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Agentforce-Specialist模擬解説集 & Agentforce-Specialist教育資料
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Salesforce Agentforce-Specialist 認定試験の出題範囲:
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>> Agentforce-Specialist模擬解説集 <<
試験の準備方法-便利なAgentforce-Specialist模擬解説集試験-最高のAgentforce-Specialist教育資料
SalesforceのAgentforce-Specialist試験に参加するつもりの多くの受験生は就職しました。ほかのたくさんの受験生は生活の中でのことに挑戦しています。だから、我々は受験生の皆さんに一番効果的なSalesforceのAgentforce-Specialist復習方法を提供します。あなたは安心で我々の商品を購入できるために、我々は各バーションのSalesforceのAgentforce-Specialist復習資料のサンプルを提供してあなたに試させます。我々のSalesforceのAgentforce-Specialist復習資料を通して、いろいろな受験生はもうSalesforceのAgentforce-Specialist試験に合格しました。あなたは我々のソフトのメリットを感じられると希望します。
Salesforce Certified Agentforce Specialist 認定 Agentforce-Specialist 試験問題 (Q162-Q167):
質問 # 162
Universal Containers (UC) wants to build an Agentforce Service Agent that provides the latest, active, and relevant policy and compliance information to customers. The agent must:
* Semantically search HR policies, compliance guidelines, and company procedures.
* Ensure responses are grounded on published Knowledge.
* Allow Knowledge updates to be reflected immediately without manual reconfiguration.What should UC do to ensure the agent retrieves the right information?
- A. Manually add policy responses into the AI model to prevent hallucinations.
- B. Enable the agent to search all internal records and past customer inquiries.
- C. Set up an Agentforce Data Library to store and index policy documents for AI retrieval.
正解:C
解説:
Comprehensive and Detailed In-Depth Explanation:UC requires an Agentforce Service Agent to deliver accurate, up-to-date policy and compliance info with specific criteria. Let's evaluate.
* Option A: Enable the agent to search all internal records and past customer inquiries.Searching all records and inquiries risks irrelevant or outdated responses, conflicting with the need for published Knowledge grounding and immediate updates. This lacks specificity, making it incorrect.
* Option B: Set up an Agentforce Data Library to store and index policy documents for AI retrieval.The Agentforce Data Library integrates with Salesforce Knowledge, indexing HR policies, compliance guidelines, and procedures for semantic search. It ensures grounding in published Knowledge articles, and updates (e.g., new article versions) are reflected instantly without reconfiguration, as the library syncs with Knowledge automatically. This meets all UC requirements, making it the correct answer.
* Option C: Manually add policy responses into the AI model to prevent hallucinations.Manually embedding responses into the model isn't feasible-Agentforce uses pretrained LLMs, not custom training. It also doesn't support real-time updates, making this incorrect.
Why Option B is Correct:The Data Library meets all criteria-semantic search, Knowledge grounding, and instant updates-per Salesforce's recommended approach.
References:
* Salesforce Agentforce Documentation: Data Library > Knowledge Integration- Details indexing and updates.
* Trailhead: Build Agents with Agentforce- Covers Data Library for accurate responses.
* Salesforce Help: Grounding with Knowledge- Confirms real-time sync.
質問 # 163
Universal Containers (UC) is looking to improve its sales team's productivity by providing real-time insights and recommendations during customer interactions.
Why should UC consider using Agentforce Sales Agent?
- A. To automate the entire sales process for maximum efficiency
- B. To track customer interactions for future analysis
- C. To streamline the sales process and increase conversion rates
正解:C
解説:
Agentforce Sales Agent provides real-time insights and AI-powered recommendations, which are designed to streamline the sales process and help sales representatives focus on key tasks to increase conversion rates.
It offers features like lead scoring, opportunity prioritization, and proactive recommendations, ensuring that sales teams can interact with customers efficiently and close deals faster.
* Option A: While tracking customer interactions is beneficial, it is only part of the broader capabilities offered by Agentforce Sales Agent and is not the primary objective for improving real-time productivity.
* Option B: Agentforce Sales Agent does not automate the entire sales process but provides actionable recommendations to assist the sales team.
* Option C: This aligns with the tool's core purpose of enhancing productivity and driving sales success.
質問 # 164
What is automatically created when a custom search index is created in Data Cloud?
- A. A dynamic retriever to allow runtime selection of retriever parameters without manual configuration.
- B. A retriever that shares the name of the custom search index.
- C. A predefined Apex retriever class that can be edited by a developer to meet specific needs.
正解:B
解説:
Comprehensive and Detailed In-Depth Explanation:In Salesforce Data Cloud, a custom search index is created to enable efficient retrieval of data (e.g., documents, records) for AI-driven processes, such as grounding Agentforce responses. Let's evaluate the options based on Data Cloud's functionality.
