AI Associate Ethical AI and Data Privacy Practice Question
A data scientist is building a custom AI model using Salesforce Data Cloud. They want to follow best practices for data minimisation and consent management. Which THREE steps 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
✓
Obtain consent from customers before using their data in the model
Using only relevant fields reduces unnecessary data collection, obtaining consent ensures compliance with privacy laws, and documenting data sources supports transparency and auditability.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Obtain consent from customers before using their data in the model
Why this is correct
Consent is a key requirement for data privacy compliance.
- ✗
Include all available fields in the model to maximize accuracy
Why it's wrong here
Including all fields violates data minimisation and may introduce bias or privacy risks.
- ✓
Document the data sources and features used in the model for auditability
Why this is correct
Documentation supports transparency and compliance.
- ✓
Select only the fields that are relevant to the prediction task
Why this is correct
Relevant fields only aligns with data minimisation.
- ✗
Use synthetic data instead of real customer data
Why it's wrong here
Synthetic data can be useful but is not a requirement for minimisation or consent.
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