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Most Salesforce-AI-Specialist Reliable Questions - Free PDF Quiz 2025 Salesforce-AI-Specialist: Salesforce Certified AI Specialist Exam First-grade Actual Questions

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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 AI specialists responsible for implementing security protocols and safeguarding data privacy. It emphasizes the security, privacy, and foundational features of the Einstein Trust Layer.

Topic 2

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 3

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 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

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.

>> Most Salesforce-AI-Specialist Reliable Questions <<

Salesforce Salesforce-AI-Specialist Actual Questions | Latest Salesforce-AI-Specialist Exam Guide

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Salesforce Certified AI Specialist Exam Sample Questions (Q135-Q140):

NEW QUESTION # 135
Universal Containers wants to allow its service agents to query the current fulfillment status of an order with natural language. There is an existing auto launched flow to query the information from Oracle ERP, which is the system of record for the order fulfillment process.
How should an AI Specialist apply the power of conversational AI to this use case?

A. Configure the Integration Flow Standard Action in Einstein Copilot.
B. Create a custom copilot action which calls a flow.
C. Create a Flex prompt template in Prompt Builder.

Answer: B

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

NEW QUESTION # 136
Amid their busy schedules, sales reps at Universal Containers dedicate time to follow up with prospects and existing clients via email regarding renewals or new deals. They spend many hours throughout the week reviewing past communications and details about their customers before performing their outreach.
Which standard Copilot action helps sales reps draft personalized emails to prospects by generating text based on previous successful communications?

A. Einstein Copilot Action: Draft or Revise Sales Email
B. Einstein Copilot Action: Find Similar Opportunities
C. Einstein Copilot Action: Summarize Record

Answer: A

Explanation:
For sales reps who need to draft personalized emails based on previous communications, the AI Specialist should recommend theEinstein Copilot Action: Draft or Revise Sales Email. This action uses AI to generate or revise email content, leveraging past successful communications to create personalized and relevant outreach to prospects or clients.
* Find Similar Opportunitiesis used for opportunity matching, not email drafting.
* Summarize Recordprovides a summary of customer data but does not directly help with drafting emails.
For more information, refer toSalesforce's Einstein Copilot documentationon standard actions for sales teams.

NEW QUESTION # 137
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, assign permission sets, define recording managers, and customize insights with up to 50 competitor names.
B. Enable Einstein Conversation Insights, connect a recording provider, assign permission sets, and customize insights with up to 25 products.
C. Enable Einstein Conversation Insights, enable sales recording, assign permission sets, and customize insights with up to 50 products.

Answer: 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.

NEW QUESTION # 138
How does Secure Data Retrieval ensure that only authorized users can access necessary Salesforce data for dynamic grounding?

A. Retrieves Salesforce data based on the user's permissions executing the prompt.
B. Retrieves Salesforce data based on the 'Run As" users permissions.
C. Retrieves Salesforces data based on the Prompt template's object permissions.

Answer: A

Explanation:
Secure Data Retrieval enforces Salesforce's security model by dynamically grounding data access in the permissions of the user executing the prompt. This ensures compliance with CRUD (Create, Read, Update, Delete) and FLS (Field-Level Security) settings, preventing unauthorized access to sensitive data. For example, if a user lacks access to a specific object or field, the AI model cannot retrieve it for dynamic grounding.
* "Run As" user permissions (A) would bypass user-specific security, posing a compliance risk.
* Prompt template permissions (C) are not a Salesforce security mechanism; access is always tied to the user's profile and sharing settings.

NEW QUESTION # 139
Universal Containers (UC) plans to send one of three different emails to its customers based on the customer's lifetime value score and their market segment.
Considering that UC are required to explain why an e-mail was selected, which AI model should UC use to achieve this?

A. Generative model
B. Predictive model and generative model
C. Predictive model

Answer: C

Explanation:
Universal Containersshould use aPredictive modelto decide which of the three emails to send based on the customer'slifetime value scoreandmarket 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 provideexplainabilityto show why a certain email was chosen, which is crucial for UC' s requirement to explain the decision-making process.
* Generative modelsare typically used for content creation, not decision-making, and thus wouldn't be suitable for this requirement.
* Predictive modelsoffer the ability to explain why a particular decision was made, which aligns with UC's needs.
Refer toSalesforce's Predictive AI model documentationfor more insights on how predictive models are used for segmentation and decision making.

NEW QUESTION # 140
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