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

 

Question 161: Which SPL command can calculate the number of events for each combination of host and sourcetype?

1. stats count by host,sourcetype
2. count host,sourcetype
3. stats events host and sourcetype
4. eventstats host,sourcetype count

Correct Answer: 1. stats count by host,sourcetype

Explanation :-

The stats count by host,sourcetype command counts events for every unique combination of host and sourcetype. The count function counts the matching events, while the by clause determines the fields used for grouping. This is useful when analyzing how different data types are distributed across individual hosts. The other choices do not use valid SPL syntax for grouping and counting events. Multiple grouping fields allow a search to produce more detailed summaries than grouping by a single field, which is useful for operational monitoring and data-source analysis.

Question 162: Which SPL command can calculate the total number of unique users in the search results?

1. stats count(user)
2. stats dc(user)
3. stats unique_count(user)
4. stats distinct(user)

Correct Answer: 2. stats dc(user)

Explanation :-

The dc() function calculates the distinct count of values in a field. Therefore, stats dc(user) returns the number of unique users represented by the matching events. This differs from count(user), which counts events containing a value for the user field and can count the same user repeatedly. Distinct counting is useful for measuring unique users, hosts, source IP addresses, or sessions. The other function names shown are not the standard SPL syntax for a distinct count. The calculation can also be grouped by another field when unique users need to be measured separately.

Question 163: Which SPL command can filter events where the host field starts with web?

1. regex host=”^web”
2. rex host=”^web”
3. where host begins web
4. search host startswith web

Correct Answer: 1. regex host=”^web”

Explanation :-

The regex command can filter events based on a regular expression. The pattern ^web matches values that begin with the characters web, so regex host=”^web” keeps hosts whose names start with that prefix. The caret ^ represents the beginning of the string in a regular expression. rex is primarily used for extraction or transformation rather than filtering. The other choices do not use standard SPL syntax for this pattern-based filtering. Regular expressions are useful when exact field matching is not sufficient and a flexible text pattern is required.

Question 164: Which SPL command can create a field named duration_seconds by converting milliseconds in duration_ms to seconds?

1. eval duration_seconds=duration_ms/1000
2. stats duration_seconds=duration_ms/1000
3. convert duration_seconds=duration_ms/1000
4. calculate duration_seconds=duration_ms/1000

Correct Answer: 1. eval duration_seconds=duration_ms/1000

Explanation :-

The eval command can perform arithmetic calculations and create a new field. eval duration_seconds=duration_ms/1000 divides the millisecond value by 1,000 to convert it into seconds. This is useful when source data uses one unit but analysis or reporting requires another. stats is designed for aggregation, while the other choices do not represent the appropriate SPL syntax for creating this calculated field. Arithmetic expressions can also be combined with other eval functions when more complex transformations are needed.

Question 165: Which SPL command can calculate the average duration separately for each sourcetype?

1. stats mean(duration) by sourcetype
2. stats avg(duration) by sourcetype
3. average duration grouped sourcetype
4. eventstats duration average sourcetype

Correct Answer: 2. stats avg(duration) by sourcetype

Explanation :-

The avg() function calculates the arithmetic mean of numeric values. stats avg(duration) by sourcetype calculates the average duration separately for each sourcetype. This can be useful when comparing processing times or performance characteristics across different types of event data. The by sourcetype clause determines the grouping, while stats performs the calculation. The other choices use invalid function names or syntax. Additional statistics such as min(), max(), and p95() can be added to the same search when a more detailed performance summary is required.

Question 166: Which SPL command can return only events generated by the host web01?

1. where hostname=web01
2. search host=web01
3. filter host web01
4. host=web01 only

Correct Answer: 2. search host=web01

Explanation :-

The search command filters events according to field-value conditions. search host=web01 returns events where the host field matches web01. This condition can also be placed directly in the initial search without explicitly writing the search command. Filtering by host is common when investigating activity from a specific server or endpoint. The other choices either reference the wrong field or use invalid SPL syntax. Combining host filtering with additional conditions can further narrow an investigation to a particular type of event or activity.

Question 167: Which SPL command can calculate the maximum bytes_out value for each user?

