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[General] Valid Exam Agentforce-Specialist Blueprint | Pass Leader Agentforce-Specialist D

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【General】 Valid Exam Agentforce-Specialist Blueprint | Pass Leader Agentforce-Specialist D

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Salesforce Agentforce-Specialist Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 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 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 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 (Q60-Q65):NEW QUESTION # 60
What is the main benefit of using a Knowledge article in an Agentforce Data Library?
  • A. Only the retriever for Knowledge articles allows for agents to access Knowledge from both inside the platform and on a customer's website.
  • B. The retriever for Knowledge articles has better accuracy and performance than the default retriever.
  • C. It provides a structured, searchable repository of approved documents so the agent can retrieve reliable information for each inquiry..
Answer: C
Explanation:
Why is "A structured, searchable repository of approved documents" the correct answer?
Using a Knowledge Article in an Agentforce Data Library ensures that agents can quickly access reliable and pre-approved information during customer interactions.
Key Benefits of Knowledge Articles in an Agentforce Data Library:
* Ensures Information Accuracy and Consistency
* Knowledge articles provide approved, well-structured responses, reducing the risk of misinformation.
* This ensures customer service consistency across different agents.
* Improves Searchability and AI-Grounded Responses
* Articles are indexed and retrieved efficiently by AI-powered search engines.
* AI-generated responses are grounded in accurate, structured knowledge, improving response quality.
* Enhances Customer Support and Agent Productivity
* Agents spend less time searching for information and more time resolving customer inquiries.
* Einstein AI can suggest the most relevant articles based on conversation context.
Why Not the Other Options?
# A. Only the retriever for Knowledge articles allows for agents to access Knowledge from both inside the platform and on a customer's website.
* Incorrect because other retrievers (e.g., standard Salesforce Data Cloud retrievers) can also provide knowledge access.
* Knowledge articles can be accessed via multiple retrieval mechanisms, not just one specific retriever.
# C. The retriever for Knowledge articles has better accuracy and performance than the default retriever.
* Incorrect because retriever accuracy depends on indexing and search configuration, not the article type.
* The default retriever works just as efficiently when properly configured.
Agentforce Specialist References
* Salesforce AI Specialist Material confirms that Knowledge articles provide structured, searchable, and approved information for AI-grounded responses.

NEW QUESTION # 61
Universal Container (UC) has effectively utilized prompt templates to update summary fields on Lightning record pages. An admin now wishes to incorporate similar functionality into UC's automation process using Flow.
How can the admin get a response from this prompt template from within a flow to use as part of UC's automation?
  • A. Invocable Apex
  • B. Flow Action
  • C. Einstein for Flow
Answer: C
Explanation:
1.Context of the Question
oUniversal Container (UC) has used prompt templates to update summary fields on record pages.
oNow, the admin wants to incorporate similar generative AI functionality within a Flow for automation purposes.
2.How to Call a Prompt Template Within a Flow
oFlow Action: Salesforce provides a standard way to invoke generative AI templates or prompts within a Flow step. From the Flow Builder, you can add an "Action" that references the prompt template you created in Prompt Builder.
oOther Options:
Invocable Apex: Possible fallback if there's no out-of-the-box Flow Action available. However, Salesforce is releasing native Flow integration for AI prompts, making custom Apex less necessary.
Einstein for Flow: A broad label for Salesforce's generative AI features within Flow. Under the hood, you typically use a "Flow Action" that points to your prompt.
3.Conclusion
oThe easiest out-of-the-box solution is to use a Flow Action referencing the prompt template. Hence, Option B is correct.
SalesforceAgentforce SpecialistReferences & Documents
*Salesforce Trailhead: Use Prompt Templates in Flow
Demonstrates how to add an Action in Flow that calls a prompt template.
*Salesforce Documentation: Einstein GPT for Flow

