Generative AI Leader Responsible AI and Data Governance — All Questions With Answers

Question 1easymultiple choice

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A healthcare startup is developing a generative AI system to assist doctors in diagnosing rare diseases. According to Google's AI Principles, what is the MOST important requirement before deployment?

Question 2mediummultiple choice

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A financial services company uses a generative AI model to summarize customer complaints. They notice that summaries for certain demographics consistently omit negative sentiment. Which responsible AI practice should they apply FIRST to address this bias?

Question 3mediummultiple choice

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A media company wants to use a generative AI model to create marketing copy that includes citations to original sources. Which feature should they enable to ensure the model provides accurate attributions?

Question 4hardmultiple choice

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A multinational corporation deploys a generative AI chatbot for customer support in the EU. They must ensure compliance with GDPR regarding user data used for fine-tuning. Which data governance practice is REQUIRED?

Question 5mediummultiple choice

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A generative AI model used for generating product descriptions occasionally outputs hateful content. The company wants a scalable solution to block such content without modifying the model. Which Google Cloud feature should they use?

Question 6hardmultiple choice

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An AI research lab wants to publish a model card for their new generative AI model. According to Google's Responsible AI practices, which information is ESSENTIAL to include in the model card?

Question 7mediummultiple choice

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A startup is developing an AI tool that generates legal contract summaries. Lawyers will use these summaries for advice. What human oversight mechanism is MOST critical for responsible deployment?

Question 8easymultiple choice

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A company wants to ensure that AI-generated images can be traced back to their origin to prevent misuse. Which Google technology provides invisible watermarking for AI-generated content?

Question 9mediummultiple choice

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A company is fine-tuning a generative AI model on proprietary customer data. They are concerned about copyright and IP issues when using the model commercially. What is the BEST practice to mitigate these risks?

Question 10hardmultiple choice

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A cloud architect is designing a generative AI pipeline that must comply with the EU AI Act for high-risk AI systems. Which of the following is a mandatory requirement under the Act?

Question 11easymultiple choice

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A product manager wants to communicate the limitations of a new generative AI feature to stakeholders. According to Google's People + AI Guidebook, what is the BEST approach?

Question 12mediummultiple choice

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A research team uses a generative AI model to analyze historical texts. They want to provide users with insight into the model's reasoning process. Which explainability technique should they implement?

Question 13mediummulti select

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A company is deploying a generative AI system for resume screening. They want to ensure fairness and avoid bias. Which TWO actions should they take? (Choose 2)

Question 14hardmulti select

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A healthcare organization wants to use generative AI for clinical decision support. They must comply with regulatory requirements for high-risk AI systems. Which THREE measures should they implement? (Choose 3)

Question 15mediummulti select

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A company uses a generative AI model to produce financial reports. They want to ensure content safety and prevent the generation of harmful or misleading information. Which TWO Google Cloud features should they configure? (Choose 2)

Question 16easymultiple choice

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A healthcare AI application provides diagnostic suggestions based on patient data. To comply with Google's AI Principles, which practice should be implemented?

Question 17mediummultiple choice

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A media company uses a generative AI model to create marketing images. They want to ensure that AI-generated images can be identified as synthetic. Which Google Cloud capability should they use?

Question 18hardmultiple choice

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A financial institution deploys a generative AI chatbot for customer inquiries. They must comply with the EU AI Act, which classifies their use as high-risk. What is a mandatory requirement under the Act?

Question 19mediummultiple choice

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A research team wants to document the intended uses, limitations, and ethical considerations of their newly trained image classification model. Which Google Cloud tool should they use?

Question 20hardmultiple choice

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A global retailer uses a generative AI model to personalize product recommendations. They need to ensure that customer prompts and responses are not logged for model improvement to meet GDPR data minimization principles. Which configuration should they apply?

Question 21easymultiple choice

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A social media platform wants to use generative AI to moderate harmful content. They need to detect hate speech, violence, and sexual content. Which Google Cloud service provides pre-built filters for these categories?

Question 22mediummultiple choice

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A startup develops a generative AI tool for legal document review. To ensure explainability, they want the model to cite specific clauses from source documents when making assertions. Which technique should they use?

Question 23hardmultiple choice

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A hospital deploys a generative AI model to assist in diagnosing rare diseases. The model sometimes suggests treatments that are not widely accepted. To align with Google's AI Principle of being accountable to people, what should the hospital implement?

