Splunk Splk-2003 dumps exam questions and answers

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Splunk SOAR Certified Automation Developer (splk-2003)

Increase your proficiency — from installing, configuring and using SOAR servers to planning, designing, creating and debugging SOAR playbooks.

Demonstrate your complex SOAR solution capabilities

Grow your knowledge and skills in installing and configuring a SOAR server and integrating it with the Splunk platform. Develop a wide range of SOAR playbooks, including with custom coding and REST API usage.

Exam Details:

  • Level: Professional

  • Prerequisites: None

  • Length: 60 minutes

  • Format: 45 multiple choice questions

  • Pricing: $130 USD per exam attempt

  • Delivery: Exam is given by our testing partner Pearson VUE

Preparation:

Latest splk-2003 exam questions online practice

Question 1:

Which of the following are the default ports that must be configured on Splunk to allow connections from Phantom?

A. SplunkWeb (8088), SplunkD (8089), HTTP Collector (8000)

B. SplunkWeb (8089), SplunkD (8088), HTTP Collector (8000)

C. SplunkWeb (8421), SplunkD (8061), HTTP Collector (8798)

D. SplunkWeb (8000), SplunkD (8089), HTTP Collector (8088)


Correct Answer: D

The correct answer is D because the default ports that must be configured on Splunk to allow connections from Phantom are SplunkWeb (8000), SplunkD (8089), and HTTP Collector (8088). SplunkWeb is the port used to access the Splunk web interface. SplunkD is the port used to communicate with the Splunk server. HTTP Collector is the port used to send data to Splunk using the HTTP Event Collector (HEC). These ports must be configured on Splunk and Phantom to enable the integration between the two products. See Splunk SOAR Documentation for more details. To allow connections from Splunk Phantom to Splunk, certain default ports need to be open and properly configured. The default ports include SplunkWeb (8000) for web access, SplunkD (8089) for Splunk\'s management port, and the HTTP Event Collector (HEC) on port 8088, which is used for ingesting data into Splunk. These ports are essential for the communication between Splunk Phantom and Splunk, facilitating data exchange, search capabilities, and the integration of various functionalities between the two platforms.


Question 2:

Is it possible to import external Python libraries such as the time module?

A. No.

B. No, but this can be changed by setting the proper permissions.

C. Yes, in the global block.

D. Yes. from a drop-down menu.


Correct Answer: C

In Splunk SOAR, it is possible to import external Python libraries, such as the time module, within the scope of a playbook\'s global code block. The global block allows users to define custom Python code, including imports of standard Python libraries that are included in the Phantom platform\'s Python environment. This capability enables the extension of playbooks\' functionality with additional Python logic, making playbooks more powerful and versatile in their operations.


Question 3:

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.


Correct Answer: C

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.


Question 4:

In addition to full backups. Phantom supports what other backup type using backup?

A. Snapshot

B. Incremental

C. Partial

D. Differential


Correct Answer: B

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.


Question 5:

Without customizing container status within Phantom, what are the three types of status for a container?

A. New, In Progress, Closed

B. Low, Medium, High

C. Mew, Open, Resolved

D. Low, Medium, Critical


Correct Answer: A

Within Splunk SOAR, containers (which represent incidents, cases, or events) have a lifecycle that is tracked through their status. The default statuses available without any customization are "New", "In Progress", and "Closed". These statuses help in organizing and managing the incident response process, allowing users to easily track the progress of investigations and responses from initial detection through to resolution.


Question 6:

Which of the following is a step when configuring event forwarding from Splunk to Phantom?

A. Map CIM to CEF fields.

B. Create a Splunk alert that uses the event_forward.py script to send events to Phantom.

C. Map CEF to CIM fields.

D. Create a saved search that generates the JSON for the new container on Phantom.


Correct Answer: B

A step when configuring event forwarding from Splunk to Phantom is to create a Splunk alert that uses the event_forward.py script to send events to Phantom. This script will convert the Splunk events to CEF format and send them to Phantom as containers. The other options are not valid steps for event forwarding. See Forwarding events from Splunk to Phantom for more details. Configuring event forwarding from Splunk to Phantom typically involves creating a Splunk alert that leverages a script (like event_forward.py) to automatically send triggered event data to Phantom. This setup enables Splunk to act as a detection mechanism that, upon identifying notable events based on predefined criteria, forwards these events to Phantom for further orchestration, automation, and response actions. This integration streamlines the process of incident management by connecting Splunk\'s powerful data analysis capabilities with Phantom\'s orchestration and automation framework.


Question 7:

How can the DECIDED process be restarted?

A. By restarting the playbook daemon.

B. On the System Health page.

C. In Administration > Server Settings.

D. By restarting the automation service.


Correct Answer: D

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.


Question 8:

What are indicators?

