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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

Topic	Details
Topic 1	Einstein Trust Layer: This section evaluates the skills of Salesforce administrators responsible for implementing security protocols and safeguarding data privacy. It emphasizes the security, privacy, and foundational features of the Einstein Trust Layer.
Topic 2	Model Builder: This portion of the exam focuses on Salesforce developers' expertise in working with AI models within Salesforce environments. Candidates will need to demonstrate knowledge of when to use the Model Builder and how to configure standard, custom, or Bring Your Own Large Language Model (BYOLLM) generative models to meet business needs.
Topic 3	Prompt Builder: This section evaluates the expertise of Salesforce consultants and administrators working with Salesforce's AI tools. It focuses on the Prompt Builder feature, requiring candidates to understand its usage based on business needs.
Topic 4	Einstein Copilot: This section assesses Salesforce consultants' skills in using Einstein Copilot in CRM workflows. It includes identifying when Einstein Copilot is appropriate based on business requirements, understanding how the large language model (LLM) performs copilot actions, and creating both standard and custom copilot actions.
Topic 5	Generative AI in CRM Applications: This part of the exam assesses Salesforce professionals’ knowledge of generative AI within CRM systems. It covers the use of generative AI features in Einstein for Sales and Einstein for Service.

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Salesforce Certified AI Specialist Exam Sample Questions (Q48-Q53):

NEW QUESTION # 48
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?

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

Answer: A

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 to50 productsand50 competitors, providing tailored insights relevant to the organization's needs.
OptionCaccurately reflects these steps. OptionAmentions defining recording managers but omits enabling sales recording within Salesforce. OptionBsuggests connecting a recording provider and limits customization to 25 products, which does not fully meet UC's requirements.
References:
* 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.

NEW QUESTION # 49
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?

A. Not safe
B. Moderately safe
C. Safe

Answer: C

Explanation:
In theEinstein Trust Layer, thetoxicity scoringsystem 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 1indicates that the content is deemedsafe.
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 theEinstein Trust Layer.
For further reference, check Salesforce's officialEinstein Trust Layer documentationregardingtoxicity scoringfor AI-generated content.

NEW QUESTION # 50
Universal Containers (UC) noticed an increase in customer contract cancellations in the last few months. UC is seeking ways to address this issue by implementing a proactive outreach program to customers before they cancel their contracts and is asking the Salesforce team to provide suggestions.
Which use case functionality of Model Builder aligns with UC's request?

A. Product recommendation prediction
B. Contract Renewal Date prediction
C. Customer churn prediction

Answer: C

Explanation:
Customer churn predictionis the best use case forModel Builderin addressingUniversal Containers' concerns about increasing customer contract cancellations. By implementing a model that predicts customer churn,UCcan proactively identify customers who are at risk of canceling and take action to retain them before they decide to terminate their contracts. This functionality allows the business to forecast churn probability based on historical data and initiate timely outreach programs.
* Option Bis correct becausecustomer churn predictionaligns withUC'sneed to reduce cancellations through proactive measures.
* Option A(product recommendation prediction) is unrelated to contract cancellations.
* Option C(contract renewal date prediction) addresses timing but does not focus on predicting potential cancellations.
References:
* Salesforce Model Builder Use Case Overview:https://help.salesforce.com/s/articleView?id=sf.
model_builder_use_cases.htm

NEW QUESTION # 51
What is an AI Specialist able to do when the "Enrich event logs with conversation data" setting in Einstein Copilot is enabled?

A. Generate details reports on all Copilot conversations over any time period.
B. View the user click path that led to each copilot action.
C. View session data including user Input and copilot responses for sessions over the past 7 days.

Answer: C

Explanation:
When the"Enrich event logs with conversation data"setting is enabled inEinstein Copilot, it allows an AI Specialist or admin to view session data, including both theuser inputandcopilot responsesfrom interactions over the past 7 days. This data is crucial for monitoring how the copilot is being used, analyzing its performance, and improving future interactions based on past inputs.
* This setting enriches the event logs with detailed conversational data for better insights into the interaction history, helping AI specialists track AI behavior and user engagement.
* Option A, viewing the user click path, focuses on navigation but is not part of the conversation data enrichment functionality.
* Option C, generating detailed reports over any time period, is incorrect because this specific feature is limited to data for the past 7 days.
Salesforce AI Specialist References:You can refer to this documentation for further insights:https://help.
salesforce.com/s/articleView?id=sf.einstein_copilot_event_logging.htm

NEW QUESTION # 52
Universal Containers is evaluating Einstein Generative AI features to improve the productivity of the service center operation.
Which features should the AI Specialist recommend?

A. Service Replies and Case Summaries
B. Service Replies and Work Summaries
C. Reply Recommendations and Sales Summaries

Answer: A

Explanation:
To improve the productivity of the service center, the AI Specialist should recommend theService Repliesand Case Summariesfeatures.
* Service Replieshelps agents by automatically generating suggested responses to customer inquiries, reducing response time and improving efficiency.
* Case Summariesprovide a quick overview of case details, allowing agents to get up to speed faster on customer issues.
* Work Summariesare not as relevant for direct customer service operations, andSales Summariesare focused on sales processes, not service center productivity.
For more information, seeSalesforce's Einstein Service Cloud documentationon the use of generative AI to assist customer service teams.

NEW QUESTION # 53
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