Splunk Phantom Certified Admin練習テスト2024年最新のSPLK-2003ストレスなしで合格させちゃう! [Q44-Q63]

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Splunk Phantom Certified Admin練習テスト2024年最新のSPLK-2003ストレスなしで合格させちゃう!

練習Splunk SOAR Certified Automation Developer SPLK-2003問題集オンライン試験練習テストと詳細な解説付き!


SPLK-2003試験は、60の多肢選択問題から構成され、90分以内に解答する必要があります。問題は、Splunk Phantom管理に関連するコンセプトに対する候補者の知識と理解をテストするために設計されています。試験はオンラインで実施され、候補者は自宅やオフィスから受験することができます。試験料は125ドルで、候補者はSplunkのウェブサイトで試験に登録することができます。

 

質問 # 44
Which of the following is a step when configuring event forwarding from Splunk to Phantom?

  • A. Map CIM to CEF fields.
  • B. Create a saved search that generates the JSON for the new container on Phantom.
  • C. Create a Splunk alert that uses the event_forward.py script to send events to Phantom.
  • D. Map CEF to CIM fields.

正解:D


質問 # 45
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 IP addresses
  • B. Non-null IP addresses
  • C. Non-null destinationAddresses
  • D. Null values

正解:B

解説:
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.


質問 # 46
If no data matches any filter conditions, what is the next block run by the playbook?

  • A. The start block.
  • B. The next block.
  • C. The filter block.
  • D. The end block.

正解:B

解説:
In a Splunk SOAR playbook, if no data matches the conditions specified within a filter block, the playbook execution will proceed to the next block that is configured to follow the filter block. The "next block" refers to whatever action or decision block is designed to be next in the sequence according to the playbook's logic.
Filters in Splunk SOAR are used to make decisions based on data conditions, and they control the flow of the playbook. If the conditions in a filter block are not met, the playbook does not simply end or restart; rather, it continues to execute the subsequent blocks that have been set up to handle situations where the filter conditions are not met.
A filter block will typically have different paths for different outcomes-matching and non-matching. If the conditions are matched, one set of blocks will execute, and if not, another set of blocks, which could simply be the next one in the sequence, will execute. This allows for complex logic and branching within the playbook to handle a wide range of scenarios.
In a Splunk SOAR playbook, when no data matches any filter conditions, the playbook continues to run by proceeding to the next block in the sequence. The filter block is designed to specify a subset of artifacts before further processing, and only artifacts matching the specified condition are passed along to downstream blocks for processing1. If no artifacts meet the conditions, the playbook does not end or restart; instead, it moves on to the next block, which could be any type of block depending on the playbook's design1.
References:
Use filters in your Splunk SOAR (Cloud) playbook to specify a subset of artifacts before further processing - Splunk Documentation


質問 # 47
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 # 48
Within the 12A2 design methodology, which of the following most accurately describes the last step?

  • A. List of the outputs of the playbook design.
  • B. List of the data needed to run the playbook.
  • C. List of the apps used by the playbook.
  • D. List of the actions of the playbook design.

正解:B


質問 # 49
What is the default log level for system health debug logs?

  • A. INFO
  • B. WARN
  • C. ERROR
  • D. DEBUG

正解:A

解説:
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.


質問 # 50
How does a user determine which app actions are available?

  • A. Add an action block to a playbook canvas area.
  • B. From the Apps menu, click the supported actions dropdown for each app.
  • C. In the visual playbook editor, click Active and click the Available App Actions dropdown.
  • D. Search the Apps category in the global search field.

正解:A

解説:
A user can determine which app actions are available by adding an action block to a playbook canvas area.
The action block will show a list of all the apps installed on the Phantom system and the actions supported by each app. The other options do not provide a comprehensive view of the app actions available. Reference, page 11. In Splunk Phantom, to determine which app actions are available, a user can add an action block to the playbook canvas area within the visual playbook editor. The action block will present a list of available apps and their associated actions that the user can choose from. This method provides a user-friendly way to browse and select from the various actions that can be incorporated into the automation workflows (playbooks). The visual playbook editor is a key component of Phantom, allowing users to design, edit, and manage playbooks via a graphical interface.


