NEW AGENTFORCE-SPECIALIST BRAINDUMPS SHEET & NEW AGENTFORCE-SPECIALIST TEST NOTES

New Agentforce-Specialist Braindumps Sheet & New Agentforce-Specialist Test Notes

New Agentforce-Specialist Braindumps Sheet & New Agentforce-Specialist Test Notes

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Tags: New Agentforce-Specialist Braindumps Sheet, New Agentforce-Specialist Test Notes, New Agentforce-Specialist Dumps Book, Agentforce-Specialist Training For Exam, Detailed Agentforce-Specialist Study Dumps

As candidates don't know what to expect on the Salesforce Certified Agentforce Specialist exam, and they have to prepare for the unknown. In this case, candidates can take Salesforce Agentforce-Specialist practice test to get help with their Salesforce Agentforce-Specialist exam preparation. The real Agentforce-Specialist exam dumps by VCETorrent give them an idea of the Salesforce Certified Agentforce Specialist Agentforce-Specialist Exam structure so that they can prepare accordingly. The Salesforce Agentforce-Specialist PDF Questions and practice tests by VCETorrent play a big role in your Salesforce Agentforce-Specialist exam success.

Salesforce Agentforce-Specialist Exam Syllabus Topics:

TopicDetails
Topic 1
  • Agentforce and Sales Cloud: This section assesses the skills of AI Developers and covers identifying the correct generative AI features in Agentforce for Sales Cloud scenarios. It also includes determining when to use Agentforce Sales Agents, such as Sales Development Representatives (SDRs) and Sales Coaches.
Topic 2
  • Agentforce and Service Cloud: This section measures the skills of AI Engineers and focuses on building agents that answer questions based on Knowledge articles and connecting them to digital channels. It also covers identifying the correct generative AI features in Agentforce for Service Cloud scenarios.
Topic 3
  • Agentforce Concepts: This section assesses the skills of AI Engineers and covers how Agentforce works, including its reasoning engine, standard and custom topics, agent actions, and user security management. It also includes testing and deploying agents from sandbox to production environments.
Topic 4
  • Prompt Engineering: This section measures the skills of AI Developers and focuses on prompt engineering techniques. It covers identifying when to use Prompt Builder, managing prompt templates, selecting appropriate grounding techniques, and explaining the process for creating and executing prompt templates.
Topic 5
  • Agentforce and Data Cloud: This section measures the skills of AI Developers and addresses how Agentforce integrates with Data Cloud to improve response accuracy and personalize answers. It involves grounding with retrievers in Data Cloud to enhance agent performance.

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Salesforce Certified Agentforce Specialist Sample Questions (Q202-Q207):

NEW QUESTION # 202
An Agentforce Specialist needs to create a prompt template to fill a custom field named Latest Opportunities Summary on the Account object with information from the three most recently opened opportunities. How should the Agentforce Specialist gather the necessary data for the prompt template?

  • A. Select the Account Opportunity object as a resource when creating the prompt template.
  • B. Select the latest Opportunities related list as a merge field.
  • C. Create a flow to retrieve the opportunity information.

Answer: C

Explanation:
Comprehensive and Detailed In-Depth Explanation:In Salesforce Agentforce, a prompt template designed to populate a custom field (like "Latest Opportunities Summary" on the Account object) requires dynamic data to be fed into the template for AI to generate meaningful output. Here, the task is to gather data from the three most recently opened opportunities related to an account. The most robust and flexible way to achieve this is by using aFlow(Option B). Salesforce Flows allow the Agentforce Specialist to define logic to query the Opportunity object, filter for the three most recent opportunities (e.g., using a Get Records element with a sort by CreatedDate descending and a limit of 3), and pass this data as variables into the prompt template. This approach ensures precise control over the data retrieval process and can handle complex filtering or sorting requirements.
* Option A: Selecting the "latest Opportunities related list as a merge field" is not a valid option in Agentforce prompt templates. Merge fields can pull basic field data (e.g., {!Account.Name}), but they don't natively support querying or aggregating related list data like the three most recent opportunities.
* Option C: There is no "Account Opportunity object" in Salesforce; this seems to be a misnomer (perhaps implying the Opportunity object or a junction object). Even if interpreted as selecting the Opportunity object as a resource, prompt templates don't directly query related objects without additional logic (e.g., a Flow), making this incorrect.
* Option B: Flows integrate seamlessly with prompt templates via dynamic inputs, allowing the Specialist to retrieve and structure the exact data needed (e.g., Opportunity Name, Amount, Close Date) for the AI to summarize.
Thus, Option B is the correct method to gather the necessary data efficiently and accurately.
References:
* Salesforce Agentforce Documentation: "Integrate Flows with Prompt Templates" (Salesforce Help:
https://help.salesforce.com/s/articleView?id=sf.agentforce_flow_prompt_integration.htm&type=5)
* Trailhead: "Build Flows for Agentforce"(https://trailhead.salesforce.com/content/learn/modules/flows- for-agentforce)


