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Splunk SPLK-2003 certification exam focuses on the Splunk Phantom platform, which is a security orchestration, automation, and response (SOAR) tool. Splunk Phantom Certified Admin certification is designed for IT professionals who manage and operate security systems for their organizations. SPLK-2003 exam validates the candidate's knowledge and skills in configuring, managing, and troubleshooting the Splunk Phantom platform.
NEW QUESTION # 12
What is the default embedded search engine used by Phantom?
- A. Embedded Django search engine.
- B. Embedded Elastic search engine.
- C. Embedded Phantom search engine.
- D. Embedded Splunk search engine.
Answer: D
Explanation:
The default embedded search engine used by Splunk SOAR (formerly known as Phantom) is the embedded Splunk search engine. Here's a detailed explanation:
Embedded Splunk Search Engine:
Splunk SOAR uses an embedded, preconfigured version of Splunk Enterprise as its native search engine.
This integration allows for powerful searching capabilities within Splunk SOAR, leveraging Splunk's robust search and indexing features.
Search Configuration:
While the embedded Splunk search engine is the default, organizations have the option to configure Splunk SOAR to use a different Splunk Enterprise deployment or an external Elasticsearch instance.
This flexibility allows organizations to tailor their search infrastructure to their specific needs and existing environments.
Search Capabilities:
The embedded Splunk search engine enables users to perform complex searches, analyze data, and generate reports directly within the Splunk SOAR platform.
It supports the full range of Splunk's search processing language (SPL) commands, functions, and visualizations.
References:
Splunk SOAR Documentation: Configure search in Splunk Phantom1.
Splunk SOAR Documentation: Configure search in Splunk SOAR (On-premises)2.
In summary, the embedded Splunk search engine is the default search engine in Splunk SOAR, providing a seamless and powerful search experience for users within the platform.
NEW QUESTION # 13
Which of the following views provides a holistic view of an incident - providing event metadata, Service Level Agreement status, Severity, sensitivity of an event, and other detailed event info?
- A. Executive
- B. Investigation
- C. Technical
- D. Analyst
Answer: B
Explanation:
The Investigation view in Splunk SOAR provides a comprehensive and holistic view of an incident. This view includes vital details such as event metadata, Service Level Agreement (SLA) status, severity, sensitivity of the event, and other relevant information. It allows analysts to track and manage incidents effectively by presenting a clear picture of all aspects of the investigation process. This view is designed to help users take timely actions based on critical data points, making it a pivotal feature for incident response teams.
Other views like Executive or Analyst may focus on specific reporting or technical details, but the Investigation view provides the most complete perspective on the incident and its progress.
References:
* Splunk SOAR Documentation: Investigation View Overview.
* Splunk SOAR Incident Response Best Practices.
NEW QUESTION # 14
A user has written a playbook that calls three other playbooks, one after the other. The user notices that the second playbook starts executing before the first one completes. What is the cause of this behavior?
- A. Incorrect join configuration on the second playbook.
- B. Synchronous execution has not been configured.
- C. The first playbook is performing poorly.
- D. The sleep option for the second playbook is not set to a long enough interval.
Answer: B
Explanation:
In Splunk SOAR, playbooks can execute actions either synchronously (waiting for one action to complete before starting the next) or asynchronously (allowing actions to run concurrently). If a playbook starts executing before the previous one has completed, it indicates that synchronous execution has not been properly configured between these playbooks. This is crucial when the output of one playbook is a dependency for the subsequent playbook. Options B, C, and D do not directly address the observed behavior of concurrent playbook execution, making option A the most accurate explanation for why the second playbook starts before the completion of the first.
synchronous execution is a feature of the SOAR automation engine that allows you to control the order of execution of playbook blocks. Synchronous execution ensures that a playbook block waits for the completion of the previous block before starting its execution. Synchronous execution can be enabled or disabled for each playbook block in the playbook editor, by toggling the Synchronous Execution switch in the block settings. Therefore, option A is the correct answer, as it states the cause of the behavior where the second playbook starts executing before the first one completes. Option B is incorrect, because the first playbook performing poorly is not the cause of the behavior, but rather a possible consequence of the behavior. Option C is incorrect, because the sleep option for the second playbook is not the cause of the behavior, but rather a workaround that can be used to delay the execution of the second playbook. Option D is incorrect, because the join configuration on the second playbook is not the cause of the behavior, but rather a way of merging multiple paths of execution into one.
