SALESFORCE AGENTFORCE-SPECIALIST DUMP FILE - TESTKING AGENTFORCE-SPECIALIST EXAM QUESTIONS

Salesforce Agentforce-Specialist Dump File - Testking Agentforce-Specialist Exam Questions

Salesforce Agentforce-Specialist Dump File - Testking Agentforce-Specialist Exam Questions

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Tags: Agentforce-Specialist Dump File, Testking Agentforce-Specialist Exam Questions, Agentforce-Specialist Reliable Test Objectives, Agentforce-Specialist Study Guide, Agentforce-Specialist Valid Test Papers

The Salesforce world has become so competitive and challenging. To say updated and meet the challenges of the market you have to learn new in-demand skills and upgrade your knowledge. With the Salesforce Agentforce-Specialist Certification Exam everyone can do this job nicely and quickly. The Salesforce Certified Agentforce Specialist (Agentforce-Specialist) certification exam offers a great opportunity to validate the skills and knowledge.

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 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 3
  • 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 4
  • 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 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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In addition to our Agentforce-Specialist exam questions, we also offer a Salesforce Practice Test engine. This engine contains real Agentforce-Specialist practice questions designed to help you get familiar with the actual Salesforce Certified Agentforce Specialist (Agentforce-Specialist) pattern. Our Salesforce Certified Agentforce Specialist (Agentforce-Specialist) exam practice test engine will help you gauge your progress, identify areas of weakness, and master the material.

Salesforce Certified Agentforce Specialist Sample Questions (Q32-Q37):

NEW QUESTION # 32
Universal Containers (UC) wants to use the Draft with Einstein feature in Sales Cloud to create a personalized introduction email.
After creating a proposed draft email, which predefined adjustment should UC choose to revise the draft with a more casual tone?

  • A. Optimize for Clarity
  • B. Make Less Formal
  • C. Enhance Friendliness

Answer: B

Explanation:
WhenUniversal Containersuses theDraft with Einsteinfeature inSales Cloudto create a personalized email, the predefined adjustment toMake Less Formalis the correct option to revise the draft with a more casual tone. This option adjusts the wording of the draft to sound less formal, making the communication more approachable while still maintaining professionalism.
* Enhance Friendlinesswould make the tone more positive, but not necessarily more casual.
* Optimize for Clarityfocuses on making the draft clearer but doesn't adjust the tone.
For more details, seeSalesforce documentation on Einstein-generated email draftsand tone adjustments.


NEW QUESTION # 33
An Agentforce implements Einstein Sales Emails for a sales team. The team wants to send personalized follow-up emails to leads based on their interactions and data stored in Salesforce. TheAgentforce Specialistneeds to configure the system to use the most accurate and up-to-date information for email generation.
Which grounding technique should theAgentforce Specialistuse?

  • A. Ground with Apex Merge Fields
  • B. Automatic grounding using Draft with Einstein feature
  • C. Ground with Record Merge Fields

Answer: B

Explanation:
ForEinstein Sales Emailsto generate personalized follow-up emails, it is crucial to ground the email content with the most up-to-date and accurate information. Grounding refers to connecting the AI model with real- time data. The most appropriate technique in this case isGround with Record Merge Fields. This method ensures that the content in the emails pulls dynamic and accurate data directly from Salesforce records, such as lead or contact information, ensuring the follow-up is relevant and customized based on the specific record.
* Record Merge Fieldsensure the generated emails are highly personalized using data like lead name, company, or other Salesforce fields directly from the records.
* Apex Merge Fieldsare typically more suited for advanced, custom logic-driven scenarios but are not the most straightforward for this use case.
* Automatic grounding using Draft with Einsteinis a different feature where Einstein automatically drafts the email, but it does not specifically ground the content with record-specific data likeRecord Merge Fields.
References:
* Salesforce Einstein Sales Emails Documentation:https://help.salesforce.com/s/articleView?id=release- notes.rn_einstein_sales_emails.htm


NEW QUESTION # 34
TheAgentforce Specialistof Northern Trail Outfitters reviewed the organization's data masking settings within the Configure Data Masking menu within Setup. Upon assessing all of the fields, a few additional fields were deemed sensitive and have been masked within Einstein's Trust Layer.
Which steps should theAgentforce Specialisttake upon modifying the masked fields?

