This AI Associate practice question tests your understanding of ai fundamentals. 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.
Which TWO of the following are key principles of trustworthy AI according to Salesforce's AI ethics guidelines?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Transparency
Transparency is a core principle of trustworthy AI because it requires that AI systems operate in a way that is open and understandable, allowing stakeholders to see how decisions are made. Salesforce's AI ethics guidelines emphasize transparency to ensure that users can trust the system's outputs and that any biases or limitations are visible.
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.
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Profitability
Why it's wrong here
Profitability is a business goal, not an ethical principle.
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Complexity
Why it's wrong here
Complexity is not a principle; simplicity may be preferred.
✓
Transparency
Why this is correct
Transparency ensures users understand how AI decisions are made.
Related concept
Read the scenario before looking for a memorised answer.
✓
Explainability
Why this is correct
Explainability means AI outcomes can be interpreted by humans.
Related concept
Read the scenario before looking for a memorised answer.
✗
Accountability
Why it's wrong here
Accountability is relevant but not specifically highlighted as a principle in this context; we need two correct.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Salesforce often tests the distinction between 'accountability' (a broader governance concept) and 'explainability' (a specific technical principle), leading candidates to mistakenly select accountability when the question explicitly asks for the two key principles from Salesforce's guidelines.
Detailed technical explanation
How to think about this question
Transparency in AI often involves providing clear documentation of model architecture, training data, and decision boundaries, such as through model cards or datasheets. Explainability goes a step further by using techniques like SHAP or LIME to generate local or global feature importance scores, enabling users to understand why a specific prediction was made. In practice, these principles help meet regulatory requirements like the EU AI Act's 'right to explanation' for high-risk systems.
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.
AI Fundamentals — This question tests AI Fundamentals — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Transparency — Transparency is a core principle of trustworthy AI because it requires that AI systems operate in a way that is open and understandable, allowing stakeholders to see how decisions are made. Salesforce's AI ethics guidelines emphasize transparency to ensure that users can trust the system's outputs and that any biases or limitations are visible.
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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Question Discussion
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