SPLK-1003 Advanced Searching and Statistics Practice Test 5 — 15 Questions

Question 1

A Splunk search uses a subsearch to find the top 10 client IPs and then retrieve all events from those IPs. The subsearch is:

`index=web sourcetype=access | search [ top clientip | fields clientip ]`

What does this search return?

Accepted Answer

All events from the top 10 most common client IPs.. The subsearch `[ top clientip | fields clientip ]` returns the top 10 most common client IPs as a list of values. The outer search then uses this list as a filter, effectively running `index=web sourcetype=access clientip= OR clientip= ...`. This retrieves all events from those IPs, not just the top 10 events. Option D correctly describes this behavior.

Answer

The top 10 client IPs in a table.

Answer

Only the top 10 events based on some field.

Answer

All events where the client IP appears more than once.

Question 2

Which TWO of the following are valid uses of the stats command in Splunk? (Choose two.)

Accepted Answer

stats values(ip) by user. The `stats` command in Splunk can compute aggregate statistics over fields. `values(ip) by user` is valid because `values()` returns a multivalue list of all distinct `ip` values for each `user`, which is a standard aggregation function. `count by host` is valid because `count` is a default aggregation that counts events per `host`.

Answer

stats mode(score) by group

Answer

stats median(response_time) by server

Answer

stats first(error_code) by session

Question 3

Which THREE of the following are benefits of using eventstats over stats when analyzing event logs? (Choose three.)

Accepted Answer

The original number of events is preserved.. Option A is correct because `eventstats` adds aggregate statistics (like sums or averages) to each original event without reducing the total number of events. Unlike `stats`, which collapses events into a single summary row per group, `eventstats` appends the aggregated value to every matching event, preserving the original event count and structure.

Answer

It uses less memory than stats.

Answer

It is always faster than stats.

Question 4

Which THREE of the following are correct characteristics of the transaction command? (Choose three.)

Accepted Answer

It groups related events based on common field values.. Option A is correct because the transaction command groups related events that share common field values, such as a session ID or user ID, to form a single transaction. This is a core function of the command, allowing you to correlate events across a dataset based on matching field content.

Answer

It can group events from different indexes.

Answer

By default, it retains all original fields from all events in the transaction.

Question 5

The exhibit shows a search that categorizes HTTP status codes and counts them. If the search returns only three categories, what is the most likely reason?

Accepted Answer

Some categories have zero events and are not displayed by default.. Option D is correct because the `stats` command in Splunk, by default, only returns results for categories that have at least one event. If a category (e.g., a specific HTTP status code range) has zero matching events, it will not appear in the output. This is a common behavior in aggregation commands, where null or zero-count results are suppressed unless explicitly requested with the `usenull=f` or `fillnull` options.

Answer

The stats command is filtering out events with null category.

Answer

The case function has a syntax error that truncates results.

Answer

The case statement does not cover status codes above 599.

Question 6

A security analyst notices that a timechart command is returning too many data points on the x-axis, making the chart unreadable. Which command modification should be used to reduce the number of data points?

Accepted Answer

| timechart span=1h count by host. The `timechart` command automatically bins events into time buckets based on the time range. By default, Splunk chooses a span that can result in many data points. Adding `span=1h` explicitly sets the bucket size to one hour, reducing the number of data points on the x-axis and making the chart readable.

Answer

| timechart partial=f count by host

Answer

| timechart useother=f count by host

Answer

| timechart limit=5 count by host

Question 7

A search returns raw events with a field 'response_time'. The analyst wants to calculate the average response time excluding any outliers that are more than 3 standard deviations from the mean. Which SPL approach is most efficient?

Accepted Answer

Use | eventstats avg, stdev(response_time) then | where response_time<=avg+3*stdev and response_time>=avg-3*stdev then | stats avg(response_time). Option A is correct because it uses `eventstats` to compute the global average and standard deviation of `response_time` across all events, then filters out outliers (values more than 3 standard deviations from the mean) with a `where` clause, and finally calculates the clean average with `stats avg(response_time)`. This approach is efficient because `eventstats` adds the aggregate values to each event without reducing the dataset, allowing a single pass through the data for filtering and aggregation.

Answer

Use | top response_time

Answer

Use | stats avg(response_time) and then filter with where

Answer

Use | outlier action=remove

Question 8

An administrator wants to correlate events from the same session but the events span up to 30 minutes apart. The transaction command is being considered. Which transaction option is most appropriate to ensure sessions are correctly grouped without artificially high memory usage?

Accepted Answer

| transaction sessionid maxspan=30m maxpause=5m. Option B is correct because the `maxspan=30m` ensures events spanning up to 30 minutes are grouped into the same transaction, while `maxpause=5m` prevents the transaction from remaining open indefinitely by closing it after 5 minutes of inactivity. This combination correctly groups sessions without keeping the transaction open for the full 30 minutes, which would artificially increase memory usage by holding events in the buffer.

