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| Exam Code: | Agentforce-Specialist |
| Exam Name: | Salesforce Certified Agentforce Specialist |
| Certification Provider: | Salesforce |
| Free Question Number: | 81 |
| Version: | v2025-08-12 |
| Rating: | |
| # of views: | 3138 |
| # of Questions views: | 85705 |
| Go To Agentforce-Specialist Questions | |
Recent Comments (The most recent comments are at the top.)
No.# C is the right answer
The business requirement has two key components: Prediction/Classification and Explainability.
Classification Task (Prediction): The task is to select one of three predefined emails based on input data (Customer Lifetime Value score and market segment). This is a classification problem, which falls under Predictive AI. A predictive model (like a Decision Tree or Logistic Regression) would output the probability of which email is the best fit (the "selection").
Explainability Requirement: The requirement to explain why the email was selected is the strongest indicator. Predictive AI models in Salesforce (specifically Einstein Discovery) are built with Explainable AI (XAI) capabilities that provide:
Reasons: The top predictors (e.g., "Email 1 was chosen because CLV is high and segment is 'Enterprise'").
Suggestions: Recommendations on how to change the input data to influence a different outcome.
Generative models (A and B) are primarily used to create novel content (drafting the email text itself) and often lack the inherent explainability required for auditability and understanding why a specific decision (the selection of which email to send) was made.
Therefore, the Predictive Model is necessary for the classified decision and its required explanation....
No.# The correct preparation required is B. Create a field set for all the fields to be grounded.
While the user interface (UI) considerations for the Record Snapshots grounding feature in Prompt Builder are complex, the essential, explicit preparation step for controlling the actual data payload for grounding is the Field Set.
Field Set (B): This is the correct metadata component used to define a specific, curated collection of fields that the Agentforce Specialist wants to use for grounding the prompt. It provides precise control over which fields are retrieved and sent to the LLM for summarization or generation, ensuring data quality and managing token limits.
Page Layout (A): The Record Snapshots feature does consult the page layout to determine which related lists and a few other elements to pull, but the customization and specific field selection is formally managed by the Field Set when available. In the context of core preparation, the Field Set is often the required object configuration.
Dynamic Forms (C): Dynamic Forms are required for displaying the generative AI icon on a field for Field Generation prompt templates, but the Record Snapshots grounding feature itself is governed by the underlying metadata structure (Page Layout/Field Set), not the Dynamic Forms UI feature....
No.# The specific use case that necessitates the use of Prompt Builder is A. Creating a draft of a support bulletin post for new product patches 📝.
Rationale
Prompt Builder is the low-code tool in Salesforce used to create and manage Generative AI content. Its primary purpose is text creation, summarization, and content generation.
A. Creating a draft of a support bulletin post... This is a Generative AI task. Prompt Builder is necessary to create a Flex Template or a custom Field Generation prompt that can take technical data (from Case records, Knowledge articles, etc.) and generate a clear, branded, professional-quality draft of a bulletin post for a public or internal audience.
B. Creating an AI-generated customer support agent performance score: This is a Predictive AI or Analytics task. It would be handled by tools like Einstein Discovery or CRM Analytics, which calculate a numerical score based on historical data and algorithms.
C. Estimating support ticket volume based on historical data and seasonal trends: This is a Predictive AI or Forecasting task. It is typically handled by Einstein Prediction Builder or specialized forecasting models in Data Cloud....
No.# Agreed. it's C.
No.# Agree. A is the correct answer
No.# C is the correct Answer!
The correct prerequisite check the Agentforce Specialist should perform is C. That the Lightning page layout where the field will reside has been upgraded to Dynamic Forms
The Field Generation prompt template type is designed to generate text that populates a field on a Lightning Record Page. To enable the generative AI icon and functionality directly on the field, the page must meet the modern component criteria:
Dynamic Forms Requirement (C): For a field to be available for generative AI output via a Field Generation prompt template, it must be placed within a Field Section component on a Lightning Record Page that has been upgraded to Dynamic Forms. This is a specific technical prerequisite for the feature's visibility and function.
Why the Other Options are Incorrect:
A. That the field chosen must be a rich text field with 255 characters or more: T
he field must be a long text area or rich text area, but the character limit of "255 characters or more" is irrelevant or too low, as these fields typically support thousands of characters to accommodate AI-generated content.
B. That the org is set to API version 59 or higher:
While the generative AI features themselves were introduced in a specific API version (e.g., 58.0 or 59.0 for related features), this is a general platform requirement. The specific, final step to make the field functional on the UI is the Dynamic Forms configuration....
No.# The correct step is A. Save as New Template and edit as needed.
In Salesforce's Prompt Builder, standard prompt templates (like the Sales Email template) are essentially read-only to ensure the integrity of the out-of-the-box functionality. To modify and customize the content or instructions of a standard template, you must first create a copy that you can edit.
Save as New Template (A):
This action (or sometimes labeled Save As) is the mechanism used to clone the content and structure of the existing standard template into a new Custom Prompt Template. This new template is fully editable, allowing the Agentforce Specialist to add specific instructions, change the tone, or incorporate new grounding fields to meet the unique business requirements.
