SPLK-1005 Practice Questions

In Splunk data ingestion, the [monitor://<path>] stanza in inputs.conf defines the file or directory to be indexed. To meet the specific requirement of retrieving only files starting with "access" within the /opt/log/www2/ directory, the path must include the specific string pattern combined with a wildcard. The stanza [monitor:///opt/log/www2/access*] tells Splunk to look in that specific directory and ingest any file whose name begins with "access" (e.g., access.log), effectively excluding secure.log or any other file not matching that pattern.

A. [monitor:///opt/lug/.../access] This option contains a typo in the path (/opt/lug instead of /opt/log). Additionally, the ... syntax implies a recursive search which is unnecessary and potentially incorrect for the specific target file structure shown.

C. [monitor:///opt/log/www2/] This stanza monitors the entire directory. It would ingest all files located in /opt/log/www2/, including secure.log, violating the requirement to retrieve only files starting with "access".

D. [monitor:///opt/log/.../] The ... wildcard instructs Splunk to recursively monitor /opt/log and all its subdirectories. This is too broad and would ingest all files in the tree (including secure.log), failing the specific filter requirement.

Splunk Enterprise Admin Manual, "Monitor files and directories with inputs.conf"

Reference: This section details how to specify paths in the monitor stanza. It explicitly states, "You can use wildcards in the file path to specify which files to monitor," confirming that appending access* to the path restricts monitoring to files matching that pattern.

Source: Splunk Documentation, "Getting Data In > Monitor files and directories".

Splunk Enterprise inputs.conf Specification

Reference: The specification for [monitor://] explains how standard shell wildcards (*) and recursive wildcards (...) function within the stanza header to define the scope of input.

Source: Splunk Documentation, "Admin Manual > Configuration file reference > inputs.conf".

The Splunk Deployment Server acts as the central, authoritative source for configurations (apps). When a deployment client (forwarder) "phones home," it sends a list of its apps and their corresponding checksums. The Deployment Server compares these checksums against its own master copies. If a checksum for a specific app does not match, the server identifies the client's version as incorrect or outdated. Consequently, the server sends the entire, correct app bundle to the client. The client then replaces its local version with the newly downloaded one, ensuring configuration consistency across all managed instances.

B. Checksum values are cryptographic hashes used for integrity checks, not for version comparison based on magnitude (greater/lesser).

C. The deployment server process is designed for consistency and replaces the entire app; it does not perform a file-level merge of configurations.

D. The update process is automated to manage numerous clients efficiently; requiring manual administrator intervention for each mismatch would defeat its purpose.

1. Splunk Documentation, Updating Splunk Enterprise Instances, Version 9.2.1, "How deployment works".

The documentation states: "The client sends the server information about its current state, including the checksum for each app that it got from the server. The server compares the client's app checksums against its own. If any checksums do not match, the server sends the new content to the client." This confirms the replacement behavior.

2. Splunk Documentation, Administering Splunk Enterprise, Version 9.2.1, "About deployment server and forwarder management".

This section describes the Deployment Server as the tool to "distribute configurations, apps, and content" to other Splunk instances. The mechanism described is a push/pull of entire application bundles to ensure uniformity, not merging or manual intervention.

The props.conf file is fundamental to Splunk's data processing pipeline and is unique among the options as it controls both index-time and search-time operations. At index-time, it dictates how raw data is parsed into events, managing settings like line breaking (LINEBREAKER), timestamp extraction (TIMEFORMAT), and character set encoding (CHARSET). At search-time, it enriches the data by defining field extractions (EXTRACT-), automatic lookups (LOOKUP-), and calculated fields (EVAL-). This dual role makes it a critical file for shaping how data is both indexed and interpreted during searches.

A. inputs.conf: This file is used almost exclusively for index-time configurations to specify data sources and initial metadata like sourcetype and index.

C. macros.conf: This file defines reusable search macros, which are expanded into SPL strings and are therefore exclusively a search-time configuration.

D. savesearch.conf: This file stores saved searches, reports, and alerts. These are all objects that are executed at search-time.

---

1. Splunk Enterprise Documentation, props.conf: The introductory section of the props.conf specification file explicitly states its dual purpose: "Use this file to set up or override data input settings, such as sourcetype, character set encoding, time stamp recognition, and event line-breaking rules. You can also use this file to configure search-time field extractions..." This document then details numerous attributes, classifying them for index-time or search-time use.

