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

 

Question 61. An analyst wants to count events by host and display the results from the highest count to the lowest count. Which SPL search is most appropriate?

1. stats count by host | sort -count
2. stats host count | order descending
3. count by host | sort count
4. table host count | reverse

Correct Answer: 1. stats count by host | sort -count

Explanation :-

The stats count by host command creates a count for each unique host. The resulting count field can then be sorted in descending order with sort -count. The minus sign before the field name specifies descending order. This search pattern is useful for identifying the hosts that generate the greatest number of events. The other options do not use valid SPL syntax for combining grouped counting with descending sorting. Therefore, stats count by host | sort -count correctly produces host counts ordered from the highest to the lowest.

Question 62. Which SPL command can be used to create a field based on a conditional expression such as assigning “High” when a value exceeds 100 and “Low” otherwise?

1. table
2. eval
3. sort
4. dedup

Correct Answer: 2. eval

Explanation :-

The eval command can create calculated fields using conditional functions such as if(). For example, eval level=if(value>100,”High”,”Low”) creates a new field called level based on the value of another field. This capability is useful for categorizing events, normalizing data, and creating fields needed for later analysis. table controls displayed fields, sort changes result ordering, and dedup removes duplicate results. Therefore, eval is the appropriate SPL command when a new field needs to be generated from a conditional expression.

Question 63. An analyst needs to identify the number of unique users that accessed an application. Which SPL search is appropriate?

1. stats count(user)
2. stats values(user)
3. stats dc(user)
4. stats unique(user)

Correct Answer: 3. 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 in the search results. This differs from count(user), which counts occurrences and can count the same user multiple times. values(user) returns distinct user values rather than the numeric count, while unique(user) is not the standard SPL statistical function for this purpose. Therefore, stats dc(user) is the appropriate search when an analyst needs to determine how many distinct users accessed an application.

Question 64. Which SPL command can calculate statistics across all events and append the resulting values to each individual event?

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

Correct Answer: 1. eventstats

Explanation :-

The eventstats command calculates aggregate statistics and adds those results to the original events. For example, eventstats avg(bytes) as avg_bytes by host can calculate the average bytes for each host and make that value available on each corresponding event. Unlike stats, eventstats does not replace the original event stream with only summary rows. timechart creates time-series summaries, while table formats selected fields. Therefore, eventstats is the correct command when aggregate values need to remain attached to individual events.

Question 65. An analyst wants to calculate a running count of events as they appear in the search results. Which SPL command is appropriate?

1. stats
2. streamstats
3. eventstats
4. count

Correct Answer: 2. streamstats

Explanation :-

The streamstats command calculates statistics incrementally as events pass through the search pipeline. A search such as streamstats count as running_count can create a cumulative count that increases as each event is processed. This is useful for running totals, sequence analysis, and calculations that depend on the order of events. stats produces aggregate results, eventstats adds aggregate values to events, and count by itself is not an SPL command for creating a running count. Therefore, streamstats is the appropriate command for this requirement.

Question 66. Which SPL command is commonly used to generate a table showing the count of events over time and split the results by a field such as status?

1. transaction
2. timechart
3. rename
4. dedup

Correct Answer: 2. timechart

Explanation :-

The timechart command is designed for time-series statistical analysis. It can create time buckets and split results by a field, allowing analysts to compare categories over time. For example, timechart count by status can show the number of events for each status across time intervals. transaction groups related events, rename changes field names, and dedup removes duplicate results. Therefore, timechart is the appropriate command when an analyst wants to visualize event counts over time while separating the results by a field such as status.

Question 67. An administrator wants to identify the first and last events associated with each user. Which SPL approach can provide these values during statistical aggregation?

1. stats earliest(_time) latest(_time) by user
2. table first(_time) last(_time) by user
3. sort earliest latest by user
4. timechart first last by user

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

Explanation :-

The stats command can use the earliest() and latest() functions to determine the earliest and latest values of a field for each group. Using _time provides the first and last event timestamps for each user. This is useful for analyzing user activity windows, session behavior, or the period during which an account was active. The other options do not represent valid SPL syntax for this grouped calculation. Therefore, stats earliest(_time) latest(_time) by user is the appropriate search pattern for identifying the first and last event times for each user.