Why the Other Options are Incorrect
B. Clone the existing template and modify as needed:
This is functionally identical to "Save as New Template," but Save as New Template or simply Save As is the term used in the Prompt Builder interface when editing a standard template for the first time.
C. Save as New Version and edit as needed:
The ability to create a "New Version" is generally available only for Custom Prompt Templates that you have already created. Standard templates cannot be versioned; they must be saved as a new, custom template first....
No.# Agreed. C. Temperature
No.# Correct answer us C. Call Explorer.
The feature that provides insights about competitor mentions and coaching opportunities is
No.# The right answer is B. Empty data, such as fields without values or sections without limits, is filtered out.
Rationale for Option B
The primary design goal of the Record Snapshots grounding feature in Prompt Builder is efficiency and token optimization.
Filtering Empty Data (B): This is a key action the platform takes to ensure the prompt sent to the Large Language Model (LLM) is concise and effective. The system automatically filters out fields or sections that are null or empty to avoid wasting valuable LLM token capacity on non-contextual data. This saves costs and improves the speed and quality of the AI's generated response.
Why Option A is Often Tested But Less Accurate
Exclusion of Activities (A): While it is True that Tasks and Events (Activities) are generally not included in the standard Record Snapshot (they must be pulled via other means like Flows), the context of the question often points to the optimization/filtering rule that saves resources, which is the filtering of empty data (B). Given the conflicting information and the intent of generative AI efficiency questions, B is often the intended correct answer focusing on the system's inherent filtering logic....
No.# The correct type of flow UC should use is B. Template-triggered prompt flow 💡.
The requirement is to execute business logic (retrieve unified Data Cloud objects) and use that logic's output to ground a prompt template.
Template-Triggered Prompt Flow:
This is a specialized Flow type specifically designed to run before a generative AI prompt is executed. Its express purpose is to gather dynamic data and complex context—including data from unified Data Cloud objects—and format it for the Large Language Model (LLM) via the Add Prompt Instructions element. The flow output is then merged into the prompt template.
Why the Other Options are Incorrect
A. Data Cloud-triggered flow: This type of flow is triggered by changes to a record within Data Cloud. It's used for real-time automation (like creating an alert or updating a record) based on data events, but it is not the mechanism used to feed dynamic context into an active prompt template.
C. Unified-object linking flow: This is not a standard, named flow type in Salesforce. Data Cloud objects are accessed in Flow Builder using the standard Get Records element and selecting the Data Model Object (DMO) as the source, usually within a Template-Triggered Prompt Flow....
No.# The correct Einstein Generative AI feature to recommend is A. Einstein Call Summaries
No.# Agreed. Correct answer is B
No.# Agree B is the correct anwer
No.# Agree. Correct answer B
No.# Answer is A
No.# C is the correct answer
When using a standard Related List Merge Field in Prompt Builder to ground a prompt, the system automatically gathers a snapshot of that related data.
Data Source Rule: The specific fields included in the snapshot for the related records (e.g., fields from the Contacts or Opportunities related to the Account) are determined by the fields displayed on the Page Layout of the parent object (Account) that the current user (the user running the Agent/Prompt) has assigned to them.
Limitation: This means if an important field is not on the user's assigned Account page layout's related list section, that field will not be available for the AI to use in the prompt, regardless of whether it exists on the record.
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Why the Other Options are Incorrect
A. After selecting a related list from the Account, use the field picker to choose merge fields in Prompt Builder. This is partially true for selecting the related list, but the available fields are restricted by the page layout (Option C). More importantly, this option describes the action of selecting, not the consideration/rule governing which fields are available, which is the core concern of the auditing team.
B. Prompt Builder must be used to assign the fields from the related list as a JSON format. Prompt Builder automatically converts the related list data into a structured format (like JSON) when inserting it into the prompt for the LLM. The Specialist does not manually assign the format; the platform handles it. Manual JSON formatting is typically reserved for complex scenarios using Apex or Flows....
No.# correct ans : B
https://help.salesforce.com/s/articleView?id=platform.flow_ref_elements_add_prompt.htm&language=en_US&type=5
No.# correct answer A
Record Snapshots uses the fields present on the page layout, don’t need to build a separate field set.
No.# The correct answer is C. Publish product tutorials and guides as Knowledge articles.
This action is required because Agentforce (and other Salesforce generative AI tools) primarily use the Knowledge object as the authoritative source for Retrieval-Augmented Generation (RAG).
Knowledge Articles (C):
By publishing tutorials and guides as Knowledge articles, the content is made available for indexing in the Agentforce Data Library. The Agent's reasoning engine can then perform a semantic search over this indexed content to ground its answers, ensuring the responses provided to support agents are accurate, verifiable, and consistent with the organization's approved documentation.
Prompt Template (A):
Creating a prompt template defines the format and instructions for the AI's question/answer process, but it does not supply the necessary product content. The prompt must still be grounded in a data source, which in this case should be Knowledge.
Custom Field (B):
Adding data to a custom field is a poor and limited method for storing large, structured text like tutorials. It would not be indexed or utilized by the sophisticated RAG architecture the way the official Knowledge object is....