AGENTFORCE-SPECIALIST FREE DOWNLOAD - AGENTFORCE-SPECIALIST TEST CENTRES

Agentforce-Specialist Free Download - Agentforce-Specialist Test Centres

Agentforce-Specialist Free Download - Agentforce-Specialist Test Centres

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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
  • 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 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
  • 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.
Topic 5
  • 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.

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Salesforce Certified Agentforce Specialist Sample Questions (Q35-Q40):

NEW QUESTION # 35
Universal Containers' current AI data masking rules do not align with organizational privacy and security policies and requirements.
What should An Agentforce recommend to resolve the issue?

  • A. Enable data masking for sandbox refreshes.
  • B. Add new data masking rules in LLM setup.
  • C. Configure data masking in the Einstein Trust Layer setup.

Answer: C

Explanation:
When Universal Containers' AI data masking rules do not meet organizational privacy and security standards, the Agentforce Specialist should configure the data masking rules within the Einstein Trust Layer. The Einstein Trust Layer provides a secure and compliant environment where sensitive data can be masked or anonymized to adhere to privacy policies and regulations.
* Option A, enabling data masking for sandbox refreshes, is related to sandbox environments, which are separate from how AI interacts with production data.
* Option C, adding masking rules in the LLM setup, is not appropriate because data masking is managed through the Einstein Trust Layer, not the LLM configuration.
The Einstein Trust Layer allows for more granular control over what data is exposed to the AI model and ensures compliance with privacy regulations.
Salesforce Agentforce Specialist References:For more information, refer to: https://help.salesforce.com/s
/articleView?id=sf.einstein_trust_layer_data_masking.htm


NEW QUESTION # 36
Universal Containers wants to allow its service agents to query the current fulfillment status of an order with natural language. There is an existing autolaunched flow to query the Information from Oracle ERP, which is the system of record for the order fulfillment process.
How should an Agentforce Specialist apply the power of conversational AI to this use case?

  • A. Configure the Integration Flow Standard Action in Agent Builder.
  • B. Create a Flex prompt template in Prompt Builder.
  • C. Create a custom Agent action which calls a flow.

Answer: C

Explanation:
Why is "Create a custom Agent action which calls a flow" the correct answer?
In Agentforce, the best way to allow service agents to query order fulfillment status from an external system (Oracle ERP) using natural language is to create a custom Agent action that invokes an existing autolaunched flow.
Key Considerations for This Approach:
* Custom Agent Action Triggers the Flow
* A custom Agent action is designed to call Salesforce flows, enabling external system integration.
* The flow retrieves real-time fulfillment data from Oracle ERP and returns results to the agent.
* Enables AI-Powered Query Execution
* The Agent can understand natural language and map user utterances to the correct Agent action.
* This ensures that agents receive accurate order fulfillment updates quickly.
* No Need for Manual Data Entry
* Instead of manually searching Oracle ERP, agents can query fulfillment status using AI-powered Agentforce workflows.
Why Not the Other Options?
# B. Configure the Integration Flow Standard Action in Agent Builder
* Incorrect because Integration Flow Standard Actions are for predefined use cases, not custom ERP integrations.
* They do not provide the flexibility needed to connect with Oracle ERP dynamically.
# C. Create a Flex Prompt Template in Prompt Builder
* Incorrect because Flex prompts are used for structuring AI-generated responses, not executing queries on external systems.
* This approach does not enable the AI to retrieve live fulfillment status from Oracle ERP.
Agentforce Specialist References
* Salesforce AI Specialist Material confirms that custom Agent actions allow integration with external systems through Salesforce flows.
* Salesforce Instructions for Certification mention that Agentforce supports custom Agent actions for external data retrieval.


NEW QUESTION # 37
Universal Containers wants to reduce overall customer support handling time by minimizing the time spent typing routine answers for common questions in-chat, and reducing the post-chat analysis by suggesting values for case fields. Which combination of Agentforce for Service features enables this effort?

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

Answer: C

Explanation:
Comprehensive and Detailed In-Depth Explanation:Universal Containers (UC) aims to streamline customer support by addressing two goals: reducing in-chat typing time for routine answers and minimizing post-chat analysis by auto-suggesting case field values. In Salesforce Agentforce for Service,Einstein Reply RecommendationsandCase Classification(Option A) are the ideal combination to achieve this.
* Einstein Reply Recommendations: This feature uses AI to suggest pre-formulated responses based on chat context, historical data, and Knowledge articles. By providing agents with ready-to-use replies for common questions, it significantly reduces the time spent typing routine answers, directly addressing UC's first goal.
* Case Classification: This capability leverages AI to analyze case details (e.g., chat transcripts) and suggest values for case fields (e.g., Subject, Priority, Resolution) during or after the interaction. By automating field population, it reduces post-chat analysis time, fulfilling UC's second goal.
* Option B: While "Einstein Reply Recommendations" is correct for the first part, "Case Summaries" generates a summary of the case rather than suggesting specific field values. Summaries are useful for documentation but don't directly reduce post-chat field entry time.
* Option C: "Einstein Service Replies" is not a distinct, documented feature in Agentforce (possibly a distractor for Reply Recommendations), and "Work Summaries" applies more to summarizing work orders or broader tasks, not case field suggestions in a chat context.
* Option A: This combination precisely targets both in-chat efficiency (Reply Recommendations) and post-chat automation (Case Classification).
Thus, Option A is the correct answer for UC's needs.
References:
* Salesforce Agentforce Documentation: "Einstein Reply Recommendations" (Salesforce Help:
https://help.salesforce.com/s/articleView?id=sf.einstein_reply_recommendations.htm&type=5)
* Salesforce Agentforce Documentation: "Case Classification" (Salesforce Help:https://help.salesforce.
com/s/articleView?id=sf.case_classification.htm&type=5)
* Trailhead: "Agentforce for Service" (https://trailhead.salesforce.com/content/learn/modules/agentforce- for-service)


NEW QUESTION # 38
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. Flex Prompt template
  • C. Field Generation prompt template

Answer: C

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 # 39
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 streamline the sales process and increase conversion rates
  • C. To track customer interactions for future analysis

Answer: B

Explanation:
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.


NEW QUESTION # 40
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