Answer

| transaction sessionid maxspan=30m

Answer

| transaction sessionid maxevents=100

Answer

| transaction sessionid maxspan=30m keepevicted=true

Question 9

Which SPL command can be used to create a new field based on a conditional evaluation, such as setting a status field to 'critical' if a numeric threshold is exceeded?

Accepted Answer

| eval status=if(value>100,"critical","normal"). The `eval` command in SPL is used to create new fields or modify existing ones by evaluating expressions. The `if()` function within `eval` allows conditional logic, making `| eval status=if(value>100,"critical","normal")` the correct syntax to create a new field 'status' that is set to 'critical' when the numeric field 'value' exceeds 100, and 'normal' otherwise.

Answer

| makemv

Answer

| rex field=_raw

Answer

| convert status=if(value>100,"critical","normal")

Question 10

A search is producing results that include both internal and external traffic. The analyst wants to approximate the number of distinct destination IPs for internal traffic only, where internal IPs fall within the 10.0.0.0/8 range. Which approach is most efficient?

Accepted Answer

Use | where cidrmatch("10.0.0.0/8", src_ip) | stats dc(dest_ip). Option D is correct because it uses `where cidrmatch("10.0.0.0/8", src_ip)` to efficiently filter events to only those with source IPs in the 10.0.0.0/8 range before passing them to `stats dc(dest_ip)`. This approach leverages Splunk's built-in CIDR matching function, which performs a bitwise comparison on the IP address, and applies the filter early in the pipeline, reducing the dataset for the distinct count operation. It is the most efficient as it avoids unnecessary evaluations or string operations on non-matching events.

Answer

Use | search src_ip=10.* | stats dc(dest_ip)

Answer

Use | rex field=src_ip to extract first octet and then filter

Answer

Use | eval internal=if(cidrmatch("10.0.0.0/8", src_ip),1,0) | stats dc(dest_ip) by internal

Question 11

A search uses a subsearch to retrieve a list of user IDs, and then the main search uses IN operator to filter events. The subsearch is expected to return up to 10,000 values. What is a potential limitation and how can it be addressed?

Accepted Answer

The subsearch default limit is 10,000; to include more, use the | fields values command in the subsearch to return all values.. Option C is correct because the default limit for results returned by a subsearch in Splunk is 10,000. When using the `IN` operator in the main search, the subsearch must provide all necessary values; if more than 10,000 values are expected, the `| fields values` command can be used in the subsearch to override this limit and return all distinct values, as it bypasses the default result count restriction.

Answer

The subsearch returns only 10,000 results by default; use | head 50000 in subsearch.

Answer

The subsearch default limit is 50,000; no change needed.

Answer

The subsearch default limit is 100,000; no change needed.

Question 12

An analyst wants to remove events that contain the string 'debug' from a log. Which command should be used?

Accepted Answer

| search NOT debug. Option D is correct because the `| search NOT debug` command filters out all events containing the string 'debug' from the result set. In Splunk, the `NOT` operator before a search term excludes events that match that term, effectively removing them from the output. This is the standard way to exclude a specific string from search results.

Answer

| where NOT match(_raw,"debug")

Answer

| search debug | reverse

Answer

| search "debug" NOT

Question 13

When using the stats command with multiple BY fields, the results show many rows with null values. What is the most likely cause and how can it be reduced?

Accepted Answer

Use | stats ... by ... usenull=f. Option B is correct because the `stats` command includes null values in BY fields by default, which can produce many rows with nulls. Using `usenull=f` explicitly tells `stats` to ignore null values in the BY clause, reducing those rows. This parameter is specific to the `stats` command and directly addresses the root cause.

Answer

Use | where command to filter out null values

Answer

Use | eval to replace nulls before stats

Answer

Use | fillnull value=0 outputfield=count after stats

Question 14

A search uses the map command to run a search for each value of a field. The search is taking a very long time. Which alternative approach is recommended for better performance?

Accepted Answer

Use a subsearch with the IN operator instead. Option B is correct because replacing a `map` command with a subsearch using the `IN` operator allows Splunk to retrieve all matching field values in a single search pass, rather than executing a separate search for each value. The `map` command runs one search per input row, which can cause significant overhead and slow performance, especially with large result sets. Using `IN` in a subsearch collects the values first and then applies them as a filter in the outer search, reducing the number of search operations to one.

Answer

Use the sort command

Answer

Use the transaction command

Answer

Use the foreach command to loop over fields

Question 15

Refer to the exhibit. What is the purpose of the eval command in this search?

Accepted Answer

It creates a new field 'status_category' based on the numeric status code, grouping into three categories.. The eval command creates a new field 'status_category' by evaluating a CASE expression that maps numeric HTTP status codes (e.g., 200, 404, 500) into three descriptive categories: 'OK', 'Client Error', and 'Server Error'. This is a common pattern for enriching raw data with human-readable labels without altering the original 'status' field. The correct answer is D because the search explicitly defines the new field based on the status code values.

Answer

It replaces the status field with the category.

Answer

It adds a temporary field that is not retained after stats.

Answer

It converts the status field to a string.