1. stats max(bytes_out) by user
2. stats highest(bytes_out) user
3. max bytes_out grouped user
4. stats large(bytes_out) by user

Correct Answer: 1. stats max(bytes_out) by user

Explanation :-

The max() statistical function returns the highest numeric value. Therefore, stats max(bytes_out) by user calculates the maximum outbound byte value associated with each user. This can be useful for identifying users associated with unusually large individual transfers. The by user clause creates a separate calculation for every distinct user. The other choices use invalid statistical function names or incorrect syntax. max() can be combined with other functions such as avg(), sum(), and p95() to provide a broader statistical profile of the same field.

Question 168: Which SPL command can calculate the running count of events for each host?

1. stats count by host
2. eventstats count by host
3. streamstats count by host
4. running count host

Correct Answer: 3. streamstats count by host

Explanation :-

The streamstats command calculates running statistics while retaining individual events. With streamstats count by host, Splunk maintains a separate running count for each host as events are processed. This differs from stats count by host, which produces one summary row per host, and from eventstats, which adds aggregate values rather than progressive running values. Running counts are useful when analyzing the progression of activity within an ordered event stream. The resulting values depend on the order of the events entering the streamstats command.

Question 169: Which SPL command can sort a result set by _time from newest to oldest?

1. sort _time
2. sort -_time
3. sort descending(_time)
4. orderby _time DESC

Correct Answer: 2. sort -_time

Explanation :-

The sort command controls the order of search results. Prefixing a field with a minus sign requests descending order, so sort -_time sorts timestamps from the newest to the oldest. This is useful when reviewing the most recent events first. By contrast, sort _time sorts in ascending order. The other choices use syntax that is not the standard SPL form for specifying descending order. Sorting by _time can be especially useful before commands such as head, tail, or streamstats when the order of events affects the interpretation of results.

Question 170: Which SPL command can count events by status and host, then present the results in a table?

1. stats count by status,host | table status host count
2. table status host count | stats count
3. count status,host | table
4. eventstats count status host | columns

Correct Answer: 1. stats count by status,host | table status host count

Explanation :-

The search first uses stats count by status,host to calculate event counts for each combination of status and host. The table command then formats the resulting fields as status, host, and count. This two-stage pattern is useful when a statistical summary needs to be presented in a specific column order. The pipe passes the results from one command to the next. The other choices either reverse the required operations or use invalid SPL syntax. Formatting the final output can make aggregated results easier to read in reports and dashboards.

Question 171: Which SPL command can calculate the number of distinct source IP addresses for the entire result set?

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

Correct Answer: 1. stats dc(source_ip)

Explanation :-

The dc() statistical function calculates the distinct count of values in a field. stats dc(source_ip) therefore returns the number of unique source IP addresses represented by the search results. Because there is no by clause, the calculation covers the entire result set. This can be useful when measuring the diversity of systems generating traffic or authentication attempts. count(source_ip) would count events with a source IP rather than unique addresses. The other choices are not the standard SPL syntax for distinct counting.

Question 172: Which SPL command can extract a field named ticket from text containing ticket=INC12345?

1. rex “ticket=(?<ticket>\w+)”
2. regex “ticket=(?<ticket>\w+)”
3. search “ticket=(?<ticket>\w+)”
4. capture “ticket=(?<ticket>\w+)”

Correct Answer: 1. rex “ticket=(?<ticket>\w+)”

Explanation :-

The rex command can extract data from event text using regular expressions and named capture groups. In this example, (?<ticket>\w+) creates a field called ticket containing the value following ticket=. This is useful when important information exists in raw event text but is not already extracted as a field. regex can test whether events match a pattern, but it does not serve the same extraction purpose. The other commands are not the standard SPL syntax for creating this named field through regular-expression extraction.

Question 173: Which SPL command can calculate the number of events where status equals 404?

1. stats count where status=404
2. stats count(eval(status=404))
3. stats count(status=404)
4. count status=404

Correct Answer: 2. stats count(eval(status=404))

Explanation :-

The stats count(eval(status=404)) pattern uses an evaluated Boolean expression inside the count() function. It counts the events for which the expression evaluates as true. This technique is useful when several conditional counts need to be calculated in a single stats command. For example, separate expressions can count 200, 404, and 500 responses without filtering the entire result set multiple times. The other choices do not use valid SPL syntax for conditional counting. Conditional aggregation is particularly useful for building compact summary reports.

Question 174: Which SPL command can return the top five source_ip values by frequency?

