SPLK-1002 Transactions and Event Correlation Practice Test 3 — 15 Questions

Question 1

Which TWO statements correctly describe the behavior of the transaction command in Splunk?

Accepted Answer

It can concatenate the raw text of all events in the transaction into a single event.. The transaction command can be configured with the `mvraw` option to concatenate the raw text of all events in the transaction into a single event. This is useful when you need to preserve the full log lines of a correlated sequence, such as a multi-step user session or a series of API calls.

Answer

It is not recommended for use with large datasets because it consumes too much memory.

Answer

It merges all fields from all events into a single event, with the last event's field value taking precedence.

Answer

It automatically calculates the duration of each transaction as the difference between the first and last event timestamps.

Question 2

A Splunk analyst runs the above search. The results show that some transactions have a duration of 0 seconds. What is the most likely cause?

Accepted Answer

Some user sessions are missing a logout event, resulting in a transaction that consists of only a login event, so _time_delta is undefined or zero.. When a transaction lacks an end event (like a logout), the transaction command closes based on other limits (e.g., maxspan, maxpause, or maxevents) and contains only the start event. In such cases, the duration (_time_delta) is calculated from the first event's timestamp to the last event's timestamp; with only one event, the difference is zero or undefined, resulting in a 0-second duration.

Answer

The transaction command failed to group events properly and returned only the login event.

Answer

The transaction command is processing events out of order, causing login and logout timestamps to be the same.

Answer

The maxevents=5 limitation causes the transaction to close early, but the logged duration is still calculated correctly from the first event timestamp.

Question 3

Order the steps to set up a data input for monitoring a log file in Splunk.

Accepted Answer

Navigate to Settings > Add Data, then select 'Monitor' as input type, then specify the log file path, then set the source type and index.. Adding a file monitor involves selecting the input type, specifying the file, and configuring source type and index.

Answer

Navigate to Settings > Add Data, then specify the log file path, then select 'Monitor' as input type, then set the source type and index.

Answer

Navigate to Settings > Add Data, then set the source type and index, then select 'Monitor' as input type, then specify the log file path.

Answer

Select 'Monitor' as input type, then navigate to Settings > Add Data, then specify the log file path, then set the source type and index.

Question 4

Order the steps to create a workflow action in Splunk.

Accepted Answer

Navigate to Settings > Fields > Workflow actions, click New, specify Label, Action type, and URI with field references, then click Save.. Workflow actions are created by specifying a label, action type, and URI with field references.

Answer

Click New, then navigate to Settings > Fields > Workflow actions, specify Label, Action type, and URI with field references, then click Save.

Answer

Navigate to Settings > Fields > Workflow actions, specify Label, Action type, and URI with field references, then click New, then click Save.

Answer

Navigate to Settings > Fields > Workflow actions, click New, click Save, then specify Label, Action type, and URI with field references.

Question 5

Match each Splunk component to its function.

Accepted Answer

Search Head: Distributes search requests and merges results from indexers.. In a Splunk distributed environment, the Search Head handles search distribution and result merging, the Indexer indexes and stores data, the Universal Forwarder collects and forwards data, and the Deployment Server manages configuration deployment. Common mistakes include swapping the roles of Search Head and Indexer, or confusing the Deployment Server with a forwarder.

Answer

Search Head: Indexes and stores incoming data.

Answer

Deployment Server: Lightweight forwarder that sends data to indexers.

Question 6

Match each Splunk search mode to its behavior.

Accepted Answer

Fast: Optimized for speed and returns only aggregate data.. Search modes control Splunk's behavior: Fast for speed (summary data), Verbose for completeness (all data), Smart as default balance. Common confusions involve swapping these definitions.

Answer

Fast: Returns all fields and all events.

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Verbose: Optimized for speed.

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Smart: Returns only summary data.

Question 7

A team is using the transaction command to group web server access logs into user sessions. They notice some sessions are missing because the transaction command defaults to combining events with identical field values if they occur within a default time window. What is the default maxspan value for the transaction command?

Accepted Answer

-1 (no default limit). The default maxspan is -1 (unlimited). Options A, C, and D are common misconceptions but incorrect.

Answer

1 minute

Answer

30 seconds

Answer

5 minutes

Question 8

A Splunk admin is troubleshooting a transaction that groups firewall allow and deny events by session ID. The transaction should end when a deny event occurs for that session. Which transaction option should be used to define the end condition?

Accepted Answer

endswith="action=deny". 'endswith="action=deny"' specifies the event that terminates the transaction when a deny event occurs. Option A 'endswith="action=allow"' would end on an allow event, not the desired deny. Option B 'startswith="action=deny"' would start the transaction on a deny event, not end it. Option D 'maxevents=2' limits the number of events but does not define a condition based on event content.

Answer

endswith="action=allow"

Answer

startswith="action=deny"

Answer

maxevents=2

Question 9

An analyst wants to correlate events from different sourcetypes (e.g., authentication logs and VPN logs) that share a common user field. The goal is to create a single event per user session containing all fields from both sourcetypes. Which command is best suited for this?

