- A
Disable audit trails to reduce data storage
Why wrong: Audit trails are required for compliance and transparency.
- B
Enable PII masking in the Einstein Trust Layer
PII masking redacts personal data before sending to the LLM, protecting privacy.
- C
Configure the chatbot to require human approval before sending responses that involve sensitive topics
Human oversight for sensitive topics ensures ethical and compliant responses.
- D
Store all customer chat logs indefinitely for model retraining
Why wrong: Storing logs indefinitely violates data minimisation and retention policies.
- E
Allow the chatbot to use all available customer data without restrictions
Why wrong: Unrestricted data usage violates data minimisation and privacy principles.
Question 262 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 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.
Key principle: Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets.
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.
Related concept
CIDR notation defines the prefix length.
- ✓
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.
Related concept
CIDR notation defines the prefix length.
- ✗
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.
Common exam traps
Common exam trap: usable hosts are not the same as total addresses
Subnetting questions often tempt you into counting all addresses. In normal IPv4 subnets, the network and broadcast addresses are not usable host addresses.
Detailed technical explanation
How to think about this question
Subnetting questions test whether you can identify the network, broadcast address, usable range, mask and correct subnet. Slow down enough to calculate the block size correctly.
KKey Concepts to Remember
- CIDR notation defines the prefix length.
- Block size helps identify subnet boundaries.
- Network and broadcast addresses are not usable hosts in normal IPv4 subnets.
- The required host count determines the smallest suitable subnet.
TExam Day Tips
- Write the block size before choosing the subnet.
- Check whether the question asks for hosts, subnets or a specific address range.
- Do not confuse /24, /25, /26 and /27 host counts.
Key takeaway
Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets.
Real-world example
How this comes up in practice
A network engineer segments a warehouse floor into three subnets: 20 scanners, 5 printers, and 2 management hosts. Picking the wrong mask wastes addresses or leaves too few usable hosts. Exam questions test whether you can apply CIDR notation, calculate block size, and identify the correct usable-host range for a given prefix.
What to study next
Got this wrong? Here's your next step.
Review block sizes, usable host formulas (2^n − 2), and how to find network and broadcast addresses for /24 through /30. Then practise related AI Associate subnetting questions on CIDR, address ranges, and subnet selection.
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Ethical AI and Data Privacy — study guide chapter
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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 — CIDR notation defines the prefix length..
What is the correct answer to this question?
The correct answer is: 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.
What should I do if I get this AI Associate question wrong?
Review block sizes, usable host formulas (2^n − 2), and how to find network and broadcast addresses for /24 through /30. Then practise related AI Associate subnetting questions on CIDR, address ranges, and subnet selection.
What is the key concept behind this question?
CIDR notation defines the prefix length.
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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.
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