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To prepare for the SPLK-2003 exam, candidates can take the Splunk Phantom Administration course, which provides hands-on training on the platform's features and functionality. SPLK-2003 course covers topics such as installation and configuration, playbook creation, automation and orchestration, and integration with other security tools. Additionally, candidates can also use the Splunk Phantom documentation and community resources to prepare for the exam.
The SPLK-2003 exam is intended for security professionals, system administrators, and IT professionals who work with Splunk Phantom on a regular basis. SPLK-2003 exam covers a wide range of topics, including the basics of Splunk Phantom, its architecture, installation and configuration, security and access control, automation and orchestration, and troubleshooting. SPLK-2003 exam consists of 75 multiple-choice questions and has a duration of 90 minutes.
NEW QUESTION # 23
When writing a custom function that uses regex to extract the domain name from a URL, a user wants to create a new artifact for the extracted domain. Which of the following Python API calls will create a new artifact?
- A. phantom.add_artifact ()
- B. phantom.create_artifact ()
- C. phantom. update ()
- D. phantom.new_artifact ()
Answer: B
Explanation:
In the Splunk SOAR platform, when writing a custom function in Python to handle data such as extracting a domain name from a URL, you can create a new artifact using the Python API call phantom.create_artifact().
This function allows you to specify the details of the new artifact, such as the type, CEF (Common Event Format) data, container it belongs to, and other relevant information necessary to create an artifact within the system.
NEW QUESTION # 24
How can the debug log for a playbook execution be viewed?
- A. Open the playbook in the Visual Playbook Editor, and select Debug Logs in Settings.
- B. Click Expand Scope m the debug window.
- C. In Administration > System Health > Playbook Run History, select the playbook execution entry, then select Log.
- D. On the Investigation page, select Debug Log from the playbook's action menu in the Recent Activity panel.
Answer: C
Explanation:
Explanation
The correct answer is C because the Administration > System Health > Playbook Run History page allows viewing the debug log for any playbook execution by selecting the playbook execution entry and then selecting Log. The debug log contains information such as the start and end time, the status, the input parameters, the output results, and any errors or exceptions for each block in the playbook. The answer A is incorrect because the Investigation page does not have a Debug Log option in the playbook's action menu in the Recent Activity panel. The answer B is incorrect because the Expand Scope option in the debug window does not show the debug log for a playbook execution, but the details of the current container and its artifacts.
The answer D is incorrect because the Visual Playbook Editor does not have a Debug Logs option in Settings, but a Debug Mode option that allows testing the playbook with sample data. Reference: Splunk SOAR User Guide, page 100.
NEW QUESTION # 25
When configuring a Splunk asset for Phantom to connect to a SplunkC loud instance, the user discovers that they need to be able to run two different on_poll searches. How is this possible
- A. Configure a second Splunk asset with the second query.
- B. Install a second Splunk app and configure the query in the second app.
- C. Enter the two queries in the asset as comma separated values.
- D. Configure the second query in the Phantom app for Splunk.
Answer: A
Explanation:
In scenarios where there's a need to run different on_poll searches for a Splunk Cloud instance from Splunk SOAR, configuring a second Splunk asset for the additional query is a practical solution. Splunk SOAR's architecture allows for multiple assets of the same type to be configured with distinct settings. By setting up a second Splunk asset specifically for the second on_poll search query, users can maintain separate configurations and ensure that each query is executed in its intended context without interference. This approach provides flexibility in managing different data collection or monitoring needs within the same SOAR environment.
NEW QUESTION # 26
What is the simplest way to pass data between playbooks?
- A. Artifacts
- B. File system
- C. KV Store
- D. Action results
Answer: D
Explanation:
Passing data between playbooks in Splunk Phantom is most efficiently done through action results. Playbooks are composed of actions, which are individual steps that perform operations. When an action is executed, it generates results, which can include data like IP addresses, usernames, or any other relevant information.
These results can be passed to subsequent playbooks as input, allowing for a seamless flow of information and enabling complex automation sequences. Other methods, like using the file system, artifacts, or KV Store, are less direct and can be more complex to implement for this purpose.
