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Salesforce Agentforce-Specialist Exam Dumps

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Description

Exam Name: Salesforce Certified Agentforce Specialist
Exam Code: Agentforce-Specialist
Related Certification(s): Salesforce Agentforce Specialist Certification
Certification Provider: Salesforce
Actual Exam Duration: 105 Minutes
Number of Agentforce-Specialist practice questions in our database: 182

Expected Agentforce-Specialist Exam Topics, as suggested by Salesforce :

  • Topic 1: 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 2: 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 3: 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 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 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.


>>>Some Other Agentforce-Specialist Actual Questions:

Q) 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. Create concise, clear, and consistent prompt templates with effective grounding, contextual role playing, clear instructions, and iterative feedback.
C. Submit a prompt review case to Salesforce and conduct thorough testing In the playground to refine outputs until they meet user expectations.

Answer: B

Q) Universal Containers built a Field Generation prompt template that worked for many records, but users are reporting random failures with token limit errors. What is the cause of the random nature of this error?

A. The template type needs to be switched to Flex to accommodate the variable amount of tokens generated by the prompt grounding.
B. The number of tokens generated by the dynamic nature of the prompt template will vary by record.
C. The number of tokens that can be processed by the LLM varies with total user demand.

Answer: B


Q) Which configuration must An Agentforce complete for users to access generative Al-enabled fields in the Salesforce mobile app?

A. Enable Mobile Generative AI.
B. Enable Mobile Prompt Responses.
C. Enable Dynamic Forms on Mobile.
Answer: A


Q) 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. Ground with Record Merge Fields
C. Automatic grounding using Draft with Einstein feature

Answer: C

Q) After a successful implementation of Agentforce Sates Agent with sales users. Universal Containers now aims to deploy it to the service team. Which key consideration should theAgentforce Specialistkeep in mind for this deployment?

A. Assign the Agentforce for Service permission to the Service Cloud users.
B. Assign the standard service actions to Agentforce Service Agent.
C. Review and test standard and custom Agent topics and actions for Service Center use cases.

Answer: C

Q) Universal Containers (UC) recently rolled out Einstein Generative AI capabilities and has created a custom prompt to summarize case records. Users have reported that the case summaries generated are not returning the appropriate information. What is a possible explanation for the poor prompt performance?

A. The prompt template version is incompatible with the chosen LLM.
B. The data being used for grounding is incorrect or incomplete.
C. The Einstein Trust Layer is incorrectly configured.

Answer: B


Q) What considerations should an Agentforce Specialist be aware of when using Record Snapshots grounding in a prompt template?

A. Activities such as tasks and events are excluded.
B. Empty data, such as fields without values or sections without limits, is filtered out.
C. Email addresses associated with the object are excluded.

Answer: A


Q) An Agentforce Specialist is tasked with analyzing Agent interactions, looking into user inputs, requests, and queries to identify patterns and trends. What functionality allows the Agentforce Specialist to achieve this?

A. Agent Event Logs dashboard.
B. AI Audit and Feedback Data dashboard.
C. User Utterances dashboard.

Answer: C

Q) Universal Containers wants to be able to detect with a high level confidence if content generated by a large language model (LLM) contains toxic language. Which action should an Al Specialist take in the Trust Layer to confirm toxicity is being appropriately managed?
A. Access the Toxicity Detection log in Setup and export all entries where isToxicityDetected is true.
B. Create a flow that sends an email to a specified address each time the toxicity score from the response exceeds a predefined threshold.
C. Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to display toxic responses and their respective scores.

Answer: C


Q) Amid their busy schedules, sales reps at Universal Containers dedicate time to follow up with prospects and existing clients via email regarding renewals or new deals. They spend many hours throughout the week reviewing past communications and details about their customers before performing their outreach. Which standard Agent action helps sales reps draft personalized emails to prospects by generating text based on previous successful communications?

A. Agent Action: Summarize Record
B. Agent Action: Find Similar Opportunities
C. Agent Action: Draft or Revise Sales Email


Q) A SalesforceAgentforce Specialistis reviewing the feedback from a customer about the ineffectiveness of the prompt template. What should theAgentforce Specialistdo to ensure the prompt template’s effectiveness?

A. Monitor and refine the template based on user feedback.
B. Use the Prompt Builder Scorecard to help monitor.
C. Periodically change the templates grounding object.