A. Action result items that determine the flow of execution in a playbook.

B. Action results that may appear in multiple containers.

C. Artifact values that can appear in multiple containers.

D. Artifact values with special security significance.


Correct Answer: D

Indicators within the context of Splunk SOAR refer to artifact values that have special security significance. These are typically derived from the data within artifacts and are identified as having particular importance in the analysis and investigation of security incidents. Indicators might include items such as IP addresses, domain names, file hashes, or other data points that can be used to detect, correlate, and respond to security threats. Recognizing and managing indicators effectively is key to leveraging SOAR for enhanced threat intelligence, incident response, and security operations efficiency.


Question 9:

How can more than one user perform tasks in a workbook?

A. Any user in a role with write access to the case\'s workbook can be assigned to tasks.

B. Add the required users to the authorized list for the container.

C. Any user with a role that has Perform Task enabled can execute tasks for workbooks.

D. The container owner can assign any authorized user to any task in a workbook.


Correct Answer: C

In Splunk SOAR, tasks within workbooks can be performed by any user whose role has the \'Perform Task\' capability enabled. This capability is assigned within the role configuration and allows users with the appropriate permissions to execute tasks. It is not limited to users with write access or the container owner; rather, it is based on the specific permissions granted to the role with which the user is associated.


Question 10:

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. Type the CEF datapath in manually.

B. Delete and recreate the artifact.

C. Edit the artifact to enable the List as Parameter option for the CEF value.

D. Edit the container to allow CEF parameters.


Correct Answer: A

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.., 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. Web search results from search_web(query="Splunk SOAR Automation Developer input parameter to an action")


Question 11:

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. Enter the two queries in the asset as comma separated values.

B. Configure the second query in the Phantom app for Splunk.

C. Install a second Splunk app and configure the query in the second app.

D. Configure a second Splunk asset with the second query.


Correct Answer: D

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.


Question 12:

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

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 13:

Which Phantom API command is used to create a custom list?

A. phantom.add_list()

B. phantom.create_list()

C. phantom.include_list()

D. phantom.new_list()


Correct Answer: B

The Phantom API command to create a custom list is phantom.create_list(). This command takes a list name and an optional description as parameters and returns a list ID if successful. The other commands are not valid Phantom API commands. phantom.add_list() is a Python function that can be used in custom code blocks to add data to an existing list. To create a custom list in Splunk Phantom, the appropriate API command used is phantom.create_list(). This function allows for the creation of a new list that can be used to store data such as IP addresses, file hashes, or any other information that you want to track or reference across multiple playbooks or within different parts of the Phantom platform. The custom list is a flexible data structure that can be leveraged for various use cases within Phantom, including data enrichment, persistent storage of information, and cross-playbook data sharing.


Question 14:

What values can be applied when creating Custom CEF field?

A. Name

B. Name, Data Type

C. Name, Value

D. Name, Data Type, Severity


Correct Answer: B

Custom CEF fields can be created with a name and a data type. The name must be unique and the data type must be one of the following: string, int, float, bool, or list. The severity is not a valid option for custom CEF fields. See Creating custom CEF fields for more details. When creating Custom Common Event Format (CEF) fields in Splunk SOAR (formerly Phantom), the essential values you need to specify are the "Name" of the field and the "Data Type." The "Name" is the identifier for the field, while the "Data Type" specifies the kind of data the field will hold, such as string, integer, IP address, etc. This combination allows for the structured and accurate representation of data within SOAR, ensuring that custom fields are compatible with the platform\'s data processing and analysis mechanisms.


Question 15:

A customer wants to design a modular and reusable set of playbooks that all communicate with each other. Which of the following is a best practice for data sharing across playbooks?

A. Use the py-postgresq1 module to directly save the data in the Postgres database.

B. Cal the child playbooks getter function.

C. Create artifacts using one playbook and collect those artifacts in another playbook.

D. Use the Handle method to pass data directly between playbooks.


Correct Answer: C

The correct answer is C because creating artifacts using one playbook and collecting those artifacts in another playbook is a best practice for data sharing across playbooks. Artifacts are data objects that are associated with a container and can be used to store information such as IP addresses, URLs, file hashes, etc. Artifacts can be created using the add artifact action in any playbook block and can be collected using the get artifacts action in the filter block. Artifacts can also be used to trigger active playbooks based on their label or type. See Splunk SOAR Documentation for more details. In the context of Splunk SOAR, one of the best practices for data sharing across playbooks is to create artifacts in one playbook and use another playbook to collect and utilize those artifacts. Artifacts in Splunk SOAR are structured data related to security incidents (containers) that playbooks can act upon. By creating artifacts in one playbook, you can effectively pass data and context to subsequent playbooks, allowing for modular, reusable, and interconnected playbook designs. This approach promotes efficiency, reduces redundancy, and enhances the playbook\'s ability to handle complex workflows.

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