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Free Salesforce-AI-Specialist Exam Braindumps (page: 16)

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PDF with 152 Questions

An Al Specialist is tasked with configuring a generative model to create personalized sales emails using customer data stored in Salesforce. The AI
Specialist has already fine-tuned a large language model (LLM) on the OpenAI platform. Security and data privacy are critical concerns for the client.
How should the AI Specialist integrate the custom LLM into Salesforce?

  1. Create an application of the custom LLM and embed it in Sales Cloud via iFrame.
  2. Add the fine-tuned LLM in Einstein Studio Model Builder.
  3. Enable model endpoint on OpenAl and make callouts to the model to generate emails.

Answer(s): B

Explanation:

Since security and data privacy are critical, the best option for the AI Specialist is to integrate the fine-tuned LLM (Large Language Model) into Salesforce by adding it to Einstein Studio Model Builder. Einstein Studio allows organizations to bring their own AI models (BYOM), ensuring the model is securely managed within Salesforce's environment, adhering to data privacy standards. Option A (embedding via iFrame) is less secure and doesn't integrate deeply with Salesforce's data and security models.
Option C (making callouts to OpenAI) raises concerns about data privacy, as sensitive Salesforce data would be sent to an external system.
Einstein Studio provides the most secure and seamless way to integrate custom AI models while maintaining control over data privacy and compliance. More details can be found in Salesforce's Einstein Studio documentation on integrating external models.



What should an AI Specialist consider when using related list merge fields in a prompt template associated with an Account object in Prompt Builder?

  1. The Activities related list on the Account object is not supported because it is a polymorphic field.
  2. If person accounts have been enabled, merge fields will not be available for the Account object.
  3. Prompt generation will yield no response when there is no related list associated with an Account in runtime.

Answer(s): A

Explanation:

When using related list merge fields in a prompt template associated with the Account object in Prompt Builder, the Activities related list is not supported due to it being a polymorphic field. Polymorphic fields can reference multiple different types of objects, which makes them incompatible with some merge field operations in prompt generation. Option B is incorrect because person accounts do not limit the availability of merge fields for the Account object.
Option C is irrelevant since even if no related lists are available at runtime, the prompt can still generate based on other available data fields.
For more information, refer to Salesforce documentation on supported fields and limitations in Prompt Builder.



Universal Containers (UC) wants to use the Draft with Einstein feature in Sales Cloud to create a personalized introduction email.
After creating a proposed draft email, which predefined adjustment should UC choose to revise the draft with a more casual tone?

  1. Make Less Formal
  2. Enhance Friendliness
  3. Optimize for Clarity

Answer(s): A

Explanation:

When Universal Containers uses the Draft with Einstein feature in Sales Cloud to create a personalized email, the predefined adjustment to Make Less Formal is the correct option to revise the draft with a more casual tone. This option adjusts the wording of the draft to sound less formal, making the communication more approachable while still maintaining professionalism. Enhance Friendliness would make the tone more positive, but not necessarily more casual. Optimize for Clarity focuses on making the draft clearer but doesn't adjust the tone. For more details, see Salesforce documentation on Einstein-generated email drafts and tone adjustments.



Universal Containers recently launched a pilot program to integrate conversational AI into its CRM business operations with Einstein Copilot.
How should the AI Specialist monitor Copilot's usability and the assignment of actions?

  1. Run a report on the Platform Debug Logs.
  2. Query the Copilot log data using the metadata API.
  3. Run Einstein Copilot Analytics.

Answer(s): C

Explanation:

To monitor Einstein Copilot's usability and the assignment of actions, the AI Specialist should run Einstein Copilot Analytics. This feature provides insights into how often Copilot is used, the types of actions it is handling, and overall user engagement with the system. It's the most effective way to track Copilot's performance and usage patterns.
Platform Debug Logs are not relevant for tracking user behavior or the assignment of Copilot actions. Querying the Copilot log data via the Metadata API would not provide the necessary insights in a structured manner.
For more details, refer to Salesforce's Copilot Analytics documentation for tracking AI-driven interactions.






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