{"id":21673,"date":"2026-09-25T06:49:51","date_gmt":"2026-09-25T06:49:51","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=21673"},"modified":"2026-09-25T06:49:51","modified_gmt":"2026-09-25T06:49:51","slug":"splunk-splk-5002-practice-test-questions-and-exam-dumps-part-7-q121-140","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/splunk-splk-5002-practice-test-questions-and-exam-dumps-part-7-q121-140\/","title":{"rendered":"Splunk SPLK-5002 Practice Test Questions and Exam Dumps Part 7 Q121-140"},"content":{"rendered":"<h2><b>View Full <\/b><a href=\"https:\/\/www.examlabs.com\/splk-5002-exam-dumps\"><b>Splunk SPLK-5002 Exam Dumps<\/b><\/a><b> and Practice Test Dumps<\/b><\/h2>\n<p>&nbsp;<\/p>\n<p><b>Question 121: Which SPL command can be used to calculate the sum of <\/b><b>bytes<\/b><b> for each <\/b><b>host<\/b><b>?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats total(bytes) by host<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats sum(bytes) by host<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">sum bytes by host<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats add(bytes) by host<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2. <\/b><b>stats sum(bytes) by host<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">stats sum(bytes) by host<\/span><span style=\"font-weight: 400;\"> command calculates the total value of the <\/span><span style=\"font-weight: 400;\">bytes<\/span><span style=\"font-weight: 400;\"> field separately for each host. The <\/span><span style=\"font-weight: 400;\">sum()<\/span><span style=\"font-weight: 400;\"> statistical function adds the numeric values, while the <\/span><span style=\"font-weight: 400;\">by host<\/span><span style=\"font-weight: 400;\"> clause creates a separate group for every host. This is useful when analyzing network traffic, storage activity, or application data volumes. The other choices use invalid statistical functions or incorrect SPL syntax. <\/span><span style=\"font-weight: 400;\">stats<\/span><span style=\"font-weight: 400;\"> can perform multiple calculations in the same search, so additional metrics such as <\/span><span style=\"font-weight: 400;\">count<\/span><span style=\"font-weight: 400;\"> or <\/span><span style=\"font-weight: 400;\">avg(bytes)<\/span><span style=\"font-weight: 400;\"> can also be included when a broader summary is required.<\/span><\/p>\n<p><b>Question 122: Which SPL command can remove duplicate events based on both <\/b><b>host<\/b><b> and <\/b><b>user<\/b><b>?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">dedup host,user<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">unique host,user<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">deduplicate host and user<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">remove duplicates host,user<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1. <\/b><b>dedup host,user<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">dedup<\/span><span style=\"font-weight: 400;\"> command removes duplicate search results based on the values of specified fields. Using <\/span><span style=\"font-weight: 400;\">dedup host,user<\/span><span style=\"font-weight: 400;\"> means Splunk considers the combination of <\/span><span style=\"font-weight: 400;\">host<\/span><span style=\"font-weight: 400;\"> and <\/span><span style=\"font-weight: 400;\">user<\/span><span style=\"font-weight: 400;\"> when determining duplicates. One result is retained for each unique combination encountered. This can be useful when the same user appears repeatedly on the same host and only one representative event is required. The other choices are not standard SPL syntax. Because <\/span><span style=\"font-weight: 400;\">dedup<\/span><span style=\"font-weight: 400;\"> keeps the first matching result, the current ordering of events can affect which event remains in the final results.<\/span><\/p>\n<p><b>Question 123: Which SPL command can create a new field containing the result of adding two numeric fields?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">calculate total=field1+field2<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats total=field1+field2<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">eval total=field1+field2<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">add total=field1+field2<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3. <\/b><b>eval total=field1+field2<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">eval<\/span><span style=\"font-weight: 400;\"> command is used to create or modify fields using expressions. <\/span><span style=\"font-weight: 400;\">eval total=field1+field2<\/span><span style=\"font-weight: 400;\"> creates a new field called <\/span><span style=\"font-weight: 400;\">total<\/span><span style=\"font-weight: 400;\"> containing the sum of the two numeric fields. This is useful for deriving values that are not directly present in the original events, such as combining inbound and outbound traffic or calculating a total duration. <\/span><span style=\"font-weight: 400;\">stats<\/span><span style=\"font-weight: 400;\"> is designed for aggregation rather than event-level field creation. The other commands are not valid SPL syntax for this operation. <\/span><span style=\"font-weight: 400;\">eval<\/span><span style=\"font-weight: 400;\"> also supports conditional logic, string functions, mathematical operations, and many other expressions.<\/span><\/p>\n<p><b>Question 124: Which SPL command can display the number of events over time with five-minute intervals?