Question 1

What is the default log level for system health debug logs?

Accepted Answer

The default log level for system health debug logs in Splunk SOAR is typically set to INFO. This log level provides a balance between verbosity and relevance,
offering insights into the operational status of the system without the detailed granularity of DEBUG or the limited scope of WARN and ERROR levels.
The default log level for system health debug logs is INFO. This means that only informational messages and higher severity messages (such as WARN, ERROR,
or CRITICAL) are written to the log files. You can adjust the logging level for each daemon running in Splunk SOAR to help debug or troubleshoot issues. For more
details, see Configure the logging levels for Splunk SOAR (On-premises) daemons.

Question 2

Why does SOAR use wildcards within artifact data paths?

Accepted Answer

Wildcards are used within artifact data paths in Splunk SOAR playbooks to simplify the process of accessing data. They allow playbooks to reference dynamic or
variable data structures without needing to specify exact paths, which can vary between artifacts. This flexibility makes it easier to write playbooks that work across
different events and scenarios, without hard-coding data paths.
SOAR uses wildcards within artifact data paths to make data access in playbooks easier. A data path is a way of specifying the location of a piece of data within an
artifact. For example, artifact.cef.sourceAddress is a data path that refers to the source address field of the artifact. A wildcard is a special character that can match
any value or subfield within a data path. For example, artifact.*.cef.sourceAddress is a data path that uses a wildcard to match any field name before the cef
subfield. This allows the playbook to access the source address data regardless of the field name, which can vary depending on the app or source that generated
the artifact. Therefore, option C is the correct answer, as it explains why SOAR uses wildcards within artifact data paths. Option A is incorrect, because wildcards
do not make playbooks more specific, but more flexible and adaptable. Option B is incorrect, because wildcards do not make playbooks filter out nulls, but match
any value or subfield. Option D is incorrect, because wildcards do not make decision execution in playbooks run faster, but make data access in playbooks easier.
1: Understanding datapaths in Administer Splunk SOAR (Cloud)

Question 3

Which of the following are the steps required to complete a full backup of a Splunk Phantom deployment' Assume the commands are executed from
/opt/phantom/bin and that no other backups have been made.

Accepted Answer

The correct answer is B because the steps required to complete a full backup of a Splunk Phantom deployment are to first run the --backup --backup-type full
command and then run the --setup command. The --backup command creates a backup file in the /opt/phantom/backup directory. The --backup-type full option
specifies that the backup file includes all the data and configuration files of the Phantom server.
The --setup command creates a configuration file that contains the encryption key and other information needed to restore the backup file. See Splunk SOAR
Certified Automation Developer Track for more details.
Performing a full backup of a Splunk Phantom deployment involves using the command-line interface, primarily because Phantom's architecture and data
management processes are designed to be managed at the server level for comprehensive backup and recovery. The correct sequence involves initiating a full
backup first using the --backup --backup- type full option to ensure all configurations, data, and necessary components are included in the backup. Following the
completion of the backup, the --setup option might be used to configure or verify the backup settings, although typically, the setup would precede backup
operations in practical scenarios. This process ensures that all aspects of the Phantom deployment are preserved, including configurations, playbooks, cases, and
other data, which is crucial for disaster recovery and system migration.

Question 4

After a successful POST to a Phantom REST endpoint to create a new object what result is returned?

Accepted Answer

The correct answer is A because after a successful POST to a Phantom REST endpoint to create a new object, the result returned is the new object ID. The
object ID is a unique identifier for each object in Phantom, such as a container, an artifact, an action, or a playbook. The object ID can be used to retrieve, update,
or delete the object using the Phantom REST API. The answer B is incorrect because after a successful POST to a Phantom REST endpoint to create a new

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object, the result returned is not the new object name, which is a human-readable name for the object. The object name can be used to search for the object using
the Phantom web interface. The answer C is incorrect because after a successful POST to a Phantom REST endpoint to create a new object, the result returned is
not the full CEF name, which is a standard format for event data. The full CEF name can be used to access the CEF fields of an artifact using the Phantom REST
API. The answer D is incorrect because after a successful POST to a Phantom REST endpoint to create a new object, the result returned is not the PostGres
UUID, which is a unique identifier for each row in a PostGres database. The PostGres UUID is not exposed to the Phantom REST API. Reference: Splunk SOAR
REST API Guide, page 17. When a POST request is made to a Phantom REST endpoint to create a new object, such as an event, artifact, or container, the typical
response includes the ID of the newly created object. This ID is a unique identifier that can be used to reference the object within the system for future operations,
such as updating, querying, or deleting the object. The response does not usually include the full name or other specific details of the object, as the ID is the most
important piece of information needed immediately after creation for reference purposes.

Question 5

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?

Accepted Answer

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.

Question 6

Which of the following describes the use of labels m Phantom?

Accepted Answer

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 7

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?

Accepted Answer

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.

Question 8

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

Accepted Answer

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 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 9

What are the components of the I2A2 design methodology?

Accepted Answer

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 10

Which is the primary system requirement that should be increased with heavy usage of the file vault?

Accepted Answer

The primary system requirement that should be increased with heavy usage of the file vault is the amount of storage. The file vault is a secure repository for
storing files on Phantom. The more files are stored, the more storage space is needed. The other options are not directly related to the file vault usage. See [File
vault] for more information. Heavy usage of the file vault in Splunk SOAR necessitates an increase in the amount of storage available. The file vault is used to
securely store files associated with cases, such as malware samples, logs, and other artifacts relevant to an investigation. As the volume of files and the size of
stored data grow, ensuring sufficient storage capacity becomes critical to maintain performance and ensure that all necessary data is retained for analysis and
evidence.