Question 24mediummultiple choice

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A company develops a generative AI model for resume screening. They discover that the model is rejecting candidates from certain demographic groups disproportionately. Which step should they take first to address unfair bias?

Question 25hardmultiple choice

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A multinational corporation uses Vertex AI to fine-tune a language model on proprietary customer data. They want to ensure that the fine-tuned model does not inadvertently memorize and regurgitate sensitive customer information. Which approach is most effective?

Question 26easymultiple choice

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A non-profit organization uses generative AI to produce reports on climate change. They want to ensure that the model's outputs are scientifically accurate. Which Google AI Principle is most relevant?

Question 27mediummultiple choice

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A software company wants to provide users with a clear understanding of when and why their AI system may produce incorrect answers. Which tool from the Responsible AI toolkit should they use to communicate model limitations?

Question 28mediummulti select

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A fintech company is deploying a generative AI system that offers investment advice. To comply with regulations and Google's AI Principles, they need to ensure appropriate human oversight and transparency. Which two actions should they take? (Choose two.)

Question 29hardmulti select

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A government agency is procuring a generative AI solution for public service information. They require that the system can provide explanations for its answers, protect citizen privacy, and comply with data residency laws. Which three capabilities should they mandate? (Choose three.)

Question 30mediummulti select

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A tech company wants to ensure that their generative AI model does not produce harmful content. They plan to use Google Cloud's content safety features. Which two methods can they use to customize content safety? (Choose two.)

Question 31mediummultiple choice

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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?

Question 32mediummultiple choice

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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?

Question 33easymultiple choice

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

Question 34hardmultiple choice

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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?

Question 35mediummulti select

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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?

Question 36mediummultiple choice

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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?

Question 37easymultiple choice

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

Question 38hardmultiple choice

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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?

Question 39hardmulti select

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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?

Question 40mediummultiple choice

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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?

Question 41easymultiple choice

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

Question 42hardmultiple choice

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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?

Question 43mediummulti select

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

Question 44mediummultiple choice

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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?

Question 45easymultiple choice

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

Question 46mediummultiple choice

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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?

Question 47mediummultiple choice

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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?

Question 48hardmultiple choice

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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?

Question 49easymultiple choice

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

Question 50mediummultiple choice

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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?

Question 51mediummultiple choice

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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?

Question 52mediummultiple choice

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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?

Question 53hardmultiple choice

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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?

Question 54easymultiple choice

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

Question 55hardmultiple choice

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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?

Question 56easymultiple choice

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

Question 57mediummultiple choice

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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?

Question 58mediummulti select

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

Question 59hardmulti select

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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.)

Question 60mediummulti select

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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.)

Question 61easymultiple choice

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A company wants to deploy a chatbot for customer support. To comply with the AI Principle of being 'accountable to people', which practice should they implement?

Question 62easymultiple choice

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What is the primary purpose of SynthID, developed by Google DeepMind?

Question 63easymultiple choice

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A data scientist is building a text generation model and wants to evaluate bias using diverse test sets. Which Google AI Principle is directly relevant to this practice?

Question 64mediummultiple choice

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A healthcare startup wants to use Vertex AI to deploy a model that helps doctors diagnose rare diseases. The model must be explainable, showing the reasoning path. Which technique should they implement?

Question 65mediummultiple choice

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A company is using a fine-tuned generative model to create marketing copy. They want to ensure that when the model references statistics, it provides citations to original sources. Which technique should they use?

Question 66mediummultiple choice

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A financial institution wants to ensure compliance with GDPR when using a generative AI service that processes EU user data. Which measure is most directly required?

Question 67mediummultiple choice

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A social media company uses a generative AI to moderate user comments. They need to filter hate speech, violence, and sexual content. What is the most efficient way to implement content safety in Vertex AI?

Question 68mediummultiple choice

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A company is developing a generative AI application that will be used by customers in multiple countries, including those with strict data residency laws. How should they approach data governance?

Question 69mediummultiple choice

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A company plans to commercially use images generated by a text-to-image model. What should they check to avoid copyright issues?

Question 70hardmultiple choice

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A large enterprise is deploying a generative AI system for automated contract review. The system must provide confidence indicators for its legal analysis. How should confidence indicators be implemented to maximize transparency?

