Salesforce-AI-Specialist Dumps with Practice Exam Questions Answers

To enable Universal Containers' sales team with automatic post-call visibility into mentions of competitors, products, and custom phrases, the AI Specialist should set up Call Insights. Call Insights analyzes voice and video calls for key phrases, topics, and mentions, providing insights into critical aspects of the conversation. This feature automatically surfaces key details such as competitor mentions, product discussions, and custom phrases specified by the sales team.

Call Summaries provide a general overview of the call but do not specifically highlight keywords or topics.

Call Explorer is a tool for navigating through call data but does not focus on automatic insights.

For more information, refer to Salesforce's Call Insights documentation regarding the analysis of call content and extracting actionable information.

Universal Containers should use a Predictive model to decide which of the three emails to send based on the customer's lifetime value score and market segment. Predictive models analyze data to forecast outcomes, and in this case, it would predict the most appropriate email to send based on customer attributes. Additionally, predictive models can provide explainability to show why a certain email was chosen, which is crucial for UC’s requirement to explain the decision-making process.

Generative models are typically used for content creation, not decision-making, and thus wouldn't be suitable for this requirement.

Predictive models offer the ability to explain why a particular decision was made, which aligns with UC’s needs.

Refer to Salesforce’s Predictive AI model documentation for more insights on how predictive models are used for segmentation and decision making.

To enable Universal Containers service agents to query the current fulfillment status of an order using natural language and leverage an existing auto-launched flow that queries Oracle ERP, the best solution is to create a custom copilot action that calls the flow. This action will allow Einstein Copilot to interact with the flow and retrieve the required order fulfillment information seamlessly. Custom copilot actions can be tailored to call various backend systems or flows in response to user requests.

Option B is correct because it enables integration between Einstein Copilot and the flow that connects to Oracle ERP.

Option A (Flex prompt template) is more suited for static responses and not for invoking flows.

Option C (Integration Flow Standard Action) is not directly related to creating a specific copilot action for this use case.

References:

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

Universal Containers is considering the use of the Einstein Trust Layer along with Einstein Generative AI Audit Data. The Einstein Trust Layer provides a secure and compliant way to use AI by offering features like data masking and toxicity assessment.

The audit data available through the Einstein Trust Layer includes information about masked data—which ensures sensitive information is not exposed—and the toxicity score, which evaluates the generated content for inappropriate or harmful language.

References:

Salesforce AI Specialist Documentation - Einstein Trust Layer: Details the auditing capabilities, including logging of masked data and evaluation of generated responses for toxicity to maintain compliance and trust.

The sales team at a hotel resort wants to generate a guest summary about guests' interests and provide recommendations based on their activity preferences captured in each guest profile. They require the summary to be available only on the contact record page.

Solution:

Use Prompt Builder to create a prompt template that generates the desired summary and displays it on the contact record page.

Prompt Builder:

Purpose: Allows the creation of custom prompt templates that leverage AI to generate content based on Salesforce data.

Functionality:

Field Generation Templates: Can be used to populate fields on records with AI-generated summaries.

Customization: Enables the AI Specialist to design prompts that utilize data from the guest profiles to produce personalized summaries and recommendations.

Relevance to the Use Case:

The sales team wants the summary to be available on the contact record page, which aligns with the capabilities of Prompt Builder to generate and display content on specific record pages.

Implementation Steps:

Create a Field Generation Prompt Template:

Use Prompt Builder to create a new prompt template of type Field Generation.

Design the prompt to instruct the AI to generate a summary based on the guest's interests and activity preferences.

Include Relevant Data:

Use merge fields to include data from the guest profile in the prompt.

Ensure that the prompt accesses the necessary fields to generate accurate recommendations.

Configure the Contact Page Layout:

Add the field that will display the AI-generated summary to the contact record page layout.

Ensure that the field is only visible where appropriate, adhering to the requirement of availability only on the contact record page.

Why Not Einstein Copilot or Model Builder:

Option A (Einstein Copilot):

Purpose: Einstein Copilot is a conversational AI assistant designed to interact with users through natural language.

Mismatch with Requirements:

The team wants a static summary displayed on the contact record page, not an interactive conversational experience.

Option C (Model Builder):

Purpose: Model Builder is used to create custom AI models for predictions and classifications.

Inapplicability:

Building a custom model is unnecessary for generating text summaries based on existing data.

Model Builder does not directly provide functionality to generate and display summaries on record pages.

References:

Salesforce AI Specialist Documentation - Prompt Builder Overview:

Provides an introduction to Prompt Builder and its capabilities.

Salesforce Help - Creating Field Generation Prompt Templates:

Guides on creating prompt templates that generate content for fields on records.

Salesforce Trailhead - Customize AI Content with Prompt Builder:

Offers hands-on experience in building and customizing prompt templates.

Conclusion:

By utilizing Prompt Builder, the sales team can create a customized prompt template that generates personalized guest summaries and recommendations based on activity preferences. This solution meets the requirement of displaying the summary only on the contact record page, enhancing the team's ability to engage with guests effectively.