SPLK-1001 Practice Test 18 — 15 Questions

Question 1

Match each data input type to its description.

Accepted Answer

Monitor input: Reads data from files and directories, following any changes.. The correct matches are: Monitor input tracks file changes; HTTP Event Collector receives data over HTTP/HTTPS. Confusion often arises between Monitor and Network inputs, and between HEC and Scripted inputs.

Answer

Monitor input: Accepts data over TCP or UDP ports.

Answer

HTTP Event Collector: Executes a script to gather data.

Question 2

Match each search mode to its behavior.

Accepted Answer

Fast mode: Returns only fields referenced in the search, improving performance.. Splunk search modes: Fast returns only search-referenced fields; Smart dynamically selects fields; Verbose returns all fields. Confusing these leads to incorrect expectations about performance and output.

Answer

Fast mode: Returns all fields for each event.

Answer

Verbose mode: Returns only fields referenced in the search.

Question 3

A large enterprise uses Splunk across 50 indexers and a search head cluster. An analyst reports that a search using a lookup file 'employees.csv' (500 MB, 10 million rows) is extremely slow. The search is: `index=winlogs sourcetype=Security EventCode=4624 | lookup employees.csv account AS User OUTPUT department, manager`. The lookup currently runs on each event, and the entire CSV is loaded into memory on the search head each time. There are about 5 million matching events per day. The company has a separate Identity Management system that updates employee data hourly. The analyst needs the lookup to be fast and up-to-date. Which solution should the Splunk admin implement?

Accepted Answer

Convert the lookup to a KV store collection and use the lookup as a key-value store.. Converting the large, frequently updated CSV lookup to a KV store collection allows Splunk to index the data and perform key-value lookups efficiently without loading the entire file into memory on the search head. The KV store supports real-time updates from the Identity Management system via REST API, ensuring the lookup remains up-to-date while drastically improving search performance for 5 million daily events across 50 indexers.

Answer

Use a static CSV but compress it and use `lookup` command with `| makeresults` approach.

Answer

Increase the `max_mem_usage` setting for the lookup in limits.conf.

Answer

Add a time range early in the search to reduce events.

Question 4

Which THREE of the following are components of a data model in Splunk?

Accepted Answer

Constraints. Constraints are a core component of a data model in Splunk because they define the filtering criteria that restrict which events are included in the dataset. A constraint is a search expression applied to the root event or child objects to ensure only relevant data populates the data model, making it essential for accurate data model acceleration and pivot reporting.

Answer

Dashboard panel

Answer

Saved search

Question 5

A user is trying to create a dashboard in Splunk Web by saving a search as a dashboard panel. The user runs a search that produces a table of results. The user clicks 'Save As' and selects 'Dashboard Panel'. The user then selects an existing dashboard and clicks 'Save'. However, the panel does not appear on the dashboard. The user has confirmed that the dashboard exists and that they have write permission to it. The user also sees no error messages. What is the most likely cause of this issue?

Accepted Answer

The search does not produce statistical data required for a dashboard table panel.. The most likely cause is that the search does not produce statistical data required for a dashboard table panel (option C). In Splunk, to save a search as a table panel on a dashboard, the search must be a transforming search that outputs statistical results (e.g., using stats, chart, timechart, or other transforming commands). A non-transforming search that returns raw events cannot be saved as a table panel. Options A and B are incorrect because the user has write permission and the dashboard exists. Option D is incorrect because time range settings would affect data display but not prevent the panel from being saved; the panel would appear with the selected time range.

Answer

The dashboard is locked by another user.

Answer

The user does not have permission to add panels to the dashboard.

Answer

The panel was saved but is hidden due to time range settings.

Question 6

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

Accepted Answer

The summary index must be writable and have enough disk space.. Data model acceleration creates a summary index that stores pre-computed results. If the summary index is not writable or lacks sufficient disk space, the acceleration process will fail, preventing the data model from being accelerated.

Answer

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

Answer

The data model must be based on a real-time search to be accelerated.

Question 7

A user wants to create a bar chart showing the count of events by host for the last hour. Which command should be used?

Accepted Answer

`index=* | stats count by host`. `stats count by host` produces a table of hosts and their event counts, which can be directly visualized as a bar chart. The user wants a count of events by host for the last hour, and `stats` with a `by` clause is the appropriate transforming command to aggregate counts per host without time-series splitting.

Answer

`index=* | timechart count by host`

Answer

`index=* | top host`

Answer

`index=* | chart count by host`

Question 8

Refer to the exhibit. A user runs the search and gets no results. Which is the most likely cause?

Accepted Answer

The 'status' field does not exist in the data. The search returns no results because the 'status' field referenced in the 'where' clause does not exist in the indexed data. In Splunk, the 'where' command filters events based on field values; if the field is absent, no events match the condition, resulting in zero results. The 'stats' command would have created a 'status' field only if it was used with an aggregation function like 'count by status', but the search shows 'stats count' without a 'by' clause, so 'status' remains undefined.

