SPLK-1001 Practice Test 34 — 15 Questions

Question 1

Which THREE actions are possible when editing a dashboard in Studio?

Accepted Answer

Set a custom time range for the dashboard.. In Splunk Dashboard Studio, you can set a custom time range for the entire dashboard via the 'Time Range' picker in the editor. This overrides the default time range and applies to all panels that do not have their own explicit time range set, allowing consistent temporal scoping across the dashboard.

Answer

Edit the underlying search of a report used in a panel.

Answer

Export the dashboard as a PDF from the editor.

Question 2

A user needs to create a report showing the average response time per endpoint for the last hour. Which command would produce this result?

Accepted Answer

stats avg(response_time) by endpoint. The `stats` command with `avg(response_time) by endpoint` calculates the average response time for each unique endpoint, which directly meets the requirement of showing average response time per endpoint for the last hour. The `stats` command is the standard way to compute aggregate statistics like average over grouped fields in Splunk.

Answer

chart avg(response_time) over endpoint

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eval avg(response_time)

Answer

top endpoint

Question 3

Which TWO of the following statements about the `stats` command in Splunk are correct? (Choose two.)

Accepted Answer

The `stats` command is used to compute summary statistics such as count, sum, avg, and distinct count.. The `stats` command in Splunk is specifically designed to compute summary statistics like count, sum, avg, and distinct count over a set of events. It transforms raw event data into aggregated results, making it a core transforming command for reporting and analysis.

Answer

The `stats` command displays a list of individual events with their fields.

Answer

The `stats` command is used to create new fields using the `eval` function.

Answer

The `stats` command can only be used with numeric fields.

Question 4

A medium-sized enterprise uses Splunk Enterprise with a single indexer and one search head. They have 50 universal forwarders sending data from web servers, application servers, and database logs. Recently, the indexer crashed during peak hours. The administrator restarted the indexer and it came back up. After analyzing the crash log, they found that the indexer ran out of memory. The indexer has 16 GB RAM and the default memory settings. The daily indexing volume is about 20 GB. The administrator is concerned about stability. They want to prevent future crashes without adding hardware. What should they do?

Accepted Answer

Reduce the max memory for the indexer process in limits.conf. The indexer crashed due to running out of memory with 16 GB RAM and default settings. Reducing the max memory for the indexer process in limits.conf (specifically the maxMemMB parameter) limits the heap size used by Splunk, preventing out-of-memory (OOM) kills during peak indexing loads. This is a software-level tuning that avoids hardware upgrades by capping memory consumption to a safe level below the physical RAM.

Answer

Reduce the number of forwarders sending data

Answer

Switch universal forwarders to heavy forwarders

Answer

Increase the max memory for the indexer process in limits.conf

Question 5

The exhibit shows log output from a Splunk search head. What is the most likely performance issue indicated?

Accepted Answer

The 'error_count' search is inefficient, consuming high CPU for few results.. The 'error_count' search is inefficient because it likely uses a large, unoptimized search over many events to produce a small count, consuming high CPU. This is a classic case of a search that scans too much data for minimal output, often due to missing index-time optimizations or using inefficient commands like 'search error_count' without narrowing the time range or using indexed fields.

Answer

The 'login_failures' search is scanning too many events.

Answer

The search head is overloaded due to multiple simultaneous searches.

Answer

There are duplicate search job IDs (SIDs) conflicting.

Question 6

Refer to the exhibit. The search returns a count for only a subset of user_ids, even though all user_ids exist in the lookup. What could explain this?

Accepted Answer

The events that are missing have different user_id representations (e.g., leading/trailing spaces) causing lookup failure, so first_name is null and they are filtered out.. The lookup command matches user_id values exactly. If some events have user_id values with leading/trailing spaces or other subtle differences (e.g., case sensitivity), the lookup fails to match those events, resulting in null first_name values. The subsequent `stats count by first_name` then filters out those null values, so only the subset of user_ids that successfully matched appear in the results.

Answer

The stats command is grouping by user_id, which combines multiple events into one count per user.

Answer

The lookup definition must also include the OUTPUT fields in the definition for them to be used.

Answer

The lookup definition has max_matches=1, but some user_ids have multiple matches in the lookup file.

Question 7

An analyst needs to count the number of distinct IP addresses that accessed a server. Which approach is most efficient?

Accepted Answer

| stats dc(src_ip). `| stats dc(src_ip)` uses the `dc()` (distinct count) function to directly calculate the number of unique IP addresses in a single pass over the data. This is the most efficient approach as it avoids creating intermediate events or performing separate deduplication steps, leveraging Splunk's streaming stats for minimal memory and CPU overhead.

