*NEW* Salesforce Certified AI Specialist Practice Exam Test

*NEW* Salesforce Certified AI Specialist Practice Exam Test free download

Fully Updated for 2025 | Latest Questions & Strategies to Pass on Your First Try

The Salesforce AI Specialist credential is designed for professionals looking to effectively utilize generative AI within Salesforce. AI Specialists are key in the deployment and use of Einstein AI solutions. This certification is intended for Salesforce Administrators, Developers, and Architects who implement built-in AI capabilities and enhance them using tools like Copilot Builder, Prompt Builder, and Model Builder.

Audience Description: Salesforce AI Specialist

Candidates for the Salesforce Certified AI Specialist should possess a foundational understanding of Salesforce’s core functionalities and be adept at navigating the Salesforce environment. The Salesforce Certified AI Specialist Exam is tailored for those who want to showcase their expertise in the following areas:

• Proficiency in Salesforce Einstein features, including foundational AI concepts, large language models (LLMs), prompts, models, and tools.

• Familiarity with Salesforce platform configurations, best practices, and the ability to build, test, troubleshoot, and refine Einstein features like prompts and models.

• Competence in utilizing Salesforce Einstein functionalities such as Sales emails, Service replies, Work Summary, Copilot Builder, Prompt Builder, and Model Builder, along with the ability to customize these features to meet specific business needs.

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

• An understanding of data quality, preparation, cleansing, and governance in AI model training and fine-tuning, along with adherence to ethical and responsible data handling practices, including privacy, bias mitigation, security, and compliance.

• The ability to engage stakeholders in discussions about AI applications, identifying opportunities and addressing challenges for AI-driven business enhancements.

This Certification Does Not Require:

• Extensive knowledge of configuring or fine-tuning LLMs.

• Proficiency in coding languages such as Apex or Python.

• Expertise in external AI tools.

• An understanding of transformer architecture.

• Performing return on investment (ROI) calculations.

• Knowledge of white space analysis.

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

Purpose of This Exam Guide

This guide is designed to help you assess your readiness for the Salesforce Certified AI Specialist Exam. It provides details about the target audience, recommended training and documentation, and a comprehensive list of exam objectives. Salesforce strongly recommends a combination of hands-on experience, formal training, and self-study to maximize your chances of success.

About the Exam

Here are the details for the Salesforce Certified AI Specialist Exam:

• Content: 60 multiple-choice questions

• Time allotted: 105 minutes

• Passing score: TBD%

• Registration fee: US$200 plus applicable taxes

• Retake fee: US$100

• Delivery options: Proctored exam at a testing center or online proctored environment; click here for scheduling information.

• References: No hard-copy or online materials are allowed during the exam.

• Prerequisite: None

Note: After completing the exam, candidates will be invited to participate in a brief 10-question survey about their experience. This feedback helps enhance the value of our certifications and the overall Credentialing Program. The survey takes no more than 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.