Question 71hardmultiple choice

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A company is using Vertex AI to fine-tune a language model on customer data. To comply with Google's privacy design principles, what should they do regarding the data used for fine-tuning?

Question 72hardmultiple choice

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An organization uses a generative AI model to automatically approve or reject loan applications. To comply with the EU AI Act's requirements for high-risk AI systems, what must they implement?

Question 73mediummulti select

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A machine learning engineer is using a generative AI model that occasionally outputs biased content. Which TWO actions should they take to address this issue?

Question 74hardmulti select

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A company wants to deploy a generative AI application that must comply with both Google's AI Principles and the EU AI Act. Which THREE practices should they adopt?

Question 75mediummulti select

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A data scientist is documenting a new dataset for a generative AI project. According to the Responsible AI toolkit, which TWO elements should they include in a Datasheet for Datasets?

Question 76mediummultiple choice

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A company wants to build a customer service chatbot that answers questions about their internal policy documents. The documents are updated monthly, and the team cannot afford to retrain a model each time. Which approach is MOST appropriate?

Question 77easymultiple choice

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Which of the following is a key principle in Google's AI Principles that directly addresses the need to avoid creating or reinforcing unfair bias?

Question 78hardmultiple choice

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A healthcare organization is using a generative AI model to assist in diagnosing rare diseases from patient symptoms. They want to ensure that model outputs are explainable and that the clinician can verify the reasoning. Which feature should they prioritize?

Question 79mediummultiple choice

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A financial institution is deploying a generative AI chatbot to provide investment advice. According to regulatory requirements, high-stakes AI decisions must have human review. Which setup BEST satisfies this requirement?

Question 80easymultiple choice

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A startup is using Vertex AI to build a generative AI application. They need to ensure that the AI-generated content does not contain hate speech or violence. Which service should they use?

Question 81mediummultiple choice

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A company wants to use AI-generated images commercially. They are concerned about copyright and IP issues. Which action should they take FIRST to mitigate legal risk?

Question 82hardmultiple choice

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A research team is fine-tuning a large language model on a dataset containing personal data of EU citizens. They must comply with GDPR. Which measure is ESSENTIAL?

Question 83mediummultiple choice

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A machine learning engineer notices that a generative AI model consistently produces outputs that reinforce gender stereotypes when describing occupations. What is the MOST likely cause?

Question 84easymultiple choice

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Which tool from Google's Responsible AI toolkit is designed to document the intended use, performance, and limitations of a machine learning model?

Question 85mediummultiple choice

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A company deploying a generative AI assistant wants to allow users to override the AI's suggestions before final actions are taken. Which design pattern does this represent?

Question 86hardmultiple choice

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A company is required by the EU AI Act to ensure high-risk AI systems are transparent and auditable. They are using a proprietary model from a vendor. Which step is CRITICAL?

Question 87mediummultiple choice

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A developer is using Vertex AI to deploy a generative AI model. They need to ensure that prompts and responses are logged for compliance but also want to minimize data retention. Which configuration is BEST?

Question 88mediummulti select

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A company is developing a generative AI application that will be used by customers in the EU. To comply with GDPR, which TWO measures are REQUIRED? (Choose 2)

Question 89hardmulti select

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A financial services firm is deploying a generative AI model to assist in loan approval decisions. To comply with regulatory requirements for fairness and explainability, which THREE actions should they take? (Choose 3)

Question 90mediummulti select

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A company wants to use a generative AI model to automatically generate marketing content. They are concerned about copyright infringement if the model reproduces copyrighted text. Which TWO strategies should they employ? (Choose 2)

Question 91mediummultiple choice

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A company wants to build a customer service chatbot that answers questions about their internal policy documents. The documents are updated monthly, and the team cannot afford to retrain a model each time. Which approach is MOST appropriate?

Question 92easymultiple choice

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According to Google's AI Principles, which of the following is a key commitment regarding privacy?

Question 93hardmultiple choice

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A healthcare organization deploys a generative AI model to assist in diagnosing rare diseases from medical images. To comply with the EU AI Act's requirements for high-risk AI systems, what is the MOST critical control they must implement?

Question 94mediummultiple choice

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A data scientist observes that their text generation model frequently uses gender stereotypes when generating job descriptions. Which responsible AI practice should be applied FIRST to address this issue?