NEW QUESTION # 27
Which app allows a user to run Splunk queries from within Phantom?
- A. Splunk App for Phantom Reporting.
- B. The Integrated Splunk/Phantom app.
- C. Phantom App for Splunk.
- D. Splunk App for Phantom?
Answer: C
Explanation:
The Phantom App for Splunk allows a user to run Splunk queries from within Phantom. This app provides actions such as run query, ingest events, and save search, which enable the user to interact with Splunk from Phantom playbooks or the Phantom UI. The other apps are not relevant for this use case. The Splunk App for Phantom is used to send data from Splunk to Phantom. The Integrated Splunk/Phantom app is a deprecated app that was replaced by the Splunk App for Phantom. The Splunk App for Phantom Reporting is used to generate reports on Phantom activity from Splunk. The Phantom App for Splunk is the application that enables Splunk users to run Splunk queries from within the Splunk Phantom platform. This app integrates Splunk's data and search capabilities into Phantom's security automation and orchestration framework, allowing users to perform actions such as running searches, creating events, and updating records in Splunk directly from Phantom.
NEW QUESTION # 28
Which is the primary system requirement that should be increased with heavy usage of the file vault?
- A. Number of processors.
- B. Amount of storage.
- C. Amount of memory.
- D. Bandwidth of network.
Answer: B
NEW QUESTION # 29
Why is it good playbook design to create smaller and more focused playbooks? (select all that apply)
- A. To avoid duplication of code across multiple playbooks.
- B. Reduce large complex playbooks which become difficult to maintain.
- C. Reduces amount of playbook data stored in each repo.
- D. Encourages code reuse in a more compartmentalized form.
Answer: A,B,D
Explanation:
Creating smaller and more focused playbooks in Splunk SOAR is considered good design practice for several reasons:
*B: It reduces complexity, making playbooks easier to maintain. Large, complex playbooks can become unwieldy and difficult to troubleshoot or update.
*C: Encourages code reuse, as smaller playbooks can be designed to handle specific tasks that can be reused across different scenarios.
*D: Avoids duplication of code, as common functionalities can be centralized within specific playbooks, rather than having the same code replicated across multiple playbooks.
This approach has several benefits, such as:
*Reducing large complex playbooks which become difficult to maintain. Smaller playbooks are easier to read, debug, and update1.
*Encouraging code reuse in a more compartmentalized form. Smaller playbooks can be used as building blocks for multiple scenarios, reducing the need to write duplicate code12.
*Improving performance and scalability. Smaller playbooks can run faster and consume less resources than larger playbooks2.
The other options are not valid reasons for creating smaller and more focused playbooks. Reducing the amount of playbook data stored in each repo is not a significant benefit, as the playbook data is not very large compared to other types of data in Splunk SOAR. Avoiding duplication of code across multiple playbooks is a consequence of code reuse, not a separate goal.
NEW QUESTION # 30
Which of the following is a best practice for use of the global block?
- A. Execute code at the beginning of each run of the playbook.
- B. Declare outputs which will be selectable within playbook blocks.
- C. Execute custom code after each run of the playbook.
- D. Import packages which will be used within the playbook.
Answer: A
NEW QUESTION # 31
Without customizing container status within SOAR, what are the three types of status for a container?
- A. Low, Medium, High
- B. New, In Progress, Closed
- C. New, Open, Resolved
- D. Low, Medium, Critical
Answer: B
Explanation:
In Splunk SOAR, without any customization, the three default statuses for a container are New, In Progress, and Closed. These statuses are designed to reflect the lifecycle of an incident or event within the platform, from its initial detection and logging (New), through the investigation and response stages (In Progress), to its final resolution and closure (Closed). These statuses help in organizing and prioritizing incidents, tracking their progress, and ensuring a structured workflow. Options A, B, and D do not accurately represent the default container statuses within SOAR, making option C the correct answer.
containers are the top-level data structure that SOAR playbook APIs operate on. Containers can have different statuses that indicate their state and progress in the SOAR workflow. Without customizing container status within SOAR, the three types of status for a container are:
*New: The container has been created but not yet assigned or investigated.
