SPLK-1003 Practice Exam 2 — 20 Questions

Question 1

A dashboard developer wants to create a single-value visualization that shows the current server status from a lookup table. Which Splunk command should be used to retrieve the lookup data in a real-time context?

Accepted Answer

lookup. Option C is correct because the `lookup` command retrieves field values from a lookup table and can be used in a real-time context to enrich events or display current status. Unlike `inputlookup`, which loads the entire lookup table as events, `lookup` works within the search pipeline, allowing it to match against live data and return the most recent lookup values for a single-value visualization.

Answer

inputlookup

Answer

outputlookup

Answer

geostats

Question 2

A Splunk admin notices that a time-based lookup (defined in transforms.conf with time_range=TRUE) is not returning correct results for events outside the lookup's time boundaries. The lookup file contains rows with a valid time range. What is the most likely cause?

Accepted Answer

The event time is outside the time range defined in the lookup. When a time-based lookup is configured with time_range=TRUE in transforms.conf, Splunk restricts lookup matches to events whose timestamps fall within the time range specified in the lookup file. If an event's timestamp is outside that range, the lookup will not return any results, even if other fields match. This is the most likely cause because the question explicitly states that events are outside the lookup's time boundaries.

Answer

The lookup is defined as an automatic lookup and runs at index time

Answer

The lookup table has max_matches set to 1, limiting matches

Answer

The lookup file does not contain a time field

Question 3

Which THREE of the following are best practices when using lookups in Splunk?

Accepted Answer

Use the lookup command instead of inputlookup when possible to reduce memory usage. Option A is correct because using the `lookup` command with the `local=t` argument (or when the lookup table is small enough to be loaded into memory) can reduce memory usage compared to `inputlookup`, which always loads the entire lookup file into memory. The `lookup` command can stream results and only loads necessary fields, making it more efficient for large datasets. This is a best practice to avoid out-of-memory errors in distributed search environments.

Answer

Store lookup tables in KV Store when the table has more than 1 million rows

Answer

Always use KV Store lookups for faster performance compared to CSV lookups

Question 4

A security analyst wants to visualize the count of login failures by source IP over the last 24 hours, but only for IPs with more than 10 failures. Which visualization type and SPL command combination is most appropriate?

Accepted Answer

Column chart with | stats count by src_ip | where count > 10. Option B is correct because it uses `stats count by src_ip` to aggregate login failures per source IP, then `where count > 10` to filter only IPs exceeding 10 failures, and a column chart is ideal for comparing discrete counts across categories (IP addresses). This combination directly answers the requirement: visualize count of failures by IP, with a threshold filter applied after aggregation.

Answer

Line chart with | top limit=10 showcount=1 by src_ip

Answer

Scatter plot with | stats dc(src_ip) by failure

Answer

Pie chart with | chart count over src_ip | where count > 10

Question 5

A Splunk administrator is troubleshooting a slow search that uses the transaction command. The search correlates events by 'user_uuid' with a maxspan of 1 hour. The administrator suspects that many orphan events (events that never complete a transaction) are causing performance issues. Which approach can help identify and possibly exclude orphan events from the transaction?

Accepted Answer

Use the 'keepevicted=true' option and then filter out evicted events in a subsequent search.. Option C is correct because the `keepevicted=true` parameter causes the `transaction` command to output events that were evicted from the transaction window (orphans) with an `evicted` field set to 1. You can then filter out these evicted events in a subsequent search using `where evicted=0`, which isolates only complete transactions and removes the performance overhead of orphan events.

Answer

Increase maxspan to allow more events to complete.

Answer

Use the 'mvlist' option to list all user_uuid values.

Answer

Add 'closed_txn=1' to the transaction command to only output complete transactions.

Question 6

A Splunk administrator notices that the 'transaction' command is consuming excessive memory when processing a large dataset. The dataset contains events with a common field 'user_id', and the goal is to group events per user within 1 hour. Which approach would best reduce memory usage while still achieving the desired correlation?

Accepted Answer

Use a subsearch to first filter events and then apply transaction on the smaller set.. Option B is correct because using a subsearch first reduces the dataset size before the 'transaction' command processes it, directly addressing the memory issue. The 'transaction' command groups events into memory until they are finalized, so a smaller input set means fewer events held simultaneously, lowering memory consumption while still allowing the 1-hour maxspan correlation per user_id.

Answer

Use the 'kvform' command instead of transaction.

Answer

Add more fields to the transaction to make it more specific.

Answer

Increase the maxspan value to 2 hours to reduce the number of transactions.

Question 7

A security team wants to detect a multi-step attack pattern: a user logs in from a new IP address, then within 10 minutes performs a privilege escalation, and finally accesses a sensitive file. They have events with fields: user, ip, action, and timestamp. Which SPL transaction statement should they use to group these three events into one transaction, ensuring all three actions occur in order?

Accepted Answer

`transaction user maxspan=10m`. Option B is correct because the `transaction` command groups events by the `user` field, and the `maxspan=10m` parameter ensures the entire transaction (all three events) completes within 10 minutes. This allows the three actions (login, privilege escalation, sensitive file access) to occur in any order within that time window, but the security team's requirement is that they occur in sequence; however, `transaction` does not enforce order—it only groups events that share the same `user` and fall within the time span. For strict ordering, you would need to use `transaction` with `ordered=t` or a subsearch, but the question asks for grouping these three events into one transaction, and `transaction user maxspan=10m` is the correct SPL to group all events for the same user within 10 minutes.

