Practice Free SPLK-2003 Exam Online Questions
Question #11
Which of the following actions will store a compressed, secure version of an email attachment with suspected malware for future analysis?
- A . Copy/paste the attachment into a note.
- B . Add a link to the file in a new artifact.
- C . Use the Files tab on the Investigation page to upload the attachment.
- D . Use the Upload action of the Secure Store app to store the file in the database.
Correct Answer: D
D
Explanation:
To securely store a compressed version of an email attachment suspected of containing malware for future analysis, the most effective approach within Splunk SOAR is to use the Upload action of the Secure Store app. This app is specifically designed to handle sensitive or potentially dangerous files by securely storing them within the SOAR database, allowing for controlled access and analysis at a later time. This method ensures that the file is not only safely contained but also available for future forensic or investigative purposes without risking exposure to the malware.
Options A, B, and C do not provide the same level of security and functionality for handling suspected malware files, making option D the most appropriate choice.
Secure Store app is a SOAR app that allows you to store files securely in the SOAR database. The Secure Store app provides two actions: Upload and Download. The Upload action takes a file as an input and stores it in the SOAR database in a compressed and encrypted format. The Download action takes a file ID as an input and retrieves the file from the SOAR database and decrypts it. The Secure Store app can be used to store files that contain sensitive or malicious data, such as email attachments with suspected malware, for future analysis. Therefore, option D is the correct answer, as it states the action that will store a compressed, secure version of an email attachment with suspected malware for future analysis.
Option A is incorrect, because copying and pasting the attachment into a note will not store the file securely, but rather expose the file content to anyone who can view the note.
Option B is incorrect, because adding a link to the file in a new artifact will not store the file securely, but rather create a reference to the file location, which may not be accessible or reliable.
Option C is incorrect, because using the Files tab on the Investigation page to upload the attachment will not store the file securely, but rather store the file in the SOAR file system, which may not be encrypted or compressed.
D
Explanation:
To securely store a compressed version of an email attachment suspected of containing malware for future analysis, the most effective approach within Splunk SOAR is to use the Upload action of the Secure Store app. This app is specifically designed to handle sensitive or potentially dangerous files by securely storing them within the SOAR database, allowing for controlled access and analysis at a later time. This method ensures that the file is not only safely contained but also available for future forensic or investigative purposes without risking exposure to the malware.
Options A, B, and C do not provide the same level of security and functionality for handling suspected malware files, making option D the most appropriate choice.
Secure Store app is a SOAR app that allows you to store files securely in the SOAR database. The Secure Store app provides two actions: Upload and Download. The Upload action takes a file as an input and stores it in the SOAR database in a compressed and encrypted format. The Download action takes a file ID as an input and retrieves the file from the SOAR database and decrypts it. The Secure Store app can be used to store files that contain sensitive or malicious data, such as email attachments with suspected malware, for future analysis. Therefore, option D is the correct answer, as it states the action that will store a compressed, secure version of an email attachment with suspected malware for future analysis.
Option A is incorrect, because copying and pasting the attachment into a note will not store the file securely, but rather expose the file content to anyone who can view the note.
Option B is incorrect, because adding a link to the file in a new artifact will not store the file securely, but rather create a reference to the file location, which may not be accessible or reliable.
Option C is incorrect, because using the Files tab on the Investigation page to upload the attachment will not store the file securely, but rather store the file in the SOAR file system, which may not be encrypted or compressed.
Question #12
Where in SOAR can a user view the JSON data for a container?
- A . In the analyst queue.
- B . On the Investigation page.
- C . In the data ingestion display.
- D . In the audit log.
Correct Answer: B
B
Explanation:
In Splunk SOAR, the Investigation page is where users can delve into the details of containers, artifacts, and actions. It provides a comprehensive view of the incident or event under investigation, including the JSON data associated with containers. This JSON data represents the structured information about the container, including its attributes, artifacts, and actions taken within the playbook.
Options A, C, and D do not typically provide a direct view of the container’s JSON data, making option B the correct answer for where a user can view this information within SOAR.
