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Salesforce Certified AI Specialist Practice Test

88 questions available

The Salesforce Certified AI Specialist Practice Test is designed for professionals seeking to validate their expertise in applying artificial intelligence within the Salesforce ecosystem. This exam covers five core domains: the Einstein Trust Layer, Generative AI in CRM Applications, Model Builder, Prompt Builder, and Salesforce AI Features. It tests a candidate's ability to configure, manage, and troubleshoot AI-driven tools that enhance customer relationship management. The ideal test-taker includes Salesforce administrators, developers, consultants, and architects who have hands-on experience with Salesforce AI products and are looking to demonstrate their proficiency in deploying responsible, scalable AI solutions. By completing this practice test, learners will gain a clear understanding of exam structure, question formats, and the depth of knowledge required to pass the official certification. They will also build confidence in applying AI concepts such as data masking, prompt engineering, model selection, and trust layer governance to real-world business scenarios. This practice test serves as both a diagnostic tool and a study accelerator, helping candidates identify knowledge gaps and focus their preparation efforts effectively.

Certification exam
60 Exam questions
1 hour 45 minutes Time Limit
Practice bank
88 Practice Questions
1 hour 28 minutes Practice Time
Start Practice
The bar to clear 65 Official passing score. Aim higher in practice before you book.
Official objectives from Salesforce
Salesforce88 practice questions49 answers with a checkable referenceBlueprint 1.0Bank updated 2026-07-09

Sample Questions

Try a few questions to see what the full exam is like.

49 of 88 answers carry a checkable reference.

AI Agents

A project lead asks how to handle creating and managing agents programmatically from Python. What is the most appropriate response?

AI Agents

A project lead asks how to handle turning a natural language request into agent components. What is the most appropriate response?

Data 360 Fundamentals

A separate implementation team needs to handle supporting escalation from an Agentforce agent to a human service representative. Which answer is best?

AI Agents

During an implementation review, the requirement is integrating Agentforce into a mobile app. Which answer best fits?

AI Agents

During an implementation review, the requirement is programmatically creating, managing, and deploying AI agents in Salesforce. Which answer best fits?

Why This Certification Opens Doors

Mastering the content in this practice test directly translates to the ability to implement AI solutions that are secure, ethical, and impactful in a production CRM environment. The Einstein Trust Layer ensures customer data privacy and compliance, which is non-negotiable for enterprises handling sensitive information. Generative AI in CRM enables personalized customer interactions at scale, while Model Builder and Prompt Builder allow for custom AI workflows without extensive coding. These skills are increasingly demanded by employers seeking to leverage AI for sales forecasting, service automation, and marketing personalization. Passing the actual certification signals to stakeholders that you can responsibly integrate AI into business processes, reducing risk and accelerating time-to-value.

Exam Blueprint

Each domain is weighted to match the real certification exam, so a full practice simulation predicts your result.

01AI AgentsExplain how an agent works and its basic building blocks of agent script., Explain the components and benefits of hybrid reasoning, including how Agent Script functions in Canvas and Script View., Given a use case, manage deterministic behavior for the agent using mechanisms like filters, variables, and template expressions., Given a scenario, select and configure standard topics, custom topics, standard Agent actions, and custom Agent actions., Explain the process for connecting agents to various channels such as digital experience, email, voice, and Slack., Explain the security context in which the agent is actually running, and how it impacts agent action execution.
35%
02Data 360 FundamentalsExplain the considerations of Agentforce Data Library and its concepts., Explain foundational concepts of Data 360 such as chunking, indexing, and retrievers.
20%
03Prompt EngineeringGiven business requirements, identify when it's appropriate to use Prompt Builder., Identify access controls governing prompt templates., Identify the considerations for using a prompt template type such as field generation and flex types., Given a scenario, identify the appropriate grounding technique., Explain the process for creating, activating, and executing prompt templates., Explain how to implement best practices for writing effective prompts.
20%
04Governance & ObservabilityExplain the process for managing and monitoring agents., Explain agent analytics and agent optimization
10%
05Testing, Deployment, & MaintenanceGiven a scenario, test an agent using Testing Center., Explain how Testing Center evaluations work., Identify the considerations for deploying an agent from sandbox to production., Identify the considerations for deploying a template from sandbox to production.
10%
06Multi-Agent OrchestrationGiven a scenario, determine whether a Single-Agent (SOMA) architecture is appropriate for scalability and control., Explain the purpose of existing open standard multi-agent protocols such as MCP and A2A.
5%

Exam Details AI Specialist | $200 USD | 1 hour 45 minutes

Exam Code AI Specialist
Vendor Salesforce
Exam Cost $200 USD
Passing Score 65
Time Limit 1 hour 45 minutes
Exam questions 60
Question TypesMultiple Choice, Multiple Select
Retake Policy Retake available after scheduling (no mandatory waiting period for first retake). Retake fee ~$100 for most exams.
Exam Format Linear
Online Proctoring Available
Available In
EnglishJapaneseBrazilian PortugueseSpanishFrenchGerman

Study Resources

Salesforce Trailhead
SalesforceFree
Free official learning platform with trails aligned to each certification
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Salesforce Exam Guide & Sample Questions
SalesforceFree
Free exam guides with sample questions on each credential page
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Frequently Asked Questions

Do I need coding experience to pass the Salesforce AI Specialist exam?

No, coding is not required. The exam focuses on configuration, administration, and understanding of AI features within the Salesforce platform. However, familiarity with Salesforce setup menus, permission sets, and data management is beneficial.

How is the Einstein Trust Layer different from standard data security in Salesforce?

The Einstein Trust Layer specifically governs how data is sent to and processed by external AI models, including data masking, zero-retention policies, and audit trails. Standard Salesforce security controls access and sharing, but the Trust Layer adds a compliance layer for AI-specific data flows.

Can I use Prompt Builder without Model Builder?

Yes, Prompt Builder can be used with standard Salesforce AI models or third-party LLMs without requiring custom models built in Model Builder. However, Model Builder allows you to create and train custom models that can be referenced in prompts for more tailored outputs.

What is the most commonly tested scenario in the Generative AI in CRM section?

The most common scenarios involve using generative AI to automate service replies, generate sales emails, or summarize case histories. Questions often ask which data sources are permissible, how to configure grounding data, and how to handle hallucinations or inaccuracies.

Are there any prerequisites for taking this practice test?

There are no formal prerequisites, but it is recommended that you have at least six months of hands-on experience with Salesforce AI features and have completed relevant Trailhead modules. Familiarity with Salesforce administration basics is assumed.