Splunk Splunk Cloud Certified Admin SPLK-1005 Exam Dumps: Updated Questions & Answers (September 2025)

The correct SEDCMD setting to mask the credit card numbers, ensuring that the masked version replaces each digit with an "x" character, is Option A.

The SEDCMD syntax works as follows:

s/ starts the substitute command.

(?cc_num=\d{7})\d{9}/ matches the specific pattern of the credit card number in the logs.

\1xxxxxxxxx replaces the matched portion with the first captured group (the first 7 digits of the cc_num), followed by 9 "x" characters to mask the remaining digits.

/g ensures that the substitution is applied globally, throughout the string.

Thus, Option A correctly implements this requirement.

Splunk Documentation Reference: SEDCMD for Masking Data

In Splunk Cloud, data is deleted from an index when the buckets roll to the frozen stage and no archive is defined. When data in a bucket reaches the frozen stage, it is deleted unless a frozen-to-archival script is configured to move the data elsewhere. This process is part of the index lifecycle management in Splunk.

Splunk Documentation Reference: Managing Indexes

In Splunk, when configuring file and directory monitor inputs, several settings are available that control how data is indexed and processed. These settings are defined in the inputs.conf file. Among the given options:

host: Specifies the hostname associated with the data. It can be set to a static value, or dynamically assigned using settings like host_regex or host_segment.

index: Specifies the index where the data will be stored.

sourcetype: Defines the data type, which helps Splunk to correctly parse and process the data.

TCP_Routing: Used to route data to specific indexers in a distributed environment based on TCP routing rules.

host_regex: Allows you to extract the host from the path or filename using a regular expression.

host_segment: Identifies the segment of the directory structure (path) to use as the host.

Given the options:

Option B is correct because it includes host, index, sourcetype, TCP_Routing, host_regex, and host_segment. These are all valid settings for file and directory monitor inputs in Splunk.

Splunk Documentation References:

Monitor Inputs (inputs.conf)

Host Setting in Inputs

TCP Routing in Inputs

By referring to the Splunk documentation on configuring inputs, it's clear that Option B aligns with the valid settings used for file and directory monitoring, making it the correct choice.

Explanation: The ellipsis (...) in [monitor:///var/log/.../*.log] allows Splunk to monitor files ending in .log in all nested directories under /var/log/. [Reference: Splunk Docs on monitor stanza syntax]

Splunk Cloud Support should be contacted when issues arise that cannot be resolved internally or when problem isolation has been unsuccessful.

C. When unable to resolve issues or perform problem isolation is the correct answer. Splunk Cloud Support is typically involved when internal troubleshooting has been exhausted, and the issue requires expert assistance or deeper investigation. While scripted input troubleshooting might be handled by internal teams, contacting support for unresolved issues is the appropriate step.

Splunk Documentation References:

When to Contact Splunk Support

When there are conflicting configurations in Splunk, the platform resolves them based on the configuration file precedence rules. These rules dictate which settings are applied based on the hierarchy of the configuration files.

In the provided configurations:

The first configuration in $SPLUNK_HOME/etc/apps/unix/local/inputs.conf sets the sourcetype to access_combined.

The second configuration in $SPLUNK_HOME/etc/apps/search/local/inputs.conf sets the sourcetype to linux_secure.

Configuration File Precedence:

In Splunk, configurations in local directories take precedence over those in default.

If two configurations are in local directories of different apps, the alphabetical order of the app names determines the precedence.

Since "search" comes after "unix" alphabetically, the configuration in $SPLUNK_HOME/etc/apps/search/local/inputs.conf will take precedence.

Therefore, the value of the sourcetype property for this stanza is linux_secure.

Splunk Documentation References:

Configuration File Precedence

Resolving Conflicts in Splunk Configurations

This confirms that the correct answer is C. linux_secure.

Splunk executes scripts from specific directories that are structured within its installation paths. These directories typically include:

SPLUNK_HOME/etc/system/bin: This directory is used to store scripts that are part of the core Splunk system configuration.

SPLUNK_HOME/etc/apps/<app name>/bin: Each Splunk app can have its own bin directory where scripts specific to that app are stored.

SPLUNK_HOME/bin/scripts: This is a standard directory for storing scripts that may be globally accessible within Splunk's environment.

However, C. SPLUNKHOMS/ctc/scripts/local is not a recognized or standard path used by Splunk for executing scripts. This path does not adhere to the typical directory structure within the SPLUNK_HOME environment, making it the correct answer as it does not correspond to a valid script execution path in Splunk.

Splunk Documentation References:

Using Custom Scripts in Splunk

Directory Structure of SPLUNK_HOME

The correct attribute/value pair to successfully extract the timestamp from the provided events is TIME_FORMAT = %b %d %H:%M:%S. This format corresponds to the structure of the timestamps in the provided data:

%b represents the abbreviated month name (e.g., Sep).

%d represents the day of the month.

%H:%M:%S represents the time in hours, minutes, and seconds.

This format will correctly extract timestamps like "Sep 12 06:11:58".

Splunk Documentation Reference: Configure Timestamp Recognition

In Splunk, SEDCMD (Stream Editing Commands) is applied during the Typing Pipeline of the data indexing process. The Typing Pipeline is responsible for various tasks, such as applying regular expressions for field extractions, replacements, and data transformation operations that occur after the initial parsing and aggregation steps.

Here’s how the indexing process works in more detail:

Parsing Pipeline: In this stage, Splunk breaks incoming data into events, identifies timestamps, and assigns metadata.

Merging Pipeline: This stage is responsible for merging events and handling time-based operations.

Typing Pipeline: The Typing Pipeline is where SEDCMD operations occur. It applies regular expressions and replacements, which is essential for modifying raw data before indexing. This pipeline is also responsible for field extraction and other similar operations.

Index Pipeline: Finally, the processed data is indexed and stored, where it becomes available for searching.

Splunk Cloud Reference: To verify this information, you can refer to the official Splunk documentation on the data pipeline and indexing process, specifically focusing on the stages of the indexing pipeline and the roles they play. Splunk Docs often discuss the exact sequence of operations within the pipeline, highlighting when and where commands like SEDCMD are applied during data processing.

Source:

Splunk Docs: Managing Indexers and Clusters of Indexers

Splunk Answers: Community discussions and expert responses frequently clarify where specific operations occur within the pipeline.

transforms.conf is used for various advanced data processing tasks in Splunk, including:

Per-Event Sourcetype: Dynamically assigning a sourcetype based on event content.

Per-Event Host Name: Dynamically setting the host field based on event content.

Per-Event Index Routing: Directing specific events to different indexes based on their content.

Option B correctly identifies these common uses of transforms.conf.

Splunk Documentation Reference: transforms.conf - Configuration