  • A. Turn on Einstein Feedback so that end users can report if there are any negative side effects on AI features.
  • B. Turn off the Einstein Trust Layer and turn it on again.
  • C. Test and confirm that the responses generated from prompts that utilize the data and masked data do not adversely affect the quality of the generated response

Answer: C

Explanation:
After modifying masked fields inEinstein's Trust Layer, the next important step is totest and confirmthat the responses generated by prompts utilizing the newly masked data still meet quality standards. This ensures that masking sensitive information does not negatively impact the usefulness or accuracy of the AI-generated content. Thorough testing helps identify any issues in prompt performance that could arise due to masking, and adjustments can be made if needed.
* Option Bis correct because testing the effects of masking on AI responses is a critical step in ensuring AI continues to function as expected.
* Option A(turning off and on the Einstein Trust Layer) is unnecessary after changing the masked fields.
* Option C(turning on Einstein Feedback) allows for user feedback but is not a direct step following field masking modifications.
References:
* Salesforce Einstein Trust Layer Overview:https://help.salesforce.com/s/articleView?id=sf.
einstein_trust_layer.htm


NEW QUESTION # 35
What is the importance of Action Instructions when creating a custom Agent action?

  • A. Action Instructions tell the user how to call this action in a conversation.
  • B. Action Instructions tell the large language model (LLM) which action to use.
  • C. Action Instructions define the expected user experience of an action.

Answer: C

Explanation:
Comprehensive and Detailed In-Depth Explanation:In Salesforce Agentforce, custom Agent actions are designed to enable AI-driven agents to perform specific tasks within a conversational context.Action Instructionsare a critical component when creating these actions because they define the expected user experience by outlining how the action should behave, what it should accomplish, and how it interacts with the end user. These instructions act as a blueprint for the action's functionality, ensuring that it aligns with the intended outcome and provides a consistent, intuitive experience for users interacting with the agent. For example, if the action is to "schedule a meeting," the Action Instructions might specify the steps (e.g., gather date and time, confirm with the user) and the tone (e.g., professional, concise), shaping the user experience.
* Option B: While Action Instructions might indirectly influence how a user invokes an action (e.g., by making it clear what inputs are needed), they are not primarily about telling the user how to call the action in a conversation. That's more related to user training or interface design, not the instructions themselves.
* Option C: The large language model (LLM) relies on prompts, parameters, and grounding data to determine which action to execute, not the Action Instructions directly. The instructions guide the action's design, not the LLM's decision-making process at runtime.
Thus, Option A is correct as it emphasizes the role of Action Instructions in defining the user experience, which is foundational to creating effective custom Agent actions in Agentforce.
References:
* Salesforce Agentforce Documentation: "Create Custom Agent Actions" (Salesforce Help:https://help.
salesforce.com/s/articleView?id=sf.agentforce_custom_actions.htm&type=5)
* Trailhead: "Agentforce Basics" module (https://trailhead.salesforce.com/content/learn/modules
/agentforce-basics)


NEW QUESTION # 36
Universal Containers (UC) plans to automatically populate the Description field on the Account object.
Which type of prompt template should UC use?

  • A. Sales Email prompt template
  • B. Field Generation prompt template
  • C. Flex Prompt template

Answer: B

Explanation:
* Context of the QuestionUniversal Containers (UC) wants to automatically populate the Description field on the Account object. The AI-driven solution must generate textual data and write it directly into a field.
* Field Generation Prompt Template
* Primary Use Case: A Field Generation prompt template is specifically designed to create or fill in fields on a record with AI-generated text.
* Auto-population: By configuring a Field Generation prompt template, admins can define the instructions, data inputs, and desired output for the AI. The resulting text then populates the specified field, such as the Account Description.
* Why Not Flex or Sales Email Prompt Templates?
* Flex Prompt Template: Used to combine or manipulate data across objects, merges, or references from multiple sources in more advanced, flexible prompts. Typically not the go-to for straightforward text generation on a single field.
* Sales Email Prompt Template: Focused on drafting or summarizing emails for sales reps (like crafting outreach or follow-up messages). This template is not specifically built to populate a field on a record.
* ConclusionFor automatically populating the Description field with AI-generated content, theField Generation prompt template(Option A) is the correct choice.
SalesforceAgentforce SpecialistReferences & Documents
* Salesforce Documentation:Prompt Template TypesExplains various template types (Field Generation, Flex, Email, etc.) and their typical use cases.
* SalesforceAgentforce SpecialistStudy GuideHighlights Field Generation prompt templates for populating or updating record fields with AI-generated text.


NEW QUESTION # 37
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