Salesforce Certified AI Specialist Exam Questions Course

Unlock the Power of AI in Salesforce with the AI Specialist Credential

The Salesforce AI Specialist Credential is designed for professionals ready to harness the transformative potential of generative AI within the Salesforce platform. As an AI Specialist, you'll be crucial in implementing and leveraging Einstein AI solutions to drive business value. This certification exam is specifically tailored for Salesforce Administrators, Developers, and Architects who are already utilizing standard AI features and seeking to enhance them with powerful tools like Copilot Builder, Prompt Builder, and Model Builder.

Who Should Pursue the Salesforce AI Specialist Credential?

The Salesforce Certified AI Specialist credential is ideal for individuals who possess a foundational understanding of Salesforce and are eager to demonstrate proficiency in:

• Salesforce Einstein Features: Gain expertise in Einstein AI's capabilities, encompassing core AI concepts, large language models (LLMs), prompts, models, and related tools.
• Platform Configuration: Master Salesforce platform configurations, best practices, and the ability to build, configure, test, troubleshoot, and refine Einstein features, including prompts and models.
• Einstein Functionalities: Effectively utilize Einstein functionalities such as Sales emails, Service replies, Work Summary, and the advanced capabilities of Copilot Builder, Prompt Builder, and Model Builder to meet specific business needs.
• Custom Solutions Development: Develop custom solutions, actions, and integrations within the Salesforce environment using Salesforce tools.
• AI Fundamentals: Develop a strong understanding of AI basics, including predictive analytics, machine learning, natural language processing (NLP), and computer vision, alongside Salesforce's trusted AI principles.
• Data Management: Understand the critical role of data quality, preparation, cleansing, and governance in AI model training and fine-tuning, with a focus on ethical and responsible data handling practices (privacy, bias, security, and compliance).
• Stakeholder Engagement: Confidently discuss AI applications with stakeholders, identifying opportunities and addressing potential challenges for AI-driven business improvements.

What You Won't Need to Know

This credential focuses on practical application. You won't be expected to:

• Deeply configure and fine-tune LLMs.
• Have extensive coding skills in languages like Apex or Python.
• Be an expert in external AI tools.
• Understand transformer architecture in detail.
• Perform ROI calculations or white space analysis.
• Have experience with specific Salesforce clouds like Marketing Cloud, Heroku, Commerce Cloud, MuleSoft, Tableau, Slack, Quip, or Industry Clouds.

About the Salesforce Certified AI Specialist Exam

Here's a breakdown of the Salesforce Certified AI Specialist Exam:

• Content: 60 multiple-choice questions
• Time: 105 minutes
• Passing Score: 73%
• Registration Fee: Free
• Retake Fee: $100, plus applicable taxes
• Delivery Options: Proctored test at a testing center or online proctored environment. [Click here for exam scheduling information](link to scheduling).
• References: No materials allowed during the exam.
• Prerequisite: None
• Feedback Survey: After the exam, you'll be invited to complete a short 10-question survey to help improve the certification program.

Exam Outline: Key Objectives

The exam assesses your knowledge and skills across these key areas:

• Einstein Trust Layer (15%): Understand and implement the security, privacy, and grounding features of the Einstein Trust Layer.
• Generative AI in CRM Applications (17%): Identify the appropriate generative AI feature in Einstein for Sales and Service scenarios.
• Prompt Builder (37%): Determine when to use Prompt Builder, manage user roles, understand prompt template creation considerations, and identify appropriate grounding techniques. Learn the process for creating, activating, and executing prompt templates.
• Einstein Copilot (23%): Identify when to use Einstein Copilot, understand how the LLM executes copilot actions, leverage standard and create custom copilot actions, and manage Copilot adoption.
• Model Builder (8%): Identify when to use Model Builder and configure standard, custom, and Bring Your Own Large Language Model (BYOLLM) generative models.