Splunk SPLK-1005 Dumps

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

Explanation: In Splunk Cloud, expired events can be archived to customer-managed storage solutions, such as on-premises storage. This allows organizations to retain data beyond the standard retention period if needed. [Reference: Splunk Docs on data archiving in Splunk Cloud]

For input apps that are not permitted on Splunk Cloud, the recommended place to deploy them is on a Universal Forwarder or Heavy Forwarder. These forwarders handle data collection and preprocessing before sending the data to Splunk Cloud. This setup allows organizations to leverage apps and configurations that are not supported directly in the cloud environment.

Splunk Documentation Reference: Forwarding Data to Splunk Cloud

To view the runtime configuration instructions for a monitored file in inputs.conf on the forwarder, the correct command to use involves accessing the internal REST API that provides details on data inputs.

C. ./splunk _internal rest /services/data/inputs/monitor is the correct answer. This command uses Splunk's internal REST endpoint to retrieve information about monitored files, including their runtime configurations as defined in inputs.conf.

Splunk Documentation References:

Splunk REST API - Data Inputs

When a forwarder phones home to a Deployment Server, it compares the checksum of its apps with those on the Deployment Server. If the checksums do not match, the app on the forwarder is always deleted and re-downloaded from the Deployment Server. This ensures that the forwarder has the most current and correct version of the app as dictated by the Deployment Server.

Splunk Documentation Reference: Deployment Server Overview

In Splunk Cloud, when an app on Splunkbase indicates "Request Install," it means that the app is not available for direct self-service installation and requires intervention from Splunk Support. This could be because the app needs to undergo an additional review for compatibility with the managed cloud environment or because it requires special installation procedures.

In these cases, customers need to contact Splunk Support to request the installation of the app. Support will ensure that the app is properly vetted and compatible with Splunk Cloud before proceeding with the installation.

Splunk Cloud Reference: For further details, consult Splunk’s guidelines on requesting app installations in Splunk Cloud and the processes involved in reviewing and approving apps for use in the cloud environment.

Source:

Splunk Docs: Install apps in Splunk Cloud Platform

Splunkbase: App request procedures for Splunk Cloud

In props.conf, valid stanzas can include source types, hosts, and source specifications. The correct syntax uses colons for specific types, such as source types and hosts, but follows a particular format:

A. [sourcetype::linux_secure] is the correct answer. This is a valid stanza format for a source type in props.conf. It indicates that the following configurations apply specifically to the linux_secure source type.

B. [host=nyc25]: Incorrect, the correct format for a host-based stanza uses double colons, not an equal sign.

C. [host::nyc]:* Incorrect, wildcards are not used in this manner within props.conf.

D. [host

]:* Incorrect, the correct format requires double colons for host stanzas.

Splunk Documentation References:

props.conf Specification

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.

In Splunk Cloud, configuring indexes is one of the primary responsibilities of a Splunk Cloud administrator. This task includes setting up new indexes, managing retention policies, and configuring index settings as required by the organization's data retention and compliance policies. Other tasks like configuring deployer, cluster master, or indexers are typically handled by Splunk Enterprise administrators, not Splunk Cloud administrators.

Splunk Documentation Reference: Splunk Cloud Administrator Guide

To mask unstructured data before sending it to Splunk Cloud, the SEDCMD should be configured in the props.conf file on a Heavy Forwarder. The Heavy Forwarder is responsible for data parsing and transformation before forwarding the data to Splunk Cloud. This ensures that sensitive data is masked before it reaches the indexing stage.

Splunk Documentation Reference: Using SEDCMD to Mask Data

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

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

Intermediate Forwarders are special types of forwarders that sit between Universal Forwarders and indexers to perform additional processing tasks such as routing, filtering, or load balancing data before it reaches the indexers.

B. All Intermediate Forwarders must be Heavy Forwarders is the correct answer. Heavy Forwarders are the only type of forwarder that can perform the necessary tasks required of an Intermediate Forwarder, such as parsing data, applying transformations, and routing based on specific rules. Universal Forwarders are lightweight and cannot perform these complex tasks, thus cannot serve as Intermediate Forwarders.

Splunk Documentation References:

Intermediate Forwarders

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

The recommended method to test the onboarding of a new data source before putting it into production is to send test data to a test index. This approach allows you to validate data parsing, field extractions, and indexing behavior without affecting the production environment or data.

Splunk Documentation Reference: Onboarding New Data Sources

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.

When integrating LDAP authentication with Splunk, new user data is cached the first time a user logs in. This means that Splunk does not store LDAP usernames and passwords; instead, it relies on the LDAP server for authentication. The mapping of LDAP groups to Splunk roles must be configured manually; it does not happen automatically. Additionally, Splunk Cloud supports various LDAP servers, not just Active Directory.

Splunk Documentation Reference: LDAP Authentication

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]

In Splunk, it's considered best practice to create small, single-purpose deployment apps rather than large, multi-purpose ones. This approach ensures better manageability, easier updates, and clearer version control. Option D, which suggests creating large, multi-purpose deployment apps, is not a best practice.

Splunk Documentation Reference: Deployment Server Best Practices

The recommended approach for setting the host values based on their origin when files from multiple systems are stored on a centralized log server is to use the host_segment setting. This setting allows you to dynamically set the host value based on a specific segment of the file path, which can be particularly useful when organizing logs from different servers into directories.

Splunk Documentation Reference: Inputs.conf - host_segment

The delete command in Splunk does not remove events from disk but rather marks them as "deleted" in the index. This means the events are not accessible via searches, but they still occupy space on disk. Only users with the can_delete capability (typically admins) can use the delete command.

Splunk Documentation Reference: Delete Command

The best approach to meet the requirements of the marketing department is to create a new role that inherits the user role but with restricted access to only the marketing_data index. This setup allows users to perform searches and view dashboards while ensuring they cannot access other indexes such as those containing security or operations data.

Splunk Documentation Reference: Splunk Role-based Access Control

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

Explanation: The _internal index stores logs that are valuable for troubleshooting, including information about system operations, indexers, and search head logs. This index provides insights necessary to diagnose many common issues. [Reference: Splunk Docs on indexes]