NEW QUESTION # 15
What is the simplest way to pass data between playbooks?
- A. Action results
- B. File system
- C. KV Store
- D. Artifacts
Answer: A
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 # 16
Which of the following describes the use of labels m Phantom?
- A. Labels control the default seventy, ownership, and sensitivity for the container.
- B. Labels control which apps are allowed to execute actions on the container.
- C. Labels determine the service level agreement (SLA) for a container.
- D. Labels determine which playbook(s) are executed when a container is created.
Answer: A
NEW QUESTION # 17
A filter block with only one condition configured which states: artifact.*.cef .sourceAddress !- , would permit which of the following data to pass forward to the next block?
- A. Null values
- B. Non-null destinationAddresses
- C. Non-null IP addresses
- D. Null IP addresses
Answer: C
Explanation:
A filter block with only one condition configured which states: artifact.*.cef .sourceAddress !- , would permit only non-null IP addresses to pass forward to the next block. The !- operator means "is not null". The other options are not valid because they either include null values or other fields than sourceAddress. See Filter block for more details. A filter block in Splunk SOAR that is configured with the condition artifact.*.cef.sourceAddress != (assuming the intention was to use "!=" to denote 'not equal to') is designed to allow data that has non-null sourceAddress values to pass through to subsequent blocks. This means that any artifact data within the container that includes a sourceAddress field with a defined value (i.e., an actual IP address) will be permitted to move forward in the playbook. The filter effectively screens out any artifacts that do not have a source address specified, focusing the playbook's actions on those artifacts that contain valid IP address information in the sourceAddress field.
NEW QUESTION # 18
A user has written a playbook that calls three other playbooks, one after the other. The user notices that the second playbook starts executing before the first one completes. What is the cause of this behavior?
- A. Synchronous execution has not been configured.
- B. The first playbook is performing poorly.
- C. Incorrect Join configuration on the second playbook.
- D. The steep option for the second playbook is not set to a long enough interval.
Answer: A
Explanation:
The correct answer is D because synchronous execution has not been configured. Synchronous execution is a feature that allows you to control the order of execution of playbook blocks. By default, Phantom executes playbook blocks asynchronously, meaning that it does not wait for one block to finish before starting the next one. This can cause problems when you have dependencies between blocks or when you call other playbooks.
To enable synchronous execution, you need to use the sync action in the run playbook block and specify the name of the next block to run after the called playbook completes. See Splunk SOAR Documentation for more details.
In Splunk SOAR, playbooks can be executed either synchronously or asynchronously. Synchronous execution ensures that a playbook waits for a called playbook to complete before proceeding to the next step. If the second playbook starts executing before the first one completes, it indicates that synchronous execution was not configured for the playbooks. Without synchronous execution, playbooks will execute independently of each other's completion status, leading to potential overlaps in execution. This behavior can be controlled by properly configuring the playbook execution settings to ensure that dependent playbooks complete their tasks in the desired order.
NEW QUESTION # 19
What are indicators?
- A. Action results that may appear in multiple containers.
- B. Action result items that determine the flow of execution in a playbook.
- C. Artifact values with special security significance.
- D. Artifact values that can appear in multiple containers.
Answer: D
NEW QUESTION # 20
After a successful POST to a Phantom REST endpoint to create a new object what result is returned?
- A. The full CEF name.
- B. The new object ID.
- C. The new object name.
- D. The PostGres UUID.
