SPLK-1001 Practice Test 26 — 15 Questions

Question 1

An administrator needs to find events from hosts that have reported a critical error in the last hour. Which search uses a subsearch correctly?

Accepted Answer

index=main [search index=main error="critical" | table host]. It uses a subsearch that returns a list of hosts (via `table host`) and passes that list to the outer search, which then filters events from those hosts. The outer search `index=main` combined with the subsearch result effectively becomes `index=main host= OR host= ...`, correctly retrieving events from hosts that reported a critical error in the last hour. The subsearch runs first, and its output is used as a condition in the main search.

Answer

index=main host IN [search error="critical" | fields host]

Answer

index=main | where host=[search index=main error="critical" | fields host]

Answer

index=main AND [search error="critical" | table host]

Question 2

Which TWO of the following commands will return exactly one result row when there is at least one event?

Accepted Answer

top limit=1 user. `top limit=1 user` returns the single most frequent value of the `user` field, producing exactly one result row (the top user) when at least one event exists. Option E is correct because `stats count` without a `by` clause aggregates all events into a single row showing the total event count, always returning exactly one row as long as there is at least one event.

Answer

sort - count

Answer

chart count by user

Answer

eventstats count by user

Question 3

A search includes a lookup that returns multiple values per event. The admin wants to see each matched value as a separate event. Which command should be used after the lookup?

Accepted Answer

mvexpand. The `mvexpand` command is correct because it takes a multivalue field (such as one created by a lookup returning multiple matches) and expands it into separate events, one for each value. This allows the admin to see each matched value as an individual event, which is exactly the requirement.

Answer

untable

Answer

stats

Answer

makemv

Question 4

Which two of the following search commands can be used to rename a field? (Select TWO)

Accepted Answer

rename. The `rename` command is explicitly designed to rename fields in Splunk. It allows you to change the name of one or more fields in the search results, which is useful for clarity or to match field names across different data sources. The `eval` command can also rename a field by using the assignment operator to copy the value of an existing field into a new field name, effectively renaming it.

Answer

table

Answer

fields

Answer

spath

Question 5

An analyst wants to create a data model that includes fields from both web server logs and database logs. The two sourcetypes have different timestamp formats. Which best practice should the analyst follow when designing the data model?

Accepted Answer

Normalize the timestamp fields using eval expressions in the data model definition.. The best practice for handling different timestamp formats in a data model is to normalize them using eval expressions within the data model definition. This ensures that all events share a common, consistent timestamp field, which is essential for accurate time-based searches and pivot operations across multiple sourcetypes.

Answer

Use the data model to define new timestamp fields based on indexed data.

Answer

Use the same timestamp field name but ignore the format differences.

Answer

Create two separate data models, one for each sourcetype.

Question 6

A data model is set to accelerate with a summary range of 90 days. After some time, the administrator notices that the acceleration is using significant disk space. Which strategy would best reduce disk usage without losing the ability to quickly query the last 30 days of data?

Accepted Answer

Reduce the summary range to 30 days.. Reducing the summary range to 30 days directly aligns with the requirement: it stops the acceleration from pre-computing and storing summaries for data older than 30 days, freeing disk space while still providing accelerated query performance for the most recent 30 days. The summary range defines how far back the acceleration engine pre-aggregates data; a shorter range means fewer stored results.

Answer

Set the acceleration to use a shorter time window for complete summarization.

Answer

Increase the summary range to 180 days.

Answer

Disable acceleration for the data model.

Question 7

Refer to the exhibit. The dashboard panel is not displaying data when the input changes. What is the most likely cause?

Accepted Answer

The token name in the search is "$token$" but the input token is "source".. The most likely cause is a token name mismatch. The search uses $token$ but the input defines the token as 'source'. For the dashboard to update when the input changes, the token names in the search and the input must match exactly. Therefore, option D is correct. Option A is incorrect because searchWhenChanged='true' enables automatic search on input change, not prevents loading. Option B is incorrect because timechart uses _time by default and does not require an explicit time field. Option C is incorrect because a chart type is not required; it defaults to a column chart.

Answer

The input uses `searchWhenChanged="true"` which prevents dashboard loading.

Answer

The search uses `timechart` which requires a time field.

Answer

The chart type is not specified.

Question 8

Which of the following best describes the purpose of the 'fields' command in a search?

Accepted Answer

To keep or remove specified fields from events. The 'fields' command in Splunk is used to either keep (include) or remove (exclude) specified fields from search results. By default, all extracted fields are returned, but 'fields' allows you to narrow the output to only relevant fields (e.g., `fields clientip, status`) or to drop unwanted fields (e.g., `fields - _raw`). This improves readability and performance by reducing the data volume passed to subsequent commands.

Answer

To rename existing fields

Answer

To add fields from a lookup table

Answer

To extract new fields from raw data

Question 9

Which THREE are essential components of a Splunk dashboard?

