Generative AI Leader Responsible AI and Data Governance Practice Test 4 — 15 Questions

Question 1

A healthcare startup is using a large language model (LLM) to generate discharge summaries. To comply with regulations, they need to ensure that a human reviews all AI-generated summaries before they are sent to patients. Which Google Cloud feature should they use to enforce this workflow?

Accepted Answer

Vertex AI Human-in-the-Loop (HITL). Human oversight is a key requirement for high-stakes AI systems. Vertex AI Human-in-the-Loop (HITL) provides a managed workflow to route predictions for human review, approval, or override before final output.

Answer

Cloud Audit Logs

Answer

Vertex AI Model Registry

Answer

Vertex AI Evaluation Service

Question 2

A financial institution is deploying a generative AI model to recommend investment strategies. They must ensure the model's outputs are explainable to clients and regulators. Which approach BEST meets this requirement?

Accepted Answer

Implement chain-of-thought prompting and cite sources for each recommendation. Explainability in GenAI can be achieved by grounding outputs in verifiable sources and showing the reasoning process. Chain-of-thought reasoning provides step-by-step logic, making recommendations auditable.

Answer

Apply differential privacy to the training data

Answer

Aggregate model outputs across multiple runs to reduce variance

Answer

Use a larger model with more parameters to improve accuracy

Question 3

A social media company is using a generative AI model to automatically moderate user-uploaded images for harmful content. They need to comply with the EU AI Act's requirements for high-risk AI systems. Which combination of actions is MOST appropriate?

Accepted Answer

Use Google's safety filters, allow users to appeal automated decisions, and document the model's capabilities and limitations. The EU AI Act mandates risk management, transparency, and human oversight for high-risk systems. Google's AI Principles align with these requirements. The correct answer involves using safety filters for content, maintaining human review for appeals, and documenting the system's purpose and limitations.

Answer

Deploy the model without any filters, but log all decisions for audit

Answer

Only rely on human moderators and disable AI moderation

Answer

Use a third-party model that has been certified by a notified body

Question 4

Which of the following is a key Google AI Principle that directly addresses the need to avoid creating or reinforcing unfair bias?

Accepted Answer

Avoid creating or reinforcing unfair bias. Option A is correct because it is the exact wording of one of Google's seven AI Principles, which explicitly states the commitment to 'avoid creating or reinforcing unfair bias.' This principle directly addresses the need to mitigate bias in AI systems, such as ensuring training datasets are representative and algorithms do not perpetuate historical inequities. It is a foundational directive for responsible AI development, distinct from broader accountability, safety, or privacy concerns.

Answer

Be accountable to people

Answer

Be built and tested for safety

Answer

Incorporate privacy design principles

Question 5

A data scientist is evaluating a generative AI model for gender bias in its text outputs. They have a test set of 1,000 gender-neutral prompts. Which approach is MOST appropriate for measuring output bias?

Accepted Answer

Analyze the gender of characters, roles, and pronouns in the model's completions. To measure bias, the test set should include prompts that are neutral in gender but may elicit biased responses. The correct approach is to analyze the gender of pronouns, roles, or descriptors in the model's completions.

Answer

Check the gender distribution of the training data

Answer

Use a toxicity classifier to flag any biased outputs

Answer

Ask the model to self-report its confidence in avoiding bias

Question 6

A company is using Vertex AI to fine-tune a large language model on proprietary customer support transcripts. The transcripts contain personally identifiable information (PII) such as names and email addresses. What is the BEST practice to comply with Google's AI Principles on privacy?

Accepted Answer

De-identify the transcripts by removing or masking PII before fine-tuning. Google's AI Principles include incorporating privacy design principles. The best practice is to de-identify the training data by removing or masking PII before fine-tuning, reducing privacy risk.

Answer

Use a model that has already been trained on similar data to avoid fine-tuning

Answer

Obtain consent from all customers whose data appears in the transcripts

Answer

Fine-tune the model directly on the transcripts, as the model will not memorize exact data

Question 7

An e-commerce company is using a generative AI model to write product descriptions. They want to ensure that the model does not generate harmful content such as hate speech or violence. Which Google Cloud feature should they configure?

Accepted Answer

Vertex AI Safety Filters. Google Cloud's Vertex AI provides built-in safety filters that can be configured to block harmful content categories like hate speech, violence, sexual content, and dangerous instructions.

Answer

Cloud DLP (Data Loss Prevention)

Answer

Vertex AI Explainable AI

Answer

Vertex AI Model Monitoring

Question 8

A government agency is deploying a generative AI system to assist in processing visa applications. The system must be transparent about its limitations and provide clear indications of its confidence in each recommendation. Which approach BEST addresses explainability and accountability?

