Troubleshooting practice questions

A team has created a data model based on sourcetypes from different sources. Some fields are not populating correctly in Pivot. Which of the following is the most effective troubleshooting step?

Trap 1: Rebuild the data model acceleration.

Rebuilding acceleration may not fix field population issues.

Trap 2: Increase the acceleration time range.

Acceleration time range affects data retention, not field population.

Trap 3: Check the field extractions in transforms.conf.

Field extractions are important but not the most effective first step.

A
Use the `| datamodel <model> search` command to preview data and identify missing fields.
This command shows raw data and field values, helping to pinpoint missing fields.
B
Rebuild the data model acceleration.
Why wrong: Rebuilding acceleration may not fix field population issues.
C
Increase the acceleration time range.
Why wrong: Acceleration time range affects data retention, not field population.
D
Check the field extractions in transforms.conf.
Why wrong: Field extractions are important but not the most effective first step.

Question 2hardmultiple choice

A Splunk admin is troubleshooting a slow report that uses an accelerated data model. The report uses tstats commands and filters on a field that is not a constraint field in the data model. Which of the following best explains why the report is slow?

Trap 1: The acceleration summary for that data model has not been rebuilt…

Outdated summary would affect accuracy, not speed.

Trap 2: The report is using the data model incorrectly; it should use…

tstats is the recommended way to search accelerated data models.

Trap 3: The time range is too broad, causing the acceleration summary to…

Broad time range might be slower but not specifically due to field type.

A
The acceleration summary for that data model has not been rebuilt recently, causing outdated data.
Why wrong: Outdated summary would affect accuracy, not speed.
B
The report is using the data model incorrectly; it should use |datamodel instead of |tstats.
Why wrong: tstats is the recommended way to search accelerated data models.
C
The field used in the filter is not defined as a constraint field in the data model, so tstats cannot use acceleration for that filter.
Filtering on non-constraint fields forces full event search.
D
The time range is too broad, causing the acceleration summary to include too many events.
Why wrong: Broad time range might be slower but not specifically due to field type.

Question 3hardmulti select

Which THREE are valid considerations when troubleshooting data model acceleration? (Choose three.)

Trap 1: Too many fields in the data model can cause acceleration to fail.

Many fields may reduce performance but do not cause failure.

Trap 2: The data model must be based on a real-time search to be…

Acceleration works on historical time ranges, not only real-time.

A
The summary index must be writable and have enough disk space.
Acceleration writes summaries to a summary index; it must be writable.
B
Too many fields in the data model can cause acceleration to fail.
Why wrong: Many fields may reduce performance but do not cause failure.
C
The data model must be based on a real-time search to be accelerated.
Why wrong: Acceleration works on historical time ranges, not only real-time.
D
Insufficient memory on the indexer for the summary build process.
Memory shortage can halt acceleration builds.
E
The base search for the data model must be efficient and not timeout.
A slow or timing out base search prevents acceleration from completing.

Question 4mediumdrag order

Drag and drop the steps to troubleshoot a Splunk search that returns no results into the correct order.

Drag steps to the numbered slots on the right, or tap a step then tap a slot.

Steps

Order

1Step 1

2Step 2

3Step 3

4Step 4

5Step 5

Trap 1: Step 1: Check the search syntax; Step 2: Check the time range; Step…

This is incorrect because the time range is the most fundamental and common issue to check. Checking syntax first might waste time if the time range is simply too narrow or misconfigured.

Trap 2: Step 1: Check internal Splunk logs; Step 2: Verify that data is…

This is incorrect because internal logs are typically checked last after ruling out simpler issues. Checking them first is inefficient and unnecessary for a search returning no results.

Trap 3: Step 1: Verify that data is being indexed; Step 2: Check the time…

This is incorrect because checking data indexing first is premature; you should first verify the time range and syntax, which are more common causes. Data indexing issues are less frequent and should be investigated later.

