SPLK-1001 Practice Test 14 — 15 Questions

Question 1

Which TWO chart types are best suited for showing the distribution of categorical data?

Accepted Answer

Pie chart. A pie chart (D) is correct because it displays parts of a whole, dividing a single circle into slices proportional to each category's share, which makes the distribution of categorical data immediately visible. A column chart (E) is also correct because it plots each category along the x-axis with a bar whose height represents its frequency or value, making it easy to compare the distribution across categories. A scatter chart (A) is not appropriate because it shows the relationship between two continuous numeric variables, not category proportions. A line chart (B) is unsuitable because it implies a continuous trend or progression over an ordered axis rather than distinct categories. An area chart (C) is likewise not ideal because it emphasizes cumulative magnitude or trends over a continuous dimension, not the distribution of discrete categories.

Answer

Scatter chart

Answer

Line chart

Answer

Area chart

Question 2

Which of the following are true about creating and managing dashboards in Splunk? (Choose all that apply. There are four correct answers.)

Accepted Answer

When editing a dashboard, you can set permissions to control which users can view or edit it.. The four correct statements are: (1) A dashboard can include panels based on reports, inline searches, or both; (2) A dashboard panel can display data using visualizations such as charts, tables, and maps; (3) A dashboard can be created from scratch using the Dashboard Editor without any existing search; (4) When editing a dashboard, you can set permissions to control which users can view or edit it. These are all documented features of Splunk dashboards. The two incorrect statements are false: dashboards do NOT require a saved report (they can use inline searches), and there is no fixed limit of five panels per dashboard.

Answer

Dashboards can only contain up to five panels per dashboard.

Answer

All dashboards must be based on a saved report before they can be created.

Question 3

A security team needs to create a report that shows the number of distinct users who triggered a firewall block each day for the past 30 days. Which search and visualization combination should be used?

Accepted Answer

Use `dc(user)` with `timechart` and a column chart. `dc(user)` calculates the distinct count of users, and `timechart` automatically groups results by time (e.g., per day) over the specified 30-day range. A column chart is the appropriate visualization for displaying discrete daily counts, as it clearly shows trends over time.

Answer

Use `dc(user)` with `chart` and a column chart

Answer

Use `top user` with `timechart` and a pie chart

Answer

Use `count` with `chart` and a bar chart

Question 4

Which THREE of the following are default Splunk roles?

Accepted Answer

admin. Splunk ships with three built-in default roles: admin, power, and user. Option A (admin) is correct because it is the superuser role with full access to all Splunk features, including managing users, roles, and licensing. Option B (power) is correct because it is a default role granting broad capabilities such as creating and sharing searches, alerts, and reports, but without administrative privileges. Option E (user) is correct because it is the default role assigned to new users, allowing them to run their own searches and save results without elevated permissions. Options C (manager) and D (operator) are not default Splunk roles; they do not exist as built-in roles in a standard Splunk installation.

Answer

manager

Answer

operator

Question 5

Which two of the following search commands are transforming commands? (Choose two.)

Accepted Answer

chart. In Splunk Search Processing Language (SPL), transforming commands are those that order the results into a data table for statistical/charting output, and both chart (D) and stats (E) are canonical transforming commands: chart aggregates events into a table of values arranged by a row (x-axis) and optional column split, while stats computes aggregations such as count, sum, avg, or dc grouped by one or more fields, producing tabular results. Because they convert raw events into a results table, they are the two transforming commands among the choices. The search command (A) is a non-transforming command that retrieves and filters events, eval (B) is a non-transforming command that calculates and assigns new fields to each event, and fields (C) is a non-transforming command that includes or excludes fields from results without aggregating them.

Answer

search

Answer

eval

Answer

fields

Question 6

A user wants to create a dashboard panel that refreshes automatically every 60 seconds. Which setting must be configured in the panel's edit mode?

Accepted Answer

Set the Refresh Interval to 60 seconds. The dashboard panel's edit mode includes a 'Refresh Interval' setting that allows you to specify an automatic refresh period in seconds. Setting this to 60 causes the panel to re-run its underlying search and update the visualization every 60 seconds without manual intervention.

Answer

Add | delay 60 to the search

Answer

Schedule the search to run every 60 seconds

Answer

Set the Time Range to Last 60 seconds

Question 7

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 8

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 9

Refer to the exhibit. An administrator runs this command. What is the effect?

Accepted Answer

Returns the contents of the CSV file as search results.. The command `inputlookup` reads the contents of the specified CSV file and returns them as search results. It does not create a lookup definition or persistent data input; it is a one-time import for the current search.

