[Q22-Q41] Splunk SPLK-2003認証された練習解答、必ずあなたを試験合格させる！[2024]

Splunk SPLK-2003認証された練習解答、必ずあなたを試験合格させる！[2024]

有効な合格方法Splunk SOAR Certified Automation DeveloperのSPLK-2003試験問題集

Splunk SPLK-2003試験は、Splunk Phantomを使用する個人にとって貴重な認定です。試験は、複雑な環境でSplunk Phantomを管理および維持する候補者の知識とスキルをテストします。認定は、求職者に競争上の優位性を提供し、セキュリティのオーケストレーション、自動化、およびレスポンスにおける個人の専門知識を検証します。

 

質問 # 22
When configuring a Splunk asset for SOAR to connect to a Splunk Cloud instance, the user discovers that they need to be able to run two different on_poll searches. How is this possible?

• A. Configure the second query in the Splunk App for SOAR Export.
• B. Install a second Splunk app and configure the query in the second app.
• C. Configure a second Splunk asset with the second query.
• D. Enter the two queries in the asset as comma separated values.

正解：C

解説：
In Splunk SOAR, when needing to run multiple on_poll searches to a Splunk Cloud instance, the recommended approach is to configure a second Splunk asset specifically for the second query. This method allows each Splunk asset to maintain its own settings and query configurations, ensuring that each search can be managed and optimized independently. This separation also helps in troubleshooting and maintaining clarity in the configuration.
Option A, installing a second Splunk app, is not necessarily relevant as the app itself does not determine the number of queries but rather how they are managed and processed through assets.
Option B, configuring the second query in the Splunk App for SOAR Export, does not apply as this app typically handles data exportation from SOAR to Splunk, not managing multiple polling queries.
Option C, entering the two queries as comma-separated values, would not be practical or functional as Splunk SOAR's asset configuration does not process multiple queries in this manner for polling purposes.
When configuring a Splunk asset for SOAR to connect to a Splunk Cloud instance and there is a need to run two different on_poll searches, the appropriate action is to configure a second Splunk asset with the second query. This allows each Splunk asset to have its own unique on_poll search configuration, enabling them to run independently and retrieve different sets of data as required. The other options, such as installing a second app or entering queries as comma-separated values, are not standard practices for managing multiple on_poll searches in Splunk SOAR1.
References:Splunk SOAR documentation on configuring search in Splunk SOAR1.

質問 # 23
Which of the following actions will store a compressed, secure version of an email attachment with suspected malware for future analysis?

• A. Copy/paste the attachment into a note.
• B. Add a link to the file in a new artifact.
• C. Use the Upload action of the Secure Store app to store the file in the database.
• D. Use the Files tab on the Investigation page to upload the attachment.

正解：C

解説：
To securely store a compressed version of an email attachment suspected of containing malware for future analysis, the most effective approach within Splunk SOAR is to use the Upload action of the Secure Store app.
This app is specifically designed to handle sensitive or potentially dangerous files by securely storing them within the SOAR database, allowing for controlled access and analysis at a later time. This method ensures that the file is not only safely contained but also available for future forensic or investigative purposes without risking exposure to the malware. Options A, B, and C do not provide the same level of security and functionality for handling suspected malware files, making option D the most appropriate choice.
Secure Store app is a SOAR app that allows you to store files securely in the SOAR database. The Secure Store app provides two actions: Upload and Download. The Upload action takes a file as an input and stores it in the SOAR database in a compressed and encrypted format. The Download action takes a file ID as an input and retrieves the file from the SOAR database and decrypts it. The Secure Store app can be used to store files that contain sensitive or malicious data, such as email attachments with suspected malware, for future analysis.
Therefore, option D is the correct answer, as it states the action that will store a compressed, secure version of an email attachment with suspected malware for future analysis. Option A is incorrect, because copying and pasting the attachment into a note will not store the file securely, but rather expose the file content to anyone who can view the note. Option B is incorrect, because adding a link to the file in a new artifact will not store the file securely, but rather create a reference to the file location, which may not be accessible or reliable.
Option C is incorrect, because using the Files tab on the Investigation page to upload the attachment will not store the file securely, but rather store the file in the SOAR file system, which may not be encrypted or compressed.
1: Web search results from search_web(query="Splunk SOAR Automation Developer store email attachment with suspected malware")

質問 # 24
Which is the primary system requirement that should be increased with heavy usage of the file vault?

• A. Amount of memory.
• B. Amount of storage.
• C. Number of processors.
• D. Bandwidth of network.