Question 68. Which SPL command can extract a field from raw text using a named capture group in a regular expression?

1. regex
2. rex
3. extract
4. parse

Correct Answer: 2. rex

Explanation :-

The rex command uses regular expressions to extract information from event text. A named capture group can create a field from the portion of text matched by the expression. This is especially useful when structured information is present in _raw but is not already available as a field. The regex command is primarily used to filter events based on a pattern rather than create extracted fields. The other commands listed do not represent the standard approach for named regular-expression extraction. Therefore, rex is the appropriate command for this requirement.

Question 69. An analyst wants to keep only the first event for each unique session_id. Which SPL command should be used?

1. dedup session_id
2. unique session_id
3. first session_id
4. distinct session_id

Correct Answer: 1. dedup session_id

Explanation :-

The dedup command removes duplicate results based on one or more fields. When used as dedup session_id, it keeps a single result for each unique session ID according to the ordering of the results at that point in the search pipeline. This makes it useful when an analyst needs one representative event per session. The other commands shown are not standard SPL commands for deduplicating results by a field. Therefore, dedup session_id is the appropriate command when the objective is to retain one event for each unique session ID.

Question 70. Which SPL command can be used to filter results after a statistical aggregation has been performed?

1. where
2. fields
3. rename
4. makemv

Correct Answer: 1. where

Explanation :-

The where command is commonly used after commands such as stats to filter the resulting rows according to calculated fields. For example, stats count by host | where count > 100 returns only hosts whose event count exceeds 100. This is different from an initial search filter, which operates before later processing. fields controls field availability, rename changes field names, and makemv creates multivalue fields. Therefore, where is the appropriate command for filtering aggregated results based on a calculated value.

Question 71. An analyst needs to search for events where a numeric field is between 100 and 500. Which SPL approach is appropriate?

1. where value > 100 AND value < 500
2. search value BETWEEN 100 500
3. where value=100-500
4. filter value 100..500

Correct Answer: 1. where value > 100 AND value < 500

Explanation :-

The where command supports comparison operators and Boolean expressions, allowing an analyst to define a numeric range explicitly. where value > 100 AND value < 500 retains events whose value falls within the specified boundaries. The exact use of >= or <= can be selected when the boundary values should also be included. The other examples do not represent the standard SPL syntax for this type of numeric comparison. Therefore, where with two comparison expressions joined by AND is an appropriate approach.

Question 72. Which SPL function can calculate the average of a numeric field during statistical processing?

1. mean()
2. average()
3. avg()
4. middle()

Correct Answer: 3. avg()

Explanation :-

The avg() statistical function calculates the arithmetic average of numeric values. It is commonly used with the stats, eventstats, and related commands. For example, stats avg(response_time) by host calculates the average response time separately for each host. mean() and average() are not the standard SPL function names used for this calculation, while middle() does not represent the average function. Therefore, avg() is the appropriate statistical function when an analyst needs to calculate the average of a numeric field.

Question 73. An analyst wants to identify events generated by either web01 or web02. Which SPL search is appropriate?

1. host=web01 AND host=web02
2. host IN web01,web02
3. (host=web01 OR host=web02)
4. host=web01 + web02

Correct Answer: 3. (host=web01 OR host=web02)

Explanation :-

The OR operator allows a search to match either of multiple conditions. (host=web01 OR host=web02) therefore returns events generated by either specified host. Parentheses make the grouping explicit and are especially useful when the search includes additional conditions. Using AND would require the same event to have both host values, which is not the intended condition. The other syntax examples do not represent the standard SPL approach for this basic alternative-field-value search. Therefore, the third search is appropriate.

Question 74. Which SPL command can limit the number of search results to the first 20 events?