Answer

| stats count by src_ip

Answer

| dedup src_ip | stats count

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| fields src_ip | sort | uniq

Question 8

A Splunk administrator is configuring a lookup to enrich firewall logs with a static CSV file containing allowed IP ranges. Which TWO statements about lookup configuration are correct?

Accepted Answer

The lookup definition must include the fields to match on from the event data.. A lookup definition must specify the fields from the event data that will be used to match against the lookup table. This is configured in the 'Lookup definition' settings where you define the input fields (event fields) and output fields (lookup fields). Without this match configuration, Splunk cannot correlate the event data with the CSV file contents.

Answer

A KV Store lookup is required for static tables.

Answer

The lookup is defined in macros.conf.

Answer

The CSV file must be placed in an absolute path on the search head.

Question 9

Which TWO of the following are valid ways to create a data model in Splunk?

Accepted Answer

From the Settings menu, select Data Models, then click New.. Splunk provides a dedicated UI path to create data models: from the Settings menu, select Data Models, then click New. This is the standard method for defining a new data model, allowing you to specify constraints, field definitions, and object hierarchies without using any command-line or search-based approach.

Answer

Run the | makeresults command and pipe to | datamodel.

Answer

Import a CSV file from a lookup and convert it to a data model.

Answer

Use the mksplunk command in the CLI.

Question 10

An admin notices that a lookup is not returning any results for some events even though matching keys exist. What is the most likely cause?

Accepted Answer

The lookup is case-sensitive and the key values have different cases. Lookups in Splunk are case-sensitive by default. If the lookup file contains key values in a different case (e.g., 'ABC') than the event field values (e.g., 'abc'), the lookup will not match, even though the underlying data is logically equivalent. This is a common cause of lookup failures when the data sources have inconsistent casing.

Answer

The lookup field name is different from the event field name

Answer

The lookup is defined with the wrong field order

Answer

The time range of the search is too narrow

Question 11

An organization has a large dataset and wants to create a daily report of top 10 error messages. The search takes a long time to run. Which optimization approach reduces run time while maintaining accuracy?

Accepted Answer

Use summary indexing to pre-aggregate. Summary indexing pre-aggregates data at search time and stores the results in a summary index. The daily report can then run against this pre-computed summary rather than scanning the entire raw dataset, drastically reducing run time while preserving accuracy because the aggregation is done once.

Answer

Use | rare instead of | top

Answer

Use | head 10 early in the search

Answer

Increase the time range

Question 12

Which THREE elements are required to create a dashboard in Splunk Web? (Choose three.)

Accepted Answer

At least one panel. A dashboard in Splunk Web must contain at least one panel to display data. Panels are the fundamental building blocks of a dashboard; without them, there is no content to visualize. A dashboard with zero panels is invalid and cannot be saved or rendered.

Answer

A time range picker

Answer

A scheduled report in at least one panel

Question 13

To create a real-time dashboard panel showing errors in the last 30 minutes, which time range setting should be used?

Accepted Answer

Real-time (30 minutes). A real-time dashboard panel that shows errors in the last 30 minutes requires a 'Real-time' time range with a specific window of 30 minutes. In Splunk, the 'Real-time (30 minutes)' setting continuously updates the panel to show events from the current time back 30 minutes, which is exactly what is needed for monitoring recent errors as they occur.

Answer

Real-time

Answer

Last 30 minutes

Answer

All time

Question 14

An organization wants to build a data model that includes data from multiple sourcetypes. Which best practice should they follow regarding field definitions?

Accepted Answer

Normalize fields to have the same name and type across sourcetypes.. Data models in Splunk are designed to normalize data from multiple sourcetypes into a common schema. By defining fields with the same name and type across sourcetypes, you enable consistent reporting, pivot analysis, and data model acceleration. This best practice ensures that field values are comparable and aggregations work correctly regardless of the source.

Answer

Define separate fields for each sourcetype with unique names.

Answer

Leave fields as 'unknown' and let the search head infer types.

Answer

Use automatic field extraction for each sourcetype at index time.

Question 15

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?

Accepted Answer

The browser window is too small, causing panels to be hidden by the responsive interface.. Splunk Web has a responsive interface that hides the field sidebar and timeline when the browser window is too small. The technician noticed the user’s browser window was very small, which causes these panels to be hidden to fit the viewport. Option A is incorrect because the default app is set correctly to 'Search & Reporting'. Option B is incorrect because there is no specific user preference to disable the timeline; the timeline is controlled by the responsive layout. Option D is incorrect because user roles do not affect the visibility of these UI elements; they are available to all roles.

Answer

The user's default app is set incorrectly.

Answer

The user has disabled the timeline in their preferences.

Answer

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