Responsible AI & Bias Detection — PMLE Practice Question
A representative Google Cloud Professional Machine Learning Engineer (PMLE) exam question on Responsible AI & Bias Detection. Work through it below, then read why each option is right or wrong.
This question is part of the free Google Cloud Professional Machine Learning Engineer practice test.
Short answer
The correct answer is B. Implement bias detection and mitigation strategies to prevent the agent from making discriminatory recommendations based on protected attributes..
Responsible AI requires identifying and mitigating bias, especially in high-stakes decisions like hiring where protected attributes (age, gender) can lead to discriminatory outcomes. Bias detection and mitigation are foundational responsible AI practices. Audit logging addresses compliance but not fairness. IAM roles and VPC Service Controls are security controls, not responsible AI fairness measures. Multi-region deployment addresses availability, not ethical AI behavior.
The Question
Your organization is deploying a Gemini Enterprise Agent on Vertex AI to assist HR staff in reviewing job applications. The application processes sensitive personal data including age, gender, and educational background. What is the primary responsible AI consideration you must address before deployment?
Why B is correct
Responsible AI requires identifying and mitigating bias, especially in high-stakes decisions like hiring where protected attributes (age, gender) can lead to discriminatory outcomes. Bias detection and mitigation are foundational responsible AI practices. Audit logging addresses compliance but not fairness. IAM roles and VPC Service Controls are security controls, not responsible AI fairness measures. Multi-region deployment addresses availability, not ethical AI behavior.
Why the other options are wrong
Option A does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (B) is the only one that fully meets every constraint stated in the question.
Option C does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (B) is the only one that fully meets every constraint stated in the question.
Option D does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (B) is the only one that fully meets every constraint stated in the question.
Key idea: Responsible AI & Bias Detection
Responsible AI requires identifying and mitigating bias, especially in high-stakes decisions like hiring where protected attributes (age, gender) can lead to discriminatory outcomes. Bias detection and mitigation are foundational responsible AI practices. Audit logging addresses compliance but not fairness. IAM roles and VPC Service Controls are security controls, not responsible AI fairness measures. Multi-region deployment addresses availability, not ethical AI behavior. On the PMLE exam, questions in the "Monitoring AI solutions" domain test whether you can map a scenario's constraints to the right choice. Read the requirement carefully, eliminate options that violate any single constraint, and pick the one that satisfies all of them with the least operational overhead.
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