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">timechart span=5m count<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">timechart interval=5m events<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">chart time=5m count<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">timebucket count span=5m<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1. <\/b><b>timechart span=5m count<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">timechart<\/span><span style=\"font-weight: 400;\"> command creates time-based statistical results, and the <\/span><span style=\"font-weight: 400;\">span<\/span><span style=\"font-weight: 400;\"> argument controls the size of each time bucket. Therefore, <\/span><span style=\"font-weight: 400;\">timechart span=5m count<\/span><span style=\"font-weight: 400;\"> counts events in five-minute intervals. This is useful for identifying traffic spikes, changes in activity, and recurring patterns. The <\/span><span style=\"font-weight: 400;\">_time<\/span><span style=\"font-weight: 400;\"> field provides the time dimension used by <\/span><span style=\"font-weight: 400;\">timechart<\/span><span style=\"font-weight: 400;\">. The other choices use incorrect command or argument syntax. Choosing an appropriate span is important because very small intervals can produce noisy results, while very large intervals may hide short-lived changes in activity.<\/span><\/p>\n<p><b>Question 125: Which SPL command can extract an IP address from the <\/b><b>_raw<\/b><b> field using a named capture group?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">regex _raw &#8220;(?&lt;ip&gt;\\d+\\.\\d+\\.\\d+\\.\\d+)&#8221;<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">rex field=_raw &#8220;(?&lt;ip&gt;\\d+\\.\\d+\\.\\d+\\.\\d+)&#8221;<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">extract field=_raw &#8220;(?&lt;ip&gt;\\d+\\.\\d+\\.\\d+\\.\\d+)&#8221;<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">capture field=_raw ip<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2. <\/b><b>rex field=_raw &#8220;(?&lt;ip&gt;\\d+\\.\\d+\\.\\d+\\.\\d+)&#8221;<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">rex<\/span><span style=\"font-weight: 400;\"> command can use a regular expression with a named capture group to extract information into a new field. In this example, the named group <\/span><span style=\"font-weight: 400;\">(?&lt;ip&gt;&#8230;)<\/span><span style=\"font-weight: 400;\"> creates an <\/span><span style=\"font-weight: 400;\">ip<\/span><span style=\"font-weight: 400;\"> field containing the matched IPv4 address. The <\/span><span style=\"font-weight: 400;\">regex<\/span><span style=\"font-weight: 400;\"> command is primarily used to filter events rather than create extracted fields. <\/span><span style=\"font-weight: 400;\">rex<\/span><span style=\"font-weight: 400;\"> is therefore the appropriate choice when the goal is extraction. In real-world searches, a more comprehensive IP pattern may be required depending on the data. Regular-expression extraction is particularly useful when important fields exist only inside unstructured raw event text.<\/span><\/p>\n<p><b>Question 126: Which SPL command can return events where the <\/b><b>user<\/b><b> field exists?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">where user<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">search user=*<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">exists user<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">fieldexists user<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2. <\/b><b>search user=*<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">search user=*<\/span><span style=\"font-weight: 400;\"> expression matches events where the <\/span><span style=\"font-weight: 400;\">user<\/span><span style=\"font-weight: 400;\"> field has a value. This is a common SPL technique for filtering events based on field existence. It can be useful when some events contain a particular field while others do not. <\/span><span style=\"font-weight: 400;\">where<\/span><span style=\"font-weight: 400;\"> requires a valid expression, and simply specifying <\/span><span style=\"font-weight: 400;\">user<\/span><span style=\"font-weight: 400;\"> is not the standard way to test field existence there. The other commands are not standard SPL syntax for this operation. Field-existence filtering is especially useful when working with heterogeneous event data from multiple sourcetypes or applications.<\/span><\/p>\n<p><b>Question 127: Which SPL command can calculate the minimum and maximum values of <\/b><b>duration<\/b><b> for each application?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats min(duration), max(duration) by application<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats range(duration) by application<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats low(duration), high(duration) by application<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">minmax duration by application<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1. <\/b><b>stats min(duration), max(duration) by application<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">stats<\/span><span style=\"font-weight: 400;\"> command supports multiple statistical functions in one search. <\/span><span style=\"font-weight: 400;\">min(duration)<\/span><span style=\"font-weight: 400;\"> identifies the lowest duration and <\/span><span style=\"font-weight: 400;\">max(duration)<\/span><span style=\"font-weight: 400;\"> identifies the highest duration. Adding <\/span><span style=\"font-weight: 400;\">by application<\/span><span style=\"font-weight: 400;\"> produces separate minimum and maximum values for each application. This can help identify the performance range of different applications. The other choices either use nonstandard function names or do not provide the requested pair of metrics. Statistical summaries such as minimum, maximum, average, and percentile values can be combined to provide a more complete view of application performance.