[2025年04月]更新のSPLK-2003試験資料Splunk学習ガイド
有効な問題最新版を試そうSPLK-2003テスト解釈SPLK-2003有効な試験ガイド
Splunk SPLK-2003は、Splunk Phantomを管理する知識とスキルを検証する業界で認められた資格です。Splunk Phantomプラットフォームは、セキュリティオペレーションの自動化とオーケストレーションの機能を提供し、組織がセキュリティインシデントをより効果的に検出、調査、対応できるようにします。SPLK-2003試験は、個人がSplunk Phantomプラットフォームを設定、管理、トラブルシューティングする能力をテストするために設計されています。
質問 # 26
Why does SOAR use wildcards within artifact data paths?
- A. To make playbooks filter out nulls.
- B. To make decision execution in playbooks run faster.
- C. To make data access in playbooks easier.
- D. To make playbooks more specific.
正解:C
解説:
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)
質問 # 27
What is enabled if the Logging option for a playbook's settings is enabled?
- A. All modifications to the playbook will be written to the audit log.
- B. More detailed logging information Is available m the Investigation page.
- C. The playbook will write detailed execution information into the spawn.log.
- D. More detailed information is available in the debug window.
正解:C
質問 # 28
Where in SOAR can a user view the JSON data for a container?
- A. In the analyst queue.
- B. In the audit log.
- C. On the Investigation page.
- D. In the data ingestion display.
正解:C
解説:
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)
質問 # 29
Which of the following can the format block be used for?
- A. To generate HTML or CSS content for output in email messages, user prompts, or comments.
- B. To generate arrays for input into other functions.
- C. To generate string parameters for automated action blocks.
- D. To create text strings that merge state text with dynamic values for input or output.
正解:D
質問 # 30
Which two playbook blocks can discern which path in the playbook to take next?
- A. Filter and decision blocks.
- B. Decision and action blocks.
- C. Filter and prompt blocks.
- D. Prompt and decision blocks.
正解:D
解説:
https://docs.splunk.com/Documentation/SOAR/current/Playbook/DecisionBlock In Splunk SOAR playbooks, the blocks that can discern which path to take next are the prompt and decision blocks. The prompt block allows the playbook to pause and wait for user input, which can then determine the subsequent path of execution based on the response provided. The decision block evaluates conditions based on data within the playbook and directs the flow to different paths accordingly11.
The decision block is used to change the flow of artifacts by performing IF, ELSE IF, or ELSE functions.
When an artifact meets a True condition, it is passed downstream to the corresponding block in the playbook flow11. The prompt block, on the other hand, interacts with users to make decisions during playbook execution, which can also influence the direction of the playbook's flow.
References:
Splunk SOAR documentation on using decisions to send artifacts to a specific downstream action in your playbook
質問 # 31
Which Phantom VPE Nock S used to add information to custom lists?
- A. API blocks
- B. Filter blocks
- C. Action blocks
- D. Decision blocks
正解:A
質問 # 32
Which of the following expressions will output debug information to the debug window in the Visual Playbook Editor?
- A. phantom.debug()
- B. phantom.print ()
- C. phantom.exception()
- D. phantom.assert()
正解:A
解説:
The phantom.debug() function is used within Splunk SOAR playbooks to output debug information to the debug window in the Visual Playbook Editor. This function is instrumental in troubleshooting and developing playbooks, as it allows developers to print out variables, messages, or any relevant information that can help in understanding the flow of the playbook, the data being processed, and any issues that might arise during execution. This debugging tool is essential for ensuring that playbooks are functioning as intended and for diagnosing any problems that may occur.
質問 # 33
A user wants to get the playbook results for a single artifact. Which steps will accomplish the?
- A. Use the run playbook dialog and set the scope to the artifact.
- B. Use the contextual menu from the artifact and select run playbook.
- C. Use the contextual menu from the artifact and select the actions.
- D. Create a new container including Just the artifact in question.