NEW QUESTION # 203
Universal Containers (UC) wants to enable its sales team to use AI to suggest recommended products from its catalog. Which type of prompt template should UC use?

  • A. Email generation prompt template
  • B. Flex prompt template
  • C. Record summary prompt template

Answer: B

Explanation:
Comprehensive and Detailed In-Depth Explanation:UC needs an AI solution to suggest products from a catalog for its sales team. Let's assess the prompt template types in Prompt Builder.
* Option A: Record summary prompt templateRecord summary templates generate concise summaries of records (e.g., Case, Opportunity). They're not designed for product recommendations, which require dynamic logic beyond summarization, making this incorrect.
* Option B: Email generation prompt templateEmail generation templates craft emails (e.g., customer outreach). While they could mention products, they're not optimized for standalone recommendations, making this incorrect.
* Option C: Flex prompt templateFlex prompt templates are versatile, allowing custom inputs (e.g., catalog data from objects or Data Cloud) and instructions (e.g., "Suggest products based on customer preferences"). This flexibility suits UC's need to recommend products dynamically, making it the correct answer.
Why Option C is Correct:Flex templates offer the customization needed to suggest products from a catalog, aligning with Salesforce's guidance for tailored AI outputs.
References:
* Salesforce Agentforce Documentation: Prompt Builder > Flex Templates- Details dynamic use cases.
* Trailhead: Build Prompt Templates in Agentforce- Covers Flex for custom scenarios.
* Salesforce Help: Prompt Template Types- Confirms Flex versatility.


NEW QUESTION # 204
Universal Containers is evaluating Einstein Generative AI features to improve the productivity of the service center operation.
Which features should theAgentforce Specialistrecommend?

  • A. Service Replies and Case Summaries
  • B. Reply Recommendations and Sales Summaries
  • C. Service Replies and Work Summaries

Answer: A

Explanation:
To improve the productivity of the service center, theAgentforce Specialistshould recommend theService RepliesandCase Summariesfeatures.
* Service Replieshelps agents by automatically generating suggested responses to customer inquiries, reducing response time and improving efficiency.
* Case Summariesprovide a quick overview of case details, allowing agents to get up to speed faster on customer issues.
* Work Summariesare not as relevant for direct customer service operations, andSales Summariesare focused on sales processes, not service center productivity.
For more information, seeSalesforce's Einstein Service Cloud documentationon the use of generative AI to assist customer service teams.


NEW QUESTION # 205
An Agentforce at Universal Containers (UC) is building with no-code tools only. They have many small accounts that are only touched periodically by a specialized sales team, and UC wants to maximize the sales operations team's time. UC wants to help prep the sales team for the calls by summarizing past purchases, interests in products shown by the Contact captured via Data Cloud, and a recap of past email and phone conversations for which there are transcripts.
Which approach should the Agentforce Specialist recommend to achieve this use case?

  • A. Fine-Tune the standard foundational model due to the complexity of the data.
  • B. Use a prompt template grounded on CRH and Data Cloud data using standard foundation model.
  • C. Deploy UC's own custom foundational model on this data first.

Answer: B

Explanation:
For no-code implementations, Prompt Builder allows Agentforce Specialists to create prompt templates that dynamically ground responses in Salesforce CRM data (e.g., past purchases) and Data Cloud insights (e.
g., product interests) without custom coding. The standard foundation model (e.g., Einstein GPT) can synthesize this data into summaries, leveraging structured and unstructured sources (e.g., email/phone transcripts). Fine-tuning (B) or custom models (C) require code and are unnecessary here, as the use case does not involve unique data patterns requiring model retraining.


NEW QUESTION # 206
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 predefined Apex retriever class that can be edited by a developer to meet specific needs.
  • C. A retriever that shares the name of the custom search index.

Answer: C

Explanation:
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.


NEW QUESTION # 207
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