SPLK-1005 Exam Dumps - Splunk Certification Questions and Answers

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.

A private app in Splunk is one that is created and used within a specific organization, and is not publicly available in the Splunkbase app store.

C. An app that is created and used only by a specific organization is the correct answer. This type of app is developed internally and used by a particular organization, often tailored to meet specific internal needs. It is not shared with other organizations and remains private within that organization’s Splunk environment.

Splunk Documentation References:

Private Apps in Splunk

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, when ingesting logs such as an Apache access log, the time zone for each event is typically determined by the time zone indicator present in the raw event data itself. In the log snippet you provided, the time zone is indicated by -0400, which specifies that the event's timestamp is 4 hours behind UTC (Coordinated Universal Time).

Splunk uses this information directly from the event to properly parse the timestamp and apply the correct time zone. This ensures that the event's time is accurately reflected regardless of the time zone in which the Splunk instance or forwarder is located.

Splunk Cloud Reference: For further details, you can review Splunk documentation on timestamp recognition and time zone handling, especially in relation to log files and data ingestion configurations.

Source:

Splunk Docs: How Splunk software handles timestamps

Splunk Docs: Configure event timestamp recognition

Explanation: Default Splunk Cloud roles include power, user, and admin, each with unique permissions suitable for common operational and administrative functions. [Reference: Splunk Docs on user roles in Splunk Cloud]

Windows inputs in Splunk, particularly those that involve more advanced data collection capabilities beyond simple file monitoring, can utilize scripts or custom inputs. These are typically referred to as Modular Inputs.

C. Modular: This is the correct answer. Modular Inputs are designed to be configurable via the Splunk Web UI and can collect data using custom or predefined scripts, handling more complex data collection tasks. This is the type of input that is used for collecting Windows-specific data such as Event Logs, Performance Monitoring, and other similar inputs.

Splunk Documentation References:

Modular Inputs

Windows Data Collection

In the context of Splunk, when configuring data inputs to monitor specific directories, the correct syntax must match the directory paths accurately and adhere to the format recognized by Splunk.

Option A: [monitor:///apache/*/logs] - This syntax would attempt to monitor all directories under /apache/ that contain the word logs, which is not what the question is asking. It is incorrect for the paths given in the question.

Option B: [monitor:///apache/foo/logs, /apache/bar/logs, /apache/bar/1/logs] - This syntax correctly lists the specific paths /apache/foo/logs, /apache/bar/logs, and /apache/bar/1/logs separately. This is the correct answer as it precisely matches the paths given in the question.

Option C: [monitor:///apache/.../logs] - The triple dots syntax (...) is used to match any subdirectories under /apache/. This would monitor all logs directories within any subdirectory structure under /apache/, which again, does not specifically match the paths given in the question.

Option D: [monitor:///apache/foo/logs, /apache/bar/logs, and /apache/bar/1/logs] - This syntax includes the word "and", which is not valid in the Splunk monitor stanza. The syntax should list the paths separated by commas, without additional words.

Thus, Option B is the correct syntax to monitor the specified paths in Splunk.

For additional reference, you can check the official Splunk documentation on monitoring inputs which provides guidelines on how to configure monitoring of files and directories.

Explanation: Placing configuration overrides in the local folder within a custom app allows for easy maintenance and ensures that these overrides are preserved during upgrades, as files in default are overwritten. [Reference: Splunk Docs on configuration file precedence]

The correct monitor statement to retrieve only files that start with "access" in the directory /opt/log/www2/ is [monitor:///opt/log/www2/access*]. This configuration specifically targets files that begin with the name "access" and will match any such files within that directory, such as "access.log".

Splunk Documentation Reference: Monitor files and directories

Explanation: A heavy forwarder is appropriate in this scenario because it can perform additional data parsing, filtering, and routing before forwarding data to Splunk Cloud. This is particularly useful for data that requires preprocessing or cannot be sent directly due to security policies. [Reference: Splunk Docs on forwarder types and capabilities]