Splunk SPLK-1005 Practice Test - Questions Answers

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

Reference:

Modular Inputs

Windows Data Collection

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

A Universal Forwarder (UF) can indeed be configured as an Intermediate Forwarder. This means that the UF can receive data from other forwarders and then forward that data on to indexers or Splunk Cloud, effectively acting as a relay point in the data forwarding chain.

Option A is incorrect because a Universal Forwarder does not need to contact the license master; only indexers and search heads require this.

Option B is incorrect as Universal Forwarders can connect directly to Splunk Cloud or via other forwarders.

Option D is also incorrect because the default output bandwidth limit for a UF is typically much higher than 500KBps (default is 256KBps per pipeline, but can be configured).

Splunk Documentation

Reference: Universal Forwarder

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

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

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 SHOULD_LINEMERGE setting is used in Splunk to control whether or not multiple lines of an event should be combined into a single event. This setting is configured in the props.conf file, where Splunk handles data parsing and field extraction. Setting SHOULD_LINEMERGE = true merges lines together based on specific rules.

Splunk Documentation

Reference: props.conf - SHOULD_LINEMERGE

The recommended approach to collect data from network devices is to use a Syslog server with a Universal Forwarder (UF) installed. The network devices send data to the Syslog server, which then forwards the data to Splunk Cloud using the Universal Forwarder. This method ensures reliable data ingestion and processing while maintaining flexibility in handling different types of network device data.

Splunk Documentation

Reference: Best practices for getting data in

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