<\/span><\/p>\n<p><b>Question 128: Which SPL command can count events and group them by both <\/b><b>action<\/b><b> and <\/b><b>user<\/b><b>?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats count action,user<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats count by action,user<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">count events by action,user<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">eventstats action,user count<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2. <\/b><b>stats count by action,user<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">stats count by action,user<\/span><span style=\"font-weight: 400;\"> command counts matching events for each unique combination of <\/span><span style=\"font-weight: 400;\">action<\/span><span style=\"font-weight: 400;\"> and <\/span><span style=\"font-weight: 400;\">user<\/span><span style=\"font-weight: 400;\">. For example, it can show how many login, logout, download, or update actions were performed by each user. The <\/span><span style=\"font-weight: 400;\">count<\/span><span style=\"font-weight: 400;\"> function counts events, while the <\/span><span style=\"font-weight: 400;\">by<\/span><span style=\"font-weight: 400;\"> clause defines the grouping dimensions. The other choices use invalid or incomplete SPL syntax. Grouping by multiple fields is useful when analyzing relationships between two dimensions, especially when a simple count by only one field would not provide enough context.<\/span><\/p>\n<p><b>Question 129: Which SPL command can calculate a distinct count of users for each host?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats count(user) by host<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats unique(user) by host<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats dc(user) by host<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats users(user) by host<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3. <\/b><b>stats dc(user) by host<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">dc()<\/span><span style=\"font-weight: 400;\"> function calculates the distinct count of a field. Therefore, <\/span><span style=\"font-weight: 400;\">stats dc(user) by host<\/span><span style=\"font-weight: 400;\"> returns the number of unique users associated with each host. This is different from <\/span><span style=\"font-weight: 400;\">count(user)<\/span><span style=\"font-weight: 400;\">, which counts events containing the user field and can count the same user multiple times. Distinct counts are useful when measuring unique identities, devices, IP addresses, or sessions. The <\/span><span style=\"font-weight: 400;\">by host<\/span><span style=\"font-weight: 400;\"> clause ensures that the calculation is performed separately for each host. This type of search is commonly used for access analysis and identifying systems accessed by many different users.<\/span><\/p>\n<p><b>Question 130: Which SPL command can sort results by <\/b><b>host<\/b><b> in ascending order?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">sort host<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">sort -host<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">orderby host ascending<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">sort +host descending<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1. <\/b><b>sort host<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">sort<\/span><span style=\"font-weight: 400;\"> command orders search results according to one or more fields. By default, specifying <\/span><span style=\"font-weight: 400;\">sort host<\/span><span style=\"font-weight: 400;\"> sorts the results by <\/span><span style=\"font-weight: 400;\">host<\/span><span style=\"font-weight: 400;\"> in ascending order. A minus sign, such as <\/span><span style=\"font-weight: 400;\">sort -host<\/span><span style=\"font-weight: 400;\">, requests descending order. Sorting is useful when organizing results alphabetically, numerically, or chronologically before displaying or processing them. The other choices either reverse the requested order or use invalid syntax. When sorting numeric values, users should also consider the data type and field contents to ensure the resulting order represents the intended comparison.<\/span><\/p>\n<p><b>Question 131: Which SPL command can calculate the average, minimum, and maximum <\/b><b>response_time<\/b><b> for each <\/b><b>host<\/b><b>?