Salesforce Certified AI Specialist Exam Practice Questions

About the Salesforce AI Specialist Credential

The Salesforce AI Specialist credential is designed for individuals eager to harness generative AI within the Salesforce ecosystem. AI Specialists play a crucial role in implementing and optimizing Einstein AI solutions. This certification is perfect for Salesforce Administrators, Developers, and Architects who utilize built-in 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 possess a foundational understanding of Salesforce’s core functionalities and be adept at navigating the platform. This exam is tailored for those looking to demonstrate their knowledge, skills, and experience in the following areas:

• Salesforce Einstein Expertise:

  • Understand Einstein AI features, capabilities, and components.

  • Grasp foundational AI concepts, large language models (LLMs), prompts, models, and tools.

• Platform Configuration and Best Practices:

  • Configure, build, test, troubleshoot, and refine Einstein features such as prompts and models.

  • Apply Salesforce Platform configurations and best practices effectively.

• Proficiency with Einstein Functionalities:

  • Utilize Salesforce Einstein tools like Sales Emails, Service Replies, Work Summary, Copilot Builder, Prompt Builder, and Model Builder.

  • Customize these features to meet specific business requirements.

• Custom Solutions Development:

  • Navigate Salesforce tools to develop custom solutions, actions, or integrations within the Salesforce environment.

• AI Fundamentals:

  • Comprehend AI basics, including predictive analytics, machine learning, natural language processing (NLP), and computer vision.

  • Understand Salesforce’s trusted AI principles in CRM systems.

• Data Management and Ethics:

  • Recognize the importance of data quality, preparation, cleansing, and governance in AI model training and fine-tuning.

  • Practice ethical and responsible data handling, covering privacy, bias, security, and compliance.

• Stakeholder Engagement:

  • Engage in discussions with stakeholders about AI applications.

  • Identify opportunities and address challenges for AI-driven business improvements.

Candidates for this Certification Are Not Expected to:

• Possess extensive knowledge of configuring and fine-tuning large language models (LLMs).

• Understand coding languages such as Apex or Python.

• Have expertise in external AI tools.

• Comprehend transformer architecture.

• Perform return on investment (ROI) calculations.

• Conduct white space analysis.

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

About the Exam

Salesforce Certified AI Specialist Exam Details:

• Content: 60 multiple-choice questions

• Time Allotted: 105 minutes

• Passing Score: 73%

• Registration Fee: $200 USD plus applicable taxes as required by local laws

• Retake Fee: $100 USD

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

• Prerequisite: None

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.