A container is the top-level data structure that SOAR playbook APIs operate on. Every container is a structured JSON object which can nest more arbitrary JSON objects, that represent artifacts. A container is the top-level object against which automation is run. To view the JSON data for a container, you need to navigate to the Investigation page, which shows the details of a container, such as its name, label, owner, status, severity, and artifacts. On the Investigation page, you can click on the JSON tab, which displays the JSON representation of the container and its artifacts. Therefore, option B is the correct answer, as it states where in SOAR a user can view the JSON data for a container.
Option A is incorrect, because the analyst queue is not where a user can view the JSON data for a container, but rather where a user can view the list of containers assigned to them or their team.
Option C is incorrect, because the data ingestion display is not where a user can view the JSON data for a container, but rather where a user can view the status and configuration of the data sources that ingest data into SOAR.
Option D is incorrect, because the audit log is not where a user can view the JSON data for a container, but rather where a user can view the history of actions performed on the SOAR system, such as creating, updating, or deleting objects.
1: Understanding containers in Splunk SOAR (Cloud)
B
Explanation:
In Splunk SOAR, the Investigation page is where users can delve into the details of containers, artifacts, and actions. It provides a comprehensive view of the incident or event under investigation, including the JSON data associated with containers. This JSON data represents the structured information about the container, including its attributes, artifacts, and actions taken within the playbook.
Options A, C, and D do not typically provide a direct view of the container’s JSON data, making option B the correct answer for where a user can view this information within SOAR.
A container is the top-level data structure that SOAR playbook APIs operate on. Every container is a structured JSON object which can nest more arbitrary JSON objects, that represent artifacts. A container is the top-level object against which automation is run. To view the JSON data for a container, you need to navigate to the Investigation page, which shows the details of a container, such as its name, label, owner, status, severity, and artifacts. On the Investigation page, you can click on the JSON tab, which displays the JSON representation of the container and its artifacts. Therefore, option B is the correct answer, as it states where in SOAR a user can view the JSON data for a container.
Option A is incorrect, because the analyst queue is not where a user can view the JSON data for a container, but rather where a user can view the list of containers assigned to them or their team.
Option C is incorrect, because the data ingestion display is not where a user can view the JSON data for a container, but rather where a user can view the status and configuration of the data sources that ingest data into SOAR.
Option D is incorrect, because the audit log is not where a user can view the JSON data for a container, but rather where a user can view the history of actions performed on the SOAR system, such as creating, updating, or deleting objects.
1: Understanding containers in Splunk SOAR (Cloud)
Question #13
What is enabled if the Logging option for a playbook’s settings is enabled?
- A . More detailed logging information Is available m the Investigation page.
- B . All modifications to the playbook will be written to the audit log.
- C . More detailed information is available in the debug window.
- D . The playbook will write detailed execution information into the spawn.log.
Correct Answer: A
A
Explanation:
In Splunk SOAR (formerly known as Phantom), enabling the Logging option for a playbook’s settings primarily affects how logging information is displayed on the Investigation page. When this option is enabled, more detailed logging information is made available on the Investigation page, which can be crucial for troubleshooting and understanding the execution flow of the playbook. This detailed information can include execution steps, actions taken, and conditional logic paths followed during the playbook run.
It’s important to note that enabling logging does not affect the audit logs or the debug window directly, nor does it write execution details to the spawn.log. Instead, it enhances the visibility and granularity of logs displayed on the specific Investigation page related to the playbook’s execution.
Reference: Splunk Documentation and SOAR User Guides typically outline the impacts of enabling various
settings within the playbook configurations, explaining how these settings affect the operation and logging within the system. For specific references, consulting the latest Splunk SOAR documentation would provide the most accurate and detailed guidance.
Enabling the Logging option for a playbook’s settings in Splunk SOAR indeed affects the level of detail provided on the Investigation page.
Here’s a comprehensive explanation of its impact:
Investigation Page Logging:
The Investigation page serves as a centralized location for reviewing all activities related to an incident or event within Splunk SOAR.
When the Logging option is enabled, it enhances the level of detail available on this page, providing a granular view of the playbook’s execution.