Source: Splunk Enterprise Documentation, props.conf specification file. See the "File contents" section.

2. Splunk Enterprise Documentation, Getting Data In Manual: This manual describes the data pipeline. In the section "Configure event processing," it details how props.conf is used during the parsing phase (index-time) to handle line breaking and timestamp recognition.

Source: Splunk Enterprise Documentation, Getting Data In, "Configure event processing," Section: "The parsing phase".

3. Splunk Enterprise Documentation, Knowledge Manager Manual: This manual explains how to create and manage knowledge objects. In the chapter on field extractions, it details how to configure search-time field extractions using EXTRACT and REPORT stanzas within props.conf.

Source: Splunk Enterprise Documentation, Knowledge Manager Manual, "Create and maintain search-time field extractions through configuration files," Section: "Use props.conf to create a search-time field extraction".

Splunk Enterprise is configured to execute scripts from specific, predefined directories to ensure security and proper functionality. The two primary, officially documented locations are $SPLUNKHOME/bin/scripts for global scripts and $SPLUNKHOME/etc/apps//bin for application-specific scripts. These paths are used for functionalities like scripted inputs, alert actions, and custom search commands. The path SPLUNKHOME/etc/scripts/local is not a standard directory that Splunk monitors for executable scripts. The etc directory is reserved for configuration files, lookups, and application structures, and does not natively contain a scripts subdirectory for execution purposes.

A. SPLUNKHOME/etc/system/bin

This is not a standard location for user-defined scripts like scripted inputs or alerts. Splunk does not look in this directory by default for script execution.

B. SPLUNKHOME/etc/apps//bin

This is a correct and standard path. It is the designated location for scripts that are part of a specific Splunk application or add-on.

D. SPLUNKHOME/bin/scripts

This is a correct and standard path. It serves as the global directory for scripts that are not associated with any particular application.

1. Splunk Enterprise Documentation, Admin Manual, "Create a scripted input in Splunk Web".

Reference: In the "Prerequisites" section, the documentation explicitly states: "Place your script in an appropriate directory. Scripts can be located in $SPLUNKHOME/etc/apps//bin or $SPLUNKHOME/bin/scripts." This confirms that options B and D are valid paths, and by omission, that other paths are not standard.

2. Splunk Enterprise Documentation, Alerting Manual, "Set up a script for an alert action".

Reference: Under the "Create a script" section, step 1 directs the user: "Save the script file to either $SPLUNKHOME/bin/scripts or $SPLUNKHOME/etc/apps//bin." This further validates that B and D are the correct locations for alert action scripts.

3. Splunk Enterprise Documentation, Search Manual, "Make your script available to Splunk Search".

Reference: This section on creating custom search commands specifies: "The script must be in $SPLUNKHOME/etc/apps//bin." This confirms option B is a valid path for this specific script type.

The regex replacement processor runs in the parsing pipeline. During the data ingestion process, the parsing pipeline is responsible for breaking the data stream into individual events, identifying timestamps, and applying data transformations. These transformations, which include regex replacements defined in transforms.conf and invoked by props.conf, modify the raw event data before it is passed to the indexing pipeline to be written to disk. This ensures that data is structured and cleaned according to specified rules at index-time.

A. Merging pipeline: This is part of the search pipeline, which merges results from index buckets during a search; it does not process raw incoming data.

B. Typing pipeline: This is also part of the search pipeline, responsible for event typing and search-time field extraction, not index-time data transformation.

C. Index pipeline: This pipeline takes the processed events from the parsing pipeline and writes them to the on-disk indexes; transformations have already occurred.

1. Splunk Enterprise Documentation, Getting Data In manual: "Overview of the Splunk Enterprise data pipeline". This document outlines the stages of data processing. It states, "During parsing, Splunk Enterprise breaks the data into events... It also applies transformations to the data." This explicitly places transformations within the parsing stage.

2. Splunk Enterprise Documentation, Knowledge Manager Manual: "transforms.conf". The REGEX attribute in a transforms.conf stanza is used to define a regular expression for matching and replacement. These transforms are applied at index time during the parsing phase.

