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

 

Question 141: Which SPL command can calculate the total number of events for each sourcetype?

1. count sourcetype
2. stats count by sourcetype
3. stats total(sourcetype)
4. eventstats sourcetype count

Correct Answer: 2. stats count by sourcetype

Explanation :-

The stats count by sourcetype command counts matching events and groups the results according to the sourcetype field. This is useful for understanding the distribution of data sources in a Splunk environment. Each distinct sourcetype receives its own result row with an associated event count. The other choices either use invalid syntax or attempt to aggregate the field itself rather than count events. stats is commonly used for summary reporting, and the by clause determines how the events are grouped before the statistical calculation is performed.

Question 142: Which SPL command can filter events where status is not equal to 200?

1. where status != 200
2. filter status <> 200
3. search status NOT 200
4. exclude status=200

Correct Answer: 1. where status != 200

Explanation :-

The where command evaluates expressions and retains events that satisfy the specified condition. where status != 200 keeps events whose status value is not 200. This can be useful when investigating errors, redirects, or other responses that differ from a successful HTTP status. The != comparison operator expresses inequality in SPL expressions. The other choices do not use the standard SPL syntax for this comparison. When filtering text values, appropriate quoting and field-value handling should also be considered depending on the data type.

Question 143: Which SPL command can calculate the number of unique source_ip values for each destination_port?

1. stats count(source_ip) by destination_port
2. stats dc(source_ip) by destination_port
3. stats unique(source_ip) by destination_port
4. stats distinct(source_ip) destination_port

Correct Answer: 2. stats dc(source_ip) by destination_port

Explanation :-

The dc() function calculates a distinct count. Therefore, stats dc(source_ip) by destination_port returns the number of unique source IP addresses associated with each destination port. This is useful in security analysis when determining how many different systems are communicating with a particular service. A normal count(source_ip) would count events rather than unique IP addresses, so repeated connections from the same IP could inflate the result. The other choices use functions that are not the standard SPL approach for calculating a distinct count.

Question 144: Which SPL command can add the average response_time for each host to every event from that host?

1. stats avg(response_time) by host
2. streamstats avg(response_time) by host
3. eventstats avg(response_time) as host_avg by host
4. eval host_avg=avg(response_time)

Correct Answer: 3. eventstats avg(response_time) as host_avg by host

Explanation :-

The eventstats command calculates an aggregate and adds the resulting value back to the events used in the calculation. eventstats avg(response_time) as host_avg by host calculates an average for each host and places that value in the host_avg field on the corresponding events. This allows individual events to be compared against their host-level average while preserving the original events. stats would instead transform the results into summary rows. streamstats calculates running statistics based on event order, which is different from a complete group-level average.

Question 145: Which SPL command can group events into five-minute time intervals by modifying the _time field?

1. bucket _time span=5m
2. group _time interval=5m
3. timebucket _time 5m
4. binning _time span=5m

Correct Answer: 1. bucket _time span=5m

Explanation :-

The bucket command discretizes values into groups. When applied to _time, bucket _time span=5m groups event timestamps into five-minute intervals. This is useful when a search needs explicit time buckets before applying another statistical command, such as stats count by _time. The timechart command can also perform time bucketing automatically, but bucket provides direct control over the _time field. The other choices are not standard SPL syntax. Time bucketing is commonly used when building custom time-based summaries or comparisons.

Question 146: Which SPL command can return the top 10 users based on event frequency?

1. top limit=10 user
2. stats top=10 user
3. head user limit=10
4. rank user 10

Correct Answer: 1. top limit=10 user

Explanation :-

The top command identifies the most frequent values of a specified field. top limit=10 user returns the ten users with the highest frequency in the matching events. The command provides frequency-related information that can be used to understand dominant activity patterns. head only limits the number of existing results and does not rank values by frequency. The other choices do not use valid SPL syntax for this operation. top is particularly useful for quickly identifying frequently occurring users, source IP addresses, URLs, or other categorical fields.

Question 147: Which SPL command can combine two fields into a new field containing both values?

