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100+ Free Salesforce AI Specialist Practice Questions

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An admin needs to enable Einstein generative AI features in a Salesforce org for the first time. Which setting must be turned on in Setup before any prompt templates or Copilot features become usable?

A
B
C
D
to track
2026 Statistics

Key Facts: Salesforce AI Specialist Exam

60 + up to 5

Questions

Official exam guide

105 min

Time Limit

Official exam guide

73%

Passing Score

Official exam guide

$200

Exam Fee

Salesforce registration

32%

Largest Domain

Einstein Generative AI Features

No

Required Prerequisite

Official exam guide

The Salesforce AI Specialist exam uses 60 scored multiple-choice questions plus up to 5 unscored items, a 105-minute window, a 73% passing score, and a $200 registration fee. Per the public exam guide, the largest domains are Einstein Generative AI Features at roughly 32% and Prompt Builder at roughly 30%, followed by the Einstein Trust Layer at 17%, Model Builder at 12%, and Agentforce/Copilot at the remaining weight. There is no required prerequisite, but Salesforce strongly recommends Administrator-level platform knowledge plus hands-on experience with Prompt Builder, the Einstein Trust Layer, and grounding via Data Cloud or Salesforce records before sitting the exam.

Sample Salesforce AI Specialist Practice Questions

Try these sample questions to test your Salesforce AI Specialist exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.

1An admin needs to enable Einstein generative AI features in a Salesforce org for the first time. Which setting must be turned on in Setup before any prompt templates or Copilot features become usable?
A.Einstein Activity Capture
B.Einstein Generative AI (turn on the Einstein toggle in Einstein Setup)
C.Salesforce Inbox
D.Data Mask
Explanation: All Einstein generative AI capabilities, including Prompt Builder, Copilot, and the Trust Layer, depend on the Einstein toggle being enabled in Einstein Setup. Without it, the AI features are not exposed in the Lightning UI at all.
2A sales rep wants Salesforce to automatically draft a personalized follow-up email after a discovery call by pulling context from the related Opportunity, Account, and Contact records. Which Einstein generative AI feature is the BEST fit?
A.Einstein Sales Emails (Draft with Einstein)
B.Einstein Lead Scoring
C.Einstein Forecasting
D.Einstein Search
Explanation: Einstein Sales Emails (the Draft with Einstein action on the email composer) generates personalized email drafts grounded in CRM data such as Opportunity, Account, and Contact. It uses a standard Sales Email prompt template under the hood.
3A service manager wants Einstein to summarize long voice and chat conversations once a case is closed so agents can review them quickly. Which capability should be enabled?
A.Einstein Conversation Mining
B.Einstein Work Summaries / Conversation Summaries (Service Cloud)
C.Einstein Activity Capture
D.Einstein Discovery
Explanation: Einstein Work Summaries and Conversation Summaries in Service Cloud generate concise post-interaction summaries (issue, resolution, next steps) from voice and chat transcripts after the conversation ends.
4A service agent is composing a chat reply and wants Einstein to suggest a complete response based on the case context and the customer's last message. Which feature should the admin enable?
A.Einstein Reply Recommendations / Service Replies for Chat
B.Einstein Article Recommendations
C.Einstein Bots intent matching
D.Omni-Channel Routing
Explanation: Einstein Service Replies (also called Reply Recommendations for chat) generate full grounded reply suggestions for the agent in real time, drawing from case context and configured knowledge.
5Which Einstein for Sales feature uses generative AI to summarize the highlights, sentiment, and action items of a recorded sales call?
A.Einstein Conversation Insights / Call Summaries
B.Einstein Lead Scoring
C.Einstein Activity Capture
D.Einstein Opportunity Scoring
Explanation: Einstein Conversation Insights provides generative call summaries (key moments, action items, sentiment) from recorded sales calls. The other options are predictive scoring or sync features.
6A consultant is mapping AI use cases. Which scenario is the BEST candidate for an Einstein Field Generation prompt template rather than Sales Emails?
A.Drafting a thank-you email after a meeting
B.Auto-populating an Account 'Industry Description' text area based on the company name and website
C.Routing cases to the right queue
D.Predicting lead conversion probability
Explanation: Field Generation templates fill a single text or rich-text field on a record from a generative model. Drafting an email is a Sales Email template; routing and predictive scoring are not generative use cases at all.
7An admin is asked which Einstein capability is generative versus predictive. Which of the following is a PREDICTIVE Einstein feature, not a generative AI feature?
A.Einstein Sales Emails
B.Einstein Service Replies
C.Einstein Opportunity Scoring
D.Work Summaries
Explanation: Einstein Opportunity Scoring is a predictive ML model that returns a numeric score, not generated text. Sales Emails, Service Replies, and Work Summaries all use the LLM-based generative stack.
8A customer wants Einstein Sales Emails to draft a personalized email that references the most recent Opportunity stage AND the contact's most recent support case. Which design choice is required?
A.Use a Flex prompt template with both an Opportunity and a Case object reference, then call it from the email composer
B.Use the standard Sales Email template with merge fields only on Opportunity
C.Use a Field Generation template on the Contact
D.Use a Record Summary template on the Account
Explanation: When a single email needs context from multiple unrelated objects (Opportunity and Case), a Flex template is the right pick because it accepts multiple object inputs. The standard Sales Email template only grounds on one related record set, and Field Generation/Record Summary are not email-drafting templates.
9A Service Cloud admin wants generated case summaries to appear automatically when an agent wraps up a voice call. Which setting must be configured in addition to enabling Work Summaries?
A.A Conversation Summary prompt template assignment for the channel and Work Summary configuration on the case feed
B.A Flow that runs on case create only
C.A Validation Rule on Case
D.A Permission Set Group containing 'Manage Reports'
Explanation: Conversation/Work Summaries depend on the right channel-level configuration plus the prompt template that defines what gets generated. Flows, validation rules, and reporting permissions are not part of the summary generation pipeline.
10A consultant is asked which Einstein generative feature requires Data Cloud to function. Which of the following CANNOT be deployed without Data Cloud?
A.Standard Einstein Sales Emails
B.Service Replies for Chat
C.Einstein Copilot Search / generative answers grounded on unstructured Data Cloud content
D.Field Generation prompt templates that reference a single Salesforce record
Explanation: Generative answers grounded on unstructured content require Data Cloud retrievers because the unstructured documents and search index live in Data Cloud. Standard Sales Emails, Service Replies, and Field Generation templates work without Data Cloud as long as their grounding is on standard Salesforce records.

