Question # 1
| Which configuration must an AI Specialist 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. |
C. Enable Dynamic Forms on Mobile.
Explanation
Context of the Question
Universal Containers (UC) has generative AI–enabled fields that users can access in the desktop experience.
The AI Specialist needs these same fields to be visible and usable in the Salesforce Mobile App.
Why Dynamic Forms on Mobile?
Dynamic Formsallow you to configure record pages so that fields and sections can appear or be hidden based on certain criteria.
When you enable “Dynamic Forms for Mobile,” any generative AI–enabled fields placed on the dynamic layout become accessible in the Salesforce mobile experience.
There is no standard Setup option labeled “Enable Mobile Generative AI” or “Enable Mobile Prompt Responses” as a universal toggle; the existing official approach is to ensure dynamic forms (and the relevant fields) are supported on mobile.
Conclusion
Ensuring that these AI-driven fields are visible on mobile is accomplished by turning onDynamic Forms on Mobileand adding those fields to the dynamic layout. Therefore, Option Cis correct.
Salesforce AI Specialist References & Documents
Salesforce Documentation:Dynamic Forms OverviewExplains how to enable Dynamic Forms for both desktop and mobile UIs, allowing newly added fields (including generative AI–enabled ones) to display in the Salesforce Mobile App.
Salesforce AI Specialist Study GuideReiterates that to expose generative AI fields or components in mobile, you must configure dynamic forms and ensure compatibility on mobile layouts.
Question # 2
A sales rep at Universal Containers is extremely busy and sometimes will have very long sales calls on voice and video calls and might miss key details. They are just starting to adopt new generative AI features.
Which Einstein Generative AI feature should an AI Specialist recommend to help the rep get the details they might have missed during a conversation? | | A. Call Summary | | B. Call Explorer | | C. Sales Summary |
A. Call Summary
Explanation: For a sales rep who may miss key details during long sales calls, the AI
Specialist should recommend the Call Summary feature. Call Summary uses Einstein
Generative AI to automatically generate a concise summary of important points discussed
during the call, helping the rep quickly review the key information they might have missed.
Call Explorer is designed for manually searching through call data but doesn't summarize.
Sales Summary is focused more on summarizing overall sales activity, not call specific content.
For more details, refer to Salesforce's Call Summary documentation on how AI generated
summaries can improve sales rep productivity.
Question # 3
| An AI Specialist is considering using a Field Generation prompt template type. What should the AI Specialist check before creating the Field Generation prompt to ensure it is possible for the field to be enabled for generative AI? | | A. That the field chosen must be a rich text field with 255 characters or more. | | B. That the org is set to API version 59 or higher | | C. That the Lightning page layout where the field will reside has been upgraded to Dynamic Forms |
B. That the org is set to API version 59 or higher
Explanation:
Before creating a Field Generation prompt template, the AI Specialist must ensure that the Salesforce org is set to API version 59 or higher. This version of the API introduces support for advanced generative AI features, such as enabling fields for generative AI outputs. This is a critical technical requirement for the Field Generation prompt template to function correctly.
Option A (rich text field requirement) is not necessary for generative AI functionality.
Option C (Dynamic Forms) does not impact the ability of a field to be generative AI-enabled, although it might enhance the user interface.
Question # 4
Universal Containers (UC) is building a Flex prompt template. UC needs to use data returned by the flow in the prompt template.
Which flow element should UC use?
| | A. Add Flex Instructions | | B. Add Prompt Instructions | | C. Add Flow Instructions |
C. Add Flow Instructions
Question # 5
Universal Containers (UC) uses Salesforce Service Cloud to support its customers and agents handling cases. UC is considering implementing Einstein Copilot and extending Service Cloud to mobile users.
When would Einstein Copilot implementation be most advantageous? | | A. When the goal is to streamline customer support processes and improve response times | | B. When the main objective is to enhance data security and compliance measures | | C. When the focus is on optimizing marketing campaigns and strategies |
A. When the goal is to streamline customer support processes and improve response times
Explanation: Einstein Copilot implementation would be most advantageous in Salesforce
Service Cloud when the goal is to streamline customer support processes and improve response times. Einstein Copilot can assist agents by providing real-time suggestions, automating repetitive tasks, and generating contextual responses, thus enhancing service efficiency.
