- A
Remove gender and ethnicity features from the model
Why wrong: Removing features does not guarantee fairness; proxies may exist.
- B
Conduct a bias audit and fairness assessment using relevant metrics
An audit identifies the extent and sources of bias to inform remediation.
- C
Publish the model's decision-making criteria to the public
Why wrong: Full disclosure may violate IP and does not inherently fix bias.
- D
Immediately adjust the approval threshold to equalize rates
Why wrong: Adjusting thresholds without analysis may not address bias properly.
Question 201 of 1,000
AI0-001 AI Security, Ethics and Governance Practice Question
This AI0-001 practice question tests your understanding of ai security, ethics and governance. 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 financial institution uses an AI model to approve small business loans. The model has a high approval rate for women-owned businesses but low for minority-owned businesses. The compliance officer is concerned about disparate impact. Which governance process should be implemented first?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"first"Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
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
✓
Conduct a bias audit and fairness assessment using relevant metrics
Option B is correct: a bias audit and fairness assessment should be conducted first to quantify the disparate impact and identify root causes. Option A is wrong because simply removing sensitive features does not guarantee fairness and may be insufficient or illegal. Option C is wrong because publishing decision-making criteria without first addressing bias could expose the institution to liability and undermine trust. Option D is wrong because adjusting the approval threshold without thorough analysis can be arbitrary, may not address underlying bias, and could lead to reverse discrimination or mask systemic issues.
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.
- ✗
Remove gender and ethnicity features from the model
Why it's wrong here
Removing features does not guarantee fairness; proxies may exist.
- ✓
Conduct a bias audit and fairness assessment using relevant metrics
Why this is correct
An audit identifies the extent and sources of bias to inform remediation.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
CIDR notation defines the prefix length.
- ✗
Publish the model's decision-making criteria to the public
Why it's wrong here
Full disclosure may violate IP and does not inherently fix bias.
- ✗
Immediately adjust the approval threshold to equalize rates
Why it's wrong here
Adjusting thresholds without analysis may not address bias properly.
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 AI0-001 subnetting questions on CIDR, address ranges, and subnet selection.
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FAQ
Questions learners often ask
What does this AI0-001 question test?
AI Security, Ethics and Governance — This question tests AI Security, Ethics and Governance — CIDR notation defines the prefix length..
What is the correct answer to this question?
The correct answer is: Conduct a bias audit and fairness assessment using relevant metrics — Option B is correct: a bias audit and fairness assessment should be conducted first to quantify the disparate impact and identify root causes. Option A is wrong because simply removing sensitive features does not guarantee fairness and may be insufficient or illegal. Option C is wrong because publishing decision-making criteria without first addressing bias could expose the institution to liability and undermine trust. Option D is wrong because adjusting the approval threshold without thorough analysis can be arbitrary, may not address underlying bias, and could lead to reverse discrimination or mask systemic issues.
What should I do if I get this AI0-001 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 AI0-001 subnetting questions on CIDR, address ranges, and subnet selection.
Are there clue words in this question I should notice?
Yes — watch for: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
What is the key concept behind this question?
CIDR notation defines the prefix length.
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Last reviewed: Jun 23, 2026
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