- A
Provide a chatbot that can explain the recommendations
Why wrong: While helpful, this is not a substitute for upfront disclosure. Honesty requires proactive communication, not just reactive explanation.
- B
Use a generic label like 'Recommended for you'
Why wrong: Vague labels do not inform users that AI is involved; Honesty requires explicit mention of AI.
- C
Include a note stating 'Recommended by Einstein AI' on each recommendation
Clear disclosure that recommendations are AI-generated is honest and transparent, aligning with the principle of Honesty.
- D
Do not mention AI; just show the recommendations
Why wrong: Omitting disclosure misleads users into thinking recommendations are human-curated, which is dishonest.
Question 697 of 1,000
AI Associate Ethical AI and Data Privacy Practice Question
This AI Associate practice question tests your understanding of ethical ai and data privacy. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 is deploying Einstein Article Recommendations on its customer portal. They want to ensure customers know that recommendations are AI-generated. Which action aligns with the Salesforce Trusted AI Principle of Honesty?
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
✓
Include a note stating 'Recommended by Einstein AI' on each recommendation
Option C is correct because the Salesforce Trusted AI Principle of Honesty requires transparency about AI-generated content. By explicitly stating 'Recommended by Einstein AI' on each recommendation, the company clearly discloses that the recommendations are AI-generated, building trust with customers. This aligns with the principle's focus on avoiding deception and ensuring users understand the nature of the content they are seeing.
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.
- ✗
Provide a chatbot that can explain the recommendations
Why it's wrong here
While helpful, this is not a substitute for upfront disclosure. Honesty requires proactive communication, not just reactive explanation.
- ✗
Use a generic label like 'Recommended for you'
Why it's wrong here
Vague labels do not inform users that AI is involved; Honesty requires explicit mention of AI.
- ✓
Include a note stating 'Recommended by Einstein AI' on each recommendation
Why this is correct
Clear disclosure that recommendations are AI-generated is honest and transparent, aligning with the principle of Honesty.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Do not mention AI; just show the recommendations
Why it's wrong here
Omitting disclosure misleads users into thinking recommendations are human-curated, which is dishonest.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between indirect transparency (like a chatbot) and direct, upfront disclosure (like a label), leading candidates to choose an option that seems helpful but does not satisfy the specific requirement of the Honesty principle.
Detailed technical explanation
How to think about this question
The Salesforce Trusted AI Principle of Honesty is part of a broader framework that includes principles like Accountability, Transparency, and Privacy. In practice, Einstein Article Recommendations use machine learning models to analyze user behavior and article metadata to generate personalized suggestions. A subtle behavior is that the AI model may occasionally produce recommendations that seem irrelevant or biased, making explicit disclosure critical for managing user expectations and allowing for feedback loops to improve model accuracy. In a real-world scenario, a financial services portal using Einstein must ensure that AI-generated investment recommendations are clearly labeled to comply with regulatory requirements like GDPR or FINRA rules, where transparency about automated decision-making is mandatory.
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.
- →
Ethical AI and Data Privacy — study guide chapter
Learn the concepts, then practise the questions
- →
Ethical AI and Data Privacy practice questions
Targeted practice on this topic area only
- →
All AI Associate questions
1,000 questions across all exam domains
- →
Salesforce AI Associate AI Associate study guide
Full concept coverage aligned to exam objectives
- →
AI Associate practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related AI Associate practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Ethical AI and Data Privacy practice questions
Practise AI Associate questions linked to Ethical AI and Data Privacy.
Salesforce Einstein AI Features practice questions
Practise AI Associate questions linked to Salesforce Einstein AI Features.
AI Fundamentals practice questions
Practise AI Associate questions linked to AI Fundamentals.
AI Capabilities in CRM practice questions
Practise AI Associate questions linked to AI Capabilities in CRM.
Ethical Considerations of AI practice questions
Practise AI Associate questions linked to Ethical Considerations of AI.
Data for AI practice questions
Practise AI Associate questions linked to Data for AI.
AI Associate fundamentals practice questions
Practise AI Associate questions linked to AI Associate fundamentals.
AI Associate scenario practice questions
Practise AI Associate questions linked to AI Associate scenario.
AI Associate troubleshooting practice questions
Practise AI Associate questions linked to AI Associate troubleshooting.
Practice this exam
Start a free AI Associate practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Questions learners often ask
What does this AI Associate question test?
Ethical AI and Data Privacy — This question tests Ethical AI and Data Privacy — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Include a note stating 'Recommended by Einstein AI' on each recommendation — Option C is correct because the Salesforce Trusted AI Principle of Honesty requires transparency about AI-generated content. By explicitly stating 'Recommended by Einstein AI' on each recommendation, the company clearly discloses that the recommendations are AI-generated, building trust with customers. This aligns with the principle's focus on avoiding deception and ensuring users understand the nature of the content they are seeing.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Last reviewed: Jul 4, 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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.