質問 # 51
What is the default embedded search engine used by SOAR?

  • A. Embedded SOAR search engine.
  • B. Embedded Splunk search engine.
  • C. Embedded Elastic search engine.
  • D. Embedded Django search engine.

正解:A

解説:
the default embedded search engine used by SOAR is the SOAR search engine, which is powered by the PostgreSQL database built-in to Splunk SOAR (Cloud). A Splunk SOAR (Cloud) Administrator can configure options for search from the Home menu, in Search Settings under Administration Settings. The SOAR search engine has been modified to accept the * wildcard and supports various operators and filters.
For search syntax and examples, see Search within Splunk SOAR (Cloud)2.
Option A is incorrect, because the embedded Splunk search engine was used in earlier releases of Splunk SOAR (Cloud), but not in the current version. Option C is incorrect, because Django is a web framework, not a search engine. Option D is incorrect, because Elastic is a separate search engine that is not embedded in Splunk SOAR (Cloud).
1: Configure search in Splunk SOAR (Cloud) 2: Search within Splunk SOAR (Cloud) Splunk SOAR utilizes its own embedded search engine by default, which is tailored to its security orchestration and automation framework. While Splunk SOAR can integrate with other search engines, like the Embedded Splunk search engine, for advanced capabilities and log analytics, its default setup comes with an embedded search engine optimized for the typical data and search patterns encountered within the SOAR platform.


質問 # 52
How is it possible to evaluate user prompt results?

  • A. Add a decision Mode
  • B. Set action_result.summary. status to required.
  • C. Set action_result. summary. response to required.
  • D. Set the user prompt to reinvoke if it times out.

正解:C

解説:
In Splunk Phantom, user prompts are actions that require human input. To evaluate the results of a user prompt, you can set the response requirement in the action result summary. By setting action_result.summary.response to required, the playbook ensures that it captures the user's input and can act upon it. This is critical in scenarios where subsequent actions depend on the choices made by the user in response to a prompt. Without setting this, the playbook would not have a defined way to handle the user response, which might lead to incorrect or unexpected playbook behavior.


質問 # 53
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. Place restricted playbooks in a second source repository that has restricted access.
  • B. Add a filter block to al restricted playbooks that Titters for runRole - "Admin''.
  • C. Make sure the Execute Playbook capability is removed from al roles except admin.
  • D. Add a tag with restricted access to the restricted playbooks.

正解:C

解説:
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. To ensure that only members of the admin role can execute specific playbooks on the Phantom server, the most effective approach is to manage role-based access controls (RBAC) directly. By configuring the system to remove the
"Execute Playbook" capability from all roles except for the admin role, you can enforce this rule. This method leverages Phantom's built-in RBAC mechanisms to restrict playbook execution privileges. It is a straightforward and secure way to ensure that only users with the necessary administrative privileges can initiate the execution of sensitive or critical playbooks, thus maintaining operational security and control.


質問 # 54
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. Cal the child playbooks getter function.
  • 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. Create artifacts using one playbook and collect those artifacts in another playbook.

正解:D

解説:
Explanation
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.


質問 # 55
When is using decision blocks most useful?

  • A. When modifying downstream data hi one or more paths in the playbook.
  • B. When selecting one (or zero) possible paths in the playbook.
  • C. When processing different data in parallel.
  • D. When evaluating complex, multi-value results or artifacts.

正解:B

解説:
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.


質問 # 56
What values can be applied when creating Custom CEF field?

  • A. Name, Data Type, Severity
  • B. Name, Value
  • C. Name
  • D. Name, Data Type

正解:D

解説:
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.


質問 # 57
On a multi-tenant Phantom server, what is the default tenant's ID?

