- A
Email-to-case logs and Knowledge Article feedback
Why wrong: Email logs and feedback are not required data sources.
- B
Knowledge Article View event data and Case records
Article views show which articles were read; Cases provide context for recommendations.
- C
Knowledge Article categories and Case priority
Why wrong: Categories are optional; priority is not used for article recommendations.
- D
Community user activity and Knowledge Article ratings
Why wrong: Community data is not required; ratings are not used by Einstein Article Recommendations.
Question 663 of 1,000
AI Associate Data for AI Practice Question
This AI Associate practice question tests your understanding of data for ai. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Knowledge Article View event data and Case records
Einstein Article Recommendations uses historical Knowledge Article View event data to understand which articles agents have found useful in the past, and Case records to provide context about the current issue. By analyzing patterns between case attributes and article views, the AI can predict and surface the most relevant articles for a given case. Without both data components, the recommendation engine cannot learn the association between case details and article usefulness.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Email-to-case logs and Knowledge Article feedback
Why it's wrong here
Email logs and feedback are not required data sources.
- ✓
Knowledge Article View event data and Case records
Why this is correct
Article views show which articles were read; Cases provide context for recommendations.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Knowledge Article categories and Case priority
Why it's wrong here
Categories are optional; priority is not used for article recommendations.
- ✗
Community user activity and Knowledge Article ratings
Why it's wrong here
Community data is not required; ratings are not used by Einstein Article Recommendations.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Salesforce often tests the distinction between optional enhancement data (like ratings or categories) and the mandatory data sources (view events and case records) required to train the recommendation model.
Detailed technical explanation
How to think about this question
Under the hood, Einstein Article Recommendations builds a collaborative filtering model using the KnowledgeArticleViewEvent object, which records each time an agent opens an article while working on a case. The model correlates case fields (e.g., subject, type, product) with viewed articles to generate a ranked list of suggestions. In a real-world scenario, if an agent frequently opens a specific troubleshooting article for cases with a certain product line, the AI will prioritize that article for future similar cases, even if the article has never been rated.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the AI Associate exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this AI Associate question test?
Data for AI — This question tests Data for AI — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Knowledge Article View event data and Case records — Einstein Article Recommendations uses historical Knowledge Article View event data to understand which articles agents have found useful in the past, and Case records to provide context about the current issue. By analyzing patterns between case attributes and article views, the AI can predict and surface the most relevant articles for a given case. Without both data components, the recommendation engine cannot learn the association between case details and article usefulness.
What should I do if I get this AI Associate question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 2026
This AI Associate practice question is part of Courseiva's free Salesforce certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI Associate exam.
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