AI Associate Ethical AI and Data Privacy Practice Question
A company is deploying an Einstein chatbot to handle customer support inquiries. They want to ensure compliance with data privacy regulations and ethical AI principles. Which TWO actions should they take?
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
✓
Enable PII masking in the Einstein Trust Layer
PII masking protects customer privacy by removing sensitive data from requests. Human oversight ensures that automated decisions are reviewed when necessary, especially for high-stakes interactions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Disable audit trails to reduce data storage
Why it's wrong here
Audit trails are required for compliance and transparency.
- ✓
Enable PII masking in the Einstein Trust Layer
Why this is correct
PII masking redacts personal data before sending to the LLM, protecting privacy.
- ✓
Configure the chatbot to require human approval before sending responses that involve sensitive topics
Why this is correct
Human oversight for sensitive topics ensures ethical and compliant responses.
- ✗
Store all customer chat logs indefinitely for model retraining
Why it's wrong here
Storing logs indefinitely violates data minimisation and retention policies.
- ✗
Allow the chatbot to use all available customer data without restrictions
Why it's wrong here
Unrestricted data usage violates data minimisation and privacy principles.
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Same concept, more angles
1 more way this is tested on AI Associate
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A financial services company is deploying an Einstein chatbot that provides investment advice. They want to ensure that if the chatbot generates a potentially harmful recommendation (e.g., suggesting a risky trade), the message is blocked before reaching the customer. Which Einstein Trust Layer capability should they rely on?
hard- ✓ A.Toxicity detection
- B.Grounding
- C.Zero data retention
- D.PII masking
Why A: Toxicity detection identifies harmful or offensive content. In this context, harmful financial advice can be flagged as toxic. Human oversight (agent review) would also be applicable, but the question specifically asks about blocking before reaching the customer via a capability of the Trust Layer.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.