Accepted Answer

Provide confidence scores alongside each recommendation and include disclaimers about the system's limitations. Option D is correct because it directly addresses explainability by providing confidence scores, which quantify the model's certainty, and accountability by including disclaimers about system limitations. This aligns with responsible AI principles that require transparency in automated decision-making, especially in high-stakes domains like visa processing where users must understand the system's reliability and potential biases.

Answer

Only allow the system to output binary decisions (approve/reject) to reduce confusion

Answer

Train the model to always output high confidence to reassure decision-makers

Answer

Use a random subset of applications to be reviewed by humans only, without any AI input

Question 9

Which Google initiative provides a set of interactive, open-source tools to help UX designers and product managers build human-centered AI products?

Accepted Answer

People + AI Guidebook (PAIR). The People + AI Guidebook (PAIR) is a Google initiative that provides guidelines, case studies, and design patterns for building human-centered AI.

Answer

TensorFlow Privacy

Answer

Model Cards

Answer

Datasheets for Datasets

Question 10

A music streaming service wants to use AI-generated playlists and artwork, but is concerned about potential copyright infringement. They plan to use a generative model that was trained on a large corpus of publicly available music and images. Which action is MOST important to mitigate IP risk?

Accepted Answer

Review the training data provenance and ensure it consists of properly licensed or public domain works. Training data provenance is a key IP concern. The service should verify that the training data does not include copyrighted content without permission, and document the data sources to establish a chain of provenance.

Answer

Only use models hosted on Google Cloud, as Google assumes liability

Answer

Add a watermark to all generated content using SynthID

Answer

Ask the model to self-certify that its outputs are original

Question 11

What is the primary purpose of Google DeepMind's SynthID technology?

Accepted Answer

To detect AI-generated content and identify the model that created it. SynthID is an invisible watermarking tool for AI-generated content, enabling identification of synthetic images, audio, text, or video without altering the user experience.

Answer

To remove harmful content from AI outputs

Answer

To encrypt AI-generated content for secure transmission

Answer

To improve the accuracy of generative AI models

Question 12

A multinational corporation wants to deploy a generative AI chatbot for its global customer service. They must ensure that data residency requirements are met for EU customers, meaning all prompts and responses from EU users must be processed and stored within the European Union. Which Google Cloud capability should they use?

Accepted Answer

Configure data residency controls in Vertex AI to process and store data in a specific region. Vertex AI allows you to configure data residency controls that ensure prompts and responses are processed and stored within a specific geographic region, such as the European Union. This directly meets the requirement for EU customer data to remain within EU boundaries, as it leverages Google Cloud's regionalization capabilities for AI workloads.

Answer

Implement Cloud Armor to block non-EU traffic

Answer

Use Cloud Data Loss Prevention (DLP) to mask EU data

Answer

Enable VPC Service Controls to restrict data flow

Question 13

A company is developing a generative AI application that must comply with GDPR. Which TWO actions are required? (Select two.)

Accepted Answer

Provide a mechanism for users to request deletion of their personal data. GDPR requires a lawful basis for processing personal data, such as user consent, and the right to erasure (right to be forgotten). Data subjects must be able to request deletion of their data.

Answer

Anonymize all training data to prevent any re-identification

Answer

Use a model that has been pre-trained only on non-EU data

Answer

Store all user data in a centralized location for easier management

Question 14

A health-tech startup is fine-tuning a generative AI model on electronic health records (EHR) to assist in clinical decision support. They need to ensure responsible AI practices. Which THREE measures should they implement? (Select three.)

Accepted Answer

Evaluate model outputs for bias across different demographic groups. Responsible AI in healthcare requires human oversight for high-stakes decisions, evaluating the model for bias (especially across demographic groups), and ensuring transparency about the model's limitations. Training data representativeness is also critical.

Answer

Automate all decisions to reduce human error

Answer

Train the model exclusively on data from a single hospital to ensure consistency

Question 15

A data scientist is using Vertex AI to build a question-answering system. They want to use the Responsible AI toolkit to document and communicate the model's characteristics. Which TWO tools from the toolkit are MOST relevant? (Select two.)

Accepted Answer

Model Cards. Model Cards document model performance, intended use, and limitations. Datasheets for Datasets document dataset creation and composition. Both are part of the Responsible AI toolkit for transparency.

Answer

Cloud DLP

Answer

TensorBoard

Answer

Vertex AI Workbench