SPLK-1001 Practice Test 3 — 30 Questions

Question 1

A user runs a search that returns thousands of results. They need to see only the first 100 events after sorting by time descending. Which command should they use?

Accepted Answer

sort - _time | head 100. The user needs the first 100 events after sorting by time descending. The `sort - _time` command sorts events in descending order by timestamp, and piping the result to `head 100` returns the first 100 events from that sorted list, which are the most recent 100 events. This is the correct approach because `head` returns events from the top of the result set, and sorting ensures the top events are the newest.

Answer

reverse

Answer

tail 100

Answer

head 100

Question 2

Which THREE of the following are transforming commands in Splunk?

Accepted Answer

stats. The `stats`, `timechart`, and `chart` commands are all transforming commands in Splunk because they convert raw event data into statistical results, typically producing a table or time-based chart. Unlike non-transforming commands (e.g., `search` or `eval`), these commands change the data structure from events to a summary, which is required for visualizations and further statistical processing.

Answer

search

Answer

eval

Question 3

A user wants to remove duplicate events based on the 'transaction_id' field, keeping only the first occurrence. Which command is appropriate?

Accepted Answer

dedup transaction_id. The `dedup` command removes duplicate events based on specified fields, keeping only the first occurrence by default. Since the user wants to keep the first occurrence of each unique `transaction_id`, `dedup transaction_id` is the correct and simplest approach.

Answer

fields - transaction_id

Answer

sort transaction_id | dedup transaction_id

Answer

uniq transaction_id

Question 4

When tagging events in Splunk to map them to a data model, which tag is used to associate events with a specific data model dataset?

Accepted Answer

tag::=. In Splunk, the tag syntax `tag::=` is used to map events to a specific dataset within a data model. The tag key is the data model name, and the tag value is the dataset name, which allows Splunk's data model acceleration to correctly categorize events for reporting and pivot use.

Answer

tag::datamodel=<dataset>

Answer

tag::<datamodel>=<value>

Answer

tag::<dataset>=<datamodel>

Question 5

An organization wants to define a data model that represents transaction-level data from multiple source types, including web logs and application logs. They need to ensure that the data model is scalable and easy to maintain. Which best practice should the admin follow when designing this data model?

Accepted Answer

Use child objects under a root event to represent different sourcetypes, and assign appropriate constraints.. Using child objects under a root event allows the admin to model transaction-level data from multiple sourcetypes (e.g., web logs, application logs) within a single data model, promoting scalability and maintainability. By assigning appropriate constraints to each child object, the admin ensures that only relevant events are included, while the root event provides a common structure for transaction analysis. This approach follows Splunk best practices for data model design, enabling efficient searches and reducing duplication.

Answer

Create separate data models for each sourcetype to avoid complexity.

Answer

Avoid using constraints to ensure all events are included in the data model.

Answer

Include all possible fields that might ever be needed in the data model to avoid future modifications.

Question 6

A large e-commerce company ingests 10 TB/day of web access logs into Splunk. They have enabled the CIM-compliant Web data model and created data model acceleration with a 90-day range. Users run reports using pivot to analyze HTTP status codes, client IPs, and URIs. Recently, two issues arose: (1) Pivot reports are returning incomplete or outdated results, sometimes missing data from the last few hours. (2) Acceleration summary size has ballooned to over 500 GB, causing search head performance degradation. The Splunk admin suspects that data model acceleration is not configured optimally. Upon inspection, the Web data model's root search contains a complex filter with multiple eval commands and lookups, and the acceleration time range is set to the same 90 days as the summary range. The admin also notices that the data model is defined as non-time-based, even though the events have timestamps and the pivot often uses time ranges. What is the best course of action to resolve both issues while maintaining accuracy and performance?

Accepted Answer

Change the data model to time-based, narrow acceleration range to 7 days, and simplify the root search by removing expensive eval/ lookups and using search-time field extractions instead.. Making the data model time-based allows acceleration to use time-bucketed summaries, which ensures recent data is included in pivot results and prevents incomplete results. Narrowing the acceleration range to 7 days reduces the summary size drastically (from 500+ GB to a manageable size), and simplifying the root search by removing expensive eval/lookups improves acceleration build performance and reduces overhead. This directly addresses both issues: incomplete recent data and excessive summary size.

Answer

Change the data model to time-based and set acceleration to 180 days to cover all data.