正解：B

解説：
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.

質問 # 25
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.

正解：D

解説：
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.

質問 # 26
What values can be applied when creating Custom CEF field?

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

正解：B

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 # 27
Is it possible to import external Python libraries such as the time module?

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

正解：A

解説：
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.

質問 # 28
Which two playbook blocks can discern which path in the playbook to take next?

• A. Filter and decision blocks.
• B. Prompt and decision blocks.
• C. Decision and action blocks.
• D. Filter and prompt blocks.

正解：B

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 # 29
After a successful POST to a Phantom REST endpoint to create a new object what result is returned?

• A. The new object ID.
• B. The PostGres UUID.
• C. The full CEF name.
• D. The new object name.

正解：B

質問 # 30
A user selects the New option under Sources on the menu. What will be displayed?

• A. A list of new events.
• B. A list of new data sources.
• C. A list of new assets.
• D. The New Data Ingestion wizard.

正解：D

解説：
Selecting the New option under Sources in the Splunk SOAR menu typically initiates the New Data Ingestion wizard. This wizard guides users through the process of configuring new data sources for ingestion into the SOAR platform. It is designed to streamline the setup of various data inputs, such as event logs, threat intelligence feeds, or notifications from other security tools, ensuring that SOAR can receive and process relevant security data efficiently. This feature is crucial for expanding SOAR's monitoring and response capabilities by integrating diverse data sources. Options A, C, and D do not accurately describe what is displayed when the New option under Sources is selected, making option B the correct choice.
New Data Ingestion wizard allows you to create a new data source for Splunk SOAR (On-premises) by selecting the type of data, the ingestion method, and the configuration options. The other options are incorrect because they do not match the description of the New option under Sources on the menu. For example, option A refers to a list of new assets, which is not related to data ingestion. Option C refers to a list of new data sources, which is not what the New option does. Option D refers to a list of new events, which is not the same as creating a new data source.

質問 # 31
Which of the following are examples of things commonly done with the Phantom REST APP

• A. Use Django queries; use curl to create a container and add artifacts to it; add action blocks.
• B. Use SQL queries; use curl to create a container and add artifacts to it; remove temporary lists.
• C. Use Django queries; use Docker to create a container and add artifacts to it; remove temporary lists.
• D. Use Django queries; use curl to create a container and add artifacts to it; remove temporary lists.

正解：A

質問 # 32
How can a child playbook access the parent playbook's action results?

• A. Child playbooks can access parent playbook data while the parent Is still running.
• B. The parent can create an artifact with the data needed by the did.
• C. When configuring the playbook block in the parent, add the desired results in the Scope parameter.
• D. By setting scope to ALL when starting the child.

正解：C

解説：
In Splunk Phantom, child playbooks can access the action results of a parent playbook through the use of the Scope parameter. When a parent playbook calls a child playbook, it can pass certain data along by setting the Scope parameter to include the desired action results. This parameter is configured within the playbook block that initiates the child playbook. By specifying the appropriate scope, the parent playbook effectively determines what data the child playbook will have access to, allowing for a more modular and organized flow of information between playbooks.

質問 # 33
Which of the following will show all artifacts that have the term results in a filePath CEF value?

• A. .../result/artifacts/cef/filePath= '%results%''
• B. ...rest/artifacts/filePath=''%results%''
• C. .../rest/artifact?_filter_cef_filePath_icontain=''results''
• D. .../result/artifact?_query_cef_filepath_icontains=''results

正解：C

解説：
The correct answer is A because the _filter parameter is used to filter the results based on a field value, and the icontain operator is used to perform a case-insensitive substring match. The filePath field is part of the Common Event Format (CEF) standard, and the cef_ prefix is used to access CEF fields in the REST API. The answer B is incorrect because it uses the wrong syntax for the REST API. The answer C is incorrect because it uses the wrong endpoint (result instead of artifact) and the wrong syntax for the REST API. The answer D is incorrect because it uses the wrong syntax for the REST API and the wrong spelling for the icontains operator.
Reference: Splunk SOAR REST API Guide, page 18.
To query and display all artifacts that contain the term "results" in a filePath CEF (Common Event Format) value, using the REST API endpoint with a filter parameter is effective. The filter
_filter_cef_filePath_icontain="results" is applied to search within the artifact data for filePath fields that contain the term "results", disregarding case sensitivity. This method allows users to precisely locate and work with artifacts that meet specific criteria, aiding in the investigation and analysis processes within Splunk SOAR.

