SPLK-1001 Practice Test 19 — 15 Questions

Question 1

An analyst needs to see the top 5 error codes by count. Which visualization is most appropriate?

Accepted Answer

Bar chart. A bar chart is the most appropriate visualization for comparing the count of distinct error codes because it allows easy comparison of categorical data (error codes) against a numeric value (count). In Splunk, the `top` command or `stats count by error_code` produces results that are best visualized with a bar chart to show the relative frequency of each error code, and the chart can be limited to the top 5 by setting the limit in the search or chart properties.

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Pie chart

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Line chart

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Single Value

Question 2

Refer to the exhibit. The search returns no results for the 'country' field even though the lookup file exists and contains IP-to-country mappings. Which is the most likely issue?

Accepted Answer

The IP field extracted by rex is in a different format than the lookup key.. The most likely issue is that the IP field extracted by the `rex` command is in a different format than the lookup key (e.g., the lookup expects an integer representation of the IP, or a different subnet notation, or the extracted field contains extra characters like whitespace or quotes). Lookups match based on exact string equality, so any mismatch in format (e.g., '192.168.1.1' vs '192.168.001.001' or '3232235521') will cause zero results, even if the lookup file is correctly configured and contains the mapping.

Answer

The lookup command should be placed before the rex command.

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The country field already exists in the events.

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The lookup file is in the wrong directory.

Question 3

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.

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

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The chart type is not specified.

Question 4

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

Accepted Answer

inputlookup. Option B, inputlookup, is correct because it is the Splunk search command that reads the contents of a lookup file (CSV or KV Store) directly into the search results as events, effectively bringing lookup data into a search. Option E, lookup, is correct because it enriches search results by matching fields against a lookup table and appending the lookup's fields to each matching event, which is the standard way to bring lookup data into a search. Option A, outputlookup, is incorrect because it does the opposite — it writes search results out to a lookup file rather than bringing lookup data in. Option C, csvlookup, is not a valid Splunk command. Option D, filelookup, is also not a valid Splunk command.

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outputlookup

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csvlookup

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filelookup

Question 5

A new Splunk user wants to view the raw event data for the last hour. Which interface should they use?

Accepted Answer

Search & Reporting. The Search & Reporting interface (D) is the primary Splunk app for running searches and viewing raw event data. By default, it shows events from the last 24 hours, but the user can easily set the time range picker to 'Last hour' to see raw events for that period. This interface provides the search bar, timeline, and event listing necessary to inspect raw data.

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Search History

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Settings

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Data Summary

Question 6

In a dashboard, a user wants to click on a bar in a chart and navigate to another dashboard with relevant data for that bar. Which feature should they configure?

Accepted Answer

Drilldown. Drilldown is the correct feature because it allows a user to click on a data point (e.g., a bar in a chart) and navigate to another dashboard, passing the relevant field values as tokens to filter the target dashboard's data. This is a built-in capability in Splunk dashboards, configurable via the 'Drilldown' editor or XML attributes like `drilldown` on chart elements.

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Link to search

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Custom URL

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Tokens

Question 7

Which of the following is a best practice when creating custom data models?

Accepted Answer

Define constraints that filter events to include only relevant data.. Defining constraints in a custom data model is a best practice because they filter events to include only relevant data, which improves search performance and ensures the data model remains focused on specific use cases. Constraints use the same syntax as search-time field filtering (e.g., `eventtype=*` or `sourcetype=access_combined`) to limit the dataset, reducing the volume of events processed during acceleration and search. This aligns with Splunk's recommendation to keep data models lean and targeted for efficient acceleration and accurate reporting.

Answer

Use flat structure with no child datasets.

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Avoid using constraints to limit data.

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Include all available fields for maximum flexibility.

Question 8

A Splunk admin wants to ensure that data models are built efficiently and do not consume excessive resources. Which of the following is a best practice when creating data models?

Accepted Answer

Define constraints carefully to include only relevant events for each object.. Defining constraints carefully ensures that each data model object only processes events relevant to its purpose, which reduces the search scope and improves performance. Constraints act as filters on the base search, so tighter constraints mean fewer events are scanned and less memory is consumed during acceleration. This is a core Splunk data model best practice for efficiency.

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Add tags to every field in the data model for better discoverability.

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Convert all fields to calculated fields to normalize the data model.