Answer: A

 

Description

Exam Name: Salesforce Certified Agentforce Specialist
Exam Code: Agentforce-Specialist
Related Certification(s): Salesforce Agentforce Specialist Certification
Certification Provider: Salesforce
Actual Exam Duration: 105 Minutes
Number of Agentforce-Specialist practice questions in our database: 182

Expected Agentforce-Specialist Exam Topics, as suggested by Salesforce :

  • Topic 1: 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 2: 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 3: 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 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 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.


>>>Some Other Agentforce-Specialist Actual Questions:

Q) 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. Create concise, clear, and consistent prompt templates with effective grounding, contextual role playing, clear instructions, and iterative feedback.
C. Submit a prompt review case to Salesforce and conduct thorough testing In the playground to refine outputs until they meet user expectations.

Answer: B

Q) Universal Containers built a Field Generation prompt template that worked for many records, but users are reporting random failures with token limit errors. What is the cause of the random nature of this error?

A. The template type needs to be switched to Flex to accommodate the variable amount of tokens generated by the prompt grounding.
B. The number of tokens generated by the dynamic nature of the prompt template will vary by record.
C. The number of tokens that can be processed by the LLM varies with total user demand.

Answer: B


Q) Which configuration must An Agentforce complete for users to access generative Al-enabled fields in the Salesforce mobile app?

A. Enable Mobile Generative AI.
B. Enable Mobile Prompt Responses.
C. Enable Dynamic Forms on Mobile.
Answer: A


Q) 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. Ground with Record Merge Fields
C. Automatic grounding using Draft with Einstein feature

Answer: C

Q) After a successful implementation of Agentforce Sates Agent with sales users. Universal Containers now aims to deploy it to the service team. Which key consideration should theAgentforce Specialistkeep in mind for this deployment?

A. Assign the Agentforce for Service permission to the Service Cloud users.
B. Assign the standard service actions to Agentforce Service Agent.
C. Review and test standard and custom Agent topics and actions for Service Center use cases.

Answer: C

Q) Universal Containers (UC) recently rolled out Einstein Generative AI capabilities and has created a custom prompt to summarize case records. Users have reported that the case summaries generated are not returning the appropriate information. What is a possible explanation for the poor prompt performance?

A. The prompt template version is incompatible with the chosen LLM.
B. The data being used for grounding is incorrect or incomplete.
C. The Einstein Trust Layer is incorrectly configured.

Answer: B


Q) What considerations should an Agentforce Specialist be aware of when using Record Snapshots grounding in a prompt template?

A. Activities such as tasks and events are excluded.
B. Empty data, such as fields without values or sections without limits, is filtered out.
C. Email addresses associated with the object are excluded.

Answer: A


Q) An Agentforce Specialist is tasked with analyzing Agent interactions, looking into user inputs, requests, and queries to identify patterns and trends. What functionality allows the Agentforce Specialist to achieve this?

A. Agent Event Logs dashboard.
B. AI Audit and Feedback Data dashboard.
C. User Utterances dashboard.

Answer: C

Q) Universal Containers wants to be able to detect with a high level confidence if content generated by a large language model (LLM) contains toxic language. Which action should an Al Specialist take in the Trust Layer to confirm toxicity is being appropriately managed?
A. Access the Toxicity Detection log in Setup and export all entries where isToxicityDetected is true.
B. Create a flow that sends an email to a specified address each time the toxicity score from the response exceeds a predefined threshold.
C. Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to display toxic responses and their respective scores.

Answer: C


Q) Amid their busy schedules, sales reps at Universal Containers dedicate time to follow up with prospects and existing clients via email regarding renewals or new deals. They spend many hours throughout the week reviewing past communications and details about their customers before performing their outreach. Which standard Agent action helps sales reps draft personalized emails to prospects by generating text based on previous successful communications?

A. Agent Action: Summarize Record
B. Agent Action: Find Similar Opportunities
C. Agent Action: Draft or Revise Sales Email


Q) A SalesforceAgentforce Specialistis reviewing the feedback from a customer about the ineffectiveness of the prompt template. What should theAgentforce Specialistdo to ensure the prompt template’s effectiveness?

A. Monitor and refine the template based on user feedback.
B. Use the Prompt Builder Scorecard to help monitor.
C. Periodically change the templates grounding object.

Answer: A

 

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Q1. Universal Containers wants to incorporate CRM data as well-formatted JSON in a prompt to a large language model (LLM). What is an important consideration for this requirement?

