Salesforce Certified AI Specialist Practice Exam Questions

Salesforce Certified AI Specialist by ITCertify Zone!

The Salesforce AI Specialist credential is tailored for professionals aiming to effectively utilize generative AI within the Salesforce ecosystem. AI Specialists play a critical role in deploying and managing Einstein AI solutions. This certification is suitable for Salesforce Administrators, Developers, and Architects who implement built-in AI features 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 have a foundational understanding of Salesforce’s core functionalities and be comfortable navigating the Salesforce platform. The exam is designed for those looking to demonstrate their skills 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 and best practices for building, testing, troubleshooting, and refining Einstein features like prompts and models.

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

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

• Understanding of data quality, preparation, cleansing, and governance for AI model training and fine-tuning, along with ethical and responsible data handling practices related to privacy, bias mitigation, security, and compliance.

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

This Certification Does Not Require:

• In-depth knowledge of configuring or fine-tuning LLMs.

• Proficiency in coding languages like Apex or Python.

• Expertise in external AI tools.

• 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 helps assess your readiness for the Salesforce Certified AI Specialist Exam. It includes details about the target audience, recommended training, documentation, and a breakdown of exam objectives. Salesforce recommends a combination of hands-on experience, formal training, and self-study for the best results.

About the 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; scheduling information available on the Salesforce website.

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

• Prerequisites: None

Note: After completing the exam, candidates will be invited to participate in a brief 10-question survey to provide feedback on their experience. This survey takes no more than 5 minutes and helps improve the certification process.

Exam Outline:

The Salesforce Certified AI Specialist Exam assesses knowledge and skills across the following objectives:

1. Einstein Trust Layer (15%)

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

• Implement and manage the Einstein Trust Layer.

2. Generative AI in CRM Applications (17%)

• Identify the correct generative AI feature in Einstein for Sales and Service based on specific scenarios.

3. Prompt Builder (37%)

• Identify when to use Prompt Builder based on business requirements.

• Recognize user roles for managing and executing prompt templates.

• Understand considerations for creating prompt templates and appropriate grounding techniques.

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

4. Einstein Copilot (23%)

• Determine when to use Einstein Copilot based on business needs.

• Explain how large language models (LLMs) identify and execute copilot actions.

• Utilize standard copilot actions and create custom actions.

• Manage and monitor Copilot adoption.

5. Model Builder (8%)

• Identify when to use Model Builder based on business requirements.

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

Who This Course Is For:

This course is designed for Salesforce professionals, data analysts, IT administrators, and developers who want to leverage Salesforce Einstein AI for CRM strategies, predictive analytics, and automated business processes.