Question 95easymultiple choice

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Which Google Cloud tool allows you to document the intended use, training data, and evaluation results of a machine learning model to promote transparency?

Question 96mediummultiple choice

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A financial services company uses a generative AI model to produce customer-facing investment advice. They need to ensure the model's outputs can be traced back to specific sources. Which explainability technique is BEST suited for this requirement?

Question 97hardmultiple choice

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A global company deploys a generative AI chatbot in the European Union. They must ensure compliance with GDPR regarding user data used for fine-tuning the model. What is the MOST important requirement they must fulfill?

Question 98mediummultiple choice

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A researcher wants to detect whether text was generated by an AI model to identify potential misinformation. Which Google technology is specifically designed for this purpose?

Question 99easymultiple choice

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What is the primary purpose of Google's Content Safety filters in Vertex AI?

Question 100mediummultiple choice

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A company is using a generative AI model to automatically screen job applications. They want to ensure the model does not discriminate based on gender or ethnicity. Which of the following actions should they take as part of responsible AI?

Question 101hardmultiple choice

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A startup uses a generative AI model to create marketing content. They plan to sell the generated content commercially. What is the most important legal consideration regarding copyright?

Question 102easymultiple choice

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According to Google's AI Principles, AI systems should be 'accountable to people.' What does this principle primarily require?

Question 103mediummulti select

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A data architect is designing a system that uses a generative AI model to summarize customer support transcripts. The system must comply with GDPR and company policy requiring data residency in the EU. Which TWO controls should they implement?

Question 104mediummulti select

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A product manager wants to transparently communicate the capabilities and limitations of their new generative AI feature to stakeholders. Which THREE resources from the Responsible AI Toolkit should they use?

Question 105hardmulti select

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A company is deploying a generative AI model for medical diagnosis assistance. To comply with both Google's AI Principles and emerging regulations (e.g., EU AI Act), they must ensure appropriate human oversight. Which THREE measures should they implement?

Question 106mediummultiple choice

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A healthcare company is developing a generative AI system to assist radiologists by highlighting potential abnormalities in X-ray images. They want to ensure the system's outputs are explainable and can be verified by medical professionals. Which combination of features should they use?

Question 107hardmultiple choice

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An e-commerce company uses a generative AI model to generate product descriptions. They observe that descriptions for high-end products use more sophisticated language compared to budget products, potentially reinforcing class stereotypes. What is the most likely cause, and what should they do to mitigate it?

Question 108easymultiple choice

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A company wants to ensure that its generative AI application complies with the GDPR right to erasure (right to be forgotten) for user data used in model fine-tuning. What is the best approach?

Question 109mediummultiple choice

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A financial institution is deploying a generative AI chatbot for investment advice. According to Google's AI Principles and responsible AI practices, what is a mandatory requirement before this chatbot can be used with customers?

Question 110hardmultiple choice

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A company is building a generative AI application that will generate marketing copy. They want to ensure that the content does not contain hate speech, violence, sexual content, or dangerous instructions. Which Google Cloud feature should they enable?

Question 111mediummultiple choice

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A machine learning engineer is evaluating a generative AI model for bias. They have a diverse test set covering gender, race, and age groups. Which metric would best indicate if the model's performance is systematically worse for certain demographic groups?

Question 112easymultiple choice

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Which Google DeepMind technology can be used to embed an invisible watermark into AI-generated images to help identify their origin?

Question 113mediummultiple choice

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A company is using a generative AI model to screen job applications. They want to ensure compliance with Google's AI Principle of avoiding unfair bias. Which practice is most effective in mitigating bias during the screening process?

Question 114hardmultiple choice

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A startup is building a generative AI legal document assistant for small law firms. They want to ensure that the model's outputs are accurate and can be traced back to specific legal statutes. Which approach best supports this requirement?

Question 115mediummultiple choice

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A company wants to use a generative AI model to create marketing content that will be used commercially. They are concerned about copyright infringement from the model's training data. Which step should they take to mitigate this risk?