Accepted Answer

Panels (e.g., charts, tables). Panels are the fundamental visual building blocks of a Splunk dashboard. Each panel displays data using a visualization type such as a chart, table, single value, or map, and is powered by either an inline search or a referenced saved search. Without panels, a dashboard would have no content to present to the user.

Answer

Reports (saved searches)

Answer

Alerts (scheduled actions)

Question 10

A search `index=main | top limit=10 user | fields - percent` is running slowly on a large dataset. Which change would likely improve performance the most?

Accepted Answer

Use stats count by user instead of top. The `top` command is a transforming command that internally performs a `sort` and `limit` after counting events. On large datasets, `top` can be slower than `stats count by user` because `top` includes additional overhead for calculating percentages and sorting all results before limiting. Using `stats count by user` followed by `sort 10 -count` achieves the same result with less processing overhead, as `stats` is more efficient for simple aggregation.

Answer

Add a rex command before top

Answer

Remove the fields command

Answer

Add a time range early in the search

Question 11

A report is scheduled to run every hour but sometimes returns incomplete data because the search is too slow and times out. Which action should be taken to improve reliability without losing data?

Accepted Answer

Use a summary index to pre-aggregate data. A summary index pre-aggregates data at search time, storing the results in a separate index. When the report runs, it queries the summary index instead of the raw data, which is much faster and avoids timeouts. This ensures all data is captured because the summary is built incrementally from the full data set, not by sampling or truncating.

Answer

Add the 'lazy' command to defer computation

Answer

Reduce the time range to the last 30 minutes

Answer

Increase the search auto-finalization time

Question 12

Which TWO commands can be used to bring lookup data into a search?

Accepted Answer

inputlookup. The `inputlookup` command is used to load the contents of a static lookup table (CSV or KV store) into the search pipeline as events, making it available for further processing. The `lookup` command enriches search results by adding fields from a lookup table based on a field match, effectively bringing lookup data into the search context. Both commands allow lookup data to be used within a search, but in different ways: `inputlookup` loads the entire table as events, while `lookup` appends fields to existing events.

Answer

outputlookup

Answer

csvlookup

Answer

filelookup

Question 13

An analyst wants to find events where the field 'user' is not present. Which search correctly identifies such events?

Accepted Answer

NOT isnotnull(user). The `NOT isnotnull(user)` search uses the `isnotnull()` function to check if the `user` field exists and is not null, then negates it with `NOT` to return only events where the `user` field is absent or null. In Splunk, fields that are not present in an event are considered null, so this combination accurately identifies events lacking the field.

Answer

user=null

Answer

-user

Answer

user=""

Question 14

A search using `| datamodel All_Web data=Web search` returns a large number of results quickly, but the analyst notices the results are inconsistent with a manual search over the same time range. What is the most likely issue?

Accepted Answer

The data model is accelerated and the summary is stale.. When a data model is accelerated, Splunk pre-computes and stores summary data in a TSIDX file. If the acceleration summary becomes stale (i.e., not refreshed within the acceleration time range), the search returns results from the cached summary rather than the raw events, leading to inconsistencies with a manual search over the same time range. This is a common issue when the acceleration summary has not been updated to reflect recent data.

Answer

The data model has a constraint that excludes certain events.

Answer

The data model uses a calculated field that is not properly defined.

Answer

The search head is not properly configured to query the indexers.

Question 15

A large e-commerce company uses Splunk Enterprise to analyze sales data. The marketing team requests a real-time dashboard showing total revenue per product category, updated every 5 seconds. A new Splunk user creates a dashboard panel with the search `index=sales | stats sum(price) by category | sort - sum(price)`. The dashboard works initially, but after 30 minutes, it stops updating and displays the error 'Search failed: too many results'. The user is concerned about the impact on system performance. The data volume is approximately 1 TB per day. Which of the following should the user do to create a reliable dashboard that updates frequently without causing performance issues?

Accepted Answer

Create a scheduled summary search that aggregates sales data by category every 5 minutes, and use the 'loadjob' command in the dashboard to load the summary results.. Creating a scheduled summary search that pre-aggregates sales data by category every 5 minutes, and then using 'loadjob' in the dashboard to load those pre-computed results, is the most efficient approach. This drastically reduces the load on indexers because the heavy aggregation runs only every 5 minutes, while the dashboard refreshes every 5 seconds by loading the small pre-summarized results. Option A is correct. Option B ('streamstats' with last 5 minutes) still scans the full raw data on every refresh and does not reduce the result set size sufficiently, as 'streamstats' accumulates all events. Option C reduces display but still performs the full aggregation on every 5-second refresh, causing performance issues. Option D uses 'timechart' with span=5s in real-time mode, which is extremely resource-intensive and will likely lead to similar 'too many results' errors.

Answer

Use the 'streamstats' command to incrementally calculate revenue and limit the time range to the last 5 minutes to reduce the result set.

Answer

Reduce the search to only show the top 5 categories by using 'head 5' and set a 5-second auto-refresh on the dashboard.

Answer

Change the search to use the 'timechart' command with 'span=5s' and set the search to real-time mode.