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Free Salesforce-AI-Specialist Exam Braindumps (page: 17)

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PDF with 152 Questions

Universal Containers (UC) is experimenting with using public Generative AI models and is familiar with the language required to get the information it needs. However, it can be time consuming for both UC's sales and service reps to type in the prompt to get the information they need, and ensure prompt consistency.
Which Salesforce feature should a Salesforce AI Specialist recommend to address these concerns?

  1. Einstein Recommendation Builder
  2. Einstein Copilot Action: Query Records
  3. Einstein Prompt Builder and Prompt Templates

Answer(s): C

Explanation:

For Universal Containers (UC), to reduce the time and ensure prompt consistency when using public generative AI models, the recommended feature is Einstein Prompt Builder and Prompt Templates. This feature allows teams to create reusable and consistent prompts for generative AI tasks, ensuring that all users receive uniform responses without having to type in detailed prompts manually every time.
Einstein Prompt Builder simplifies the creation of prompts, and Prompt Templates standardize the inputs, saving time for sales and service reps.
Option A (Einstein Recommendation Builder) is more focused on recommendations, not prompt standardization.

Option B (Einstein Copilot Action: Query Records) is for querying records, not generating AI-driven prompts.


Reference:

Salesforce Prompt Builder Overview:
https://help.salesforce.com/s/articleView?id=sf.prompt_builder_overview.htm



Universal Containers tests out a new Einstein Generative AI feature for its sales team to create personalized and contextualized emails for its customers. Sometimes, users find that the draft email contains placeholders for attributes that could have been derived from the recipient's contact record.
What is the most likely explanation for why the draft email shows these placeholders?

  1. The user does not have Einstein Sales Emails permission assigned.
  2. The user does not have permission to access the fields.
  3. The user's locale language is not supported by Prompt Builder.

Answer(s): B

Explanation:

When using Einstein Generative AI to create personalized emails, if placeholders appear in the draft email where data from a recipient's Contact record should be, the most likely reason is that the user lacks permission to access the necessary fields. Salesforce's field-level security may prevent users from viewing or utilizing certain data fields, resulting in placeholders being shown instead of the actual values.
Option B is correct because missing field permissions will cause placeholders in email drafts. Option A (missing Einstein Sales Emails permission) is unlikely, as this would prevent email generation altogether, not just placeholders.
Option C (locale language issues) would more likely affect language-specific issues, not field placeholders.


Reference:

Salesforce Email Template and Permissions Documentation:
https://help.salesforce.com/s/articleView?id=sf.email_templates_field_permissions.htm



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?

  1. 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.
  2. Create concise, clear, and consistent prompt templates with effective grounding, contextual role- playing, clear instructions, and iterative feedback.
  3. Submit a prompt review case to Salesforce and conduct thorough testing In the playground to refine outputs until they meet user expectations.

Answer(s): B

Explanation:

For Universal Containers (UC) to refine its Generative AI prompt design strategy and improve the accuracy of the generated summaries for the custom object Guest, the best practice is to focus on crafting concise, clear, and consistent prompt templates. This includes:
Effective grounding: Ensuring the prompt pulls data from the correct sources. Contextual role-playing: Providing the AI with a clear understanding of its role in generating the summary.
Clear instructions: Giving unambiguous directions on what to include in the response. Iterative feedback: Regularly testing and adjusting prompts based on user feedback. Option B is correct because it follows industry best practices for refining prompt design. Option A (prompt test mode) is useful but less relevant for refining prompt design itself. Option C (prompt review case with Salesforce) would be more appropriate for technical issues or complex prompt errors, not general design refinement.


Reference:

Salesforce Prompt Design Best Practices:
https://help.salesforce.com/s/articleView?id=sf.prompt_design_best_practices.htm



An AI Specialist needs to create a Sales Email with a custom prompt template. They need to ground on the following data.
Opportunity Products Events near the customer Tone and voice examples How should the AI Specialist obtain related items?

  1. Call prompt initiated flow to fetch and ground the required data.
  2. Create a flex template that takes the records in question as inputs.
  3. Utilize a standard email template and manually insert the required data fields.

Answer(s): A

Explanation:

To ground a sales email on Opportunity Products, Events near the customer, and Tone and voice examples, the AI Specialist should use a prompt-initiated flow. This flow can dynamically fetch the necessary data from related records in Salesforce and ground the generative AI output with contextually accurate information.
Option B (flex template) does not provide the ability to fetch dynamic data from Salesforce records automatically.
Option C (manual insertion) would not allow for the dynamic and automated grounding of data required for custom prompts.
Refer to Salesforce documentation on flows and grounding for more details on integrating data into custom prompt templates.






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