Question 116mediummulti select

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A company is deploying a generative AI system for medical diagnosis support. To comply with Google's AI Principles and regulatory requirements, which TWO actions are essential? (Select 2)

Question 117hardmulti select

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A company is developing a generative AI application that will be used by customers in the EU. To comply with the GDPR and the upcoming EU AI Act, which THREE measures should they implement? (Select 3)

Question 118easymulti select

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According to Google's AI Principles, which TWO of the following are core commitments? (Select 2)

Question 119mediummulti select

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A data scientist is fine-tuning a generative AI model for customer sentiment analysis. To ensure the fine-tuned model does not inadvertently memorize and reproduce personally identifiable information (PII) from the training data, which THREE practices should they follow? (Select 3)

Question 120hardmulti select

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A company is deploying a generative AI chatbot for customer support. They want to ensure that the chatbot does not generate harmful content and that they can customize the safety thresholds. Which TWO features in Vertex AI should they use? (Select 2)

Question 121mediummultiple choice

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A healthcare startup is deploying a generative AI model to assist physicians in diagnosing rare diseases. The model will suggest possible conditions based on patient symptoms and lab results. Which approach best aligns with Google's AI Principles and responsible AI practices?

Question 122hardmulti select

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A multinational corporation is deploying a generative AI chatbot for customer support across Europe, Asia, and North America. The legal team requires compliance with GDPR for EU users, data residency controls, and the ability to audit prompts and responses for safety. Which THREE actions should the company take?

Question 123easymultiple choice

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A data scientist is evaluating a generative AI model for potential gender bias in its outputs. They use a diverse test set that includes names, pronouns, and occupations across genders. Which Google's AI Principle does this practice primarily support?

Question 124mediummulti select

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A company is developing an AI-powered interview assistant that screens job applicants. The responsible AI team wants to ensure the model does not discriminate based on gender, race, or age. Which TWO practices should they implement?

Question 125hardmultiple choice

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A legal firm wants to use a generative AI model to draft contract clauses. They need to ensure the model's outputs cite specific legal precedents and statutes, and that the reasoning behind each clause is transparent. Which combination of explainability techniques should they prioritize?

Question 1easymultiple choice

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A healthcare startup is developing a generative AI system to assist doctors in diagnosing rare diseases. According to Google's AI Principles, what is the MOST important requirement before deployment?

Question 2mediummultiple choice

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A financial services company uses a generative AI model to summarize customer complaints. They notice that summaries for certain demographics consistently omit negative sentiment. Which responsible AI practice should they apply FIRST to address this bias?

Question 3mediummultiple choice

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A media company wants to use a generative AI model to create marketing copy that includes citations to original sources. Which feature should they enable to ensure the model provides accurate attributions?

Question 4hardmultiple choice

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A multinational corporation deploys a generative AI chatbot for customer support in the EU. They must ensure compliance with GDPR regarding user data used for fine-tuning. Which data governance practice is REQUIRED?

Question 5mediummultiple choice

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A generative AI model used for generating product descriptions occasionally outputs hateful content. The company wants a scalable solution to block such content without modifying the model. Which Google Cloud feature should they use?

Question 6hardmultiple choice

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An AI research lab wants to publish a model card for their new generative AI model. According to Google's Responsible AI practices, which information is ESSENTIAL to include in the model card?

Question 7mediummultiple choice

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A startup is developing an AI tool that generates legal contract summaries. Lawyers will use these summaries for advice. What human oversight mechanism is MOST critical for responsible deployment?

Question 8easymultiple choice

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A company wants to ensure that AI-generated images can be traced back to their origin to prevent misuse. Which Google technology provides invisible watermarking for AI-generated content?

Question 9mediummultiple choice

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A company is fine-tuning a generative AI model on proprietary customer data. They are concerned about copyright and IP issues when using the model commercially. What is the BEST practice to mitigate these risks?

Question 10hardmultiple choice

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A cloud architect is designing a generative AI pipeline that must comply with the EU AI Act for high-risk AI systems. Which of the following is a mandatory requirement under the Act?

Question 11easymultiple choice

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A product manager wants to communicate the limitations of a new generative AI feature to stakeholders. According to Google's People + AI Guidebook, what is the BEST approach?

Question 12mediummultiple choice

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A research team uses a generative AI model to analyze historical texts. They want to provide users with insight into the model's reasoning process. Which explainability technique should they implement?