NEW QUESTION # 62
Universal Containers' Agent Action includes several Apex classes for the new Agentforce Agent. What is an important consideration when deploying Apex that is invoked by an Agent Action?
  • A. Apex classes invoked by an Agent Action may be deployed with less than 75% test coverage as long as the agent is not activated in production.
  • B. The Apex classes must have at least 75% code coverage from unit tests, and all dependencies must be in the deployment package.
  • C. The Apex classes may bypass the 75% code coverage requirement as long as they are only used by the agent.
Answer: B
Explanation:
Comprehensive and Detailed In-Depth Explanation:
Universal Containers (UC) is using Apex classes within an Agent Action for their Agentforce Agent.
Deploying Apex in Salesforce has specific requirements, especially when tied to Agentforce functionality. Let' s evaluate the options.
* Option A: The Apex classes must have at least 75% code coverage from unit tests, and all dependencies must be in the deployment package.Salesforce enforces a strict requirement that all Apex classes must achieve at least 75% code coverage from unit tests for deployment to production, regardless of their use case (e.g., Agentforce, triggers, or web services). Additionally, when Apex is invoked by an Agent Action (e.g., via a Flow or direct invocation), all dependencies (e.g., referenced classes, objects) must be included in the deployment package to ensure functionality. This is a standard deployment consideration in Salesforce and applies to Agentforce, making this the correct answer.
* Option B: Apex classes invoked by an Agent Action may be deployed with less than 75% test coverage as long as the agent is not activated in production.Salesforce's 75% code coverage requirement is mandatory for production deployment, regardless of whether the agent is activated.
There's no exemption based on activation status-coverage is enforced at the deployment stage. This option is incorrect and contradicts Salesforce's Apex deployment rules.
* Option C: The Apex classes may bypass the 75% code coverage requirement as long as they are only used by the agent.No such bypass exists in Salesforce. The 75% code coverage rule applies universally to all Apex in production, including classes used by Agentforce. Agent-specific usage doesn' t waive this requirement, making this incorrect.
Why Option A is Correct:
The 75% code coverage requirement and inclusion of dependencies are fundamental Salesforce deployment rules, applicable to Apex in Agent Actions. This ensures reliability and functionality in production, as per official documentation.
References:
Salesforce Agentforce Documentation: Agent Builder > Custom Actions > Apex- Notes standard Apex deployment rules apply.
Salesforce Developer Guide: Apex Testing- Confirms 75% coverage requirement.
Trailhead: Deploy Apex Code- Emphasizes coverage and dependencies for production.

NEW QUESTION # 63
For an Agentforce Data Library that contains uploaded files, what occurs once it is created and configured?
  • A. Indexes the uploaded files in a location specified by the user
  • B. Indexes the uploaded files in Salesforce File Storage
  • C. Indexes the uploaded files into Data Cloud
Answer: C
Explanation:
Comprehensive and Detailed In-Depth Explanation:
In Salesforce Agentforce, aData Libraryis a feature that allows organizations to upload files (e.g., PDFs, documents) to be used as grounding data for AI-driven agents. Once the Data Library is created and configured, the uploaded files areindexedto make their content searchable and usable by the AI (e.g., for retrieval-augmented generation or prompt enhancement). The key question is where this indexing occurs.
Salesforce Agentforce integrates tightly withData Cloud, a unified data platform that includes a vector database optimized for storing and indexing unstructured data like uploaded files. When a Data Library is set up, the files are ingested and indexed into Data Cloud's vector database, enabling the AI to efficiently retrieve relevant information from them during conversations or actions.
* Option A: Indexing files in a "location specified by the user" is not a feature of Agentforce Data Libraries. The indexing process is managed by Salesforce infrastructure, not a user-defined location.
* Option B: This is correct. Data Cloud handles the indexing of uploaded files, storing them in its vector database to support AI capabilities like semantic search and content retrieval.
* Option C: Salesforce File Storage (e.g., where ContentVersion records are stored) is used for general file storage, but it does not inherently index files for AI use. Agentforce relies on Data Cloud for indexing, not basic file storage.
Thus, Option B accurately reflects the process after a Data Library is created and configured in Agentforce.
:
Salesforce Agentforce Documentation: "Set Up a Data Library" (Salesforce Help:https://help.salesforce.com/s
/articleView?id=sf.agentforce_data_library.htm&type=5)
Salesforce Data Cloud Documentation: "Vector Database for AI" (https://help.salesforce.com/s/articleView?
id=sf.data_cloud_vector_database.htm&type=5)

NEW QUESTION # 64
Universal Containers wants to use an external large language model (LLM) in Prompt Builder.
What should An Agentforce recommend?
  • A. Use Apex to connect to an external LLM and ground the prompt.
  • B. Use BYO-LLM functionality in Einstein Studio.
  • C. Use Flow and External Services to bring data from an external LLM.
Answer: B
Explanation:
Bring Your Own Large Language Model (BYO-LLM) functionality in Einstein Studio allows organizations to integrate and use external large language models (LLMs) within the Salesforce ecosystem. Universal Containers can leverage this feature to connect and ground prompts with external LLMs, allowing for custom AI model use cases and seamless integration with Salesforce data.
Option B is the correct choice as Einstein Studio provides a built-in feature to work with external models.
Option A suggests using Apex, but BYO-LLM functionality offers a more streamlined solution.
Option C focuses on Flow and External Services, which is more about data integration and isn't ideal for working with LLMs.
Salesforce Einstein Studio BYO-LLM Documentation: https://help.salesforce.com/s/articleView?id=sf.
einstein_studio_llm.htm

NEW QUESTION # 65
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