This includes detailed information about each action’s execution, such as parameters used, results obtained, and any conditional logic that was evaluated.
Benefits of Detailed Logging:
Troubleshooting: It becomes easier to diagnose issues within a playbook when you can see a detailed log of its execution.
Incident Analysis: Analysts can better understand the sequence of events and the decisions made by the playbook during an incident.
Playbook Optimization: Developers can use the detailed logs to refine and improve the playbook’s logic and performance.
Non-Impacted Areas:
The audit log, which tracks changes to the playbook itself, is not affected by the Logging option.
The debug window, used for real-time debugging during playbook development, also remains unaffected.
The spawn.log file, which contains internal operational logs for the Splunk SOAR platform, does not receive detailed execution information from playbooks.
Best Practices:
Enable detailed logging during the development and testing phases of a playbook to ensure thorough analysis and debugging.
Consider the potential impact on storage and performance when enabling detailed logging in a
production environment.
Reference: For the most accurate and up-to-date guidance on playbook settings and their effects, I recommend consulting the latest Splunk SOAR documentation and user guides. These resources provide in-depth information on configuring playbooks and understanding the implications of various settings within the Splunk SOAR platform.
In summary, the Logging option is a powerful feature that enhances the visibility of playbook operations on the Investigation page, aiding in incident analysis and ensuring that playbooks are functioning correctly. It is an essential tool for security teams to effectively manage and respond to incidents within their environment.
A
Explanation:
In Splunk SOAR (formerly known as Phantom), enabling the Logging option for a playbook’s settings primarily affects how logging information is displayed on the Investigation page. When this option is enabled, more detailed logging information is made available on the Investigation page, which can be crucial for troubleshooting and understanding the execution flow of the playbook. This detailed information can include execution steps, actions taken, and conditional logic paths followed during the playbook run.
It’s important to note that enabling logging does not affect the audit logs or the debug window directly, nor does it write execution details to the spawn.log. Instead, it enhances the visibility and granularity of logs displayed on the specific Investigation page related to the playbook’s execution.
Reference: Splunk Documentation and SOAR User Guides typically outline the impacts of enabling various
settings within the playbook configurations, explaining how these settings affect the operation and logging within the system. For specific references, consulting the latest Splunk SOAR documentation would provide the most accurate and detailed guidance.
Enabling the Logging option for a playbook’s settings in Splunk SOAR indeed affects the level of detail provided on the Investigation page.
Here’s a comprehensive explanation of its impact:
Investigation Page Logging:
The Investigation page serves as a centralized location for reviewing all activities related to an incident or event within Splunk SOAR.
When the Logging option is enabled, it enhances the level of detail available on this page, providing a granular view of the playbook’s execution.
This includes detailed information about each action’s execution, such as parameters used, results obtained, and any conditional logic that was evaluated.
Benefits of Detailed Logging:
Troubleshooting: It becomes easier to diagnose issues within a playbook when you can see a detailed log of its execution.
Incident Analysis: Analysts can better understand the sequence of events and the decisions made by the playbook during an incident.
Playbook Optimization: Developers can use the detailed logs to refine and improve the playbook’s logic and performance.
Non-Impacted Areas:
The audit log, which tracks changes to the playbook itself, is not affected by the Logging option.
The debug window, used for real-time debugging during playbook development, also remains unaffected.
The spawn.log file, which contains internal operational logs for the Splunk SOAR platform, does not receive detailed execution information from playbooks.
Best Practices:
Enable detailed logging during the development and testing phases of a playbook to ensure thorough analysis and debugging.
Consider the potential impact on storage and performance when enabling detailed logging in a
production environment.
Reference: For the most accurate and up-to-date guidance on playbook settings and their effects, I recommend consulting the latest Splunk SOAR documentation and user guides. These resources provide in-depth information on configuring playbooks and understanding the implications of various settings within the Splunk SOAR platform.
In summary, the Logging option is a powerful feature that enhances the visibility of playbook operations on the Investigation page, aiding in incident analysis and ensuring that playbooks are functioning correctly. It is an essential tool for security teams to effectively manage and respond to incidents within their environment.