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats avg(response_time), min(response_time), max(response_time) by host<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats performance(response_time) by host<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats average,min,max response_time by host<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">calculate avg min max response_time by host<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1. <\/b><b>stats avg(response_time), min(response_time), max(response_time) by host<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">stats<\/span><span style=\"font-weight: 400;\"> command can calculate multiple statistical measures simultaneously. In this search, <\/span><span style=\"font-weight: 400;\">avg(response_time)<\/span><span style=\"font-weight: 400;\"> provides the average, <\/span><span style=\"font-weight: 400;\">min(response_time)<\/span><span style=\"font-weight: 400;\"> provides the lowest value, and <\/span><span style=\"font-weight: 400;\">max(response_time)<\/span><span style=\"font-weight: 400;\"> provides the highest value for each host. The <\/span><span style=\"font-weight: 400;\">by host<\/span><span style=\"font-weight: 400;\"> clause creates a separate set of statistics for each host. This combination is useful for comparing performance across systems and understanding both typical and extreme response times. The other choices do not use valid SPL statistical syntax. Multiple aggregations can also be given aliases to make the resulting field names easier to interpret.<\/span><\/p>\n<p><b>Question 132: Which SPL command can filter results after <\/b><b>stats count by host<\/b><b> to show only hosts with more than 100 events?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">where count &gt; 100<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">search events &gt; 100<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">filter count greater 100<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">having count &gt; 100<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1. <\/b><b>where count &gt; 100<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">After <\/span><span style=\"font-weight: 400;\">stats count by host<\/span><span style=\"font-weight: 400;\">, the resulting rows contain a <\/span><span style=\"font-weight: 400;\">count<\/span><span style=\"font-weight: 400;\"> field. The <\/span><span style=\"font-weight: 400;\">where<\/span><span style=\"font-weight: 400;\"> command can then evaluate that calculated field and retain only rows where <\/span><span style=\"font-weight: 400;\">count<\/span><span style=\"font-weight: 400;\"> is greater than 100. A complete search can therefore be written as <\/span><span style=\"font-weight: 400;\">stats count by host | where count &gt; 100<\/span><span style=\"font-weight: 400;\">. This technique is useful for threshold-based reporting and identifying high-volume hosts. The other choices either use invalid SPL syntax or commands that are not standard for filtering statistical results. <\/span><span style=\"font-weight: 400;\">where<\/span><span style=\"font-weight: 400;\"> is especially useful when the field being tested was created by an earlier command.<\/span><\/p>\n<p><b>Question 133: Which SPL command can add a sequential row number to events as they are processed?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats count<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">eventstats count<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">streamstats count<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">rowcount<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3. <\/b><b>streamstats count<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">streamstats<\/span><span style=\"font-weight: 400;\"> command can calculate a running count as events are processed. A search such as <\/span><span style=\"font-weight: 400;\">streamstats count as row_number<\/span><span style=\"font-weight: 400;\"> creates a sequential count that can serve as a row number for the current result order. Unlike <\/span><span style=\"font-weight: 400;\">stats<\/span><span style=\"font-weight: 400;\">, which summarizes all events into aggregate results, <\/span><span style=\"font-weight: 400;\">streamstats<\/span><span style=\"font-weight: 400;\"> preserves the individual events while adding the running calculation. This can be useful when analyzing event sequences or identifying the position of events within a result set. The final numbering depends on the order in which Splunk processes the search results.<\/span><\/p>\n<p><b>Question 134: Which SPL command can display only events from the <\/b><b>authentication<\/b><b> sourcetype?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">source=authentication<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">sourcetype=authentication<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">type=authentication<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">eventtype=authentication<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2. <\/b><b>sourcetype=authentication<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">sourcetype<\/span><span style=\"font-weight: 400;\"> field identifies the type of data associated with an event in Splunk. Searching for <\/span><span style=\"font-weight: 400;\">sourcetype=authentication<\/span><span style=\"font-weight: 400;\"> returns events whose sourcetype matches that value. Sourcetype filtering is commonly used to focus a search on a particular type of log data, such as authentication, web, firewall, or application events. <\/span><span style=\"font-weight: 400;\">source<\/span><span style=\"font-weight: 400;\"> identifies the input source, while <\/span><span style=\"font-weight: 400;\">eventtype<\/span><span style=\"font-weight: 400;\"> refers to a configured event type and is not interchangeable with sourcetype. Using the correct metadata field is important when narrowing searches to the intended dataset.<\/span><\/p>\n<p><b>Question 135: Which SPL command can retrieve the most recent 20 results from the current result set?