*In Progress: The container has been assigned and is being investigated or automated.
*Closed: The container has been resolved or dismissed and no further action is required.
Therefore, option C is the correct answer, as it lists the three types of status for a container without customizing container status within SOAR. Option A is incorrect, because Resolved is not a type of status for a container without customizing container status within SOAR, but rather a custom status that can be defined by an administrator. Option B is incorrect, because Low, Medium, and High are not types of status for a container, but rather types of severity that indicate the urgency or impact of a container. Option D is incorrect, for the same reason as option B.
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NEW QUESTION # 32
Which of the following queries would return all artifacts that contain a SHA1 file hash?
- A. https://<PHANTOM_URL>/rest/artifact?_filter_cef_shal_insull=False
- B. https://<PHANTOM_URL>/rest/artifact?_filter_shal__insull=False
- C. https://<PHANTOM_URL>/rest/artifact?_filter_cef_md5_insull=false
- D. https://<PHANTOM_URL>/rest/artifact?_filter_cef_Shal_contains=""
Answer: A
Explanation:
To retrieve all artifacts containing a SHA1 file hash via the Splunk SOAR REST API, the appropriate query would filter for artifacts where the 'cef_sha1' field is not null, indicating that a SHA1 hash is present. The correct REST API call should use the filter parameter _filter_cef_shal__isnull=False (assuming 'shal' is a typo and it should be 'sha1'). This query parameter is used to filter out artifacts that do not have a SHA1 hash, thus returning only those that do.
NEW QUESTION # 33
How can a child playbook access the parent playbook's action results?
- A. When configuring the playbook block in the parent, add the desired results in the Scope parameter.
- B. Child playbooks can access parent playbook data while the parent Is still running.
- C. The parent can create an artifact with the data needed by the did.
- D. By setting scope to ALL when starting the child.
Answer: A
Explanation:
Explanation
A child playbook can access the parent playbook's action results by using the scope parameter when configuring the playbook block in the parent. The scope parameter allows the user to specify which action results from the parent playbook should be passed to the child playbook as input parameters. Child playbooks cannot access parent playbook data while the parent is still running, and setting the scope to ALL when starting the child does not affect the data access. The parent can create an artifact with the data needed by the child, but this is not the only mechanism to do so. Reference, page 17.
NEW QUESTION # 34
When assigning an input parameter to an action while building a playbook, a user notices the artifact value they are looking for does not appear in the auto-populated list.
How is it possible to enter the unlisted artifact value?
- A. Delete and recreate the artifact.
- B. Edit the artifact to enable the List as Parameter option for the CEF value.
- C. Edit the container to allow CEF parameters.
- D. Type the CEF datapath in manually.
Answer: D
Explanation:
When building a playbook in Splunk SOAR, if the desired artifact value does not appear in the auto-populated list of input parameters for an action, users have the option to manually enter the Common Event Format (CEF) datapath for that value. This allows for greater flexibility and customization in playbook design, ensuring that specific data points can be targeted even if they're not immediately visible in the interface. This manual entry of CEF datapaths allows users to directly reference the necessary data within artifacts, bypassing limitations of the auto-populated list. Options B, C, and D suggest alternative methods that are not typically used for this purpose, making option A the correct and most direct approach to entering an unlisted artifact value in a playbook action.
When assigning an input parameter to an action while building a playbook, a user can use the auto-populated list of artifact values that match the expected data type for the parameter. The auto-populated list is based on the contains parameter of the action inputs and outputs, which enables contextual actions in the SOAR user interface. However, the auto-populated list may not include all the possible artifact values that can be used as parameters, especially if the artifact values are nested or have uncommon data types. In that case, the user can type the CEF datapath in manually, using the syntax artifact.<field>.<key>, where field is the name of the artifact field, such as cef, and key is the name of the subfield within the artifact field, such as sourceAddress.