Answer

`transaction user,ip,action maxspan=10m`

Answer

`transaction user maxpause=30s`

Answer

`transaction user mvcount=3`

Question 8

An analyst needs to correlate events from a web server log and an application log to identify failed login attempts followed within 5 seconds by an error event. The events share a common session ID field. Which approach should the analyst use?

Accepted Answer

Use `transaction sessionID maxspan=5s` to group events by session ID within 5 seconds. The `transaction` command is designed to group related events based on shared field values (sessionID) within a specified time boundary (maxspan=5s). This allows the analyst to correlate web server and application log events that share the same session ID and occur within 5 seconds, making it straightforward to identify failed login attempts followed by an error event.

Answer

Use `append` to combine the two sourcetypes and then `search` for the pattern

Answer

Use `eventstats` to compute counts by sessionID and then filter

Answer

Use `stats` with values() and a by clause on sessionID

Question 9

A Splunk administrator notices that a transaction command is consuming excessive memory and taking too long to complete. The transaction is defined on a field with high cardinality. Which of the following would most effectively reduce memory usage and improve performance?

Accepted Answer

Use a different field with lower cardinality for grouping. Option D is correct because the transaction command groups events based on field values, and high cardinality fields create many unique groups, each requiring memory for state tracking. Using a lower-cardinality field reduces the number of concurrent groups, directly lowering memory consumption and processing time. This addresses the root cause rather than adjusting timeouts or eviction policies.

Answer

Increase the maxspan value

Answer

Remove the maxspan constraint

Answer

Set keepevicted=false

Question 10

An organization has a transaction that groups firewall events by source IP to detect port scans. The transaction uses `maxpause=1m`. Some valid scans are being missed because events occasionally have gaps longer than 1 minute due to network latency. Which change would best capture these scans without introducing too many false positives?

Accepted Answer

Increase maxpause to 2 minutes. Increasing maxpause to 2 minutes allows the transaction to tolerate longer gaps between events caused by network latency, ensuring that valid port scans are still captured. This change directly addresses the issue without altering the grouping logic or removing the timeout guard, which would otherwise risk false positives or incorrect grouping.

Answer

Decrease maxspan to 30 seconds

Answer

Remove maxpause and use only maxspan

Answer

Group by destination IP instead of source IP

Question 11

Refer to the exhibit. The search aims to detect brute-force attacks where there are at least 2 failed logins followed by a successful login from the same source IP within 5 minutes. However, the search returns no results even though such attacks exist. What is the most likely error in the search logic?

Accepted Answer

The `search stage="*"` command is filtering out all transactions because stage is a multivalue field.. The `search stage="*"` command filters out all transactions because `stage` is a multivalue field created by the `transaction` command. In Splunk, a multivalue field cannot be matched with a simple wildcard search like `stage="*"`; this search only returns events where `stage` is a single literal asterisk. To search for any value in a multivalue field, you must use `mvcount(stage)>0` or `search stage=*` (without quotes).

Answer

The transaction should group by user instead of src.

Answer

The case statement does not set stage for events that don't match either pattern.

Answer

The mvcount(stage) condition is incorrectly checking for >2 and >=2 simultaneously.

Question 12

A Splunk administrator is troubleshooting a search that uses the `transaction` command. The search is taking too long to complete and returning incomplete results. Which TWO changes are most likely to improve performance and accuracy of transaction searches? (Choose TWO.)

Accepted Answer

Use `fields` before `transaction` to include only necessary fields.. Option C is correct because using the `fields` command before `transaction` reduces the amount of data Splunk must process by retaining only the fields necessary for correlation and output. This minimizes memory and CPU overhead, directly improving search performance and reducing the risk of incomplete results due to resource limits.

Answer

Remove the `maxspan` parameter to allow transactions of any duration.

Answer

Use `mvcombine` to combine multivalued fields before the transaction.

Answer

Increase the `maxevents` value to allow more events per transaction.

Question 13

A financial services company uses Splunk to detect fraudulent transactions. Each transaction event has fields: `user_id`, `amount`, `merchant`, `timestamp`. The fraud detection team wants to identify users who make multiple small transactions (under $50) totaling over $200 within a 1-hour window, which may indicate testing stolen credit cards. They write the following search:

`index=transactions sourcetype=payment amount<50 | transaction user_id maxspan=1h | where sum(amount) > 200`

This search runs but returns no results, even though manual inspection shows users with such patterns. What is the primary reason the search fails?

Accepted Answer

The `where sum(amount) > 200` does not work as expected because `sum()` is not an aggregation function in that context; you need to use `stats sum(amount)` or `eval total=mvsum(amount)` first.. Option D is correct because the `transaction` command creates a single multivalue field `amount` containing all amounts from the grouped events. The `where` clause cannot directly aggregate multivalue fields with `sum()`; it requires an explicit `eval` to compute the sum (e.g., `eval total=mvsum(amount)`) or a `stats` command. Without this, the `where` clause evaluates `sum(amount)` as a string operation or fails silently, returning no results.

Answer

The `amount<50` filter is applied before the transaction, which excludes amounts exactly $50.

Answer

The search lacks a `fields` command to include `user_id`, so the transaction fails.

Answer

The `maxspan=1h` is too short; users might spread transactions over more than 1 hour.

Question 14

Match each Splunk component to its function.

Question 15

Match each Splunk knowledge object to its purpose.

Question 16

Match each Splunk search operator to its behavior.

Question 17

Match each Splunk index time field to its meaning.

Question 18

Match each Splunk search mode to its behavior.

Question 19

Match each Splunk report type to its description.

Question 20

Match each Splunk license violation type to its consequence.