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">head 20<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">tail 20<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">latest 20<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">recent 20<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2. <\/b><b>tail 20<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">tail<\/span><span style=\"font-weight: 400;\"> command returns the last results from the current search result set. Therefore, <\/span><span style=\"font-weight: 400;\">tail 20<\/span><span style=\"font-weight: 400;\"> returns the final 20 results in the current ordering. If the results have been ordered chronologically with the newest events at the end, this can be used to inspect the most recent events. <\/span><span style=\"font-weight: 400;\">head 20<\/span><span style=\"font-weight: 400;\"> instead returns the first 20 results. The commands <\/span><span style=\"font-weight: 400;\">latest<\/span><span style=\"font-weight: 400;\"> and <\/span><span style=\"font-weight: 400;\">recent<\/span><span style=\"font-weight: 400;\"> shown here are not the standard SPL commands for limiting results in this way. Result ordering should always be considered when interpreting the output of <\/span><span style=\"font-weight: 400;\">tail<\/span><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><b>Question 136: Which SPL command can create a field that labels events as <\/b><b>High<\/b><b> when <\/b><b>severity<\/b><b> is 4 or greater and <\/b><b>Normal<\/b><b> otherwise?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">eval priority=if(severity&gt;=4,&#8221;High&#8221;,&#8221;Normal&#8221;)<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">where priority=if(severity&gt;=4,&#8221;High&#8221;,&#8221;Normal&#8221;)<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats priority=if(severity&gt;=4,&#8221;High&#8221;,&#8221;Normal&#8221;)<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">rename priority=if(severity&gt;=4,&#8221;High&#8221;,&#8221;Normal&#8221;)<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1. <\/b><b>eval priority=if(severity&gt;=4,&#8221;High&#8221;,&#8221;Normal&#8221;)<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">eval<\/span><span style=\"font-weight: 400;\"> command can create a calculated field using the <\/span><span style=\"font-weight: 400;\">if()<\/span><span style=\"font-weight: 400;\"> function. In this example, <\/span><span style=\"font-weight: 400;\">priority<\/span><span style=\"font-weight: 400;\"> becomes <\/span><span style=\"font-weight: 400;\">High<\/span><span style=\"font-weight: 400;\"> when <\/span><span style=\"font-weight: 400;\">severity<\/span><span style=\"font-weight: 400;\"> is 4 or greater and <\/span><span style=\"font-weight: 400;\">Normal<\/span><span style=\"font-weight: 400;\"> otherwise. Conditional field creation is useful for categorizing events, applying business logic, and simplifying later analysis. <\/span><span style=\"font-weight: 400;\">where<\/span><span style=\"font-weight: 400;\"> is used to filter results rather than create this type of classification, while <\/span><span style=\"font-weight: 400;\">stats<\/span><span style=\"font-weight: 400;\"> performs aggregation. <\/span><span style=\"font-weight: 400;\">rename<\/span><span style=\"font-weight: 400;\"> changes field names and cannot perform this conditional calculation. The resulting <\/span><span style=\"font-weight: 400;\">priority<\/span><span style=\"font-weight: 400;\"> field can then be used in later filtering, statistical analysis, or visualization.<\/span><\/p>\n<p><b>Question 137: Which SPL command can extract the domain from an email address stored in the <\/b><b>email<\/b><b> field?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">rex field=email &#8220;@(?&lt;domain&gt;[^ ]+)&#8221;<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">regex field=email &#8220;@(?&lt;domain&gt;[^ ]+)&#8221;<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">extract email domain<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">split email domain<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1. <\/b><b>rex field=email &#8220;@(?&lt;domain&gt;[^ ]+)&#8221;<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">rex<\/span><span style=\"font-weight: 400;\"> command can extract a portion of a field using a regular expression and a named capture group. In this example, the pattern captures the text following <\/span><span style=\"font-weight: 400;\">@<\/span><span style=\"font-weight: 400;\"> into a new field called <\/span><span style=\"font-weight: 400;\">domain<\/span><span style=\"font-weight: 400;\">. This is useful for transforming unstructured or semi-structured data into fields that can be analyzed with other SPL commands. <\/span><span style=\"font-weight: 400;\">regex<\/span><span style=\"font-weight: 400;\"> is primarily intended for filtering events rather than creating extracted fields. The other commands do not represent the appropriate SPL syntax for this extraction task. More restrictive patterns may be appropriate when the data requires strict email-domain validation.<\/span><\/p>\n<p><b>Question 138: Which SPL command can return the earliest and latest values of <\/b><b>_time<\/b><b> for the entire search result set?