Answer

Keep the data model as non-time-based but reduce acceleration range to 30 days and add a constraint to filter out irrelevant events.

Answer

Disable acceleration for the Web data model and instead create an accelerated search report for each common pivot query.

Question 7

A team is designing a data model for IT operations. They have fields like `src_ip`, `dest_ip`, `user`, and `action`. Which best practice should they follow when naming the root event dataset?

Accepted Answer

Use camelCase, e.g., 'itOperations'.. Splunk data model root event dataset names must follow camelCase naming conventions to ensure compatibility with the Splunk search language and to avoid parsing issues. CamelCase prevents spaces and special characters that could break field references in searches and data model acceleration.

Answer

Use underscores and numbers for clarity.

Answer

Use a short abbreviation like 'ITOps'.

Answer

Use a generic name like 'events'.

Question 8

A user wants to rename the field 'src_ip' to 'sourceIP' in all search results without modifying the raw data. Which method should they use?

Accepted Answer

Use the rename command: | rename src_ip as sourceIP. The `rename` command is the correct choice because it changes the field name in the search results without altering the underlying raw data. It operates on the field metadata in the search pipeline, allowing you to display 'sourceIP' instead of 'src_ip' for the duration of the search.

Answer

Use the eval command to assign src_ip to a new field sourceIP

Answer

Add an alias in props.conf

Answer

Use the fields command: | fields src_ip as sourceIP

Question 9

A user runs a search and uses `| lookup mylookup myfield OUTPUT myfield2`. The search returns events that have myfield values, but myfield2 is null. The lookup file has matching entries. What is the most likely issue?

Accepted Answer

The lookup definition is case-sensitive and the event values have different case.. The lookup definition in Splunk has a case-sensitivity setting. By default, lookups are case-insensitive, but if the lookup definition is configured to be case-sensitive, then the lookup will only match when the case of the event field value exactly matches the case in the lookup file. Since the events have myfield values but myfield2 is null, the lookup is failing to match due to case differences, even though the lookup file has matching entries.

Answer

The lookup definition is missing the max_matches setting.

Answer

The lookup file has duplicate keys.

Answer

The lookup command should use OUTPUTNEW instead of OUTPUT.

Question 10

A user has a lookup file containing employee email addresses and department names. They want to add the department field to search results containing the employee's email. Which command should they use?

Accepted Answer

lookup employee_department.csv email OUTPUT department. The `lookup` command is designed to enrich search results by matching a field in the events (e.g., email) against a lookup table (e.g., employee_department.csv) and outputting additional fields (e.g., department). Option B correctly uses the syntax `lookup employee_department.csv email OUTPUT department`, which performs a field-based lookup and appends the department field to matching events.

Answer

inputlookup employee_department.csv

Answer

eval department=employee_department(email)

Answer

outputlookup employee_department.csv

Question 11

A security analyst wants to create a report that shows the count of failed login attempts per user over the last 24 hours, but only for users with more than 5 failures. Which Splunk command sequence should be used?

Accepted Answer

index=main action=failure | stats count by user | where count > 5. It first filters events to only failed login attempts using `index=main action=failure`, then uses `stats count by user` to count failures per user, and finally applies `where count > 5` to keep only users with more than 5 failures. This sequence ensures the count is calculated only on the relevant subset of events and the filter is applied after aggregation.

Answer

index=main action=failure | top limit=5 user

Answer

index=main | stats count by user | where count > 5

Answer

index=main action=failure | stats count by user | search count > 5

Question 12

A Splunk admin notices that a lookup is not matching fields correctly. The lookup file has a header row with field names. The search uses `lookup usernames.csv user_id OUTPUT username`. Some events have `user_id` values that exist in the lookup but no match occurs. What is the most likely cause?

Accepted Answer

The lookup file has leading or trailing spaces in the matching column.. Leading or trailing spaces in the lookup file's matching column prevent exact string matching. When Splunk performs a lookup, it compares the field value from the event with the lookup file value using an exact string match. If the lookup file contains spaces (e.g., '123 ' instead of '123'), the values will not match even though the event's `user_id` appears correct. This is a common data quality issue in CSV files.

Answer

The lookup file is missing the header row.

Answer

The lookup is case-sensitive and the search field has different case.

Answer

The lookup file has quotes around field values that are not stripped.

Question 13

A lookup definition is configured with a very large CSV file. The lookup performs slowly. Which change would most improve performance?