* Option A: A retriever that shares the name of the custom search index.When a custom search index is created in Data Cloud, a correspondingretrieveris automatically generated with the same name as the index. This retriever leverages the index to perform contextual searches (e.g., vector-based lookups) and fetch relevant data for AI applications, such as Agentforce prompt templates. The retriever is tied to the indexed data and is ready to use without additional configuration, aligning with Data Cloud's streamlined approach to AI integration. This is explicitly documented in Salesforce resources and is the correct answer.
* Option B: A dynamic retriever to allow runtime selection of retriever parameters without manual configuration.While dynamic behavior sounds appealing, there's no concept of a "dynamic retriever" in Data Cloud that adjusts parameters at runtime without configuration. Retrievers are tied to specific indexes and operate based on predefined settings established during index creation. This option is not supported by official documentation and is incorrect.
* Option C: A predefined Apex retriever class that can be edited by a developer to meet specific needs.Data Cloud does not generate Apex classes for retrievers. Retrievers are managed within the Data Cloud platform as part of its native AI retrieval system, not as customizable Apex code. While developers can extend functionality via Apex for other purposes, this is not an automatic outcome of creating a search index, making this option incorrect.
Why Option A is Correct:The automatic creation of a retriever named after the custom search index is a core feature of DataCloud's search and retrieval system. It ensures seamless integration with AI tools like Agentforce by providing a ready-to-use mechanism for data retrieval, as confirmed in official documentation.
References:
* Salesforce Data Cloud Documentation: Custom Search Indexes- States that a retriever is auto-created with the same name as the index.
* Trailhead: Data Cloud for Agentforce- Explains retriever creation in the context of search indexes.
* Salesforce Help: Set Up Search Indexes in Data Cloud- Confirms the retriever-index relationship.
質問 # 165
An Agentforce at Universal Containers is trying to set up a new Field Generation prompt template. They take the following steps.
1. Create a new Field Generation prompt template.
2. Choose Case as the object type.
3. Select the custom field AI_Analysis_c as the target field.
After creating the prompt template, theAgentforce Specialistsaves, tests, and activates it. Howsoever, when they go to a case record, the AI Analysis field does not show the (Sparkle) icon on the Edit pencil. When theAgentforce Specialistwas editing the field, it was behaving as a normal field.
Which critical step did theAgentforce Specialistmiss?
- A. They forgot to reactivate the Lightning page layout for the Case object after activating their Field Generation prompt template.
- B. They forgot that the Case Object is not supported for Add generation as Feinstein Service Replies should be used instead.
- C. They forgot to edit the Lightning page layout and associate the field to a prompt template
正解:C
解説:
For Field Generation prompt templates to display the Sparkle icon (indicating AI-generated content), the target field must be explicitly associated with the prompt template on the Lightning page layout. Even if the prompt template is activated, failing to add the field to the page layout and link it to the template will result in the field behaving as a standard field. Salesforce documentationemphasizes that page layout configuration is mandatory to enable AI-driven field interactions.
* Reactivating the layout (A) is unnecessary unless the layout itself was modified after activation.
* Case objects are supported for Field Generation (B is incorrect).
質問 # 166
Universal Containers (UC) has implemented Generative AI within Salesforce to enable summarization of a custom object called Guest. Users have reported mismatches in the generated information.
In refining its prompt design strategy, which key practices should UC prioritize?
- A. Enable prompt test mode, allocate different prompt variations to a subset of users for evaluation, and standardize the most effective model based on performance feedback.
- B. Submit a prompt review case to Salesforce and conduct thorough testing In the playground to refine outputs until they meet user expectations.
- C. Create concise, clear, and consistent prompt templates with effective grounding, contextual role- playing, clear instructions, and iterative feedback.
正解:C
解説:
ForUniversal Containers (UC)to refine itsGenerative AIprompt design strategy and improve the accuracy of the generated summaries for the custom objectGuest, the best practice is to focus on craftingconcise, clear, and consistent prompt templates.This includes:
* Effective grounding: Ensuring the prompt pulls data from the correct sources.
* Contextual role-playing: Providing the AI with a clear understanding of its role in generating the summary.
* Clear instructions: Giving unambiguous directions on what to include in the response.
* Iterative feedback: Regularly testing and adjusting prompts based on user feedback.
* Option Bis correct because it follows industry best practices for refining prompt design.
* Option A(prompt test mode) is useful but less relevant for refining prompt design itself.
* Option C(prompt review case with Salesforce) would be more appropriate for technical issues or complex prompt errors, not general design refinement.
References:
Salesforce Prompt Design Best Practices:https://help.salesforce.com/s/articleView?id=sf.
prompt_design_best_practices.htm
質問 # 167
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