2025 LATEST SALESFORCE-AI-SPECIALIST BRAINDUMPS PDF | VALID VALID SALESFORCE-AI-SPECIALIST VCE DUMPS: SALESFORCE CERTIFIED AI SPECIALIST EXAM

2025 Latest Salesforce-AI-Specialist Braindumps Pdf | Valid Valid Salesforce-AI-Specialist Vce Dumps: Salesforce Certified AI Specialist Exam

2025 Latest Salesforce-AI-Specialist Braindumps Pdf | Valid Valid Salesforce-AI-Specialist Vce Dumps: Salesforce Certified AI Specialist Exam

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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
  • 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 3
  • 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 4
  • 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 5
  • 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.

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Salesforce Certified AI Specialist Exam Sample Questions (Q106-Q111):

NEW QUESTION # 106
An AI Specialist is creating a custom action in Einstein Copilot.
Which option is available for the AI Specialist to choose for the custom copilot action?

  • A. Flows
  • B. Apex trigger
  • C. SOQL

Answer: A

Explanation:
When creating acustom actionin Einstein Copilot, one of the available options is to useFlows. Flows are a powerful automation tool in Salesforce, allowing the AI Specialist to define custom logic and actions within the Copilot system. This makes it easy to extend Copilot's functionality without needing custom code.
WhileApex triggersandSOQLare important Salesforce tools,Flowsare the recommended method for creating custom actions within Einstein Copilot because they are declarative and highly adaptable.
For further guidance, refer toSalesforce Flow documentationandEinstein Copilot customization resources.


NEW QUESTION # 107
Universal Containers (UC) wants to leverage Generative AI Salesforce functionality to reduce Service Agent handling time by providing recommended replies based on the existing Knowledge articles.
On which AI capability should UC train the service agents?

  • A. Service Replies
  • B. Knowledge Replies
  • C. Case Replies

Answer: B

Explanation:
Knowledge Replies is the Einstein Generative AI capability that generates recommended responses for service agents by grounding responses in the organization's Knowledge articles. This reduces handling time by providing contextually accurate suggestions sourced directly from approved content. Salesforce documentation states that Knowledge Replies leverage natural language processing (NLP) to match customer inquiries with relevant articles and draft replies, ensuring consistency and compliance.
* Case Replies (A) focus on generating responses based on case data (e.g., case fields, history) but do not explicitly ground responses in Knowledge articles.
* Service Replies (C) is not a standard Einstein capability tied to Knowledge-driven responses.


NEW QUESTION # 108
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. Safe
  • C. Moderately safe

Answer: B

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 # 109
Universal Containers (UC) uses Salesforce Service Cloud to support its customers and agents handling cases. UC is considering implementing Einstein Copilot and extending Service Cloud to mobile users.
When would Einstein Copilot implementation be most advantageous?

  • A. When the goal is to streamline customer support processes and improve response times
  • B. When the main objective is to enhance data security and compliance measures
  • C. When the focus is on optimizing marketing campaigns and strategies

Answer: A

Explanation:
Einstein Copilot implementation would be most advantageous in Salesforce Service Cloud when the goal is to streamline customer support processes and improve response times. Einstein Copilot can assist agents by providing real-time suggestions, automating repetitive tasks, and generating contextual responses, thus enhancing service efficiency.
Option B (data security) is not the primary focus of Einstein Copilot, which is more about improving operational efficiency.
Option C (marketing campaigns) falls outside the scope of Service Cloud and Einstein Copilot's primary benefits, which are aimed at improving customer service and case management.
For further reading, refer to Salesforce documentation on Einstein Copilot for Service Cloud and how it improves support processes.


NEW QUESTION # 110
An AI Specialist is tasked with analyzing Agent interactions looking into user inputs, requests, and queries to identify patterns and trends.
What functionality allows the AX Specialist to achieve this?

  • A. Agent Event Logs dashboard
  • B. AI Audit & Feedback Data dashboard
  • C. User Utterances dashboard

Answer: C

Explanation:
The User Utterances dashboard (Option A) is the correct functionality for analyzing user inputs, requests, and queries to identify patterns and trends. This dashboard aggregates and categorizes the natural language inputs (utterances) from users, enabling the AI Specialist to:
* Identify Common Queries: Surface frequently asked questions or recurring issues.
* Detect Intent Patterns: Understand how users phrase requests, which helps refine intent detection models.
* Improve Bot Training: Highlight gaps in training data or misclassified utterances that require adjustment.
Why Other Options Are Incorrect:
* B. Agent Event Logs dashboard: Focuses on agent activity (e.g., response times, resolved cases) rather than user input analysis.
* C. AI Audit & Feedback Data dashboard: Tracks AI model performance, audit trails, and user feedback scores but does not directly analyze raw user utterances or queries.
References:
* Salesforce Einstein AI Specialist Certification Guide: Emphasizes the User Utterances dashboard as the primary tool for analyzing user inputs to improve conversational AI.
* Trailhead Module: "Einstein Bots Basics" highlights using the dashboard to refine bot training based on user interaction data.
* Salesforce Help Documentation: Describes the User Utterances dashboard as critical for identifying trends in customer interactions.


NEW QUESTION # 111
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