Question #14
Which of the following describes the use of labels in Phantom?
- A . Labels determine the service level agreement (SLA) for a container.
- B . Labels control the default seventy, ownership, and sensitivity for the container.
- C . Labels control which apps are allowed to execute actions on the container.
- D . Labels determine which playbook(s) are executed when a container is created.
Correct Answer: D
D
Explanation:
In Splunk Phantom, labels are used to categorize containers and trigger specific automated responses. When a container is created, labels can be assigned to it based on the nature of the event, type of incident, or other criteria. These labels are then matched against playbooks, which have label conditions defined within them. When the conditions are met, the corresponding playbooks are automatically executed. Labels do not directly control service level agreements, default severity, ownership, sensitivity, or app execution permissions.
D
Explanation:
In Splunk Phantom, labels are used to categorize containers and trigger specific automated responses. When a container is created, labels can be assigned to it based on the nature of the event, type of incident, or other criteria. These labels are then matched against playbooks, which have label conditions defined within them. When the conditions are met, the corresponding playbooks are automatically executed. Labels do not directly control service level agreements, default severity, ownership, sensitivity, or app execution permissions.
Question #15
What metrics can be seen from the System Health Display? (select all that apply)
- A . Playbook Usage
- B . Memory Usage
- C . Disk Usage
- D . Load Average
Correct Answer: BCD
BCD
Explanation:
System Health Display is a dashboard that shows the status and performance of the SOAR processes and components, such as the automation service, the playbook daemon, the DECIDED process, and the REST API.
Some of the metrics that can be seen from the System Health Display are:
• Memory Usage: The percentage of memory used by the system and the processes.
• Disk Usage: The percentage of disk space used by the system and the processes.
• Load Average: The average number of processes in the run queue or waiting for disk I/O over a period of time.
Therefore, options B, C, and D are the correct answers, as they are the metrics that can be seen from the System Health Display.
Option A is incorrect, because Playbook Usage is not a metric that can be seen from the System Health Display, but rather a metric that can be seen from the Playbook Usage dashboard, which shows the number of playbooks and actions run over a period of time.
1: Web search results from search_web(query="Splunk SOAR Automation Developer System Health Display")
The System Health Display in Splunk SOAR provides several metrics to help monitor and manage the health of the system.
These typically include:
• B: Memory Usage – This metric shows the amount of memory being used by the SOAR platform, which is important for ensuring that the system does not exceed available resources.
• C: Disk Usage – This metric indicates the amount of storage space being utilized, which is crucial for maintaining adequate storage resources and for planning capacity.
• D: Load Average – This metric provides an indication of the overall load on the system over a period of time, which helps in understanding the system’s performance and in identifying potential bottlenecks or issues.
Playbook Usage is generally not a metric displayed on the System Health page; instead, it’s more related to the usage analytics of playbooks rather than system health metrics.
BCD
Explanation:
System Health Display is a dashboard that shows the status and performance of the SOAR processes and components, such as the automation service, the playbook daemon, the DECIDED process, and the REST API.
Some of the metrics that can be seen from the System Health Display are:
• Memory Usage: The percentage of memory used by the system and the processes.
• Disk Usage: The percentage of disk space used by the system and the processes.
• Load Average: The average number of processes in the run queue or waiting for disk I/O over a period of time.
Therefore, options B, C, and D are the correct answers, as they are the metrics that can be seen from the System Health Display.
Option A is incorrect, because Playbook Usage is not a metric that can be seen from the System Health Display, but rather a metric that can be seen from the Playbook Usage dashboard, which shows the number of playbooks and actions run over a period of time.
1: Web search results from search_web(query="Splunk SOAR Automation Developer System Health Display")
The System Health Display in Splunk SOAR provides several metrics to help monitor and manage the health of the system.
These typically include:
• B: Memory Usage – This metric shows the amount of memory being used by the SOAR platform, which is important for ensuring that the system does not exceed available resources.
• C: Disk Usage – This metric indicates the amount of storage space being utilized, which is crucial for maintaining adequate storage resources and for planning capacity.
