Salesforce Certified AI Specialist Exam Questions Course

About the Salesforce AI Specialist Credential

The Salesforce AI Specialist credential is intended for individuals looking to utilize generative AI within the Salesforce platform. AI Specialists are essential for implementing and using Einstein AI solutions effectively. This certification exam is tailored for Salesforce Administrators, Developers, and Architects who apply standard AI features and enhance them with tools like Copilot Builder, Prompt Builder, and Model Builder.

Audience Description: Salesforce AI Specialist

Candidates for the Salesforce Certified AI Specialist should have a basic understanding of Salesforce's core functionalities and be comfortable navigating the platform. The exam is designed for individuals who aim to demonstrate their knowledge, skills, or experience in the following areas:

• Salesforce Einstein Features: Familiarity with Einstein AI's features, capabilities, and components, including core AI concepts, large language models (LLMs), prompts, models, and tools.

• Platform Configuration: Knowledge of Salesforce Platform configurations, processes, best practices, and the ability to build, configure, test, troubleshoot, and refine Einstein features such as prompts and models.

• Einstein Functionalities: Proficiency in utilizing Einstein functionalities like Sales emails, Service replies, Work Summary, Copilot Builder, Prompt Builder, and Model Builder, and the ability to implement and customize these features for specific business requirements.

• Custom Solutions Development: Skill in navigating Salesforce tools and developing custom solutions, actions, or integrations within the Salesforce environment.

• AI Fundamentals: Understanding of AI basics, including predictive analytics, machine learning, natural language processing (NLP), computer vision, and Salesforce's trusted AI principles in CRM systems.

• Data Management: Awareness of the importance of data quality, preparation, cleansing, and governance in AI model training and fine-tuning, along with ethical and responsible data handling practices, including privacy, bias, security, and compliance.

• Stakeholder Engagement: Ability to discuss AI applications with stakeholders, identifying opportunities and addressing challenges for AI-driven business improvements.

Candidates Are Not Expected To:

• Possess in-depth knowledge of configuring and fine-tuning LLMs.

• Have a basic understanding of coding languages such as Apex or Python.

• Be experts in external AI tools.

• Understand transformer architecture.

• Conduct return on investment (ROI) calculations.

• Perform white space analysis.

• Have experience with Marketing Cloud, Heroku, Commerce Cloud, MuleSoft, Tableau, Slack, Quip, or Industry Clouds.

About the Exam

Here are the details 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 as required by local laws

Delivery Options: The exam can be taken as a proctored test at a testing center or in an online proctored environment. Click here for information on scheduling the exam.

References: No physical or online materials may be referenced during the exam.

Prerequisite: None

Note: After completing the exam, before receiving your results, you will be invited to complete a short 10-question survey about your experience. Your feedback helps improve our certifications and Credentialing Program. The survey should take approximately 5 minutes.

Exam Outline

The Salesforce Certified AI Specialist Exam measures a candidate’s knowledge and skills related to the following objectives.

Einstein Trust Layer: 15%

• Identify the security, privacy, and grounding features of the Einstein Trust Layer.

• Implement and manage the Einstein Trust Layer.

Generative AI in CRM Applications: 17%

• Given a scenario, identify the correct generative AI feature in Einstein for Sales.

• Given a scenario, identify the correct generative AI feature in Einstein for Service.

Prompt Builder: 37%

• Given business requirements, identify when it's appropriate to use Prompt Builder.

• Identify the right user roles to manage and execute prompt templates.

• Identify the considerations for creating a prompt template.

• Given a scenario, identify the appropriate grounding technique.

• Explain the process for creating, activating, and executing prompt templates.

Einstein Copilot: 23%

• Given business requirements, identify when it's appropriate to use Einstein Copilot.

• Explain how the large language model (LLM) identifies and executes a copilot action.

• Leverage standard copilot actions and create custom copilot actions.

• Manage and monitor Copilot adoption.

Model Builder: 8%

• Given business requirements, identify when it's appropriate to use Model Builder.

• Configure standard, custom, and Bring Your Own Large Language Model (BYOLLM) generative models.