1. top 20
2. head 20
3. limit 20
4. first 20

Correct Answer: 2. head 20

Explanation :-

The head command limits the search results to the first specified number of events. Therefore, head 20 returns the first 20 events available at that point in the search pipeline. It is useful when an analyst wants to inspect a small sample or limit processing for subsequent commands. top 20 performs frequency analysis rather than simply returning the first 20 events, while limit and first are not the standard SPL commands for this purpose. Therefore, head 20 is the correct command.

Question 75. An analyst wants to combine two fields into a single field containing their values separated by a hyphen. Which SPL command can perform this transformation?

1. eval
2. stats
3. dedup
4. sort

Correct Answer: 1. eval

Explanation :-

The eval command can create a new field by combining existing fields with string operations. For example, an analyst can construct a field containing host and source separated by a hyphen using an appropriate eval expression. This type of transformation is performed on the event data during search processing. stats is used for aggregation, dedup removes duplicate results, and sort changes result order. Therefore, eval is the appropriate SPL command for combining existing field values into a new formatted field.

Question 76. Which SPL command can search for a pattern in a field and retain only events that match the regular expression?

1. rex
2. regex
3. match
4. pattern

Correct Answer: 2. regex

Explanation :-

The regex command filters search results using a regular expression. It can be applied to a specified field so that only events matching the pattern remain in the result set. This differs from rex, which is generally used to extract or transform field values using regular expressions. match can be used as an evaluation function in appropriate expressions, but it is not the dedicated filtering command represented here. Therefore, regex is the appropriate SPL command when the requirement is to retain only events matching a regular-expression pattern.

Question 77. An administrator wants to calculate the number of events for each combination of user and action. Which SPL search is appropriate?

1. stats count by user action
2. stats count user, action
3. table count by user action
4. count user AND action

Correct Answer: 1. stats count by user action

Explanation :-

The stats command can group results by multiple fields. stats count by user action produces a count for each unique combination of the user and action fields. This allows analysts to determine how frequently each user performed each action. The other options do not use the standard SPL syntax for grouped aggregation. Therefore, stats count by user action is the appropriate search for calculating event counts for every user-and-action combination.

Question 78. Which SPL command can create a summary field containing the total count of events for each group while preserving the original event records?

1. stats
2. eventstats
3. table
4. top

Correct Answer: 2. eventstats

Explanation :-

The eventstats command calculates aggregate values and adds them back to the original events. For example, eventstats count by user can provide each event with the total number of events associated with its user. This allows the analyst to compare an individual event with a group-level statistic while retaining the original event information. stats would instead produce a summarized result set, while table formats fields and top provides frequency-oriented results. Therefore, eventstats is the appropriate command when group-level counts must remain attached to the original events.

Question 79. An analyst wants to find the 95th percentile of response_time for each application. Which SPL search is appropriate?

1. stats percentile(response_time,95) by application
2. stats p95(response_time) by application
3. stats 95th(response_time) by application
4. stats percent(response_time,95) by application

Correct Answer: 2. stats p95(response_time) by application

Explanation :-

The p95() statistical function calculates the 95th percentile of a numeric field. Using stats p95(response_time) by application produces a separate 95th-percentile value for each application. Percentile analysis is useful for understanding the upper range of response times and identifying performance behavior that an average may not reveal. The other examples do not represent the standard SPL function syntax for this calculation. Therefore, stats p95(response_time) by application is the appropriate search for determining the 95th percentile of response time for each application.

Question 80. An analyst wants to remove a field named password from the search results before continuing with additional processing. Which SPL command is appropriate?

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

Correct Answer: 1. fields – password

Explanation :-

The fields command can exclude a specified field from the search results by placing a minus sign before the field name. Therefore, fields – password removes the password field from the results and from subsequent processing in the search pipeline. This can be useful for reducing unnecessary data or preventing sensitive fields from being carried through later commands. The commands remove, delete, and drop do not represent the standard SPL syntax for excluding a field in this context. Therefore, fields – password is the appropriate command.