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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:
Topic
Details
Topic 1
- Generative AI in CRM Applications: This part of the exam assesses AI specialists’ knowledge of generative AI within CRM systems. It covers the use of generative AI features in Einstein for Sales and Einstein for Service.
Topic 2
- Prompt Builder: This section evaluates the expertise of AI specialists working with Salesforce's AI tools. It focuses on the Prompt Builder feature, requiring candidates to understand its usage based on business needs.
Topic 3
- Model Builder: This portion of the exam focuses on Salesforce AI specialists' 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 4
- Agentforce Tools: In this topic, AI specialists get knowledge using agents when it is appropriate. Moreover, the topic explains the working of agents and reasoning engine powers Agentforce. Lastly, the topic focuses on managing and monitoring agent adoption.
Topic 5
- Einstein Trust Layer: This section evaluates the skills of Salesforce AI specialists responsible for implementing security protocols and safeguarding data privacy. It emphasizes the security, privacy, and foundational features of the Einstein Trust Layer.
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Salesforce Certified AI Specialist Exam Sample Questions (Q54-Q59):
NEW QUESTION # 54
Universal Containers (UC) wants to use the Draft with Einstein feature in Sales Cloud to create a personalized introduction email.
After creating a proposed draft email, which predefined adjustment should UC choose to revise the draft with a more casual tone?
- A. Optimize for Clarity
- B. Enhance Friendliness
- C. Make Less Formal
Answer: C
Explanation:
WhenUniversal Containersuses theDraft with Einsteinfeature inSales Cloudto create a personalized email, the predefined adjustment toMake Less Formalis the correct option to revise the draft with a more casual tone. This option adjusts the wording of the draft to sound less formal, making the communication more approachable while still maintaining professionalism.
* Enhance Friendlinesswould make the tone more positive, but not necessarily more casual.
* Optimize for Clarityfocuses on making the draft clearer but doesn't adjust the tone.
For more details, seeSalesforce documentation on Einstein-generated email draftsand tone adjustments.
NEW QUESTION # 55
Universal Containers (UC) needs to improve the agent productivity in replying to customer chats.
Which generative AI feature should help UC address this issue?
- A. Case Summaries
- B. Service Replies
- C. Case Escalation
Answer: B
Explanation:
* Service Replies: This generative AI feature automates and assists in generating accurate, contextual, and efficient replies for customer service agents. It uses past interactions, case data, and the context of the conversation to provide draft responses, thereby enhancing productivity and reducing response times.
* Case Summaries: Summarizes case information but does not assist directly in replying to customer chats.
* Case Escalation: Refers to moving cases to higher-level support teams but does not address the need to improve chat response productivity.
Thus,Service Repliesis the best feature for this requirement as it directly aligns with improving agent efficiency in replying to chats.
NEW QUESTION # 56
Universal Containers' data science team is hosting a generative large language model (LLM) on Amazon Web Services (AWS).
What should the team use to access externally-hosted models in the Salesforce Platform?
- A. Copilot Builder
- B. App Builder
- C. Model Builder
Answer: C
Explanation:
To access externally-hosted models, such as a large language model (LLM) hosted on AWS, the Model Builder in Salesforce is the appropriate tool. Model Builder allows teams to integrate and deploy external AI models into the Salesforce platform, making it possible to leverage models hosted outside of Salesforce infrastructure while still benefiting from the platform's native AI capabilities.
Option B, App Builder, is primarily used to build and configure applications in Salesforce, not to integrate AI models.
Option C, Copilot Builder, focuses on building assistant-like tools rather than integrating external AI models.
Model Builder enables seamless integration with external systems and models, allowing Salesforce users to use external LLMs for generating AI-driven insights and automation.
Salesforce AI Specialist Reference:
For more details, check the Model Builder guide here: https://help.salesforce.com/s/articleView?id=sf.model_builder_external_models.htm
NEW QUESTION # 57
What is the role of the large language model (LLM) in executing an Einstein Copilot Action?
- A. Identify the best matching actions and correct order of execution
- B. Determine a user's access and sort actions by priority to be executed
- C. Find similar requests and provideactions that need to be executed
Answer: A
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.
References:
Salesforce Einstein Documentation on Einstein Copilot Actions
Salesforce AI Documentation on Large Language Models
NEW QUESTION # 58
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, connect a recording provider, assign permission sets, and customize insights with up to 25 products.
- B. Enable Einstein Conversation Insights, enable sales recording, assign permission sets, and customize insights with up to 50 products.
- C. Enable Einstein Conversation Insights, assign permission sets, define recording managers, and customize insights with up to 50 competitor names.
Answer: B
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 # 59
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