Typing the CEF datapath in manually allows the user to enter the unlisted artifact value as an input parameter to the action. Therefore, option A is the correct answer, as it states how it is possible to enter the unlisted artifact value. Option B is incorrect, because deleting and recreating the artifact is not a way to enter the unlisted artifact value, but rather a way to lose the existing artifact data. Option C is incorrect, because editing the artifact to enable the List as Parameter option for the CEF value is not a way to enter the unlisted artifact value, but rather a way to make the artifact value appear in the auto-populated list. Option D is incorrect, because editing the container to allow CEF parameters is not a way to enter the unlisted artifact value, but rather a way to modify the container properties, which are not related to the action parameters.
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NEW QUESTION # 35
Under Asset Ingestion Settings, how many labels must be applied when configuring an asset?
- A. One.
- B. Labels are not configured under Asset Ingestion Settings.
- C. Zero or more.
- D. One or more.
Answer: C
Explanation:
Under Asset Ingestion Settings in Splunk SOAR, when configuring an asset, the number of labels that must be applied can be zero or more. Labels are optional and are used to categorize data and control access. They are not a requirement under Asset Ingestion Settings, but they can be used to enhance organization and filtering if chosen.
NEW QUESTION # 36
How can the DECIDED process be restarted?
- A. On the System Health page.
- B. By restarting the playbook daemon.
- C. By restarting the automation service.
- D. In Administration > Server Settings.
Answer: C
Explanation:
DECIDED process is a core component of the SOAR automation engine that handles the execution of playbooks and actions. The DECIDED process can be restarted by restarting the automation service, which can be done from the command line using the service phantom restart command2. Restarting the automation service also restarts the playbook daemon, which is another core component of the SOAR automation engine that handles the loading and unloading of playbooks3. Therefore, option D is the correct answer, as it restarts both the DECIDED process and the playbook daemon. Option A is incorrect, because restarting the playbook daemon alone does not restart the DECIDED process. Option B is incorrect, because the System Health page does not provide an option to restart the DECIDED process or the automation service. Option C is incorrect, because the Administration > Server Settings page does not provide an option to restart the DECIDED process or the automation service.
In Splunk SOAR, if the DECIDED process, which is responsible for playbook execution, needs to be restarted, this can typically be done by restarting the automation (or phantom) service. This service manages the automation processes, including playbook execution. Restarting it can reset the DECIDED process, resolving issues related to playbook execution or process hangs.
NEW QUESTION # 37
After enabling multi-tenancy, which of the Mowing is the first configuration step?
- A. Set default tenant base address.
- B. Select the associated tenant artifacts.
- C. Configure the default tenant.
- D. Change the tenant permissions.
Answer: D
NEW QUESTION # 38
Which of the following can be done with the System Health Display?
- A. Partially rewind processes, which is useful for debugging.
- B. Create a temporary, edited version of a process and test the results.
- C. Reset DECIDED to reset playbook environments back to at-start conditions.
- D. View a single column of status for SOAR processes. For metrics, click Details.
Answer: D
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. One of the things that can be done with the System Health Display is to reset DECIDED, which is a core component of the SOAR automation engine that handles the execution of playbooks and actions. Resetting DECIDED can be useful for troubleshooting or debugging purposes, as it resets the playbook environments back to at-start conditions, meaning that any changes made by the playbooks are discarded and the playbooks are reloaded. To reset DECIDED, you need to click on the Reset DECIDED button on the System Health Display dashboard. Therefore, option D is the correct answer, as it is the only option that can be done with the System Health Display. Option A is incorrect, because creating a temporary, edited version of a process and testing the results is not something that can be done with the System Health Display, but rather with the Debugging dashboard, which allows you to modify and run a process in a sandbox environment. Option B is incorrect, because partially rewinding processes, which is useful for debugging, is not something that can be done with the System Health Display, but rather with the Rewind feature, which allows you to go back to a previous state of a process and resume the execution from there. Option C is incorrect, because viewing a single column of status for SOAR processes is not something that can be done with the System Health Display, but rather with the Status Display dashboard, which shows a simplified view of the SOAR processes and their status.