3. Splunk Enterprise Documentation, Knowledge Manager Manual: "props.conf". The TRANSFORMS- attribute is used to specify which transformations (defined in transforms.conf) to apply to a given sourcetype. The documentation confirms this is an index-time operation that occurs during the parsing stage of the data pipeline.

The default port for sending data to Splunk Cloud Platform via the HTTP Event Collector (HEC) is 443. Splunk Cloud utilizes this standard HTTPS port to ensure all data transmission is encrypted and secure. Using port 443 also simplifies network and firewall configurations for customers connecting to the cloud service, as it is a commonly allowed port for outbound web traffic. While Splunk Enterprise uses a different default port (8088), the cloud platform standardizes on 443 for HEC.

B. 8088: This is the default HEC port for Splunk Enterprise (on-premises) deployments, not for the Splunk Cloud Platform.

C. 9997: This is the default port for receiving data from Splunk forwarders using the Splunk-to-Splunk (S2S) protocol.

D. 8000: This is the default port for accessing the Splunk Web user interface, not for data ingestion via HEC.

1. Splunk Documentation, Getting Data In manual, "Set up and use HTTP Event Collector in Splunk Web". In the section "Enable HEC," the documentation explicitly states: "For Splunk Cloud Platform, HEC is enabled by default... The default port for HEC is 443."

2. Splunk Documentation, Getting Data In manual, "About HTTP Event Collector". Under the "How HEC works" section, it clarifies the distinction: "In Splunk Cloud Platform, HEC runs on the cluster's inputs and processing tier and listens for HEC requests on port 443."

3. Splunk Documentation, Admin Manual, "Enable and configure HTTP Event Collector". This document confirms the default for on-premises deployments, helping to differentiate from Splunk Cloud: "By default, the Splunk software enables HEC on port 8088."

The valid settings for a [monitor://] stanza in inputs.conf include standard metadata overrides such as host, index, and sourcetype. The setting _TCP_Routing is a valid (though advanced) attribute used to route data from a specific input to a specific target group defined in outputs.conf (e.g., to send specific logs to a different indexer cluster). host_regex and host_segment are both valid attributes used to dynamically extract the host value from the file path or content. While host_regex and host_segment are typically not used simultaneously (as they are conflicting methods for host extraction), they are both individually valid configuration keys available to the monitor input.

Option A: is incorrect because source_length is not a valid configuration attribute for monitor inputs in inputs.conf.

Option C: is incorrect because directory is not a valid key; the directory path is defined in the stanza header (e.g., [monitor:///var/log]), not as a key-value pair.

Option D: is incorrect because _UDP_Routing is not a supported attribute for routing data to output groups; the reserved key for directing data to specific output groups is _TCP_Routing, regardless of the underlying network protocol.

Splunk Inc., "inputs.conf," Splunk Enterprise Admin Manual, [Online]. Available: https://docs.splunk.com/Documentation/Splunk/latest/Admin/Inputsconf. (See sections on [monitor://], host_segment, host_regex, and _TCP_Routing).

Splunk Inc., "Route and filter data," Forwarding Data, [Online]. Available: https://docs.splunk.com/Documentation/Splunk/latest/Forwarding/Routeandfilterdatad. (Details the use of _TCP_Routing in inputs.conf).

The most reliable and scalable method for collecting network data, such as syslog, is to use a dedicated syslog server (e.g., syslog-ng, rsyslog). This server listens for the TCP/UDP feeds and writes the data to log files. A Splunk Universal Forwarder is then installed on this syslog server to monitor these files and securely forward the data to Splunk Cloud. This architecture decouples data collection from forwarding, providing buffering and preventing data loss if the forwarding agent is temporarily unavailable. It is the standard best practice recommended by Splunk for production environments.

A. Using a Heavy Forwarder directly for collection is less resilient than a dedicated syslog server and is not the primary recommended method.

C. A Universal Forwarder can listen on a port, but it's not recommended for production syslog due to potential data loss (especially with UDP).

D. This data flow is architecturally incorrect; the Heavy Forwarder's role (if used for parsing) should be earlier in the data pipeline.

---

1. Splunk Enterprise Documentation, Getting Data In Manual, "Get data from TCP and UDP ports": In the section "Best practices for configuring syslog input," the documentation explicitly states: "For syslog data in a production environment, Splunk recommends that you configure a separate syslog server to receive the data, and then use a universal forwarder to read the syslog data from files on that server. This method is more robust and scalable than receiving syslog directly."

