QUESTION: 13

Universal Containers (UC) wants to enable its sales team to get insights into product and competitor names mentioned during calls.
How should UC meet this requirement?

Enable Einstein Conversation Insights, assign permission sets, define recording managers, and customize insights with up to 50 competitor names.
Enable Einstein Conversation Insights, connect a recording provider, assign permission sets, and customize insights with up to 25 products.
Enable Einstein Conversation Insights, enable sales recording, assign permission sets, and customize insights with up to 50 products.

Answer(s): C

Explanation:

To provide the sales team with insights into product and competitor names mentioned during calls, Universal Containers should:
Enable Einstein Conversation Insights: Activates the feature that analyzes call recordings for valuable insights.
Enable Sales Recording: Allows calls to be recorded within Salesforce without needing an external recording provider.

Assign Permission Sets: Grants the necessary permissions to sales team members to access and utilize conversation insights.
Customize Insights: Configure the system to track mentions of up to 50 products and 50 competitors, providing tailored insights relevant to the organization's needs. Option C accurately reflects these steps. Option A mentions defining recording managers but omits enabling sales recording within Salesforce. Option B suggests connecting a recording provider and limits customization to 25 products, which does not fully meet UC's requirements.

Reference:

Salesforce AI Specialist Documentation - Setting Up Einstein Conversation Insights: Provides instructions on enabling conversation insights and sales recording. Salesforce Help - Customizing Conversation Insights: Details how to customize insights with up to 50 products and competitors.

Salesforce AI Specialist Exam Guide: Outlines best practices for implementing AI features like Einstein Conversation Insights in a sales context.
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QUESTION: 14

What is the role of the large language model (LLM) in executing an Einstein Copilot Action?

Find similar requests and provide actions that need to be executed
Identify the best matching actions and correct order of execution
Determine a user's access and sort actions by priority to be executed

Answer(s): B

Explanation:

In Einstein Copilot, the role of the Large Language Model (LLM) is to analyze user inputs and identify the best matching actions that need to be executed. It uses natural language understanding to break down the user's request and determine the correct sequence of actions that should be performed.

By doing so, the LLM ensures that the tasks and actions executed are contextually relevant and are performed in the proper order. This process provides a seamless, AI-enhanced experience for users by matching their requests to predefined Salesforce actions or flows.

The other options are incorrect because:

A mentions finding similar requests, which is not the primary role of the LLM in this context. C focuses on access and sorting by priority, which is handled more by security models and governance than by the LLM.

Reference:

Salesforce Einstein Documentation on Einstein Copilot Actions Salesforce AI Documentation on Large Language Models

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QUESTION: 15

A service agent is looking at a custom object that stores travel information. They recently received a weather alert and now need to cancel flights for the customers that are related with this itinerary. The service agent needs to review the Knowledge articles about canceling and rebooking the customer flights.
Which Einstein Copilot capability helps the agent accomplish this?

Execute tasks based on available actions, answering questions using information from accessible Knowledge articles.
Invoke a flow which makes a call to external data to create a Knowledge article.
Generate a Knowledge article based off the prompts that the agent enters to create steps to cancel flights.

Answer(s): A

Explanation:

In this scenario, the Einstein Copilot capability that best helps the agent is its ability to execute tasks based on available actions and answer questions using data from Knowledge articles. Einstein Copilot can assist the service agent by providing relevant Knowledge articles on canceling and rebooking flights, ensuring that the agent has access to the correct steps and procedures directly within the workflow.
This feature leverages the agent's existing context (the travel itinerary) and provides actionable insights or next steps from the relevant Knowledge articles to help the agent quickly resolve the customer's needs.
The other options are incorrect:
B refers to invoking a flow to create a Knowledge article, which is unrelated to the task of retrieving existing Knowledge articles.
C focuses on generating Knowledge articles, which is not the immediate need for this situation where the agent requires guidance on existing procedures.

Reference:

Salesforce Documentation on Einstein Copilot
Trailhead Module on Einstein for Service

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QUESTION: 16

An AI Specialist has created a copilot custom action using flow as the reference action type. However, it is not delivering the expected results to the conversation preview, and therefore needs troubleshooting.
What should the AI Specialist do to identify the root cause of the problem?

In Copilot Builder within the Dynamic Panel, turn on dynamic debugging to show the inputs and outputs.
Copilot Builder within the Dynamic Panel, confirm selected action and observe the values in Input and Output sections.
In Copilot Builder, verify the utterance entered by the user and review session event logs for debug information.

Answer(s): A

Explanation:

When troubleshooting a copilot custom action using flow as the reference action type, enabling dynamic debugging within Copilot Builder's Dynamic Panel is the most effective way to identify the root cause. By turning on dynamic debugging, the AI Specialist can see detailed logs showing both the inputs and outputs of the flow, which helps identify where the action might be failing or not delivering the expected results.
Option B, confirming selected actions and observing the Input and Output sections, is useful for monitoring flow configuration but does not provide the deep diagnostic details available with dynamic debugging.
Option C, verifying the user utterance and reviewing session event logs, could provide helpful context, but dynamic debugging is the primary tool for identifying issues with inputs and outputs in real time.
Salesforce AI Specialist

Reference:

To explore more about dynamic debugging in Copilot Builder, see:
https://help.salesforce.com/s/articleView?id=sf.copilot_custom_action_debugging.htm

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Free Salesforce-AI-Specialist Exam Braindumps (page: 4)

QUESTION: 13

Explanation:

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QUESTION: 14

Explanation:

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QUESTION: 15

Explanation:

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QUESTION: 16

Explanation:

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