A
Step 1: Check the time range; Step 2: Check the search syntax; Step 3: Verify that data is being indexed; Step 4: Check internal Splunk logs (e.g., _internal).
This is the correct order because the most common cause of no results is an incorrect time range, so you check that first. Next, syntax errors can prevent results, so you verify the search syntax. Then, confirm that data is being indexed, and finally check internal logs for any indexing errors.
B
Step 1: Check the search syntax; Step 2: Check the time range; Step 3: Verify that data is being indexed; Step 4: Check internal Splunk logs.
Why wrong: This is incorrect because the time range is the most fundamental and common issue to check. Checking syntax first might waste time if the time range is simply too narrow or misconfigured.
C
Step 1: Check internal Splunk logs; Step 2: Verify that data is being indexed; Step 3: Check the search syntax; Step 4: Check the time range.
Why wrong: This is incorrect because internal logs are typically checked last after ruling out simpler issues. Checking them first is inefficient and unnecessary for a search returning no results.
D
Step 1: Verify that data is being indexed; Step 2: Check the time range; Step 3: Check the search syntax; Step 4: Check internal Splunk logs.
Why wrong: This is incorrect because checking data indexing first is premature; you should first verify the time range and syntax, which are more common causes. Data indexing issues are less frequent and should be investigated later.

Question 5hardmulti select

A Splunk administrator is troubleshooting a time-based lookup that is supposed to match events to a lookup table that changes over time. The lookup is defined with time_field 'start_time' and time_format '%Y-%m-%d %H:%M:%S'. Which THREE conditions must be met for the time-based lookup to correctly match an event to a single row in the lookup table? (Choose three.)

Trap 1: The lookup table must have exactly one row per unique time value

Multiple rows may have the same time value, but only one should match the event's time range for a proper match.

Trap 2: The lookup must be defined as an automatic lookup in props.conf

Automatic lookups are optional; you can use the lookup command in searches.

A
The lookup table must have exactly one row per unique time value
Why wrong: Multiple rows may have the same time value, but only one should match the event's time range for a proper match.
B
The lookup must be defined as an automatic lookup in props.conf
Why wrong: Automatic lookups are optional; you can use the lookup command in searches.
C
The lookup definition must specify the time format used in the time_field column
The time_format must match the format in the lookup file for correct parsing.
D
The event's timestamp (or a specified time field) must fall between the start_time and the end_time of a row
Time-based lookups match if the event time is within the row's time range.
E
The event must match at most one row in the lookup table for the given time range
If multiple rows match, the behavior is undefined; the lookup should be designed to yield a single match.

Question 6easymultiple choice

A support technician is troubleshooting a user who cannot see the 'Field sidebar' and 'Timeline' in the Search & Reporting app. The user says that when they run a search, they only see the results in a table format, but no side panels or timeline below the search bar. The technician checks the user's settings and finds that the user's default app is set to 'Search & Reporting'. The technician then looks at the user's browser and notices that the user has a very small browser window. What is the most likely cause of the missing panels?

Trap 1: The user's default app is set incorrectly.

Incorrect: It's set to Search & Reporting.

Trap 2: The user has disabled the timeline in their preferences.

Incorrect: There is no such user preference.

Trap 3: The user's role does not have permission to view the timeline.

Incorrect: The timeline is not permission-based.

A
The user's default app is set incorrectly.
Why wrong: Incorrect: It's set to Search & Reporting.
B
The user has disabled the timeline in their preferences.
Why wrong: Incorrect: There is no such user preference.
C
The browser window is too small, causing panels to be hidden by the responsive interface.
Correct: Small windows hide side panels in Splunk Web.
D
The user's role does not have permission to view the timeline.
Why wrong: Incorrect: The timeline is not permission-based.

Question 7hardmultiple choice

A Splunk administrator is troubleshooting a slow search on firewall logs. The index is 'firewall', sourcetype is 'cisco:asa', and there is about 500 GB of data per day. The search is: index=firewall sourcetype=cisco:asa action=block | stats count by src_ip | where count > 1000. This search takes over 5 minutes to return results. The administrator needs the same results faster. The index has a data model named 'firewall_dm' that is accelerated with a summary range of 7 days. Which change to the search will improve performance the most while still returning the same results?

Trap 1: Add | stats count by src_ip, _time to the search

Adding _time increases the number of groups and slows down the search.

Trap 2: Add | fields src_ip before the stats command

Limiting fields can help, but the main bottleneck is scanning raw data; this provides minimal improvement.

Trap 3: | search action=block instead of placing action=block in the base…

This is a syntax change; it does not affect performance significantly.

A
Add | stats count by src_ip, _time to the search
Why wrong: Adding _time increases the number of groups and slows down the search.
B
Change to | tstats count from datamodel=firewall_dm where action=block by src_ip | where count > 1000
tstats uses the accelerated data model, drastically reducing the amount of data scanned.
C
Add | fields src_ip before the stats command
Why wrong: Limiting fields can help, but the main bottleneck is scanning raw data; this provides minimal improvement.
D
| search action=block instead of placing action=block in the base search
Why wrong: This is a syntax change; it does not affect performance significantly.