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Use a single root event with no child objects to simplify the data model.

Question 9

A data model has been accelerated but some Pivot reports are showing incomplete data. What is the most likely cause?

Accepted Answer

The acceleration summary range does not cover the full time range of the report.. Data model acceleration builds summary datasets (TSIDX files) over a defined time range, and Pivot reports querying outside that range will return incomplete results. If the acceleration summary range does not cover the report's full time range, the report shows partial data. This is the most common cause of incomplete Pivot output when acceleration is enabled.

Answer

The data model has too many fields.

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The data model is not normalized.

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The search time field extractions are conflicting.

Question 10

An analyst runs the search `index=web | stats count by status | sort - count` and wants to show only status codes with count greater than 100. Which command should be added before the sort?

Accepted Answer

where count>100. The `where` command is used to filter results based on a condition after statistical aggregation. In this search, `stats count by status` creates a field called `count`, and `where count>100` filters the results to show only status codes with a count greater than 100. The `where` command operates on the results of the `stats` command, making it the appropriate choice for post-aggregation filtering.

Answer

eval count>100

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search count>100

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filter count>100

Question 11

A new Splunk user opens Search & Reporting and wants to locate all fields that Splunk extracted from a particular event without typing any SPL command. Which interface element should the user click?

Accepted Answer

The Fields sidebar next to the event list. The Fields sidebar is the standard Splunk Web interface for discovering and inspecting fields extracted from events. It appears alongside search results and separates fields into Selected Fields and Interesting Fields. Clicking a field there shows its values and distribution, which is exactly what the user needs without writing any SPL. The other options either show different metadata or navigate away from the results.

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The Data Summary page under Settings

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The Job menu's Inspect Job option

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The Search & Reporting App navigation bar's Dashboards tab

Question 12

A security analyst wants to find the number of failed login attempts for each user account in the last hour. The analyst needs a report that shows each user and the count of failed logins, sorted with the highest count first. Which SPL command should be used to calculate the count of failed logins per user?

Accepted Answer

stats count BY user. The stats command with count BY user is the correct approach because it aggregates events by the user field and returns the number of events for each user. This gives a clear report of failed login counts per user. Other commands either remove duplicates or show only extremes, not the full count per user.

Answer

rare user

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top user

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dedup user

Question 13

A Splunk administrator is configuring a new user account and needs to assign capabilities through roles in Splunk Web. Which TWO actions are available from the Settings menu to manage users and roles? (Choose two.)

Accepted Answer

Create a new user and assign one or more roles to that user. User and role management in Splunk Web is performed under Settings > Users and Settings > Roles. Creating a role with specific capabilities and then assigning that role to a new user account are the two actions that directly configure access. The other options involve server configuration, index retention, or licensing, which are not part of user and role management through the Settings menu.

Answer

Assign a license to a specific user account

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Change the default index retention policy for all indexes

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Edit the search head's server.conf directly from the Settings menu

Question 14

A Splunk user wants to view the raw event text and all extracted fields for a single event in a search result, and then pivot to see all events that share the same value for the 'host' field. Which sequence of actions in Splunk Web accomplishes this?

Accepted Answer

Click the event's arrow to expand it, then click the host field value and choose 'View events with this host'. Expanding an event in search results shows the raw text and extracted fields, and clicking a field value such as host provides a menu to view all events with that value. This is the standard drill-down path in Splunk Web for pivoting from one event to related events. The other options either use unrelated diagnostic or summary features or do not operate on the individual event.

Answer

Click the event's timestamp to open the Timeline and then click the host field in the histogram

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Use the Search & Reporting App's Data Summary to select the host, then run a new search

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Open the Job menu, select Inspect Job, and search for the host value in the search log

Question 15

A junior Splunk user is analyzing HTTP status codes in the 'web' index. The user runs the search 'index=web | stats count by status' and sees a table with status codes and their counts. The user now wants to display only the status codes that have a count greater than 100. Which search should the user run?

Accepted Answer

index=web | stats count by status | where count > 100. After using stats to calculate counts, the where command is the correct way to filter results based on a numeric condition. It evaluates the expression for each result row and keeps only those that match. The search command cannot handle comparison operators, filter is not a valid command, and eval does not filter rows.

Answer

index=web | stats count by status | filter count > 100

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index=web | stats count by status | eval count > 100

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index=web | stats count by status | search count > 100