Generative AI Leader Responsible AI and Data Governance Practice Test 3 — 15 Questions

Question 1

A healthcare startup is developing an AI system to assist radiologists in detecting tumors from X-ray images. Which Google AI Principle is MOST directly applicable to this use case?

Accepted Answer

Be built and tested for safety. The principle 'be built and tested for safety' directly applies to medical applications where incorrect detection could harm patients. The other principles are also relevant but safety is the most directly applicable to a diagnostic tool.

Answer

Incorporate privacy design principles

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Be socially beneficial

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Avoid creating or reinforcing unfair bias

Question 2

A company uses Vertex AI to deploy a generative model for customer support. They need to ensure that the model does not produce harmful content when responding to user queries. Which of the following is the MOST effective approach?

Accepted Answer

Use Vertex AI's safety filters and adjust safety settings per category. Vertex AI's safety filters and adjustable safety settings are the built-in, most effective way to block harmful content. The other options are either insufficient or place undue burden on users.

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Instruct customers to report harmful responses for future model updates

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Prompt the model to 'be safe' and rely on its training to avoid harmful content

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Review all responses manually before sending to customers

Question 3

An organization wants to use AI-generated images commercially. According to Google's AI principles and copyright guidelines, what should they do FIRST?

Accepted Answer

Verify the training data provenance and licensing of the foundation model. The primary risk is copyright infringement from training data. Verifying that the model's training data was properly licensed is essential before using outputs commercially.

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Assume all AI-generated content is copyright-free

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Only use images generated by models trained on public domain data

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Add a copyright symbol to all AI-generated images

Question 4

A financial institution is deploying an AI model to approve loans. To comply with the EU AI Act, which requirement is MANDATORY for this high-risk AI system?

Accepted Answer

The system must include a human review and override mechanism. The EU AI Act requires human oversight for high-risk AI systems, including the ability to override the system's decisions. The other options are not specifically mandated by the Act.

Answer

The model must be trained exclusively on EU citizen data

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The model must be deployed on Google Cloud infrastructure within the EU

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The model must provide explanations for all loan rejections

Question 5

A company is using Vertex AI to build a language model for generating legal documents. They need to ensure the model's outputs are accurate and verifiable. Which TWO features should they use?

Accepted Answer

Chain-of-thought reasoning. Grounding (citing sources) and chain-of-thought reasoning are the two features that directly improve accuracy and verifiability. Confidence indicators and safety filters are useful but do not directly address accuracy/verifiability.

Answer

Confidence indicators

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Safety filters for legal content

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Model Cards

Question 6

A data scientist observes that a text generation model consistently produces outputs that stereotype certain genders. According to Google's AI Principles, what is the BEST first step?

Accepted Answer

Evaluate the model's bias using a diverse test set across genders. Option A is correct because Google's AI Principles emphasize that the first step in addressing bias is to evaluate and measure it using appropriate tools and diverse datasets. This aligns with Principle #2: 'Avoid creating or reinforcing unfair bias,' which requires testing models across relevant demographic groups before taking corrective action. Without evaluation, any subsequent mitigation steps would lack a baseline and could be ineffective or counterproductive.

Answer

Immediately stop using the model and delete it

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Fine-tune the model on a gender-balanced dataset

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Add a disclaimer that the model may exhibit bias

Question 7

Which Google Cloud offering allows you to create a machine-readable document that describes a model's intended use, performance, and limitations?

Accepted Answer

Model Cards. Model Cards are designed to provide transparent documentation of model behavior, including intended use, performance, and limitations.

Answer

People + AI Guidebook

Answer

Vertex AI Model Registry

Answer

Datasheets for Datasets

Question 8

An AI company wants to detect whether text was generated by their own model. Which technology developed by Google is specifically designed for this purpose?

Accepted Answer

SynthID. SynthID is Google's watermarking framework for AI-generated content, including text, images, and audio.