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats min(_time), max(_time)<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats earliest(_time), latest(_time)<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">timechart first(_time), last(_time)<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">eventtime earliest latest<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2. <\/b><b>stats earliest(_time), latest(_time)<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">stats<\/span><span style=\"font-weight: 400;\"> command with <\/span><span style=\"font-weight: 400;\">earliest(_time)<\/span><span style=\"font-weight: 400;\"> and <\/span><span style=\"font-weight: 400;\">latest(_time)<\/span><span style=\"font-weight: 400;\"> returns the earliest and latest event timestamps across the matching results. Because no <\/span><span style=\"font-weight: 400;\">by<\/span><span style=\"font-weight: 400;\"> clause is specified, the statistics are calculated for the entire result set rather than separately for groups. This can be useful for determining the actual event-time range represented by matching data. The selected Splunk time range still determines which events are eligible for the calculation. The other choices either use less appropriate functions or invalid syntax for directly returning the earliest and latest event timestamps.<\/span><\/p>\n<p><b>Question 139: Which SPL command can count events separately for each value of the <\/b><b>action<\/b><b> field and sort the results from highest count to lowest?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats count by action | sort -count<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">stats action count | sort count<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">count by action | descending count<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">top action | sort count<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1. <\/b><b>stats count by action | sort -count<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The search <\/span><span style=\"font-weight: 400;\">stats count by action | sort -count<\/span><span style=\"font-weight: 400;\"> first calculates the number of events for each distinct <\/span><span style=\"font-weight: 400;\">action<\/span><span style=\"font-weight: 400;\"> value. The pipe then passes those summary results to <\/span><span style=\"font-weight: 400;\">sort -count<\/span><span style=\"font-weight: 400;\">, which orders them from the highest count to the lowest. This pattern is useful for quickly ranking activity types, such as login, download, update, or delete actions. <\/span><span style=\"font-weight: 400;\">stats<\/span><span style=\"font-weight: 400;\"> performs the aggregation, while <\/span><span style=\"font-weight: 400;\">sort<\/span><span style=\"font-weight: 400;\"> controls the final ordering. The other choices do not correctly combine the required aggregation and descending sort operations.<\/span><\/p>\n<p><b>Question 140: Which SPL command can display a selected set of fields in a specific column order?<\/b><\/p>\n<ol>\n<li><b><\/b> <span style=\"font-weight: 400;\">fields user host status<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">table user host status<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">select user host status<\/span><\/li>\n<li><b><\/b> <span style=\"font-weight: 400;\">columns user host status<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2. <\/b><b>table user host status<\/b><\/p>\n<p><b>Explanation :-<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">table<\/span><span style=\"font-weight: 400;\"> command creates a tabular result containing the specified fields in the order provided. For example, <\/span><span style=\"font-weight: 400;\">table user host status<\/span><span style=\"font-weight: 400;\"> produces columns in the sequence <\/span><span style=\"font-weight: 400;\">user<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">host<\/span><span style=\"font-weight: 400;\">, and <\/span><span style=\"font-weight: 400;\">status<\/span><span style=\"font-weight: 400;\">. This is particularly useful for producing clean, report-ready output after filtering or aggregation. Although <\/span><span style=\"font-weight: 400;\">fields<\/span><span style=\"font-weight: 400;\"> can control which fields are retained, <\/span><span style=\"font-weight: 400;\">table<\/span><span style=\"font-weight: 400;\"> is specifically designed to present selected fields as columns in a defined order. The other commands are not standard SPL commands for this purpose. Using <\/span><span style=\"font-weight: 400;\">table<\/span><span style=\"font-weight: 400;\"> near the end of a search can make final results easier to read and interpret.<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>View Full Splunk SPLK-5002 Exam Dumps and Practice Test Dumps &nbsp; Question 121: Which SPL command can be used to calculate the sum of bytes for each host? stats total(bytes) by host stats sum(bytes) by host sum bytes by host stats add(bytes) by host Correct Answer: 2. stats sum(bytes) by host Explanation :- The stats [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1648,1647],"tags":[],"_links":{"self":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/21673"}],"collection":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/comments?post=21673"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/21673\/revisions"}],"predecessor-version":[{"id":21674,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/21673\/revisions\/21674"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=21673"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=21673"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=21673"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}