• D: Load Average – This metric provides an indication of the overall load on the system over a period of time, which helps in understanding the system’s performance and in identifying potential bottlenecks or issues.
Playbook Usage is generally not a metric displayed on the System Health page; instead, it’s more related to the usage analytics of playbooks rather than system health metrics.
Question #16
What are the components of the I2A2 design methodology?
- A . Inputs, Interactions, Actions, Apps
- B . Inputs, Interactions, Actions, Artifacts
- C . Inputs, Interactions, Apps, Artifacts
- D . Inputs, Interactions, Actions, Assets
Correct Answer: B
B
Explanation:
I2A2 design methodology is a framework for designing playbooks that consists of four components:
• Inputs: The data that is required for the playbook to run, such as artifacts, parameters, or custom fields.
• Interactions: The blocks that allow the playbook to communicate with users or other systems, such as prompts, comments, or emails.
• Actions: The blocks that execute the core logic of the playbook, such as app actions, filters, decisions, or utilities.
• Artifacts: The data that is generated or modified by the playbook, such as new artifacts, container fields, or notes.
The I2A2 design methodology helps you to plan, structure, and test your playbooks in a modular and efficient way. Therefore, option B is the correct answer, as it lists the correct components of the I2A2 design methodology.
Option A is incorrect, because apps are not a component of the I2A2 design methodology, but a source of actions that can be used in the playbook.
Option C is incorrect, for the same reason as option A.
Option D is incorrect, because assets are not a component of the I2A2 design methodology, but a configuration of app credentials that can be used in the playbook.
1: Use a playbook design methodology in Administer Splunk SOAR (Cloud)
The I2A2 design methodology is an approach used in Splunk SOAR to structure and design playbooks. The acronym stands for Inputs, Interactions, Actions, and Artifacts. This methodology guides the creation of playbooks by focusing on these four key components, ensuring that all necessary aspects of an automated response are considered and effectively implemented within the platform.
B
Explanation:
I2A2 design methodology is a framework for designing playbooks that consists of four components:
• Inputs: The data that is required for the playbook to run, such as artifacts, parameters, or custom fields.
• Interactions: The blocks that allow the playbook to communicate with users or other systems, such as prompts, comments, or emails.
• Actions: The blocks that execute the core logic of the playbook, such as app actions, filters, decisions, or utilities.
• Artifacts: The data that is generated or modified by the playbook, such as new artifacts, container fields, or notes.
The I2A2 design methodology helps you to plan, structure, and test your playbooks in a modular and efficient way. Therefore, option B is the correct answer, as it lists the correct components of the I2A2 design methodology.
Option A is incorrect, because apps are not a component of the I2A2 design methodology, but a source of actions that can be used in the playbook.
Option C is incorrect, for the same reason as option A.
Option D is incorrect, because assets are not a component of the I2A2 design methodology, but a configuration of app credentials that can be used in the playbook.
1: Use a playbook design methodology in Administer Splunk SOAR (Cloud)
The I2A2 design methodology is an approach used in Splunk SOAR to structure and design playbooks. The acronym stands for Inputs, Interactions, Actions, and Artifacts. This methodology guides the creation of playbooks by focusing on these four key components, ensuring that all necessary aspects of an automated response are considered and effectively implemented within the platform.
Question #17
Where can the Splunk App for SOAR Export be downloaded from?
- A . GitHub and Splunkbase.
- B . SOAR Community and GitHub.
- C . Splunkbase and SOAR Community.
- D . Splunk Answers and Splunkbase.
Correct Answer: A
A
Explanation:
The Splunk App for SOAR Export can be downloaded from both GitHub and Splunkbase. Splunkbase is the official source for Splunk apps, where users can find, try, and download apps that enhance and extend the capabilities of Splunk, including the Splunk App for SOAR Export1. GitHub is also a common platform for sharing and collaborating on code, including Splunk apps and integrations. It is important to ensure that you are downloading from the official repository or author to avoid any security risks.