A.'CRM data to JSON' checkbox must be selected when creating a prompt template.

B. Apex code can be used to return a JSON formatted merge field.

C. JSON format should be enabled in Prompt Builder Settings.

Correct Answer: B Context of the Question Universal Containers (UC) wants to send well-formatted JSON data in a prompt to a large language model (LLM). The question is about an important technical or design consideration for including CRM data as JSON in that prompt. Why Apex Code for JSON Formatting? Apex to Generate JSON: Salesforce does not have a simple ”checkbox” or single setting to ”convert CRM data to JSON.” Typically, to structure data as JSON in a template, you either: Use an Apex class that queries or processes the data, then returns a JSON string. Use a Flow or formula approach (though complex data structures often require Apex). No Built-In ”Enable JSON Format in Prompt Builder”: Prompt Builder doesn’t have a toggle that automatically transforms data into JSON. Conclusion The practical solution to pass CRM data in JSON format to an LLM is to use Apex code (or a specialized Flow approach) to produce a JSON string, which the prompt can then merge and pass along. Hence, Option B is correct. Salesforce AI Specialist Reference & Documents Salesforce Documentation: Working with JSON in Apex Describes how to serialize and deserialize data using Apex for integration or AI prompts. Salesforce AI Specialist Study Guide Emphasizes the need for custom logic (often in Apex) when complex data transformations (like JSON formatting) are required.

Q2. Which business requirement presents a good use case for leveraging Einstein Prompt Builder?

A.Forecast future sales trends based on historical data.

B. Identify potential high-value leads for targeted marketing campaigns.

C. Send reply to a request for proposal via a personalized email.

Correct Answer: C Context of the Question Einstein Prompt Builder is a Salesforce feature that helps generate text (summaries, email content, responses) using AI models. The question presents three potential use cases, asking which one best fits the capabilities of Einstein Prompt Builder. Einstein Prompt Builder Typical Use Cases Text Generation & Summaries: Great for writing or summarizing content, like responding to an email or generating text for a record field. Why Not Forecast Future Sales Trends or Identify Potential High-Value Leads? (Option A) Forecasting trends typically involves predictive analytics and modeling capabilities found in Einstein Discovery or standard reporting, not generative text solutions. (Option B) Identifying leads for marketing campaigns involves lead scoring or analytics, again an Einstein Discovery or Lead Scoring scenario. Sending a Personalized RFP Email (Option C) is a classic example of using generative AI to compose well-structured, context-aware text. Conclusion Option C (Send reply to a request for proposal via a personalized email) is the best match for Einstein Prompt Builder’s generative text functionality. Salesforce AI Specialist Reference & Documents Salesforce Documentation: Einstein Prompt Builder Overview Highlights how to use Prompt Builder to create and customize text-based responses, especially for email or record fields. Salesforce AI Specialist Study Guide Explains that generative AI features in Salesforce are designed for creating or summarizing text, not for advanced predictive use cases (like forecasting or lead scoring).

Q3. Universal Containers plans to enhance its sales team's productivity using Al. Which specific requirement necessitates the use of Prompt Builder?

A.Predicting the likelihood of customers churning or discontinuing their relationship with the company

B. Creating a draft newsletter for an upcoming tradeshow

C. Creating an estimated Customer Lifetime Value (CLV) with historical purchase data

Correct Answer: B

Q4. Which mechanism within the Einstein Trust Layer helps to ensure that personal data is handled in compliance with data protection regulations like GDPR?

A.Toxicity Scoring

B. Data Masking

C. Prompt Defense

Correct Answer: B

Q5. What is the role of the large language model (LLM) in understanding intent and executing an Agent Action?

A.Identify the best matching topic and actions and correct order of execution

B. Determine a user's topic access and sort actions by priority to be executed

C. Find similar requested topics and provide the actions that need to be executed

Correct Answer: A

Q6. What is the importance of Action Instructions when creating a custom Agent action?

A.Action Instructions define the expected user experience of an action.

B. Action Instructions tell the user how to call this action in a conversation.

C. Action Instructions tell the large language model (LLM) which action to use

Answer: A

Q7. What is the importance of Action Instructions when creating a custom Agent action?

A.Action Instructions define the expected user experience of an action.

B. Action Instructions tell the user how to call this action in a conversation.

C. Action Instructions tell the large language model (LLM) which action to use.

Answer: A

Q8. 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

Answer: C

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