1. top limit=5 source_ip
2. stats count(source_ip) limit=5
3. head 5 source_ip
4. sort source_ip | head 5

Correct Answer: 1. top limit=5 source_ip

Explanation :-

The top command is designed to identify the most frequent values of a field. top limit=5 source_ip returns the five source IP addresses with the highest frequency in the matching events. This is useful for quickly identifying dominant traffic sources or frequently occurring addresses. head simply limits existing results and does not calculate frequency rankings. sort orders values but does not automatically count their frequency. The top command is therefore the direct SPL approach when the goal is to identify the most common field values.

Question 175: Which SPL command can create a multivalue field from a comma-separated tags field?

1. makemv delim=”,” tags
2. mvexpand delim=”,” tags
3. split tags by “,”
4. multivalue tags “,”

Correct Answer: 1. makemv delim=”,” tags

Explanation :-

The makemv command converts a delimited field into a multivalue field. makemv delim=”,” tags treats commas as separators and creates individual values within the tags multivalue field. This is useful when raw data stores multiple values in a single string but later analysis needs each value to be handled independently. mvexpand performs a different operation by expanding multivalue fields into separate results. The other choices are not the standard SPL syntax for creating a multivalue field from a comma-separated string.

Question 176: Which SPL command can expand each value of a multivalue tags field into a separate result?

1. makemv tags
2. mvexpand tags
3. mvcombine tags
4. expand tags

Correct Answer: 2. mvexpand tags

Explanation :-

The mvexpand command expands a multivalue field so that each value becomes associated with a separate result. If an event contains three values in tags, mvexpand tags creates separate results for those values while retaining the other event fields. This is useful when each value needs to be analyzed individually. makemv creates a multivalue field from a delimited string, while mvcombine has a different multivalue-related purpose. expand by itself is not the standard SPL command for expanding multivalue fields.

Question 177: Which SPL command can calculate the average response_time for each status while retaining the original events?

1. stats avg(response_time) by status
2. eventstats avg(response_time) as avg_response by status
3. streamstats avg(response_time) by status
4. average response_time by status

Correct Answer: 2. eventstats avg(response_time) as avg_response by status

Explanation :-

The eventstats command calculates an aggregate and adds that result back to the individual events. eventstats avg(response_time) as avg_response by status calculates an average response time for each status and places the corresponding value in avg_response on the events. This preserves the original event-level data while providing group-level context. stats would reduce the result set to summary rows, while streamstats would calculate a running average based on event order. eventstats is therefore useful when an aggregate needs to be compared directly with individual events.

Question 178: Which SPL command can return only the fields host and count from an existing result set?

1. fields host count
2. table host count
3. select host count
4. keep host count

Correct Answer: 1. fields host count

Explanation :-

The fields command can specify the fields that should remain in the search results. fields host count retains only those two fields and removes other fields from the output. This is useful when simplifying results before additional processing or when preparing concise search output. The table command can also display selected fields as columns, but fields is specifically used to control field inclusion or exclusion. The other choices are not standard SPL commands for selecting fields. Using field selection appropriately can reduce unnecessary data in the final result set.

Question 179: Which SPL command can calculate the sum of bytes_in and bytes_out as a new field named total_bytes?

1. stats total_bytes=bytes_in+bytes_out
2. eval total_bytes=bytes_in+bytes_out
3. sum total_bytes=bytes_in+bytes_out
4. calculate total_bytes bytes_in+bytes_out

Correct Answer: 2. eval total_bytes=bytes_in+bytes_out

Explanation :-

The eval command can perform arithmetic operations and create a new field. eval total_bytes=bytes_in+bytes_out adds the two existing numeric fields for each event and stores the result in total_bytes. This is useful when related measurements need to be combined into a single metric. stats is intended for aggregation across multiple events rather than creating an event-level calculated field. The other choices are not valid SPL syntax for this calculation. The resulting field can later be used by commands such as stats, where, or sort.

Question 180: Which SPL command can return the five events with the highest bytes_out values?

1. sort -bytes_out | head 5
2. top bytes_out limit=5
3. stats max(bytes_out) | head 5
4. head 5 | sort -bytes_out

Correct Answer: 1. sort -bytes_out | head 5

Explanation :-

The search sort -bytes_out | head 5 first sorts the events by bytes_out in descending order, placing the largest values first. head 5 then keeps the first five results, producing the five events with the highest bytes_out values. The top command is primarily designed to rank the most frequent values of a field rather than simply return the events with the largest numeric values. The other choices either calculate an aggregate or apply head before sorting, which would not reliably return the highest five values.