正解:B
解説:
To get playbook results for a single artifact, a user can utilize the contextual menu option directly from the artifact itself. This method allows for targeted execution of a playbook on just that artifact, facilitating a focused analysis or action based on the data within that specific artifact. This approach is particularly useful when a user needs to drill down into the details of an individual piece of evidence or data point within a larger incident or case, allowing for granular control and execution of playbooks in the Splunk SOAR environment.
質問 # 34
Which of the following queries would return all artifacts that contain a SHA1 file hash?
- A. https://<PHANTOM_URL>/rest/artifact?_filter_cef_md5_insull=false
- B. https://<PHANTOM_URL>/rest/artifact?_filter_cef_Shal_contains=""
- C. https://<PHANTOM_URL>/rest/artifact?_filter_cef_shal_insull=False
- D. https://<PHANTOM_URL>/rest/artifact?_filter_shal__insull=False
正解:C
解説:
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.
質問 # 35
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 PostGres UUID.
- C. The new object ID.
- D. The new object name.
正解:C
解説:
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 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.
質問 # 36
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. Create artifacts using one playbook and collect those artifacts in another playbook.
- B. Use the py-postgresq1 module to directly save the data in the Postgres database.
- C. Use the Handle method to pass data directly between playbooks.
- D. Cal the child playbooks getter function.
正解:A
解説:
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.
質問 # 37
In this image, which container fields are searched for the text "Malware"?
- A. Event Name and Artifact Names.
- B. Event Name, Notes, Comments.
- C. Event Name or ID.
正解:A
解説:
Explanation
The correct answer is A because the image shows the search interface of the Splunk SOAR product, where the user can search for events and artifacts based on various criteria. The image shows that the user has entered the text "Malware" in the search bar, which means that the search will look for events and artifacts that have the term "Malware" in their name. The answer B is incorrect because the search interface does not search for notes or comments, which are separate entities in the Splunk SOAR product. The answer C is incorrect because the search interface does not search for event ID, which is a unique identifier for each event. Reference: Splunk SOAR User Guide, page 21.
質問 # 38
Which of the following roles is appropriate for a Splunk SOAR account that will only be used to execute automated tasks?
- A. Automation Engineer
- B. Automation
- C. Non-Human
- D. Service Account
正解:C
解説:
In Splunk SOAR, the 'Non-Human' role is appropriate for accounts that are used exclusively to execute automated tasks. This role is designed for service accounts that interact with the SOAR platform programmatically rather than through a human user. It ensures that the account has the necessary permissions to perform automated actions while restricting access that would be unnecessary or inappropriate for a non-human entity.
質問 # 39
Which of the following can the format block be used for?
- A. To generate HTML or CSS content for output in email messages, user prompts, or comments.
- B. To generate arrays for input into other functions.
- C. To generate string parameters for automated action blocks.
- D. To create text strings that merge state text with dynamic values for input or output.
正解:D
解説:
The format block in Splunk SOAR is utilized to construct text strings by merging static text with dynamic values, which can then be used for both input to other playbook blocks and output for reports, emails, or other forms of communication. This capability is essential for customizing messages, commands, or data processing tasks within a playbook, allowing for the dynamic insertion of variable data into predefined text templates.
This feature enhances the playbook's ability to present information clearly and to execute actions that require specific parameter formats.
質問 # 40
Which of the following is an advantage of using the Visual Playbook Editor?
- A. Eliminates any need to use Python code.
- B. The Visual Playbook Editor is the only way to generate user prompts.
- C. Supports Python or Javascript.
- D. Easier playbook maintenance.
正解:D
解説:
Visual Playbook Editor is a feature of Splunk SOAR that allows you to create, edit, and implement automated playbooks using visual building blocks and execution flow lanes, without having to write code. The Visual Playbook Editor automatically generates the code for you, which you can view and edit in the Code Editor if needed. The Visual Playbook Editor also supports Python and Javascript as scripting languages for custom code blocks. One of the advantages of using the Visual Playbook Editor is that it makes playbook maintenance easier, as you can quickly modify, test, and debug your playbooks using the graphical interface. Therefore, option D is the correct answer, as it states an advantage of using the Visual Playbook Editor. Option A is incorrect, because using the Visual Playbook Editor does not eliminate the need to use Python code, but rather simplifies the process of creating and editing code. You can still add custom Python code to your playbooks using the custom function block or the Code Editor. Option B is incorrect, because the Visual Playbook Editor is not the only way to generate user prompts, but rather one of the ways. You can also generate user prompts using the classic playbook editor or the Code Editor. Option C is incorrect, because supporting Python or Javascript is not an advantage of using the Visual Playbook Editor, but rather a feature of Splunk SOAR in general. You can use Python or Javascript in any of the playbook editors, not just the Visual Playbook Editor.