質問 # 34
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. Non-null IP addresses
• B. Null values
• C. Non-null destinationAddresses
• D. Null IP addresses

正解：A

解説：
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.

質問 # 35
When configuring a Splunk asset for SOAR to connect to a Splunk Cloud 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 Splunk App for SOAR Export.
• C. Install a second Splunk app and configure the query in the second app.
• D. Configure a second Splunk asset with the second query.

正解：A

解説：
In Splunk SOAR, if a user needs to run two different on_poll searches for a Splunk Cloud instance, the way to achieve this is to configure a second Splunk asset specifically for the second query. Each asset can be configured with its own on_poll search, allowing multiple searches to be run at their respective intervals. This method provides flexibility and ensures that each search can be managed and configured individually.
The correct way to run two different on_poll searches from a Splunk Cloud instance to Splunk SOAR is to configure a second Splunk asset with the second query. Each Splunk asset in Splunk SOAR can only have one query for the on_poll event, which defines which events to pull in and when to pull them in1. Therefore, if you need to run two different queries, you need to create two separate Splunk assets and configure them with the respective queries. The other options are either not possible or not effective for this purpose. For example:
*Installing a second Splunk app in Splunk SOAR will not help, as the app is just a container for the actions and assets, not the source of the data2.
*Configuring the second query in the Splunk App for SOAR Export will not work, as this app is used to forward events from the Splunk platform to Splunk SOAR, not to pull them in3.
*Entering the two queries in the asset as comma separated values will not work, as the asset will only accept one valid query for the on_poll event1.

質問 # 36
After enabling multi-tenancy, which of the Mowing is the first configuration step?

• A. Configure the default tenant.
• B. Select the associated tenant artifacts.
• C. Set default tenant base address.
• D. Change the tenant permissions.

正解：A

解説：
Explanation
The correct answer is D because the first configuration step after enabling multi-tenancy is to configure the default tenant. Multi-tenancy is a feature that allows you to create multiple logical partitions of Phantom data and assets for different groups of users. The default tenant is the tenant that is created when Phantom is installed and contains all the existing data and assets. You need to configure the default tenant's name, description, base address, and logo before creating other tenants. See Splunk SOAR Documentation for more details.

質問 # 37
When working with complex data paths, which operator is used to access a sub-element inside another element?

• A. !(pipe)
• B. .(dot)
• C. *(asterisk)
• D. :(colon)

正解：B

解説：
Explanation
The correct answer is D because the dot (.) operator is used to access a sub-element inside another element when working with complex datapaths. For example, if the datapath is container['artifacts'][0]['cef']['sourceAddress'], the dot operator is used to access the sourceAddress sub-element inside the cef element. The answer A is incorrect because the pipe (!) operator is used to chain multiple filters or functions when working with complex datapaths. For example, if the datapath is container['artifacts'][0]['cef']['sourceAddress']!startswith('10.'), the pipe operator is used to apply the startswith function to the sourceAddress element. The answer B is incorrect because the asterisk (*) operator is used to iterate over all the elements of an array when working with complex datapaths. For example, if the datapath is container['artifacts'][*]['cef']['sourceAddress'], the asterisk operator is used to access the sourceAddress element of all the artifacts in the container. The answer C is incorrect because the colon (:) operator is used to specify a range of elements in an array when working with complex datapaths. For example, if the datapath is container['artifacts'][0:5]['cef']['sourceAddress'], the colon operator is used to access the sourceAddress element of the first five artifacts in the container. Reference: Splunk SOAR Playbook Development Guide, page 28.

質問 # 38
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 80 and TCP 443.
• B. TCP 8088 and TCP 8099.
• C. TCP 8080 and TCP 8191.
• D. Splunk Cloud is not supported.

正解：B

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 # 39
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. Create artifacts using one playbook and collect those artifacts in another playbook.
• D. Use the Handle method to pass data directly between playbooks.

正解：C

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 # 40
What users are included in a new installation of SOAR?

• A. The admin and automation users are included by default.
• B. No users are included by default.
• C. Only the admin user is included by default.
• D. The admin, power, and user users are included by default.

正解：A

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 # 41
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Splunk SPLK-2003事前試験練習テストはGoShiken：https://www.goshiken.com/Splunk/SPLK-2003-mondaishu.html

SPLK-2003練習テスト問題、解答、解釈：https://drive.google.com/open?id=1ekEWIduUNpaipzS23ckcUJJzrIVs79TC