Question 13mediummulti select

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A company is deploying a generative AI system for resume screening. They want to ensure fairness and avoid bias. Which TWO actions should they take? (Choose 2)

Question 14hardmulti select

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A healthcare organization wants to use generative AI for clinical decision support. They must comply with regulatory requirements for high-risk AI systems. Which THREE measures should they implement? (Choose 3)

Question 15mediummulti select

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A company uses a generative AI model to produce financial reports. They want to ensure content safety and prevent the generation of harmful or misleading information. Which TWO Google Cloud features should they configure? (Choose 2)

Question 16easymultiple choice

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A healthcare AI application provides diagnostic suggestions based on patient data. To comply with Google's AI Principles, which practice should be implemented?

Question 17mediummultiple choice

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A media company uses a generative AI model to create marketing images. They want to ensure that AI-generated images can be identified as synthetic. Which Google Cloud capability should they use?

Question 18hardmultiple choice

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A financial institution deploys a generative AI chatbot for customer inquiries. They must comply with the EU AI Act, which classifies their use as high-risk. What is a mandatory requirement under the Act?

Question 19mediummultiple choice

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A research team wants to document the intended uses, limitations, and ethical considerations of their newly trained image classification model. Which Google Cloud tool should they use?

Question 20hardmultiple choice

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A global retailer uses a generative AI model to personalize product recommendations. They need to ensure that customer prompts and responses are not logged for model improvement to meet GDPR data minimization principles. Which configuration should they apply?

Question 21easymultiple choice

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A social media platform wants to use generative AI to moderate harmful content. They need to detect hate speech, violence, and sexual content. Which Google Cloud service provides pre-built filters for these categories?

Question 22mediummultiple choice

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A startup develops a generative AI tool for legal document review. To ensure explainability, they want the model to cite specific clauses from source documents when making assertions. Which technique should they use?

Question 23hardmultiple choice

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A hospital deploys a generative AI model to assist in diagnosing rare diseases. The model sometimes suggests treatments that are not widely accepted. To align with Google's AI Principle of being accountable to people, what should the hospital implement?

Question 24mediummultiple choice

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A company develops a generative AI model for resume screening. They discover that the model is rejecting candidates from certain demographic groups disproportionately. Which step should they take first to address unfair bias?

Question 25hardmultiple choice

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A multinational corporation uses Vertex AI to fine-tune a language model on proprietary customer data. They want to ensure that the fine-tuned model does not inadvertently memorize and regurgitate sensitive customer information. Which approach is most effective?

Question 26easymultiple choice

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A non-profit organization uses generative AI to produce reports on climate change. They want to ensure that the model's outputs are scientifically accurate. Which Google AI Principle is most relevant?

Question 27mediummultiple choice

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A software company wants to provide users with a clear understanding of when and why their AI system may produce incorrect answers. Which tool from the Responsible AI toolkit should they use to communicate model limitations?

Question 28mediummulti select

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A fintech company is deploying a generative AI system that offers investment advice. To comply with regulations and Google's AI Principles, they need to ensure appropriate human oversight and transparency. Which two actions should they take? (Choose two.)

Question 29hardmulti select

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A government agency is procuring a generative AI solution for public service information. They require that the system can provide explanations for its answers, protect citizen privacy, and comply with data residency laws. Which three capabilities should they mandate? (Choose three.)

Question 30mediummulti select

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A tech company wants to ensure that their generative AI model does not produce harmful content. They plan to use Google Cloud's content safety features. Which two methods can they use to customize content safety? (Choose two.)

Question 31mediummultiple choice

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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?

Question 32mediummultiple choice

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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?

Question 33easymultiple choice

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

Question 34hardmultiple choice

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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?

Question 35mediummulti select

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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?

Question 36mediummultiple choice

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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?

Question 37easymultiple choice

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

Question 38hardmultiple choice

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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?

Question 39hardmulti select

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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?

Question 40mediummultiple choice

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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?

Question 41easymultiple choice

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

Question 42hardmultiple choice

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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?

Question 43mediummulti select

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

Question 44mediummultiple choice

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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?

Question 45easymultiple choice

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

Question 46mediummultiple choice

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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?

Question 47mediummultiple choice

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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?

Question 48hardmultiple choice

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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?

Question 49easymultiple choice

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

Question 50mediummultiple choice

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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?

Question 51mediummultiple choice

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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?

Question 52mediummultiple choice

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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?

