Free AI Associate practice test — 920+ AI Associate practice questions with detailed explanations across all 6 official AI Associate exam domains. Every set is scored and drawn from the live question bank — so you practise exactly what the exam tests, not outdated dumps.
Courseiva includes 920+ Salesforce AI Associate AI Associate practice questions across the official exam domains.
Feature
Courseiva
This free AI Associate practice test mirrors the structure and difficulty of the real Salesforce AI Associate AI Associate exam. Every question is written against the official 2026 exam blueprint published by Salesforce, ensuring you practise exactly what the exam tests — not last year's objectives.
The AI Associate blueprint is divided into 6weighted domains. Questions on this page are distributed proportionally across each domain, so the mix you see here reflects the same weighting you'll face on exam day. High-weight domains like Ethical Considerations of AI and Data for AI contribute the most questions, meaning focused practice on these areas gives you the highest return on study time.
AI Associate Exam Blueprint — 6 Domains
AI Fundamentals
AI Capabilities in CRM
Ethical Considerations of AI
Ethical AI and Data Privacy
Salesforce Einstein AI Features
Data for AI
61 numbered sets, 6 domain question banks, and targeted sessions — every page is a unique set of questions.
Choose all correct answers
Each chapter page covers one topic in depth — theory, key concepts, and focused practice questions. Use these to close knowledge gaps before returning to full practice tests.
Getting the most from practice questions requires more than just clicking through answers. Here is the study method used by candidates who pass AI Associate on their first attempt:
Answer before revealing
Read each AI Associate question fully, eliminate obviously wrong choices, then commit to an answer before clicking to reveal. This active recall process is what builds lasting knowledge.
Read every explanation
Even when you answer correctly, read the full explanation. Knowing WHY the right answer is correct — and why the distractors are wrong — is what separates a 750 score from a 900 score.
Track weak domains
Note which AI Associate domains you get wrong most often. Then do a targeted 20-30 question session focused only on that domain until your accuracy improves.
Simulate exam pacing
The real AI Associate gives you roughly 1.8 minutes per question. Use the 60 or 120-question sessions to practise hitting that pace comfortably.
Most candidates who pass AI Associate on their first attempt report doing between 400 and 800 practice questions over 4–8 weeks of preparation. With 920+ questions in the Courseiva bank, you have more than enough material to build that repetition without seeing the same question twice.
Answer each question to reveal the full explanation and correct answer. This starter set is drawn from all 6 exam domains in blueprint proportion. Use the session selector to start a longer focused practice run.
A sales director wants to implement lead scoring but has no historical data on which leads converted. What approach can the team use to start?
Select an answer to reveal the explanation
A sales director wants to use AI to prioritize leads that are most likely to convert. The company has historical data on leads that includes whether they converted (yes/no) and various attributes. Which machine learning type should be used?
Select an answer to reveal the explanation
A sales manager wants to implement Einstein Automated Contacts to automatically create contacts from email interactions. The admin enables the feature and assigns the permission set. However, no contacts are being created automatically. What is the most likely reason?
Select an answer to reveal the explanation
A healthcare provider uses an AI model to predict patient readmission risk. The model is trained on historical data that underrepresents minority populations. What is the MOST significant ethical risk?
Select an answer to reveal the explanation
An organization uses Einstein to predict sales opportunities. They notice the model performs poorly for small businesses. What is the most ethical approach?
Select an answer to reveal the explanation
A sales team uses an AI tool to recommend products to customers. The tool recommends high-commission products over what best fits the customer. Which ethical principle is being violated?
Select an answer to reveal the explanation
A retail company deploys an AI system that adjusts prices dynamically based on customer browsing history. The system charges higher prices to returning customers. This practice is known as:
Select an answer to reveal the explanation
A Salesforce developer is building an AI model to predict customer churn. What is the most important ethical consideration when collecting training data?
Select an answer to reveal the explanation
A non-profit organization uses Salesforce AI to help prioritize grant applications. The AI scores applications based on historical funding decisions, project impact, and community need indicators. After deployment, staff notices that applications from rural areas consistently receive lower scores than those from urban areas, even when project quality is similar. The organization's mission is to serve underserved communities, including rural areas. The AI model is trained on historical data that favored larger, urban projects. The ethics committee is meeting to decide next steps. What is the most appropriate action to align ethical AI with the organization's mission?
Select an answer to reveal the explanation
A company deploys an AI-powered email composer for sales reps. The legal team requires that every AI-generated email be reviewed by a human before sending to a customer. Which approach aligns with Salesforce's Trusted AI Principle of Empathy and Human Oversight?
Select an answer to reveal the explanation
Which Einstein feature provides automated statistical analysis of Salesforce data, including story creation and improvement suggestions?
Select an answer to reveal the explanation
A company wants to use customer purchase history to train a recommendation model. Which action is essential to comply with data privacy regulations?
