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Free Salesforce-AI-Specialist Exam Braindumps (page: 11)

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PDF with 152 Questions

Universal Containers (UC) is using Einstein Generative AI to generate an account summary. UC aims to ensure the content is safe and inclusive, utilizing the Einstein Trust Layer's toxicity scoring to assess the content's safety level.
What does a safety category score of 1 indicate in the Einstein Generative Toxicity Score?

  1. Not safe
  2. Safe
  3. Moderately safe

Answer(s): B

Explanation:

In the Einstein Trust Layer, the toxicity scoring system is used to evaluate the safety level of content generated by AI, particularly to ensure that it is non-toxic, inclusive, and appropriate for business contexts. A toxicity score of 1 indicates that the content is deemed safe. The scoring system ranges from 0 (unsafe) to 1 (safe), with intermediate values indicating varying degrees of safety. In this case, a score of 1 means that the generated content is fully safe and meets the trust and compliance guidelines set by the Einstein Trust Layer. For further reference, check Salesforce's official Einstein Trust Layer documentation regarding toxicity scoring for AI-generated content.



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?

  1. Save as New Template and edit as needed.
  2. Clone the existing template and modify as needed.
  3. Save as New Version and edit as needed.

Answer(s): A

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.



The marketing team at Universal Containers is looking for a way personalize emails based on customer behavior, preferences, and purchase history.
Why should the team use Einstein Copilot as the solution?

  1. To generate relevant content when engaging with each customer
  2. To analyze past campaign performance
  3. To send automated emails to all customers

Answer(s): A

Explanation:

Einstein Copilot is designed to assist in generating personalized, AI-driven content based on customer data such as behavior, preferences, and purchase history. For the marketing team at Universal Containers, this is the perfect solution to create dynamic and relevant email content. By leveraging Einstein Copilot, they can ensure that each customer receives tailored communications, improving engagement and conversion rates.
Option A is correct as Einstein Copilot helps generate real-time, personalized content based on comprehensive data about the customer.
Option B refers more to Einstein Analytics or Marketing Cloud Intelligence, and Option C deals with automation, which isn't the primary focus of Einstein Copilot.


Reference:

Salesforce Einstein Copilot Overview:
https://help.salesforce.com/s/articleView?id=einstein_copilot_overview.htm



Universal Containers wants to use an external large language model (LLM) in Prompt Builder.
What should an AI Specialist recommend?

  1. Use Apex to connect to an external LLM and ground the prompt.
  2. Use BYO-LLM functionality in Einstein Studio,
  3. Use Flow and External Services to bring data from an external LLM.

Answer(s): B

Explanation:

Bring Your Own Large Language Model (BYO-LLM) functionality in Einstein Studio allows organizations to integrate and use external large language models (LLMs) within the Salesforce ecosystem. Universal Containers can leverage this feature to connect and ground prompts with external LLMs, allowing for custom AI model use cases and seamless integration with Salesforce data.

Option B is the correct choice as Einstein Studio provides a built-in feature to work with external models.
Option A suggests using Apex, but BYO-LLM functionality offers a more streamlined solution. Option C focuses on Flow and External Services, which is more about data integration and isn't ideal for working with LLMs.


Reference:

Salesforce Einstein Studio BYO-LLM Documentation:
https://help.salesforce.com/s/articleView?id=sf.einstein_studio_llm.htm






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