Answer

The 'sort' command must come before 'where'

Answer

The 'stats' command cannot be used with 'where'

Answer

The 'index' parameter is misspelled

Question 9

An automatic lookup is configured but it is not enriching events. The lookup file is large (100MB) and is updated daily. What setting could improve performance?

Accepted Answer

Enable `batch_index_lookup = true`. Enabling `batch_index_lookup = true` in transforms.conf allows Splunk to process the entire 100MB lookup file in a single batch operation rather than performing individual lookups for each event. This significantly reduces I/O overhead and improves performance for large, daily-updated lookup files by loading the entire lookup into memory once per batch.

Answer

Set `filter` in transforms.conf

Answer

Increase `max_matches`

Answer

Use `| lookup` instead of automatic

Question 10

Refer to the exhibit. An analyst wants to see the top 10 most visited URI paths, but the result also includes a 'percent' column. To remove the percent column, which command should be added?

Accepted Answer

| fields - percent. The `fields` command with a minus sign removes specified fields from the results. Since the question asks to remove the 'percent' column, `| fields - percent` is the correct and most direct way to drop that field while keeping all other fields intact.

Answer

| table uri_path count

Answer

| eval percent=null()

Answer

| rename percent as ""

Question 11

Refer to the exhibit. The lookup `usertable` has fields: user, role, department. The search returns an error: "Error in 'where' command: Field 'role' is not defined." What is the most likely cause?

Accepted Answer

The lookup file does not have a column named 'role'.. The error 'Field ''role'' is not defined' in the `where` command indicates that the field 'role' does not exist in the events being processed. Since the `inputlookup` command loads the lookup file into the search pipeline, the most likely cause is that the lookup file does not contain a column named 'role'. Option D correctly identifies this root cause.

Answer

The `inputlookup` command does not output fields that can be used with `where`.

Answer

The field 'role' is not a valid field in the lookup because it is a reserved word.

Answer

The lookup name 'usertable' is misspelled.

Question 12

A search using index=security sourcetype=windows_security returns events with EventCode=4625. The user wants to find the top 10 source IP addresses. Which search will accomplish this?

Accepted Answer

index=security sourcetype=windows_security | top 10 src_ip. For Windows security events with EventCode 4625, Splunk (with the appropriate TA) automatically extracts the source IP address into a field named `src_ip`. Therefore, the search `index=security sourcetype=windows_security | top 10 src_ip` directly provides the top 10 source IP addresses from all events. The first filter for EventCode=4625 is omitted in this option, but the question stem states that the initial search already returns only those events, so the filter is redundant.

Answer

index=security sourcetype=windows_security EventCode=4625 | rex field=Account "from (\d+\.\d+\.\d+\.\d+)" | top 10 ip

Answer

index=security sourcetype=windows_security EventCode=4625 | top 10 Account

Answer

index=security sourcetype=windows_security EventCode=4625 | table Account | top 10

Question 13

A search returns no results. The user has verified that data is being indexed. What is the most likely cause?

Accepted Answer

The time range picker is set incorrectly. The most likely cause is that the time range picker is set incorrectly. Even if data is being indexed and the search terms are correct, Splunk restricts search results to the selected time range. If the time range does not cover the period when the data was indexed, the search will return no results. This is a common issue because the default time range is often set to "Last 24 hours" or "All time" depending on the user's last selection.

Answer

The search term is misspelled

Answer

The search is using incorrect index name

Answer

The user lacks search permissions

Question 14

A security analyst is investigating a breach and needs to extract the 'user_id' field from raw log events. The logs contain both structured and unstructured data. The analyst uses the following search: `index=security sourcetype=syslog | rex field=_raw "user_id=(?<user_id>\w+)" | stats count by user_id`. However, some events do not contain the 'user_id' pattern, but they have a 'username' field extracted by a default extraction. The analyst wants to create a unified field 'user_id' that includes values from both. Which approach should the analyst take?

Accepted Answer

Use `eval user_id=coalesce(user_id, username)` to take the first non-null value. The `coalesce` function returns the first non-null value from a list of fields, making it ideal for merging `user_id` and `username` into a single unified field. Since `user_id` may be null in events where the regex extraction fails, `coalesce(user_id, username)` will use the `username` value as a fallback, ensuring all events contribute to the `stats count` without data loss.

Answer

Rename the 'username' field to 'user_id' using `rename username as user_id`

Answer

Use `eval user_id=mvindex(split(user_id+" "+username," "),0)` to combine the two fields

Answer

Use `fillnull value=N/A user_id` to handle missing values

Question 15

A compliance report must show the average latency per service for each hour over the past 30 days. The data set contains millions of events. To ensure the report finishes within a reasonable time, which approach is recommended?

Accepted Answer

Use the tstats command over a data model. The tstats command is optimized for use with data models and runs on indexed fields in the tsidx files, making it far faster than stats or timechart on raw events for large datasets. By pre-defining a data model with the latency field and using tstats, you avoid scanning millions of raw events and instead query pre-aggregated statistics, ensuring the report completes within a reasonable time.

Answer

Use timechart span=1h avg(latency) by service

Answer

Use stats avg(latency) by service, _time span=1h

Answer

Pre-process data using a summary index that runs hourly