1. eval combined=host + user
2. stats combined=host.user
3. merge combined=host,user
4. combine host,user as combined

Correct Answer: 1. eval combined=host + user

Explanation :-

The eval command can create a new field from existing fields using expressions. When working with string fields, concatenation can be performed using the appropriate SPL expression and functions. For example, eval combined=host . “-” . user can create a combined value such as server01-admin. The important point is that eval is the command used to derive a new field from existing values. stats is intended for aggregation, while the other choices are not standard SPL commands for creating a combined field.

Question 148: Which SPL command can filter events using a regular expression against the user field?

1. rex user=”^admin”
2. regex user=”^admin”
3. regexp user=”^admin”
4. search regex(user,”^admin”)

Correct Answer: 2. regex user=”^admin”

Explanation :-

The regex command filters events using a regular expression applied to a specified field. regex user=”^admin” keeps events where the user field matches the pattern beginning with admin. The rex command has a different primary purpose: extracting or transforming data with regular expressions. This distinction is important because regex controls which events remain in the result set, while rex can create extracted fields. The other choices do not represent the standard SPL syntax for regular-expression filtering. Regular expressions are useful for matching structured naming patterns and other textual conditions.

Question 149: Which SPL command can calculate the median value of response_time for each application?

1. stats median(response_time) by application
2. stats middle(response_time) by application
3. stats med(response_time) by application
4. stats center(response_time) by application

Correct Answer: 1. stats median(response_time) by application

Explanation :-

The median() statistical function calculates the middle value of a set of numeric observations. stats median(response_time) by application calculates the median response time separately for each application. Median values can be useful when response-time data contains outliers because the median is less influenced by extremely high or low values than the average. The other choices use function names that are not the standard SPL syntax for this calculation. Combining median with other statistics such as average, minimum, maximum, or percentiles can provide a more complete view of application performance.

Question 150: Which SPL command can retain only events whose severity field is greater than or equal to 4?

1. where severity >= 4
2. stats severity >= 4
3. filter severity >= 4
4. search severity greater 4

Correct Answer: 1. where severity >= 4

Explanation :-

The where command evaluates Boolean expressions and keeps results that meet the specified condition. where severity >= 4 therefore retains events where the numeric severity value is four or higher. This is useful for focusing investigations on high-severity events. Depending on the search structure, an equivalent field comparison can sometimes be placed directly in the initial search. The other choices either use invalid syntax or commands that are not standard SPL filtering commands. Numeric comparisons should be used carefully when field values may contain nonnumeric strings.

Question 151: Which SPL command can calculate a count and average response time for each host?

1. stats count, avg(response_time) by host
2. stats host count average(response_time)
3. eventstats count avg(response_time) host
4. count avg(response_time) by host

Correct Answer: 1. stats count, avg(response_time) by host

Explanation :-

The stats command supports multiple aggregation functions in one search. stats count, avg(response_time) by host produces one row for each host and includes both the number of matching events and the average response time. This combination is useful when comparing workload volume and performance across systems. The by host clause applies the calculations separately to each host. The other choices use invalid or incomplete syntax. Additional statistical functions, such as max() or p95(), can also be added when more detailed performance information is required.

Question 152: Which SPL command can extract a username from raw text such as user=alice?

1. regex field=_raw “user=(?<username>\w+)”
2. rex field=_raw “user=(?<username>\w+)”
3. search field=_raw “user=(?<username>\w+)”
4. extract field=_raw username

Correct Answer: 2. rex field=_raw “user=(?<username>\w+)”

Explanation :-

The rex command uses regular expressions to extract information from a field. The named capture group (?<username>\w+) creates a new field called username containing the characters matched after user=. This is useful when structured information exists only inside raw event text. The regex command would instead filter events based on whether the pattern matches. The other choices do not provide the appropriate syntax for named-field extraction. rex can be used against _raw or another specified field depending on where the desired information is stored.

Question 153: Which SPL command can display the first 25 results from the current result set?

1. limit 25
2. head 25
3. first 25
4. top 25

Correct Answer: 2. head 25

Explanation :-

The head command limits the search results to the first specified number of events. Therefore, head 25 returns the first 25 results according to the current result order. It is useful for quickly inspecting a sample of events or limiting the amount of data processed by subsequent commands. top has a different purpose: it identifies the most frequent values of a field. The other choices are not the standard SPL commands for limiting results to the first 25 events. The ordering of the results determines which events are considered the first results.