Option B (data security)is not the primary focus of Einstein Copilot, which is more about improving operational efficiency.
Option C (marketing campaigns)falls outside the scope of Service Cloud and Einstein Copilot’s primary benefits, which are aimed at improving customer service and case management.
For further reading, refer to Salesforce documentation on Einstein Copilot for Service Cloud and how it improves support processes.
Question # 6
| Universal Containers wants to incorporate the current order fulfillment status into a prompt for a large
language model (LLM). The order status is stored in the external enterprise resource planning (ERP) system.
Which data grounding technique should the AI Specialist recommend? | | A. Eternal Object Record Merge Fields | | B. External Services Merge Fields | | C. Apex Merge Fields |
A. Eternal Object Record Merge Fields
Context of the Requirement: Universal Containers wants to pull in real-time order status data from an
external ERP system into an LLM prompt.
Data Grounding in LLM Prompts: Data grounding ensures the Large Language Model has access to
the most current and relevant information. In Salesforce, one recommended approach is to use External
(via Salesforce Connect) when data Objects resides outside of Salesforce.
Why External Object Record Merge Fields:-
External Objects appear much like standard or custom objects but map to tables in external
systems.
-
You can reference fields from these External Objects in merge fields, allowing real-time data
retrieval from the external ERP system without storing that data natively in Salesforce.
-
This is a simpler “point-and-reference” approach compared to coding custom Apex or
configuring external services for direct prompt embedding.
Why Not External Services Merge Fields or Apex Merge Fields:-
External Services Merge Fields typically leverage flows or external service definitions. While
feasible, it is more about orchestrating or invoking external services for automation (e.g., Flow).
It’s not the standard approach for seamlessly referencing external record data in prompt merges.
-
Apex Merge Fields would imply custom Apex code controlling the prompt insertion. While
possible, it’s less “clicks not code” friendly and is not the default method for referencing typical
record data.
Question # 7
Universal Containers has an active standard email prompt template that does not fully
deliver on the business requirements.
Which steps should an AI Specialist take to use the content of the standard prompt email
template in question and customize it to fully meet the business requirements? | | A. Save as New Template and edit as needed. | | B. Clone the existing template and modify as needed. | | C. Save as New Version and edit as needed. |
B. Clone the existing template and modify as needed.
Explanation: When an active standard email prompt template doesn’t meet the business
requirements, the best approach is to clone the existing template and modify it as needed.
Cloning allows the AI Specialist to preserve the original template while making adjustments
to fit specific business needs. This ensures that any customizations are applied without
altering the original standard template.
Saving as a new version is typically used for versioning changes in the same template,
while Save as New Template creates a brand-new template without linking to the existing
one. Cloning provides a balance, allowing modifications while retaining the original structure
for future reference.
For more details, refer to Salesforce Prompt Builder documentation for guidance on cloning and modifying templates.
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FAQs of Salesforce-AI-Specialist Exam
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Answer: The Salesforce AI Specialist exam tests your knowledge of integrating AI into Salesforce platforms to enhance customer experiences.
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Answer: Study Guides- Utilize the official Salesforce study guide and practice by taking Practice Questions using reliable sources like RealBraindumps.
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Answer: Yes, you can retake, but you need to wait 14 days and pay a retake fee.
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Answer: The key topic areas include Einstein Trust Layer, Generative AI in CRM Applications, Prompt Builder, Einstein Copilot, and Model Builder.
How does Salesforce Einstein work?
Answer: Salesforce Einstein integrates AI capabilities into Salesforce, offering tools like Sales emails, Service replies, Einstein Copilot, Prompt Builder, and more.
What are the key topic areas covered in the Salesforce AI Specialist exam?
Answer: The Salesforce AI Specialist exam covers the following key areas: 1. Einstein Trust Layer (15%), 2. Generative AI in CRM Applications (17%), 3. Prompt Builder (37%), 4. Einstein Copilot (23%), 5. and Model Builder (8%).
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