Free Salesforce-AI-Specialist Exam Braindumps (page: 13)

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An AI Specialist wants to ground a new prompt template with the User related list.
What should the AI Specialist consider?

  1. The User related list should have View All access.
  2. The User related list needs to be included on the record page.
  3. The User related list is not supported in prompt templates.

Answer(s): C

Explanation:

Salesforce has restrictions on which objects and related lists can be used for grounding prompt templates. This is likely due to security and privacy concerns related to user data.
While it might seem intuitive to use the User related list to provide context to the LLM, Salesforce prevents this to ensure that sensitive user information is not inadvertently exposed or misused. Therefore, the AI Specialist needs to explore alternative ways to incorporate the necessary user information into the prompt template, perhaps by using other related objects or fields that are supported.



Which use case is best supported by Salesforce Einstein Copilot's capabilities?

  1. Bring together a conversational interface for interacting with AI for all Salesforce users, such as developers and ecommerce retailers.
  2. Enable Salesforce admin users to create and train custom large language models (LLMs) using CRM data.
  3. Enable data scientists to train predictive AI models with historical CRM data using built-in machine learning capabilities

Answer(s): A

Explanation:

Salesforce Einstein Copilot is designed to provide a conversational AI interface that can be utilized by different types of Salesforce users, such as developers, sales agents, and retailers. It acts as an AI- powered assistant that facilitates natural interactions with the system, enabling users to perform tasks and access data easily. This includes tasks like pulling reports, updating records, and generating personalized responses in real time.
Option A is correct because Einstein Copilot brings a conversational interface that caters to a wide range of users.
Option B and Option C are more focused on developing and training AI models, which are not the primary functions of Einstein Copilot.


Reference:

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



An AI Specialist wants to use the related lists from an account in a custom prompt template.
What should the AI Specialist consider when configuring the prompt template?

  1. The text encoding (for example, UTF-8, ASCII) option
  2. The maximum number of related list merge fields
  3. The choice between XML and JSON rendering formats for the list

Answer(s): B

Explanation:

When configuring a custom prompt template to use related lists, the AI Specialist must be aware of the maximum number of related list merge fields that can be included. Salesforce enforces limits to ensure prompt templates perform efficiently and do not overload the system with too much data. As a best practice, it's important to monitor and optimize the number of merge fields used. Option B is correct because there is a limit on how many related list merge fields can be included in a prompt template.
Option A (text encoding) and Option C (XML/JSON rendering) are not key considerations in this context.


Reference:

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



Universal Containers is using Einstein Copilot for Sales to find similar opportunities to help close deals faster. The team wants to understand the criteria used by the copilot to match opportunities.
What is one criteria that Einstein Copilot for Sales uses to match similar opportunities?

  1. Matched opportunities are limited to the same account.
  2. Matched opportunities were created in the last 12 months.
  3. Matched opportunities have a status of Closed Won from last 12 months.

Answer(s): C

Explanation:

When Einstein Copilot for Sales matches similar opportunities, one of the primary criteria used is whether the opportunities have a status of Closed Won within the last 12 months. This is a key factor in identifying successful patterns that could help close current deals. By focusing on opportunities that have been recently successful, Einstein Copilot can provide relevant insights and suggestions to sales reps to help them close similar deals faster.
For more information, review Salesforce Einstein Copilot documentation related to opportunity matching and sales success patterns.






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