  • A. 0
  • B. *
  • C. Default
  • D. 1

正解:D

解説:
Explanation
The correct answer is C because the default tenant's ID is 1. The tenant ID is a unique identifier for each tenant on a multi-tenant Phantom server. The default tenant is the tenant that is created when Phantom is installed and contains all the existing data and assets. The default tenant's ID is always 1 and cannot be changed. Other tenants have IDs that are assigned sequentially starting from 2. See Splunk SOAR Documentation for more details.


質問 # 58
In addition to full backups. Phantom supports what other backup type using backup?

  • A. Snapshot
  • B. Differential
  • C. Incremental
  • D. Partial

正解:A

解説:
Explanation
Phantom supports two types of backups: full and snapshot. A full backup creates a complete copy of the Phantom system, including all data, configuration, and apps. A snapshot backup creates a copy of the Phantom system configuration and apps, but not the data. Incremental and differential backups are not supported by Phantom. Reference, page 4.


質問 # 59
Which of the following applies to filter blocks?

  • A. Can be used to select data for use by other blocks.
  • B. Can select containers by seventy or status.
  • C. Can select which blocks have access to container data.
  • D. Can select assets by tenant, approver, or app.

正解:C


質問 # 60
Is it possible to import external Python libraries such as the time module?

  • A. No, but this can be changed by setting the proper permissions.
  • B. Yes. from a drop-down menu.
  • C. Yes, in the global block.
  • D. No.

正解:C

解説:
Explanation
External Python libraries can be imported in the global block of a playbook. The global block is executed once when the playbook is loaded and can be used to define global variables and import modules. The time module is one of the standard Python modules that can be imported in the global block. See Global block for more details.


質問 # 61
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. The steep option for the second playbook is not set to a long enough interval.
  • B. Incorrect Join configuration on the second playbook.
  • C. Synchronous execution has not been configured.
  • D. The first playbook is performing poorly.

正解:B


質問 # 62
Configuring SOAR search to use an external Splunk server provides which of the following benefits?

  • A. The ability to ingest Splunk notable events into SOAR.
  • B. The ability to run more complex reports on SOAR activities.
  • C. The ability to display results as Splunk dashboards within SOAR.
  • D. The ability to automate Splunk searches within SOAR.

正解:D

解説:
Configuring SOAR search to use an external Splunk server allows for the automation of Splunk searches within SOAR. This integration enables Splunk SOAR to leverage the powerful search capabilities of an external Splunk Cloud Platform or Enterprise instance, thereby enhancing the ability to search for Splunk SOAR data using Splunk's search language (SPL). It also facilitates the use of universal forwarders to send SOAR data to your Splunk deployment12. While the other options may be benefits of using Splunk in general, the specific advantage of configuring SOAR search with an external Splunk server is the automation of searches, which can streamline the process of querying and analyzing SOAR data within the Splunk environment12.
References:
Splunk SOAR documentation on configuring search in Splunk SOAR1.
Splunk SOAR documentation on understanding the remote-search service in Splunk App for SOAR2


質問 # 63
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Splunk SPLK-2003 試験は、包括的なセキュリティオーケストレーション、自動化、対応(SOAR)プラットフォームの Splunk Phantom の管理に熟練した個人の能力をテストするように設計されています。この認定は、各自の組織で Splunk Phantom の管理および維持に責任を持つ IT プロフェッショナルを対象としています。試験に合格することにより、候補者は Splunk Phantom の展開、設定、およびトラブルシューティングの専門知識を証明することができます。


SPLK-2003試験は、プレイブックの作成と管理、タスクの自動化、サードパーティ製品との統合、およびSplunk Phantomプラットフォームを使用したインシデントの管理などのトピックをカバーしています。この試験は、60の多肢選択問題から構成される監督付きオンライン試験です。受験者は90分間試験を受けることができ、合格には70%のスコアが必要です。

 

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最適なSPLK-2003試験学習資料と準備材料を提供しています:https://www.jpntest.com/shiken/SPLK-2003-mondaishu

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