1: Web search results from search_web(query="Splunk SOAR Automation Developer Visual Playbook Editor")
質問 # 41
A user wants to use their Splunk Cloud instance as the external Splunk instance for Phantom. What ports need to be opened on the Splunk Cloud instance to facilitate this? Assume default ports are in use.
- A. TCP 8080 and TCP 8191.
- B. TCP 80 and TCP 443.
- C. TCP 8088 and TCP 8099.
- D. Splunk Cloud is not supported.
正解:C
解説:
Explanation
A user who wants to use their Splunk Cloud instance as the external Splunk instance for Phantom needs to open TCP 8088 and TCP 8099 ports on the Splunk Cloud instance. TCP 8088 is used for the HTTP Event Collector (HEC) service, which allows Phantom to send data to Splunk Cloud. TCP 8099 is used for the Splunk REST API service, which allows Phantom to query data from Splunk Cloud. The other port combinations are not valid for this scenario. Splunk Cloud is supported as an external Splunk instance for Phantom. Reference, page 6.
質問 # 42
What users are included in a new installation of SOAR?
- A. The admin, power, and user users are included by default.
- B. No users are included by default.
- C. Only the admin user is included by default.
- D. The admin and automation users are included by default.
正解:D
解説:
The admin and automation users are included by default. Comprehensive Explanation and References of answer: According to the Splunk SOAR (On-premises) default credentials, script options, and sample
configuration files documentation1, the default credentials on a new installation of Splunk SOAR (On-premises) are:
Web Interface Username: soar_local_admin password: password
On Splunk SOAR (On-premises) deployments which have been upgraded from earlier releases the user account admin becomes a normal user account with the Administrator role.
The automation user is a special user account that is used by Splunk SOAR (On-premises) to run actions and playbooks. It has the Automation role, which grants it full access to all objects and data in Splunk SOAR (On-premises).
The other options are incorrect because they either omit the automation user or include users that are not created by default. For example, option B includes the power and user users, which are not part of the default installation. Option C only includes the admin user, which ignores the automation user. Option D claims that no users are included by default, which is false.
In a new installation of Splunk SOAR, two default user accounts are typically created: admin and automation.
The admin account is intended for system administration tasks, providing full access to all features and settings within the SOAR platform. The automation user is a special account used for automated processes and scripts that interact with the SOAR platform, often without requiring direct human intervention. This user has specific permissions that can be tailored for automated tasks. Options B, C, and D do not accurately represent the default user accounts included in a new SOAR installation, making option A the correct answer.
質問 # 43
What metrics can be seen from the System Health Display? (select all that apply)
- A. Playbook Usage
- B. Load Average
- C. Memory Usage
- D. Disk Usage
正解:B、C、D
解説:
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.
質問 # 44
Which of the following is an asset ingestion setting in SOAR?
- A. Tag
- B. File format
- C. Operating system
- D. Polling Interval
正解:D
解説:
The asset ingestion setting 'Polling Interval' within Splunk SOAR determines how frequently the SOAR platform will poll an asset to ingest data. This setting is crucial for assets that are configured to pull in data from external sources at regular intervals. Adjusting the polling interval allows administrators to balance the need for timely data against network and system resource considerations.