Reference: Splunkbase, the official source for downloading the Splunk App for SOAR Export
A
Explanation:
The Splunk App for SOAR Export can be downloaded from both GitHub and Splunkbase. Splunkbase is the official source for Splunk apps, where users can find, try, and download apps that enhance and extend the capabilities of Splunk, including the Splunk App for SOAR Export1. GitHub is also a common platform for sharing and collaborating on code, including Splunk apps and integrations. It is important to ensure that you are downloading from the official repository or author to avoid any security risks.
Reference: Splunkbase, the official source for downloading the Splunk App for SOAR Export
Question #18
During a second test of a playbook, a user receives an error that states: ‘an empty parameters list was passed to phantom.act()."
What does this indicate?
- A . The container has artifacts not parameters.
- B . The playbook is using an incorrect container.
- C . The playbook debugger’s scope is set to new.
- D . The playbook debugger’s scope is set to all.
Correct Answer: A
A
Explanation:
The error message "an empty parameters list was passed to phantom.act()" typically indicates that the action being called by the playbook does not have the required parameters to execute. This can happen if the playbook expects certain data to be present in the container’s artifacts but finds none. Artifacts in Splunk SOAR (Phantom) are data elements associated with a container (such as an event or alert) that playbooks can act upon. If a playbook action is designed to use data from artifacts as parameters and those artifacts are missing or do not contain the expected data, the playbook cannot execute the action properly, leading to this error.
A
Explanation:
The error message "an empty parameters list was passed to phantom.act()" typically indicates that the action being called by the playbook does not have the required parameters to execute. This can happen if the playbook expects certain data to be present in the container’s artifacts but finds none. Artifacts in Splunk SOAR (Phantom) are data elements associated with a container (such as an event or alert) that playbooks can act upon. If a playbook action is designed to use data from artifacts as parameters and those artifacts are missing or do not contain the expected data, the playbook cannot execute the action properly, leading to this error.
Question #19
Seventy can be set during ingestion and later changed manually.
What other mechanism can change the severity or a container?
- A . Notes
- B . Actions
- C . Service level agreement (SLA) expiration
- D . Playbooks
Correct Answer: D
D
Explanation:
The severity of a container in Splunk Phantom can be set manually or automatically during the ingestion process. In addition to these methods, playbooks can also change the severity of a container. Playbooks are automated workflows that define a series of actions based on certain triggers and conditions. Within a playbook, actions can be defined to adjust the severity level of a container depending on the analysis of the event data, the outcome of actions taken, or other contextual factors. This dynamic adjustment allows for a more accurate and responsive incident prioritization as new information becomes available during the investigation process.
D
Explanation:
The severity of a container in Splunk Phantom can be set manually or automatically during the ingestion process. In addition to these methods, playbooks can also change the severity of a container. Playbooks are automated workflows that define a series of actions based on certain triggers and conditions. Within a playbook, actions can be defined to adjust the severity level of a container depending on the analysis of the event data, the outcome of actions taken, or other contextual factors. This dynamic adjustment allows for a more accurate and responsive incident prioritization as new information becomes available during the investigation process.
Question #20
In addition to full backups. Phantom supports what other backup type using backup?
- A . Snapshot
- B . Incremental
- C . Partial
- D . Differential
Correct Answer: B
B
Explanation:
Splunk Phantom supports incremental backups in addition to full backups. An incremental backup is a type of backup that only copies the data that has changed since the last backup (whether that was a full backup or another incremental backup). This method is more storage-efficient than a full backup because it does not repeatedly back up the same data, reducing the amount of storage required and speeding up the backup process. Differential backups, which record the changes since the last full backup, and partial backups, which allow the selection of specific data to back up, are not standard backup types offered by Splunk Phantom according to its documentation.
B
Explanation:
Splunk Phantom supports incremental backups in addition to full backups. An incremental backup is a type of backup that only copies the data that has changed since the last backup (whether that was a full backup or another incremental backup). This method is more storage-efficient than a full backup because it does not repeatedly back up the same data, reducing the amount of storage required and speeding up the backup process. Differential backups, which record the changes since the last full backup, and partial backups, which allow the selection of specific data to back up, are not standard backup types offered by Splunk Phantom according to its documentation.