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NEW QUESTION # 39
Which of the following accurately describes the Files tab on the Investigate page?
- A. A user can upload the output from a detonate action to the the files tab for further investigation.
- B. Files tab items and artifacts are the only data sources that can populate active cases.
- C. Files tab items cannot be added to investigations. Instead, add them to action blocks.
- D. Phantom memory requirements remain static, regardless of Files tab usage.
Answer: A
Explanation:
Explanation
The Files tab on the Investigate page allows the user to upload, download, and view files related to an investigation. A user can upload the output from a detonate action to the Files tab for further investigation, such as analyzing the file metadata, content, or hash. Files tab items and artifacts are not the only data sources that can populate active cases, as cases can also include events, tasks, notes, and comments. Files tab items can be added to investigations by using the add file action block or the Add File button on the Files tab. Phantom memory requirements may increase depending on the Files tab usage, as files are stored in the Phantom database. Reference, page 23.
NEW QUESTION # 40
Which app allows a user to send Splunk Enterprise Security notable events to Phantom?
- A. Any of the integrated Splunk/Phantom Apps
- B. Splunk App for Phantom Reporting.
- C. Splunk App for Phantom.
- D. Phantom App for Splunk.
Answer: C
Explanation:
The Splunk App for Phantom is designed to facilitate the integration between Splunk Enterprise Security and Splunk SOAR (Phantom), enabling the seamless forwarding of notable events from Splunk to Phantom. This app allows users to leverage the analytical and data processing capabilities of Splunk ES and utilize Phantom for automated orchestration and response. The app typically includes mechanisms for specifying which notable events to send to Phantom, formatting the data appropriately, and ensuring secure communication between the two platforms. This integration is crucial for organizations looking to combine the strengths of Splunk's SIEM capabilities with Phantom's automation and orchestration features to enhance their security operations.
NEW QUESTION # 41
An active playbook can be configured to operate on all containers that share which attribute?
- A. Severity
- B. Tag
- C. Label
- D. Artifact
Answer: C
Explanation:
Explanation
The correct answer is B because an active playbook can be configured to operate on all containers that share a label. A label is a user-defined attribute that can be applied to containers to group them by a common characteristic, such as source, type, severity, etc. Labels can be used to filter containers and trigger active playbooks based on the label value. See Splunk SOAR Documentation for more details.
NEW QUESTION # 42
What is the main purpose of using a customized workbook?
- A. Workbooks apply service level agreements (SLAs) to containers and monitor completion status on the ROI dashboard.
- B. Workbooks guide user activity and coordination during event analysis and case operations.
- C. Workbooks may not be customized; only default workbooks are permitted within Phantom.
- D. Workbooks automatically implement a customized processing of events using Python code.
Answer: B
Explanation:
Explanation
The main purpose of using a customized workbook is to guide user activity and coordination during event analysis and case operations. Workbooks can be customized to include different phases, tasks, and instructions for the users. The other options are not valid purposes of using a customized workbook. See Workbooks for more information.
NEW QUESTION # 43
Which of the following expressions will output debug information to the debug window in the Visual Playbook Editor?
- A. phantom.print ()
- B. phantom.exception()
- C. phantom.assert()
- D. phantom.debug()
Answer: D
Explanation:
Explanation
The correct answer is A because the phantom.debug() function is used to output debug information to the debug window in the Visual Playbook Editor. This function can be useful for troubleshooting and testing playbooks. The answer B is incorrect because the phantom.exception() function is used to output exception information to the debug window in the Visual Playbook Editor. This function can be useful for handling errors and exceptions in playbooks. The answer C is incorrect because the phantom.print() function is used to output information to the standard output stream in the Phantom server. This function can be useful for logging and auditing purposes. The answer D is incorrect because the phantom.assert() function is used to check if a condition is true or false and raise an exception if it is false. This function can be useful for validating inputs and outputs in playbooks. Reference: Splunk SOAR Playbook Development Guide, page 22.
NEW QUESTION # 44
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