Answer: D
NEW QUESTION # 21
Which of the following is the complete list of the types of backups that are supported by Phantom?
- A. Full and delta backups.
- B. Full and incremental backups.
- C. Full, delta, and incremental backups.
- D. Full backups.
Answer: B
Explanation:
Splunk Phantom supports different types of backups to safeguard data. Full backups create a complete copy of the current state of the system, while incremental backups only save the changes made since the last backup.
This approach allows for efficient use of storage space and faster backups after the initial full backup. Delta backups, which would save changes since the last full or incremental backup, are not a standard part of Phantom's backup capabilities according to available documentation. Therefore, the complete list of backups supported by Phantom would be Full and Incremental backups.
NEW QUESTION # 22
Some of the playbooks on the Phantom server should only be executed by members of the admin role. How can this rule be applied?
- A. Make sure the Execute Playbook capability is removed from al roles except admin.
- B. Place restricted playbooks in a second source repository that has restricted access.
- C. Add a tag with restricted access to the restricted playbooks.
- D. Add a filter block to al restricted playbooks that Titters for runRole - "Admin''.
Answer: A
Explanation:
Explanation
The correct answer is C because the best way to restrict the execution of playbooks to members of the admin role is to make sure the Execute Playbook capability is removed from all roles except admin. The Execute Playbook capability is a permission that allows a user to run any playbook on any container. By default, all roles have this capability, but it can be removed or added in the Phantom UI by going to Administration > User Management > Roles. Removing this capability from all roles except admin will ensure that only admin users can execute playbooks. See Splunk SOAR Documentation for more details.
NEW QUESTION # 23
What do assets provide for app functionality?
- A. Assets provide hostnames, passwords, and other artifacts needed to run actions.
- B. Assets provide location, credentials, and other parameters needed to run actions.
- C. Assets provide firewall, network, and data sources needed to run actions.
- D. Assets provide Python code, REST API, and other capabilities needed to run actions.
Answer: B
NEW QUESTION # 24
Which app allows a user to run Splunk queries from within Phantom?
- A. Splunk App for Phantom Reporting.
- B. Splunk App for Phantom?
- C. The Integrated Splunk/Phantom app.
- D. Phantom App for Splunk.
Answer: B
NEW QUESTION # 25
When is using decision blocks most useful?
- A. When evaluating complex, multi-value results or artifacts.
- B. When modifying downstream data hi one or more paths in the playbook.
- C. When processing different data in parallel.
- D. When selecting one (or zero) possible paths in the playbook.
Answer: D
Explanation:
Explanation
Decision blocks are most useful when selecting one (or zero) possible paths in the playbook. Decision blocks allow the user to define one or more conditions based on action results, artifacts, or custom expressions, and execute the corresponding path if the condition is met. If none of the conditions are met, the playbook execution ends. Decision blocks are not used for processing different data in parallel, evaluating complex, multi-value results or artifacts, or modifying downstream data in one or more paths in the playbook. Reference, page 15.
NEW QUESTION # 26
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.new_artifact ()
- C. phantom. update ()
- D. phantom.create_artifact ()
Answer: D
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 # 27
Which of the following items cannot be modified once entered into SOAR?
- A. An artifact.
- B. A comment.
- C. A note.
- D. A container.
Answer: A
Explanation:
In Splunk SOAR, once an artifact is entered, it cannot be modified. An artifact refers to a piece of data associated with a specific container, such as log files, emails, or other relevant information in an incident. The immutable nature of artifacts ensures the integrity and forensic value of the data. By preventing modification after creation, SOAR maintains a secure and audit-compliant environment, ensuring that data remains trustworthy throughout the incident's lifecycle. However, containers, comments, and notes can be updated or modified, making artifacts unique in their immutability.
References:
Splunk SOAR User Guide: Artifacts and Containers.
Splunk SOAR Best Practices for Incident Management.
NEW QUESTION # 28
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