Scenario practice questions

A lookup table contains employee names and IDs. An admin wants to add the employee name to events that contain an employee ID field called 'emp_id'. What is the correct lookup command syntax?

Trap 1: | lookup employee_lookup employee_name FROM emp_id

Incorrect syntax.

Trap 2: | lookup employee_lookup emp_id OUTPUTNEW *

OUTPUTNEW * outputs all fields, but may conflict.

Trap 3: | lookup employee_lookup emp_id OUTPUT employee_name

OUTPUT is fine, but OUTPUTNEW is safer if field may exist. Both are valid, but B is more precise.

A
| lookup employee_lookup employee_name FROM emp_id
Why wrong: Incorrect syntax.
B
| lookup employee_lookup emp_id OUTPUTNEW *
Why wrong: OUTPUTNEW * outputs all fields, but may conflict.
C
| lookup employee_lookup emp_id OUTPUT employee_name
Why wrong: OUTPUT is fine, but OUTPUTNEW is safer if field may exist. Both are valid, but B is more precise.
D
| lookup employee_lookup emp_id OUTPUTNEW employee_name
OUTPUTNEW prevents overwriting existing employee_name field.

Question 2hardmultiple choice

A search returns many events but the 'status' field is missing from some events. The admin wants to set a default value of 'unknown' when the field is absent. Which command should be used?

Trap 1: eval status=coalesce(status, "unknown")

coalesce only replaces if status is null in that event, but fillnull is more appropriate for missing field.

Trap 2: default status=unknown

There is no default command in Splunk.

Trap 3: replace status with "unknown"

replace is for substituting values, not null handling.

A
eval status=coalesce(status, "unknown")
Why wrong: coalesce only replaces if status is null in that event, but fillnull is more appropriate for missing field.
B
default status=unknown
Why wrong: There is no default command in Splunk.
C
fillnull value=unknown status
fillnull sets null fields to a specified value.
D
replace status with "unknown"
Why wrong: replace is for substituting values, not null handling.

Question 3hardmultiple choice

An administrator notices that a data model with acceleration is not returning results for a specific time range. The search uses `| datamodel` command. The summary range is set to 30 days. What is the most likely cause?

Trap 1: The acceleration has overwritten the original raw data.

Acceleration does not delete or overwrite raw data.

Trap 2: The `| datamodel` command requires the `summariesonly=t` argument…

By default, `| datamodel` uses acceleration if available, without needing `summariesonly`.

Trap 3: The data model has a constraint that excludes the specific time…

Constraints affect which events are included, not whether acceleration works.

A
The acceleration has overwritten the original raw data.
Why wrong: Acceleration does not delete or overwrite raw data.
B
The `| datamodel` command requires the `summariesonly=t` argument to use acceleration.
Why wrong: By default, `| datamodel` uses acceleration if available, without needing `summariesonly`.
C
The search time range exceeds the summary range of the acceleration.
If the time range is beyond the summary range, acceleration may not cover that period, causing fallback to raw data which might not be indexed.
D
The data model has a constraint that excludes the specific time range.
Why wrong: Constraints affect which events are included, not whether acceleration works.

Question 4easymultiple choice

An administrator needs to extract a field from log data where the value appears between two square brackets, for example [error_code: 404]. Which search command should they use to create a custom field extraction without modifying the original data?

Trap 1: eval

eval can create fields but is not optimized for extraction from raw text.

Trap 2: fields

fields only includes or excludes fields, it does not create new ones.

Trap 3: extract

Extract is a legacy command for field extractions from dashboards, not for custom regex extraction.

A
eval
Why wrong: eval can create fields but is not optimized for extraction from raw text.
B
fields
Why wrong: fields only includes or excludes fields, it does not create new ones.
C
extract
Why wrong: Extract is a legacy command for field extractions from dashboards, not for custom regex extraction.
D
rex
rex extracts fields using regex patterns without modifying the original data.

Question 5hardmultiple choice

A Splunk administrator needs to create a dashboard that displays a summary of sales data from multiple regions. Each region's data is in a separate index. The dashboard should allow users to select a region from a dropdown and see the sales data for that region. Which type of dashboard input should be used?

Trap 1: A text input field where users type the region name

Prone to typos and not user-friendly.

Trap 2: A radio button group with predefined regions

Static and requires manual updates when regions change.

Trap 3: A checkbox list with multiple regions

Allows multiple selections, but the requirement is a single region.

A
A text input field where users type the region name
Why wrong: Prone to typos and not user-friendly.
B
A radio button group with predefined regions
Why wrong: Static and requires manual updates when regions change.
C
A dropdown input that populates from a search returning the list of regions
Dynamic, user-friendly, and scalable, allowing single selection from a list.
D
A checkbox list with multiple regions
Why wrong: Allows multiple selections, but the requirement is a single region.