Accepted Answer

transaction. (transaction). The transaction command groups events from multiple sourcetypes based on a common field (user) and can correlate them into a single event per session, preserving all fields. Options A (append) simply adds events from one search to another without correlation, B (union) combines results from multiple searches without grouping, and D (join) merges events from two datasets based on a common field but does not handle sessionization or multiple sourcetypes as effectively as transaction.

Answer

append

Answer

union

Answer

join

Question 10

A transaction is created using the command: 'index=web status=200 OR status=404 | transaction sessionid'. The user wants to include transactions only if they contain both a 200 and a 404 status. Which additional step achieves this?

Accepted Answer

| where mvcount(mvdedup(status))>=2. `| where mvcount(mvdedup(status))>=2`. After the initial `transaction` command, each event in a transaction has a multivalue field `status` containing the status codes from all events in that transaction. The goal is to include only transactions that have both a 200 and a 404 status. Using `mvdedup(status)` removes duplicate status values, then `mvcount()` counts the distinct values. If the count is >=2, it means both statuses are present. Option A uses `keepevicted=true` which is irrelevant; option C is just a search that doesn't filter by transaction; option D counts all occurrences (including duplicates), which could be 2 even if only one status appears twice.

Answer

| transaction sessionid keepevicted=true | where mvcount(status)>=2

Answer

| search status="200" OR status="404"

Answer

| where mvcount(status)==2

Question 11

A Splunk search uses 'transaction' with a large dataset and causes a 'max transaction' error. What is the most likely cause and best practice to avoid it?

Accepted Answer

The number of open transactions exceeds the limit; use fields to reduce cardinality or increase maxopentxn.. The error indicates the number of open transactions exceeded the limit (maxopentxn). Reducing field cardinality or increasing maxopentxn helps. Options A, C, and D address other issues.

Answer

The transaction command is used on non-indexed fields; use indexed fields instead.

Answer

The maxspan value is too low; increase maxspan.

Answer

The maxevents value is too low; increase maxevents.

Question 12

An analyst wants to group events that start with a 'login' event and end with a 'logout' event, using the username field. Which transaction syntax is correct?

Accepted Answer

transaction username startswith="login" endswith="logout". The proper syntax for grouping events that start with 'login' and end with 'logout' using the username field is 'transaction username startswith="login" endswith="logout"'. Option A lacks quotes around the values, which would cause incorrect parsing. Option B includes an unnecessary 'maxspan=2h' which is not required by the question. Option C uses 'by username' incorrectly; the field should be placed immediately after 'transaction', not using the 'by' keyword.

Answer

transaction username startswith=login endswith=logout

Answer

transaction username startswith="login" endswith="logout" maxspan=2h

Answer

transaction startswith="login" endswith="logout" by username

Question 13

An analyst is using the transaction command to group events by a field that has high cardinality (millions of unique values). The search is taking too long and consuming too much memory. Which approach should be taken to improve performance?

Accepted Answer

Reduce the cardinality of the field by using a derived field with fewer values.. High cardinality in the field used by `transaction` causes many open transactions, consuming excessive memory and time. Reducing cardinality (e.g., by using a derived field with fewer unique values) directly addresses this issue. Options B (`maxspan`) and D (`maxevents`) can help limit transactions but do not solve the root cause of high cardinality. Option C (`mvlist`) is not a valid option for the `transaction` command.

Answer

Use the 'maxspan' option to narrow the time window.

Answer

Use the 'mvlist' option to reduce field storage.

Answer

Use the 'maxevents' option to limit number of events per transaction.

Question 14

A transaction that groups events by field 'session_id' sometimes produces transactions that contain events from multiple distinct sessions due to session_id reuse over time. What is the best way to ensure transactions are correctly separated?

Accepted Answer

Use 'transaction session_id maxspan=30m' to limit the time window.. Adding a maxspan limits the time window, preventing events from reused session IDs that are widely separated in time from merging into the same transaction. Options A, B, and D do not address the reuse issue effectively: A limits events per transaction but doesn't separate sessions, B includes raw data but doesn't separate, D uses start/end markers which may not be present for all sessions.

Answer

Use 'transaction session_id maxevents=1' to stop after one event.

Answer

Use 'transaction session_id mvlist=_raw' to include raw data.

Answer

Use 'transaction session_id startswith="new_session" endswith="end_session"'.

Question 15

A Splunk search uses 'transaction' to correlate events. The transaction times out before all expected events are added. Which TWO options can be adjusted to allow more time for transaction completion? (Choose two.)

Accepted Answer

Increase 'maxevents'.. Options C and E are correct. 'maxevents' sets the maximum number of events per transaction; increasing it allows more events to be collected before the transaction times out. 'maxtime' sets the maximum time (in seconds) from the first event to the transaction completion; increasing it gives the transaction more time to complete. Option A ('maxopentxn') controls the maximum number of concurrent open transactions, not the timeout. Option B ('connected=false') changes event grouping behavior and does not extend time. Option D ('maxspan') defines the maximum time span between earliest and latest event in a transaction; decreasing it would shorten the window and likely cause more timeouts.

Answer

Increase 'maxopentxn'.

Answer

Set 'connected=false'.

Answer

Decrease 'maxspan'.