Select an answer to reveal the explanation
A company wants to use Einstein Article Recommendations to surface relevant knowledge articles to its support agents. What two data components are required to set up this feature?
Select an answer to reveal the explanation
A Salesforce admin is preparing a dataset for Einstein Prediction Builder. The dataset contains a field "Income" with many missing values. The admin wants to minimize bias in the model. What is the best practice?
Select an answer to reveal the explanation
A retailer's AI model for recommendation is producing poor results. Analysis shows that the customer entity has many duplicate records with slight variations. Which Data Cloud feature should be used to address this?
Select an answer to reveal the explanation
A team has limited labeled data for a Salesforce predictive model but wants to leverage a pre-trained model from a related task. Which machine learning approach should they use?
Select an answer to reveal the explanation
When training an Einstein Discovery model, which data type is not supported as a predictor field?
Select an answer to reveal the explanation
A data scientist is building a churn prediction model using Einstein Discovery. They want to ensure the model does not rely on sensitive attributes like race or gender, even if those are correlated with other features. Which technique is MOST aligned with Salesforce's data minimisation principle?
Select an answer to reveal the explanation
A company is deploying Einstein Reply Recommendations for a sales team. To comply with Salesforce's Trusted AI principle of transparency, what must the company ensure about the AI-generated replies?
Select an answer to reveal the explanation
A financial services company is deploying Einstein AI and must comply with regulations requiring explainable decisions. Which Einstein capability allows them to understand why an AI model made a specific prediction?
Select an answer to reveal the explanation
Answer all 20 questions to see your domain score breakdown
A structured study plan dramatically increases your chances of passing AI Associate on the first attempt. The most effective approach combines reading the official Salesforce documentation or a study guide, watching video explanations for difficult concepts, and then reinforcing everything with daily practice questions.
We recommend the following weekly structure for AI Associate preparation:
Cover each AI Associate domain systematically. Read the exam objectives, watch explanatory content, and do 10–20 practice questions per domain to test understanding as you go.
Run full 50–60 question mixed sessions daily. Review every wrong answer in detail. Identify which domains are consistently scoring below 70% and revisit those study materials.
Do 100–120 question timed sessions to simulate real exam conditions. Aim for consistent scores above 80% before booking your exam date. A score above 80% in practice typically translates to a passing AI Associate score.
On exam day, the AI Associate tests your ability to apply knowledge to realistic scenarios — not just recall definitions. This is why reading explanations and understanding the reasoning behind every answer matters more than simply grinding question volume. Use the high-count sessions (100, 120) in the final weeks as your confidence benchmark.
Questions
40
On the real exam
Time limit
70 min
1.8 min per question
Passing score
65/1000
Scaled scoring
The AI Associate exam uses a scaled scoring system — your raw score of correct answers is converted to a score out of 1000. A passing score of 65/1000 does not mean you need 7% of questions correct; the conversion accounts for question difficulty. Consistently scoring above 75–80% on practice tests puts you in a strong position to achieve 65/1000 on the real exam.
Scenario-based questions covering exam objectives with detailed answer explanations.
Yes. Courseiva provides free Salesforce AI Associate AI Associate practice questions with explanations across the official exam domains. Start with a quick practice test, then continue with topic-based practice, mock exams, missed-question review, bookmarked questions, weak-topic recommendations, and readiness tracking. No account required. Create a free account to unlock per-domain analytics and progress tracking across every certification on the platform. Courseiva is free forever, supported by advertising.
Every question is written against the official AI Associate exam blueprint published by Salesforce. Our questions follow the same wording style, scenario complexity, and answer structure as the actual exam. They are original questions — not brain dumps — so you learn the underlying concepts and reasoning, not just memorised answers. Candidates who study with brain dumps often pass but have no transferable knowledge; Courseiva questions make you genuinely competent.
Most candidates who pass AI Associate on their first attempt do 30–60 questions per day. Use the Quick 10 session for daily warm-ups when you are short on time. On study days, run a 50 or 60-question session to build stamina. Reserve 100 and 120-question sessions for the final two weeks when you want to simulate real exam conditions and benchmark your readiness.
The AI Associate covers 6 domains: AI Fundamentals (17%), AI Capabilities in CRM (8%), Ethical Considerations of AI (39%), Ethical AI and Data Privacy (0%), Salesforce Einstein AI Features (0%), Data for AI (36%). Each domain carries a different weight, so allocate your study time accordingly. The highest-weighted domains — Ethical Considerations of AI and Data for AI — should receive the most attention.
Exam dumps are memorised question-and-answer lists taken from actual exam papers, often obtained illegally and shared without Salesforce's authorisation. Using them violates your NDA and Salesforce's certification agreement, and can result in certification revocation. Courseiva questions are original — AI-assisted, checked against the official exam objectives, and published under the editorial oversight of an engineer with 12+ years' experience. They test the same knowledge areas using new scenarios and wording. You learn the material, not just the answers.
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