About the Salesforce AI Specialist Exam

The Salesforce Certified AI Specialist exam validates the practical skill needed to design, configure, and govern generative AI features on the Salesforce Platform. The current public exam guide focuses on Einstein Generative AI use cases, Prompt Builder templates and grounding, the Einstein Trust Layer, Model Builder and Bring Your Own Model, and how Copilot and Agentforce actions deliver AI experiences that respect security, sharing, and data governance.

Assessment

60 multiple-choice questions plus up to 5 unscored questions

Time Limit

105 minutes

Passing Score

73%

Exam Fee

$200 (Salesforce)

Salesforce AI Specialist Exam Content Outline

32%

Einstein Generative AI Features

Use-case selection across Sales, Service, and Industries, including sales emails, call summaries, service replies, work summaries, conversation summaries, and recommended actions.

30%

Prompt Builder

Designing prompt templates (Sales Email, Field Generation, Flex, Record Summary, Field-level), grounding via record snapshots, related lists, Flow, Apex, and Data Cloud, plus resolution and hyperparameter choices.

17%

Einstein Trust Layer

Secure data retrieval, dynamic grounding, data masking, prompt defense, toxicity detection, zero data retention, and the audit trail that supports responsible AI usage.

12%

Model Builder

Bring Your Own Model patterns with AWS Bedrock, AWS SageMaker, Google Vertex AI, OpenAI, Azure OpenAI, and Databricks, including model card configuration and connection to Prompt Builder.

9%

Agentforce / Copilot Actions

Standard, custom prompt, Apex, Flow, and MuleSoft actions; planner reasoning; permissions; and how Copilot or Agentforce respects sharing, security, and the Trust Layer.

How to Pass the Salesforce AI Specialist Exam

What You Need to Know

  • Passing score: 73%
  • Assessment: 60 multiple-choice questions plus up to 5 unscored questions
  • Time limit: 105 minutes
  • Exam fee: $200

Keys to Passing

  • Complete 500+ practice questions
  • Score 80%+ consistently before scheduling
  • Focus on highest-weighted sections
  • Use our AI tutor for tough concepts

Salesforce AI Specialist Study Tips from Top Performers

1Study in domain weight order: Einstein Generative AI Features and Prompt Builder together account for roughly 62% of the exam, so spend the most repetitions there.
2Build at least one prompt template of each type (Sales Email, Field Generation, Flex, Record Summary, Field Generation Field-level) in a Developer Edition so the differences become procedural rather than memorized.
3Practice every grounding option: record snapshots, related lists, Flow grounding, Apex grounding, and Data Cloud retrievers, including when each one is the right answer.
4Memorize the Einstein Trust Layer flow end to end: secure data retrieval, dynamic grounding, data masking, prompt defense, toxicity detection, zero data retention, and the audit trail.
5Know the Bring Your Own Model patterns for AWS Bedrock, AWS SageMaker, Google Vertex AI, OpenAI, Azure OpenAI, and Databricks, plus the model card and connection setup in Model Builder.
6Practice choosing among standard, custom prompt, Apex, Flow, and MuleSoft actions for Copilot and Agentforce based on the actual business requirement.
7Treat permissions and sharing as a constant background variable: many wrong answers fail because the user lacked the right Prompt Template Manager, Prompt Template User, or Einstein Studio permission set.

Frequently Asked Questions

How many questions are on the Salesforce AI Specialist exam?

Salesforce's official exam guide lists 60 scored multiple-choice questions plus up to 5 unscored items. The total testing window is 105 minutes, which works out to roughly one minute and forty-five seconds per scored question.

What score do you need to pass the AI Specialist exam?

Salesforce lists the passing score as 73%. The current $200 registration fee plus a $100 retake fee mirror the standard Salesforce specialist credential pricing for this AI track.

What is the most heavily tested domain?

Einstein Generative AI Features is the largest section at about 32% of the exam, with Prompt Builder a close second at about 30%. Together those two domains drive roughly 62% of scored items, so use-case selection and template design deserve the most study time.

Are there prerequisites for the AI Specialist exam?

No prerequisite certification is required. Salesforce recommends Salesforce Administrator-level platform familiarity plus hands-on practice with Prompt Builder, the Einstein Trust Layer, Model Builder, and grounding using Data Cloud or Salesforce records.

What is the Einstein Trust Layer and why does it matter?

The Einstein Trust Layer is Salesforce's security and governance framework for generative AI. It provides secure data retrieval, dynamic grounding, data masking, prompt defense, toxicity detection, zero data retention with third-party LLMs, and an audit trail. Trust Layer questions are common because every generative feature flows through it.

Which prompt template types should I memorize?

Know the five Prompt Builder template types in depth: Sales Email, Field Generation, Flex, Record Summary, and Field Generation Field-level. Be able to choose the right template for a given use case and explain which grounding sources, merge fields, and resolution settings apply to each.