20+ practice questions focused on AI Fundamentals — one of the most tested topics on the Salesforce AI Associate AI Associate exam. Each question includes a detailed explanation so you learn why the right answer is correct.
Start AI Fundamentals PracticeAn admin notices that Einstein Activity Capture is logging duplicate email records. Which action should be taken to resolve this?
Explanation: Einstein Activity Capture logs email activities by matching the sender or recipient email addresses to Contact records in Salesforce. If a Contact has multiple email addresses marked as primary, the system can become confused about which record to associate the email with, leading to duplicate log entries. Verifying that each Contact has only one primary email address resolves this by ensuring a unique mapping for email-to-record association.
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?
Explanation: Retraining the Einstein Lead Scoring model with the most recent lead data will incorporate current conversion patterns, improving accuracy. Option B is incorrect because manually overriding scores undermines the model's machine learning basis and is not scalable. Option C is incorrect because increasing field history retention affects historical tracking, not model retraining or score accuracy. Option D is incorrect because field-level security controls data access for users, not model training inputs.
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?
Explanation: Einstein models learn from user feedback; correcting predictions helps improve accuracy. Option A is wrong because routing before fixing classification may propagate errors. Option C is wrong because starting over is unnecessary; the model can be improved incrementally. Option D is wrong because adding categories without tuning may degrade performance.
An organization uses Einstein Search to power a portal's search functionality. Users report that search results are not ranking relevant documents highly. Which configuration change is most likely to improve relevance?
Explanation: Tuning the search algorithm to promote frequently accessed content can improve relevance ranking by prioritizing popular or authoritative documents. Option A is incorrect because stemming and synonyms improve recall but do not directly enhance ranking. Option C is incorrect because increasing indexed fields can add noise and dilute relevance. Option D is incorrect because decreasing index refresh frequency affects freshness, not the ranking algorithm.
A company uses Einstein GPT to answer customer inquiries. To improve response relevance, the admin wants to restrict the AI's knowledge to only the company's product catalog and knowledge articles. Which approach should the admin use?
Explanation: Correct: Grounding the prompt with specific data sources (Option A) restricts the AI's knowledge to the provided context (product catalog and knowledge articles). Option C (fine-tuning) adjusts model weights but does not limit knowledge in real-time. Option D (prompt engineering) without grounding does not enforce the restriction. Option B (zero-shot learning) lacks context and does not restrict knowledge.
+15 more AI Fundamentals questions available
Practice all AI Fundamentals questions1. Baseline your knowledge
Start with 10 questions to gauge your current understanding of AI Fundamentals. This tells you whether you need a concept refresher or just practice.
2. Review every explanation
For each question — right or wrong — read the full explanation. Understanding why an answer is correct is more valuable than knowing the answer itself.
3. Focus on exam traps
AI Fundamentals questions on the AI Associate frequently use trap wording. Look for subtle differences in answers that test your precision, not just general knowledge.
4. Reach 80% consistently
Do repeated sessions until you score 80%+ three times in a row. Then move to mixed-mode practice to test cross-topic recall under realistic conditions.
The exact number varies per candidate. AI Fundamentals is tested as part of the Salesforce AI Associate AI Associate blueprint. Practicing with targeted AI Fundamentals questions ensures you can handle any format or difficulty that appears.
Yes. Courseiva provides free AI Associate practice questions across all exam topics and domains. The platform includes topic-based practice, mock exams, missed-question review, bookmarked questions, and readiness tracking — no account required.
Difficulty is subjective, but AI Fundamentals is a high-priority exam concept tested in multiple ways — direct recall, scenario analysis, and command-output interpretation. Consistent practice is the best way to build confidence.
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