2. Splunk Cloud Platform Documentation, Getting Data In Manual, "Get data from TCP and UDP ports on a universal forwarder": This section reinforces the best practice, stating, "For production environments, Splunk recommends that you do not configure a universal forwarder to receive data directly over TCP or UDP. Instead, configure a syslog server to receive the data and write it to a file. Then, configure the universal forwarder to monitor the file."

3. Splunk Validated Architectures, "Data Collection for Splunk Enterprise": This guide details reference architectures. In the section on "Network and Syslog Data," the recommended architecture diagram shows network devices sending data to a dedicated syslog server tier, with Universal Forwarders installed on that tier to collect and forward the data. This confirms the pattern of Syslog Server > Universal Forwarder.

A deployment app must be recognizable to Splunk Enterprise when it is placed in $SPLUNKHOME/etc/deployment-apps. Splunk documentation states that the only mandatory elements are:

1. a default (or local) sub-directory that contains an app.conf file with an [install] stanza; and

2. (if the app will include knowledge objects or local/ content) a metadata folder containing a .meta file.

Configuration files such as props.conf are optional and are included only when the app needs to perform data parsing tasks. Therefore props.conf is not required for every deployment app.

A. app.conf – Explicitly required; identifies the directory to Splunk and enables the app.

B. local.meta – Required whenever the app ships knowledge objects or any files in local/.

C. metadata folder – Needed to hold .meta files that control permissions and export of objects.

1. Splunk Enterprise Admin Manual v9.0, “Manage deployment apps with deployment server – Prepare deployment apps”, para. 2-3 (PDF pp. 637-638).

2. Splunk Enterprise Developing Apps Manual v9.0, “app.conf spec”, section “Required settings”, para. 1 (PDF p. 47).

3. Splunk Enterprise Admin Manual v9.0, “Knowledge object permissions in apps”, para. 1-2 (PDF p. 545) – explains necessity of .meta in metadata/.

The SEDCMD configuration is used to modify raw event data at index time. The question requires masking data before it is sent to Splunk Cloud. This necessitates a component that can parse and modify data on the customer's premises. A Universal Forwarder is lightweight and does not parse data; it forwards raw data as-is. A Heavy Forwarder, however, is a full Splunk Enterprise instance that can perform parsing, filtering, and data modification. Therefore, SEDCMD must be configured in props.conf on a Heavy Forwarder to mask the data before it is transmitted to Splunk Cloud.

A. props. conf on a Splunk Cloud search head,

This is incorrect because the configuration would be applied after the data is already in Splunk Cloud, and SEDCMD is an index-time, not a search-time, setting.

C. transforms, cent on a Splunk Cloud indexer.

This is incorrect as customers do not have file-level access to Splunk Cloud indexers. Furthermore, SEDCMD is a setting within props.conf, not transforms.conf.

D. props. conf- on a Universal Forwarder.

This is incorrect because Universal Forwarders do not perform data parsing or modification; they are designed to forward raw data with minimal processing overhead and cannot use SEDCMD.

1. Splunk Enterprise Documentation, Forwarding Data Manual: In the section "Types of forwarders," it is specified that a heavy forwarder can "parse data before forwarding it," which is a prerequisite for using SEDCMD. In contrast, a universal forwarder "does not parse data." This establishes the Heavy Forwarder as the correct component for this task. (See "Compare forwarder types" in the Forwarding Data manual).

2. Splunk Enterprise Documentation, Getting Data In Manual: The section "Anonymize data" explicitly details the use of SEDCMD for data masking. It states, "You can use SEDCMD in props.conf to run a sed script on your data... Splunk software runs the script on the data before it indexes it." This confirms SEDCMD is the correct tool and props.conf is the correct file.

3. Splunk Cloud Platform Documentation, Getting Data into Splunk Cloud Platform Manual: This manual outlines the data ingestion architecture for Splunk Cloud, emphasizing the role of forwarders (Universal or Heavy) as the primary method for sending data. It clarifies that data processing, such as masking, must occur on the customer-managed forwarder tier before data is sent to the cloud platform. (See "Forward data to Splunk Cloud Platform").