Answer

Creates a lookup definition named my_lookup using the file my_lookup.csv.

Answer

Creates a lookup definition and automatically populates it with the file contents.

Answer

Adds the file to the monitor directory.

Question 10

A Splunk administrator notices that a new user cannot see any data in the Search & Reporting app, even though the user has the 'user' role. What is the most likely cause?

Accepted Answer

The user has not been granted access to any indexes.. The 'user' role in Splunk includes the 'search' capability by default, which allows users to run searches. However, even with the search capability, a user cannot see any data unless they have explicit read access to one or more indexes. Index-level access is controlled via roles, and the default 'user' role does not grant access to any indexes; it only provides the ability to search indexes that the user has been granted access to. Therefore, the most likely cause is that the new user has not been assigned to a role that includes index access.

Answer

The user does not have the 'search' capability.

Answer

The user is limited to viewing only saved searches.

Answer

The user is not using the correct time range.

Question 11

An administrator reports that a data model acceleration job is consistently failing for a root event with a large dataset. What is the most likely cause?

Accepted Answer

The acceleration summary range is set to 'All time' and the dataset is very large.. Data model acceleration builds summary (tsidx) files over a defined time range. If the acceleration summary range is set to 'All time' on a root event with a very large dataset, the acceleration job must build and rebuild summaries over an enormous volume of data, which frequently exceeds resource limits and causes the job to fail consistently. Narrowing the summary range to a realistic window (e.g., 7 or 30 days) is the standard fix.

Answer

The data model has a calculated field with an incorrect type.

Answer

The root event constraint is too restrictive.

Answer

The acceleration summary range is too short.

Question 12

Which four of the following are best practices for working with data models in Splunk? (Choose four.)

Accepted Answer

Regularly review and update data models to reflect changes in data sources.. Null is correct because data model acceleration pre-computes and stores summaries of the data, dramatically reducing search time on large datasets. This is a core best practice for optimizing performance when working with data models in Splunk.

Answer

Avoid using calculated fields within data models to reduce complexity.

Answer

Design data models to match the structure of your raw data as closely as possible.

Question 13

Which TWO are best practices for creating data models in Splunk? (Choose two.)

Accepted Answer

Use data model acceleration to improve query performance on large datasets.. Option A is correct because data model acceleration precomputes and stores the model's results in a separate summary index, so searches against large datasets return dramatically faster without re-running the underlying base search each time. Option C is correct because Splunk best practice is to design data models around the actual use cases, reports, and pivots they must serve, keeping them focused and efficient rather than generic. Option B is not a best practice because data models are built on top of base searches and typically rely on search-time field extractions (and field aliases/eval), not solely on indexed fields. Option D is wrong because many-to-many relationships between root events and child datasets are not supported or recommended; data models use constrained parent-child (hierarchical) relationships. Option E is wrong because including all available fields bloats the model, increases acceleration storage and time, and reduces performance; only fields needed for the use cases should be included.

Answer

Base data models on indexed fields rather than search-time extracted fields.

Answer

Create many-to-many relationships between root events and child datasets.

Answer

Include all available fields to ensure maximum flexibility.

Question 14

During data model creation, an administrator adds a calculated field that concatenates `src_ip` and `dest_ip` with a hyphen. Which of the following is a best practice for calculated fields in data models?

Accepted Answer

Calculated fields should be used sparingly to avoid impacting search performance.. Calculated fields in data models are evaluated at search time, not index time, meaning they add computational overhead for every search that references them. Using them sparingly is a best practice because excessive calculated fields can degrade search performance, especially in large datasets or when the data model is accelerated. Option B correctly identifies this performance consideration.

Answer

Calculated fields should only use basic mathematical operations, not string functions.

Answer

Calculated fields are evaluated at index time, so they improve search performance.

Answer

Calculated fields are automatically accelerated when the data model is accelerated.

Question 15

A user runs a search but sees no results, even though they know events exist. The search does not show any errors. What is the most likely cause?

Accepted Answer

The time range picker is set to a very narrow or recent window that doesn't include any events.. The most likely cause is that the time range picker is set to a very narrow or recent window that does not include any events. Splunk searches are always constrained by the selected time range, and if the time range does not cover the period when the events were indexed, no results will be returned even though the data exists. The absence of search errors confirms the query syntax is valid, but the time filter silently excludes matching events.

Answer

The user is in the wrong app and cannot see any data.

Answer

The indexer is out of disk space and cannot return results.

Answer

The search is specifying an incorrect index that doesn't exist.