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Salesforce Salesforce-AI-Specialist Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified AI Specialist Exam
Exam Number:Salesforce-AI-Specialist
Available Languages:English
Exam Duration:105 minutes
Certificate Validity Period:No fixed expiration; maintenance modules required for credential maintenance
Real Exam Qty:60
Exam Format:Multiple Choice, Multiple Select
Related Certifications:Salesforce Certified AI Associate
Salesforce Certified Agentforce Specialist
Passing Score:73%
Exam Price:$0 USD (free first attempt through AI for All initiative until end of 2025); $100 USD retake fee
Sample Questions:Salesforce Salesforce-AI-Specialist Sample Questions
Exam Way:Online proctored exam or onsite testing center
Pre Condition:No formal prerequisites
Official Syllabus URL:https://trailhead.salesforce.com/credentials/agentforcespecialist

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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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 5
  • 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.

Salesforce Certified AI Specialist Exam Sample Questions (Q128-Q133):

NEW QUESTION # 128
Universal Containers needs a tool that can analyze voice and video call records to provide insights on competitor mentions, coaching opportunities, and other key information. Thegoal is to enhance the team'sperformance by identifying areas for improvement and competitive intelligence.
Which feature provides insights about competitor mentions and coaching opportunities?

Answer: A

Explanation:
For analyzing voice and video call records to gain insights into competitor mentions, coaching opportunities, and other key information,Call Exploreris the most suitable feature.Call Explorer, a part ofEinstein Conversation Insights, enables sales teams to analyze calls, detect patterns, and identify areas where improvements can be made. It uses natural language processing (NLP) to extract insights, including competitor mentionsand moments for coaching. These insights are vital for improving sales performance by providing a clear understanding of the interactions during calls.
* Call Summariesoffer a quick overview of a call but do not delve deep into competitor mentions or coaching insights.
* Einstein Sales Insightsfocuses more on pipeline and forecasting insights rather than call-based analysis.
References:
* Salesforce Einstein Conversation Insights Documentation:https://help.salesforce.com/s/articleView?
id=einstein_conversation_insights.htm


NEW QUESTION # 129
A data scientist needs to view and manage models in Einstein Studio. The data scientist also needs to create prompt templates in Prompt Builder.
Which permission sets should an AI Specialist assign to the data scientist?

Answer: A

Explanation:
To allow a data scientist to view and manage models in Einstein Studio and create prompt templates in Prompt Builder, the AI Specialist should assign the Data Cloud Admin and Prompt Template Manager permission sets.
Data Cloud Admin provides access to manage and oversee models within Einstein Studio.
Prompt Template Manager gives the user the ability to create and manage prompt templates within Prompt Builder.
Option A is correct because it assigns the necessary permissions for both managing models and creating prompt templates.
Option B and Option C are incorrect as they do not provide the correct combination of permissions for managing models and building prompts.
Reference:
Salesforce Permissions Documentation: https://help.salesforce.com/s/articleView?id=sf.perm_sets_overview.htm


NEW QUESTION # 130
A support team handles a high volume of chat interactions and needs a solution to provide quick, relevant responses to customer inquiries.
Responses must be grounded in the organization's knowledge base to maintain consistency and accuracy.
Which feature in Einstein for Service should the support team use?

Answer: A

Explanation:
The support team should useEinstein Reply Recommendationsto provide quick, relevant responses to customer inquiries that are grounded in the organization's knowledge base. This feature leverages AI to recommend accurate and consistent replies based on historical interactions and the knowledge stored in the system, ensuring that responses are aligned with organizational standards.
* Einstein Service Replies(Option A) is focused on generating replies but doesn't have the same emphasis on grounding responses in the knowledge base.
* Einstein Knowledge Recommendations(Option C) suggests knowledge articles to agents, which is more about assisting the agent in finding relevant articles than providing automated or AI-generated responses to customers.
Salesforce AI Specialist References:For more information on Einstein Reply Recommendations:https://help.
salesforce.com/s/articleView?id=sf.einstein_reply_recommendations_overview.htm


NEW QUESTION # 131
Universal Containers implemented Einstein Copilot for its users.
One user complains that Einstein Copilot is not deleting activities from the past 7 days.
What is the reason for this issue?

Answer: A

Explanation:
Einstein Copilot currently supports various actions like creating and updating records but does not support the Delete Record action. Therefore, the user's request to delete activities from the past 7 days cannot be fulfilled using Einstein Copilot.
Unsupported Action: The inability to delete records is due to the current limitations of Einstein Copilot's supported actions. It is designed to assist with tasks like data retrieval, creation, and updates, but for security and data integrity reasons, it does not facilitate the deletion of records.
User Permissions: Even if the user has the necessary permissions to delete records within Salesforce, Einstein Copilot itself does not have the capability to execute delete operations.
Reference:
Salesforce AI Specialist Documentation - Einstein Copilot Supported Actions:
Lists the actions that Einstein Copilot can perform, noting the absence of delete operations.
Salesforce Help - Limitations of Einstein Copilot:
Highlights current limitations, including unsupported actions like deleting records.


NEW QUESTION # 132
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?

Answer: C

Explanation:
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.


NEW QUESTION # 133
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