Accepted Answer

Ensure the lookup field in the file is the first column.. Splunk's lookup command performs a linear scan of the CSV file to find matching values. By placing the lookup field as the first column, Splunk can use an internal optimization that reduces the search space, as it can quickly locate the matching row without scanning the entire file. This is the most effective single change for improving performance with a large CSV-based lookup.

Answer

Use inputlookup instead of lookup.

Answer

Add an index to the lookup file.

Answer

Convert the CSV to a TSV.

Question 14

Which of the following are valid reasons to use a lookup in Splunk? (Choose two.)

Accepted Answer

To enrich events with additional information from an external source.. A lookup in Splunk enriches events by adding fields from an external source, such as a CSV file, KV store, or scripted lookup, based on a matching field in the event. This allows you to bring in contextual data (e.g., user names, device details) without modifying the original raw data.

Answer

To create new fields using the eval command.

Answer

To alias field names permanently.

Answer

To change the timestamp format of events.

Question 15

An analyst wants to see all field names and their types from a search result. Which command can be used?

Accepted Answer

fieldsummary. The `fieldsummary` command returns a table listing all field names, their types (e.g., number, string), and basic statistics (count, distinct count) from the search results. This directly meets the analyst's requirement to see field names and their types without manually inspecting raw events.

Answer

fields *

Answer

eval

Answer

rex

Question 16

An analyst needs to create a lookup file. Which TWO methods can be used?

Accepted Answer

Upload a CSV file via the Lookups UI.. The Lookups UI in Splunk Web provides a direct method to upload a CSV file and create a lookup table file (static lookup) without needing to write any commands. Option E is correct because the `outputlookup` command writes the results of a search directly into a lookup file, creating or appending to a lookup definition. Both are standard methods for creating lookup files in Splunk.

Answer

Use inputlookup command.

Answer

Use rex to parse and then outputcsv.

Answer

Use eval to create a table and then export.

Question 17

Which THREE best practices should be followed when creating dashboards for a large organization with many users?

Accepted Answer

Use scheduled searches instead of real-time to reduce load. Scheduled searches run at defined intervals and cache results, reducing the load on indexers and search heads compared to real-time searches that continuously stream data. This is especially important in large organizations with many users, as real-time searches can consume significant system resources and degrade performance for all users.

Answer

Use multiple base searches per panel for flexibility

Answer

Use exclusively real-time searches for up-to-date data

Question 18

An analyst creates a dashboard with multiple panels. One panel shows a table of top users by login count. The analyst wants to add a second panel that updates based on the user clicked in the first panel. Which feature should be used?

Accepted Answer

Enable drilldown on the first panel to set a token, and reference that token in the second panel's search.. Drilldown in Splunk allows you to pass context from one panel to another by setting tokens when a user clicks on a value. The first panel's drilldown can set a token (e.g., `$clicked_user$`) which is then referenced in the second panel's search using `| search user=$clicked_user$`. This enables dynamic filtering without requiring separate reports or manual interaction.

Answer

Schedule the first panel as a report and the second as a related report.

Answer

Use the same chart type for both panels to ensure consistency.

Answer

Set both panels to use the same time range picker.

Question 19

A security analyst creates a report that shows the count of failed login attempts by user over the last 7 days. The report uses the `top` command. However, the report only shows the top 10 users, but the analyst wants to see all users. What should the analyst do?

Accepted Answer

Add the `limit=0` argument to the `top` command.. The `top` command in Splunk defaults to showing the top 10 results. Adding `limit=0` removes this limit, displaying all users with failed login attempts. This is the correct approach because `top` already counts occurrences and sorts them, so the analyst only needs to override the default limit.

Answer

Use the `rare` command instead.

Answer

Change the time range to include more data.

Answer

Use the `stats count by user` command and sort descending.

Question 20

A dashboard panel using a bar chart shows a large number of values on the x-axis, making the chart unreadable. Which dashboard option should be used to limit the number of bars shown?

Accepted Answer

Limit in the chart options. The 'Limit' option in the chart configuration allows you to specify the maximum number of data points (bars) displayed on the x-axis. By setting a limit, you reduce the number of bars shown, preventing overcrowding and making the chart readable. This is a direct control over the cardinality of the x-axis values in Splunk's visualization settings.

Answer

Overlay in the chart options

Answer

Color by field in the chart options

Answer

Stack mode in the chart options