example, eval user=coalesce(username, user, account) can select the first available field value when different data sources use different field names. This is especially useful for normalizing fields across heterogeneous events. isnull checks whether a value is null, while fillnull is a command used to replace null field values with specified values. coalesce is therefore useful when multiple possible fields may contain the desired value and the search should select the first available one.

Question 394. A search produces a table containing one row for each category and separate columns for status values. Which command can transform a two-dimensional result into a transposed table for easier display?

1. untable
2. transpose
3. reverse
4. xyseries

Correct Answer: 2. transpose

Explanation :-

The transpose command changes the orientation of a tabular result, turning columns into rows and rows into columns for display purposes. It is useful when a result table is easier to interpret in a transposed format, particularly when there are relatively few result rows but many columns. untable performs the opposite type of transformation by converting tabular data into a more normalized event-like format. xyseries constructs a table using values from specified fields, while reverse only reverses result order. Therefore, transpose is the command intended for this display transformation.

Question 395. Which SPL function can extract a portion of a string based on a starting position and length?

1. substr
2. replace
3. lower
4. mvindex

Correct Answer: 1. substr

Explanation :-

The substr function extracts a portion of a string based on a starting position and, optionally, a length. It is useful when a field contains a fixed-format value and the analyst needs only a specific portion of it. For example, eval prefix=substr(code,1,3) can extract the first three characters of a string. lower changes alphabetic characters to lowercase, while replace substitutes matching text. mvindex works with multivalue fields rather than extracting character positions from ordinary strings. Therefore, substr is the appropriate function for character-based string extraction.

Question 396. An analyst wants to count distinct source IP addresses for every destination host. Which SPL statement is appropriate?

1. stats count(source_ip) by destination_host
2. stats values(source_ip) by destination_host
3. stats dc(source_ip) by destination_host
4. stats list(source_ip) by destination_host

Correct Answer: 3. stats dc(source_ip) by destination_host

Explanation :-

The dc() function calculates the distinct count of values in a field. Therefore, stats dc(source_ip) by destination_host returns the number of unique source IP addresses associated with each destination host. A regular count(source_ip) counts events containing the field and may count the same IP multiple times. values(source_ip) returns the unique values themselves, while list(source_ip) creates a multivalue list that can include duplicates. When the requirement is specifically the number of unique source addresses, dc() is the appropriate statistical function.

Question 397. Which SPL command can create time-based buckets from event timestamps before performing aggregation?

1. bucket
2. dedup
3. fields
4. rename

Correct Answer: 1. bucket

Explanation :-

The bucket command discretizes numeric or time values into ranges. When applied to _time, it can create fixed time buckets such as five-minute intervals using syntax such as bucket _time span=5m. These buckets can then be used with commands such as stats to aggregate events over consistent periods. timechart can also perform time-based aggregation automatically, but bucket is specifically useful when the analyst wants to explicitly create the bucketed _time field and then use another aggregation command. The other listed commands do not perform time discretization.

Question 398. An analyst wants to calculate a cumulative sum of bytes as events are processed separately for each user. Which SPL command is appropriate?

1. stats sum(bytes) by user
2. eventstats sum(bytes) by user
3. streamstats sum(bytes) as cumulative_bytes by user
4. chart sum(bytes) by user

Correct Answer: 3. streamstats sum(bytes) as cumulative_bytes by user

Explanation :-

The streamstats command calculates statistics incrementally as events are processed. Using streamstats sum(bytes) as cumulative_bytes by user creates a running total for each user, with each event showing the cumulative bytes observed for that user up to that point. stats sum(bytes) by user produces only a final aggregate for each user. eventstats adds aggregate values back to events but does not provide the same sequential cumulative behavior. chart is designed to generate tabular statistical summaries. Therefore, streamstats is appropriate for cumulative calculations based on event order.

Question 399. Which SPL command can filter events using a regular expression applied to a specific field?

1. regex
2. rex
3. replace
4. search

Correct Answer: 1. regex

Explanation :-

The regex command filters search results based on whether field values match a specified regular expression. For example, regex user=”^admin” can retain events where the user field begins with admin. The rex command is commonly used to extract or manipulate field values using regular expressions rather than simply filtering events. replace performs value replacement, while search supports standard search expressions and wildcards. When the requirement specifically states that events should be filtered according to a regular-expression pattern applied to a field, the regex command is the appropriate choice.

Question 400. An analyst wants to display the number of events for each combination of host and status. Which SPL command is appropriate?

1. stats count by host
2. stats count by status
3. stats count by host status
4. stats dc(host) by status

Correct Answer: 3. stats count by host status

Explanation :-

The stats command can group results by multiple fields. Using stats count by host status creates a separate result row for each unique combination of host and status and counts the events in that group. For example, the results can show separate counts for each host’s successful, failed, or pending events. Grouping only by host or only by status would lose one dimension of the requested breakdown. dc(host) by status instead calculates the number of distinct hosts for each status. Therefore, grouping by both fields directly satisfies the requirement.