SALESFORCE SALESFORCE-AI-SPECIALIST VERIFIED ANSWERS, SALESFORCE-AI-SPECIALIST VALID TEST TUTORIAL

Salesforce Salesforce-AI-Specialist Verified Answers, Salesforce-AI-Specialist Valid Test Tutorial

Salesforce Salesforce-AI-Specialist Verified Answers, Salesforce-AI-Specialist Valid Test Tutorial

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Salesforce Certified AI Specialist Exam Sample Questions (Q130-Q135):

NEW QUESTION # 130
Universal Containers (UC) wants to use Flow to bring data from unified Data Cloud objects to prompt templates.
Which type of flow should UC use?

  • A. Template-triggered prompt flow
  • B. Data Cloud-triggered flow
  • C. Unified-object linking flow

Answer: A

Explanation:
In this scenario, Universal Containers wants to bring data from unified Data Cloud objects into prompt templates, and the best way to do that is through a Data Cloud-triggered flow. This type of flow is specifically designed to trigger actions based on data changes within Salesforce Data Cloud objects.
Data Cloud-triggered flows can listen for changes in the unified data model and automatically bring relevant data into the system, making it available for prompt templates. This ensures that the data is both real-time and up-to-date when used in generative AI contexts.
For more detailed guidance, refer to Salesforce documentation on Data Cloud-triggered flows and Data Cloud integrations with generative AI solutions.


NEW QUESTION # 131
Leadership needs to populate a dynamic form field with a summary or description created by a large language model (LLM) to facilitate more productive conversations with customers. Leadership also wants to keep a human in the loop to be considered in their AI strategy.
Which prompt template type should the AI Specialist recommend?

  • A. Field Generation
  • B. Record Summary
  • C. Sales Email

Answer: A

Explanation:
The correct answer is Field Generation because this template type is designed to dynamically populate form fields with content generated by a large language model (LLM). In this scenario, leadership wants a dynamic form field that contains a summary or description generated by AI to aid customer interactions. Additionally, they want to keep a human in the loop, meaning the generated content will likely be reviewed or edited by a person before it's finalized, which aligns with the Field Generation prompt template.
Field Generation: This prompt type allows you to generate content for specific fields in Salesforce, leveraging large language models to create dynamic and contextual information. It ensures that AI content is available within the record where needed, but it allows human oversight or review, supporting the "human-in-the-loop" strategy.
Sales Email: This prompt type is mainly used for generating email content for outreach or responses, which doesn't align directly with populating fields in a form.
Record Summary: While this option might seem close, it is typically used to summarize entire records for high-level insights rather than filling specific fields with dynamic content based on AI generation.
Salesforce AI Specialist Reference:
You can explore more about these prompt templates and AI capabilities through Salesforce documentation and official resources on Prompt Builder: https://help.salesforce.com/s/articleView?id=sf.prompt_builder_templates_overview.htm


NEW QUESTION # 132
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, whichis the system of record for the order fulfillment process.
How should an AI Specialist apply the power of conversational AI to thisuse case?

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

Answer: B

Explanation:
To enableUniversal Containersservice agents to query the current fulfillment status of an order using natural language and leverage an existing auto-launched flow that queries Oracle ERP, the best solution is tocreate a custom copilot action that calls the flow. This action will allowEinstein Copilotto interact with the flow and retrieve the required order fulfillment information seamlessly. Custom copilot actions can be tailored to call various backend systems or flows in response to user requests.
* Option Bis correct because it enables integration betweenEinstein Copilotand the flow that connects to Oracle ERP.
* Option A(Flex prompt template) is more suited for static responses and not for invoking flows.
* Option C(Integration Flow Standard Action) is not directly related to creating a specific copilot action for this use case.
References:
* Salesforce Einstein Copilot Actions:https://help.salesforce.com/s/articleView?
id=einstein_copilot_actions.htm


NEW QUESTION # 133
Universal Containers implemented Agentforce for its users. One user complains that an Agent is not deleting activities from the past 7 days. What is the reason for this issue?

  • A. Agentforce does not have the permission to delete the user's records.
  • B. Agentforce Delete Record Action permission is not associated to the user.
  • C. Agentforce does not have a standard Delete Record action.

Answer: C

Explanation:
* Context of the QuestionUniversal Containers (UC) uses Agentforce, a specialized AI-driven assistant for Salesforce. A user reports that an Agent is unable to delete recent activities.
* Why Agentforce Cannot Delete Records
* Agentforce's Standard Actions: Agentforce typically has predefined or "standard" actions like Create, Update, or Summarize records. However, a standard Delete Record action is not part of the default set of Agentforce actions.
* Implication: If Agentforce has no built-in delete functionality, it cannot remove activities-even if the user has permission to delete them in the Salesforce UI.
* Why Other Options Are Incorrect
* Option A - Permission to Delete the User's Records: Standard Salesforce user permissions do not automatically extend to Agentforce's capabilities. Even if the user can delete records, that doesn't grant Agentforce a new action.
* Option B - Agentforce Delete Record Action Permission: There is no separate "Delete Record Action permission" for Agentforce to be toggled. The relevant issue is that the standard Delete Record action does not exist within Agentforce out of the box.
* ConclusionThe core reason for the issue is thatAgentforce does not support a standard Delete Record action(Choice C).
Salesforce AI Specialist References & Documents
* Salesforce Official Documentation - Agentforce(Note: Agentforce may be a pilot or specialized feature; check pilot release notes or official docs for standard actions.)
* Salesforce AI Specialist Study GuideCovers the limitations of certain AI-enabled features regarding record operations.


NEW QUESTION # 134
An AI Specialist at Universal Containers (UC) is building with no-code tools only. They have many small accounts that are only touched periodically by a specialized sales team, and UC wants to maximize the sales operations team's time. UC wants to help prep the sales team for the calls by summarizing past purchases, interests in products shown by the Contact captured via Data Cloud, and a recap of past email and phone conversations for which there are transcripts.
Which approach should the AI Specialist recommend to achieve this use case?

  • A. Deploy UC's own custom foundational model on this data first.
  • B. Fine-Tune the standard foundational model due to the complexity of the data.
  • C. Use a prompt template grounded on CRH and Data Cloud data using standard foundation model.

Answer: C

Explanation:
For no-code implementations, Prompt Builder allows AI Specialists to create prompt templates that dynamically ground responses in Salesforce CRM data (e.g., past purchases) and Data Cloud insights (e.g., product interests) without custom coding. The standard foundation model (e.g., Einstein GPT) can synthesize this data into summaries, leveraging structured and unstructured sources (e.g., email/phone transcripts). Fine- tuning (B) or custom models (C) require code and are unnecessary here, as the use case does not involve unique data patterns requiring model retraining.


NEW QUESTION # 135
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