Question 154: Which SPL command can return the last 10 results from the current result set?

1. head -10
2. tail 10
3. last 10
4. recent 10

Correct Answer: 2. tail 10

Explanation :-

The tail command returns the final results from the current search result set. tail 10 therefore returns the last ten results in the current ordering. This can be useful when inspecting the end of an ordered result set or when the newest events appear at the end of the results. head performs the opposite operation by returning the first results. The other choices are not the standard SPL commands for this task. Always consider how the results have been ordered before interpreting the events returned by tail.

Question 155: Which SPL command can count events by status and then display only statuses with more than 50 events?

1. stats count by status | where count > 50
2. count by status | filter count > 50
3. stats status count | having count > 50
4. top status | where status > 50

Correct Answer: 1. stats count by status | where count > 50

Explanation :-

The search first uses stats count by status to calculate an event count for each status value. The pipe sends those summary rows to where count > 50, which filters the aggregated results and retains only statuses whose count exceeds 50. This pattern is useful for threshold-based analysis after aggregation. The where command can evaluate fields created by previous commands, including statistical fields created by stats. The other options either use invalid syntax or attempt to compare the wrong field.

Question 156: Which SPL command can calculate the total bytes transferred by each user?

1. stats sum(bytes) by user
2. stats total(bytes) user
3. sum bytes grouped user
4. eventstats bytes by user

Correct Answer: 1. stats sum(bytes) by user

Explanation :-

The sum() statistical function adds numeric values, and the by user clause groups the calculation by user. Therefore, stats sum(bytes) by user returns the total number of bytes associated with each user in the matching events. This can be useful for traffic analysis, bandwidth reporting, or identifying users generating large amounts of data transfer. The other choices either use invalid syntax or do not perform the requested aggregation. Additional fields can be included in the grouping when totals need to be broken down by another dimension such as host or application.

Question 157: Which SPL command can add a running event count separately for each user?

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

Correct Answer: 1. streamstats count by user

Explanation :-

The streamstats command can calculate running statistics, and the by clause allows the calculation to be maintained separately for each group. streamstats count by user therefore creates a cumulative event count as events are processed for each user. Unlike stats count by user, which produces a summary row for each user, streamstats retains individual events and adds the running value to them. This is useful when analyzing the progression of activity over time or within an ordered event sequence. The result depends on the ordering of the events entering the command.

Question 158: Which SPL command can remove a field named password from the output?

1. fields – password
2. delete password
3. remove password
4. drop password

Correct Answer: 1. fields – password

Explanation :-

The fields command can exclude fields from search results by using a minus sign. fields – password removes the password field from the resulting output while retaining other fields. This is useful when preparing reports or dashboards and when unnecessary sensitive information should not be displayed. The other commands are not standard SPL syntax for removing a field from the result set. The fields command can also be used positively to retain only selected fields, making it useful for controlling the final structure of search results.

Question 159: Which SPL command can calculate the earliest and latest event for every host?

1. stats earliest(_time), latest(_time) by host
2. timechart earliest latest by host
3. stats first(_time), last(_time) host
4. events earliest latest host

Correct Answer: 1. stats earliest(_time), latest(_time) by host

Explanation :-

The stats command can calculate both earliest(_time) and latest(_time) for each host. The by host clause ensures that the calculations are performed separately for every host represented in the search results. This can help identify the activity window of individual systems during an investigation. The selected search time range still determines which events are considered. The other choices either use different functions or invalid syntax. Combining earliest and latest timestamps is useful for understanding when a host first and last generated matching activity.

Question 160: Which SPL command can present user, host, and status as a final ordered table?

1. fields user host status
2. table user host status
3. select user host status
4. format user host status

Correct Answer: 2. table user host status

Explanation :-

The table command presents specified fields as columns in the order they are listed. table user host status therefore creates a concise table containing those three fields in that sequence. It is commonly used near the end of a search when the results need to be formatted for reporting or inspection. The fields command can also control which fields remain, but table is specifically intended to organize the final output into columns. The other choices are not standard SPL commands for creating this type of final tabular presentation.