An asset ingestion setting is a configuration option that allows you to specify how often SOAR should poll an asset for new data. Data ingestion settings are available for assets such as QRadar, Splunk, and IMAP. To configure ingestion settings for an asset, you need to navigate to the Asset Configuration page, select the Ingest Settings tab, and edit the Polling Interval field. The Polling Interval is the number of seconds between each poll request that SOAR sends to the asset. Therefore, option A is the correct answer, as it is the only option that is an asset ingestion setting in SOAR. Option B is incorrect, because Tag is not an asset ingestion setting, but a way of labeling an asset for easier identification and filtering. Option C is incorrect, because File format is not an asset ingestion setting, but a way of specifying the format of the data that is ingested from an asset. Option D is incorrect, because Operating system is not an asset ingestion setting, but a way of identifying the type of system that an asset runs on.
1: Configure ingest settings for a Splunk SOAR (On-premises) asset
質問 # 45
An active playbook can be configured to operate on all containers that share which attribute?
- A. Severity
- B. Label
- C. Tag
- D. Artifact
正解:B
解説:
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.
In Splunk SOAR, labels are used to categorize containers (such as incidents or events) based on their characteristics or the type of security issue they represent. An active playbook can be configured to trigger on all containers that share a specific label, enabling targeted automation based on the nature of the incident. This functionality allows for efficient and relevant playbook execution, ensuring that the automated response is tailored to the specific requirements of the container's category. Labels serve as a powerful organizational tool within SOAR, guiding the automated response framework to act on incidents that meet predefined criteria, thus streamlining the security operations process.
質問 # 46
After a playbook has run, where are the results stored?
- A. Log file
- B. Splunk Index
- C. Container
- D. Case
正解:C
解説:
The correct answer is C because after a playbook has run, the results are stored in the container that triggered the playbook. The container is a data object that represents an event or a case in Phantom. The container contains information such as the name, the description, the severity, the status, the owner, and the labels of the event or case. The container also contains the artifacts, the action results, the comments, the notes, and the phases and tasks associated with the event or case. The answer A is incorrect because after a playbook has run, the results are not stored in a Splunk index, which is a data structure that stores events from various data sources in Splunk. The Splunk index is not directly accessible by Phantom, but can be queried by Phantom using the Splunk app. The answer B is incorrect because after a playbook has run, the results are not stored in a case, which is a type of container that represents a security incident in Phantom. The case is a subset of the container, and not all containers are cases. The answer D is incorrect because after a playbook has run, the results are not stored in a log file, which is a file that records the activities or events that occur in a system or a process. The log file is not a data object in Phantom, but can be a data source for Phantom.
Reference: Splunk SOAR User Guide, page 19. In Splunk Phantom, after a playbook has been executed, the results of the actions within that playbook are stored in the container associated with the event. A container is a data structure that encapsulates all relevant information and data for an incident or event within Phantom, including action results, artifacts, notes, and more. The container allows users to see a consolidated view of all the data and activity related to a particular event. These results are not stored in the Splunk Index, a separate case, or a log file as their primary storage but may be sent to a Splunk index for further analysis.
質問 # 47
What are the components of the I2A2 design methodology?
- A. Inputs, Interactions, Actions, Assets
- B. Inputs, Interactions, Actions, Artifacts
- C. Inputs, Interactions, Actions, Apps
- D. Inputs, Interactions, Apps, Artifacts
正解:B
解説:
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.
質問 # 48
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()
正解:C
質問 # 49
An active playbook can be configured to operate on all containers that share which attribute?
- A. Severity
- B. Label
- C. Tag
- D. Artifact
正解:B
質問 # 50
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SPLK-2003 認定試験は、Splunk Phantom プラットフォームを効果的に管理・活用するために必要な知識とスキルを検証するために設計されています。この試験では、Phantom のインストールと設定、プレイブックの作成と管理、Phantom を他のツールやプラットフォームと統合する方法など、様々なトピックを扱います。また、候補者が一般的な問題をトラブルシューティングし、ユーザーやリソースを効果的に管理できる能力も評価されます。
SPLK-2003試験問題と解答:https://www.goshiken.com/Splunk/SPLK-2003-mondaishu.html
SPLK-2003実際の問題解答PDFは100%カバー率でリアル試験問題:https://drive.google.com/open?id=1IVEUGJdiL1NAvOkwgrIrFo75HJ5TXnt7