Answer

Google's confidential computing

Answer

Differential privacy

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Federated learning

Question 9

A multinational corporation deploys a generative AI chatbot across multiple regions. They need to comply with GDPR and local data residency requirements. Which THREE actions are necessary?

Accepted Answer

Store and process data only in approved geographic regions (data residency controls). To comply with GDPR and data residency, the company must encrypt personal data, store data in specific regions, and control retention of prompts/responses. Consent management is part of GDPR but not specifically about data residency. Anonymization is one approach but not a universal requirement.

Answer

Obtain explicit consent from every user before collecting any data

Answer

Anonymize all training data before fine-tuning

Question 10

A team is using Vertex AI to fine-tune a large language model on proprietary company data. The data contains personally identifiable information (PII). What is the BEST practice to protect privacy?

Accepted Answer

Use differential privacy during the fine-tuning process. Differential privacy (Option A) is the best practice because it adds calibrated noise during fine-tuning, mathematically guaranteeing that the model cannot memorize or leak individual PII records even if the training data contains such information. This approach preserves privacy without requiring complete removal of PII, which may be impractical or destroy data utility. Vertex AI supports differential privacy through libraries like TensorFlow Privacy, enabling privacy budget tracking via epsilon (ε) values.

Answer

Use a different foundation model that was not trained on proprietary data

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Remove all PII from the dataset before fine-tuning

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Store the fine-tuned model on-premises only

Question 11

What is the primary purpose of Google's Datasheets for Datasets?

Accepted Answer

To document the dataset's creation, composition, and intended use. Datasheets for Datasets are designed to document the motivation, composition, collection process, and other details of a dataset to promote transparency and reproducibility.

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To serve as a legal contract for data sharing

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To list all models trained on the dataset

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To provide a template for labeling data

Question 12

A company wants to use AI to make hiring decisions. They are concerned about bias against certain demographic groups. According to Google's AI Principles, which approach is MOST aligned?

Accepted Answer

Evaluate the model using diverse test sets and adjust if bias is found. The principle 'avoid creating or reinforcing unfair bias' requires proactive identification and mitigation. Evaluating the model on diverse test sets is a standard way to detect and address bias before deployment.

Answer

Pre-train the model on a dataset that is balanced across all demographics

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Blind the model to demographic features to ensure fairness

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Only use the model for initial resume screening, with final decisions by humans

Question 13

A company is deploying a generative AI system for medical diagnosis. Which TWO measures are essential for responsible AI in this high-stakes domain?

Accepted Answer

Ensure a human medical professional reviews all AI-generated diagnoses. High-stakes domains require human oversight and transparency. Human review ensures accountability, and Model Cards communicate capabilities and limitations to stakeholders.

Answer

Allow the AI to make autonomous decisions in time-sensitive emergencies

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Publish all patient data used for training to ensure transparency

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Use the AI only for administrative tasks, not diagnosis

Question 14

A developer is using Vertex AI Studio to experiment with prompts. They want to ensure that the model's responses are grounded in factual information from a trusted knowledge base. Which feature should they enable?

Accepted Answer

Grounding with a Vertex AI Search data store. Vertex AI's grounding feature allows the model to cite sources from a provided knowledge base, improving factual accuracy and verifiability.

Answer

Safety filters

Answer

Temperature setting reduction

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Chain-of-thought prompting

Question 15

Which Google resource provides interactive visualizations and exercises to help AI practitioners understand concepts like fairness, interpretability, and privacy?

Accepted Answer

PAIR Explorables. PAIR (People + AI Research) Explorables is the correct answer because it is a Google resource specifically designed to provide interactive visualizations and hands-on exercises that help AI practitioners grasp complex concepts like fairness, interpretability, and privacy. Unlike static documentation or tools, Explorables allow users to manipulate parameters and see real-time effects, making abstract responsible AI principles tangible and actionable.

Answer

Model Cards

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People + AI Guidebook

Answer

TensorFlow Fairness Indicators