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AI Fundamentals practice questions

Practise Salesforce AI Associate AI Associate AI Fundamentals practice questions — original exam-style scenarios with answer choices, explanations, and analysis of common mistakes.

Courseiva uses original exam-style practice questions designed for learning and revision. The goal is to understand the concepts, recognise exam patterns, and improve through explanations — not memorise copied exam dumps.

Reviewed byJohnson Ajibi· MSc IT Security
20 questionsDomain: AI Fundamentals
Practice 10 questionsBrowse domain →

What the exam tests

What to know about AI Fundamentals

AI Fundamentals questions test whether you can apply the concept in context, not just recognise a definition.

How the topic appears in realistic exam-style scenarios.

Which detail in the question changes the correct answer.

How to eliminate plausible but wrong options.

How to connect the question back to the wider exam objective.

Watch out for

Common AI Fundamentals exam traps

  • ▸Answering from memory before reading the full scenario.
  • ▸Missing a constraint such as cost, availability, security, scope or command context.
  • ▸Choosing a broad answer when the question asks for the most specific fix.
  • ▸Ignoring why the wrong options are tempting.

Practice set

AI Fundamentals questions

20 questions · select your answer, then reveal the explanation

Question 1mediummultiple choice
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A retail company uses Einstein Prediction Service to forecast customer churn. To improve model accuracy, which data preparation step is most critical?

Question 2easymultiple choice
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A sales manager wants to use Einstein Activity Capture to log emails automatically. Which prerequisite must be met?

Question 3hardmultiple choice
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A company uses Einstein Bots to handle customer service inquiries. The bot often fails to understand complex requests, leading to escalations. Which improvement strategy is most effective?

Question 4easymultiple choice
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A nonprofit uses Einstein Vision to classify images of disaster areas. What is the primary benefit of using AI for this task?

Question 5mediummultiple choice
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A company deploys Einstein Recommendation Builder on its e-commerce site. The recommendations are not personalized. What is the most likely cause?

Question 6hardmultiple choice
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An admin notices that Einstein Activity Capture is logging duplicate email records. Which action should be taken to resolve this?

Question 7easymultiple choice
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A marketing team wants to use Einstein Engagement Scoring to prioritize leads. What is the primary input for this AI feature?

Question 8mediummulti select
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Which TWO actions are best practices when implementing Einstein Prediction Service?

Question 9hardmulti select
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Which THREE are valid considerations when deploying an Einstein Bot?

Question 10easymulti select
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Which TWO data types can be used as input for Einstein Vision?

Question 11mediummultiple choice
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Based on the exhibit, what does the accuracy of 0.85 indicate?

Exhibit

Refer to the exhibit.

```json
{
  "aiModel": {
    "type": "EinsteinPredictionService",
    "object": "Opportunity",
    "field": "Amount",
    "predictionField": "WinProbability",
    "trainingData": {
      "records": 5000,
      "features": ["Stage", "CloseDate", "Amount", "LeadSource"],
      "outcomeField": "IsWon"
    },
    "status": "TrainingComplete",
    "accuracy": 0.85
  }
}
```
Question 12hardmultiple choice
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Based on the exhibit, what is the primary issue with this Einstein Bot conversation?

Exhibit

Refer to the exhibit.

```
User: What is my order status?
Bot: I can help with order status. Please provide your order number.
User: I don't have it.
Bot: Sorry, I cannot proceed without an order number.
User: Can you look up by my email?
Bot: I cannot look up by email. Please contact support.
```
Question 13mediummultiple choice
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A sales team is using Einstein Lead Scoring, but the scores for new leads seem inconsistent and not reflecting recent conversion patterns. The admin checks the model and finds it was trained three months ago. Which action should the admin take to improve model accuracy?

Question 14easymultiple choice
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A company wants to use Einstein Activity Capture to log emails and events automatically. Which two considerations should the admin evaluate before enabling this feature?

Question 15hardmultiple choice
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Refer to the exhibit. An admin configures Einstein Next Best Action with the above JSON. The expected behavior is to recommend the top 5 actions for open leads with a score of at least 70. However, only 2 recommendations appear for some leads. Which is the most likely cause?

Exhibit

Refer to the exhibit.

{
  "type": "EinsteinNextBestAction",
  "recommendationStrategy": "Most Likely to Convert",
  "filters": {
    "object": "Lead",
    "field": "Status",
    "operator": "equals",
    "value": "Open"
  },
  "maxRecommendations": 5,
  "scoreThreshold": 70
}
Question 16hardmultiple choice
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A global manufacturing company uses Sales Cloud and has implemented Einstein Opportunity Scoring to prioritize deals. The scoring model was trained on historical data and initially performed well. Over the past month, the scores have become less accurate, with many high-scoring opportunities not closing and some low-scoring ones closing. The admin notices that the sales team has been using a new discounting strategy that heavily influences deal outcomes. The admin wants to improve model performance without manual intervention. Which action should the admin take?

Question 17mediummultiple choice
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A nonprofit organization uses Salesforce to manage donor relationships. They have implemented Einstein Prediction Builder to predict which donors are likely to upgrade their donation level in the next 90 days. The model was built using a custom object "Donation" with fields like Amount, Frequency, and Campaign. After deployment, the predictions seem random and do not correlate with donor engagement. The admin suspects the model is not trained on enough records. The organization has 500 donors with at least two donations each. What should the admin do to improve the model?

Question 18easymultiple choice
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A marketing manager uses Einstein recommendations on their website, but customers are receiving suggestions for products they already purchased. What is the most likely cause?

Question 19easymultiple choice
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A company wants to use Einstein Prediction Builder to predict customer churn. They have a dataset with 10,000 records and 50 features. What is the primary consideration for model accuracy?

Question 20mediummultiple choice
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A Salesforce admin notices that Einstein Case Classification in Service Cloud is suggesting categories that frequently require manual correction. Which action should the admin take first?

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Frequently asked questions

What does the AI Associate exam test about AI Fundamentals?
AI Fundamentals questions test whether you can apply the concept in context, not just recognise a definition.
How should I use these practice questions?
Select your answer before revealing the explanation. Then read why each option is right or wrong — this active recall approach builds retention far faster than re-reading notes.
Can I practise just AI Fundamentals questions in a focused session?
Yes — the session launcher on this page draws every question from the AI Fundamentals domain. Use a 10-question session first to gauge your baseline, then move to 20 or 30 once the weak spots are clear.
Where can I practise other AI Associate topics?
Use the topic links above to move to related areas, or go back to the AI Associate question bank to see all topics.
Are these real exam questions or dumps?
These are original practice questions written to test the same concepts the AI Associate exam covers. They are not copied from any real exam or dump site.