Question 53hardmultiple choice

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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?

Question 54easymultiple choice

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

Question 55hardmultiple choice

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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?

Question 56easymultiple choice

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

Question 57mediummultiple choice

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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?

Question 58mediummulti select

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

Question 59hardmulti select

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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.)

Question 60mediummulti select

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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.)

Question 61easymultiple choice

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A company wants to deploy a chatbot for customer support. To comply with the AI Principle of being 'accountable to people', which practice should they implement?

Question 62easymultiple choice

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What is the primary purpose of SynthID, developed by Google DeepMind?

Question 63easymultiple choice

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A data scientist is building a text generation model and wants to evaluate bias using diverse test sets. Which Google AI Principle is directly relevant to this practice?

Question 64mediummultiple choice

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A healthcare startup wants to use Vertex AI to deploy a model that helps doctors diagnose rare diseases. The model must be explainable, showing the reasoning path. Which technique should they implement?

Question 65mediummultiple choice

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A company is using a fine-tuned generative model to create marketing copy. They want to ensure that when the model references statistics, it provides citations to original sources. Which technique should they use?

Question 66mediummultiple choice

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A financial institution wants to ensure compliance with GDPR when using a generative AI service that processes EU user data. Which measure is most directly required?

Question 67mediummultiple choice

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A social media company uses a generative AI to moderate user comments. They need to filter hate speech, violence, and sexual content. What is the most efficient way to implement content safety in Vertex AI?

Question 68mediummultiple choice

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A company is developing a generative AI application that will be used by customers in multiple countries, including those with strict data residency laws. How should they approach data governance?

Question 69mediummultiple choice

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A company plans to commercially use images generated by a text-to-image model. What should they check to avoid copyright issues?

Question 70hardmultiple choice

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A large enterprise is deploying a generative AI system for automated contract review. The system must provide confidence indicators for its legal analysis. How should confidence indicators be implemented to maximize transparency?

Question 71hardmultiple choice

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A company is using Vertex AI to fine-tune a language model on customer data. To comply with Google's privacy design principles, what should they do regarding the data used for fine-tuning?

Question 72hardmultiple choice

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An organization uses a generative AI model to automatically approve or reject loan applications. To comply with the EU AI Act's requirements for high-risk AI systems, what must they implement?

Question 73mediummulti select

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A machine learning engineer is using a generative AI model that occasionally outputs biased content. Which TWO actions should they take to address this issue?

Question 74hardmulti select

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A company wants to deploy a generative AI application that must comply with both Google's AI Principles and the EU AI Act. Which THREE practices should they adopt?

Question 75mediummulti select

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A data scientist is documenting a new dataset for a generative AI project. According to the Responsible AI toolkit, which TWO elements should they include in a Datasheet for Datasets?

Question 76mediummultiple choice

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A company wants to build a customer service chatbot that answers questions about their internal policy documents. The documents are updated monthly, and the team cannot afford to retrain a model each time. Which approach is MOST appropriate?

Question 77easymultiple choice

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Which of the following is a key principle in Google's AI Principles that directly addresses the need to avoid creating or reinforcing unfair bias?

Question 78hardmultiple choice

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A healthcare organization is using a generative AI model to assist in diagnosing rare diseases from patient symptoms. They want to ensure that model outputs are explainable and that the clinician can verify the reasoning. Which feature should they prioritize?

Question 79mediummultiple choice

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A financial institution is deploying a generative AI chatbot to provide investment advice. According to regulatory requirements, high-stakes AI decisions must have human review. Which setup BEST satisfies this requirement?

Question 80easymultiple choice

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A startup is using Vertex AI to build a generative AI application. They need to ensure that the AI-generated content does not contain hate speech or violence. Which service should they use?

Question 81mediummultiple choice

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A company wants to use AI-generated images commercially. They are concerned about copyright and IP issues. Which action should they take FIRST to mitigate legal risk?

Question 82hardmultiple choice

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A research team is fine-tuning a large language model on a dataset containing personal data of EU citizens. They must comply with GDPR. Which measure is ESSENTIAL?

Question 83mediummultiple choice

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A machine learning engineer notices that a generative AI model consistently produces outputs that reinforce gender stereotypes when describing occupations. What is the MOST likely cause?

Question 84easymultiple choice

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Which tool from Google's Responsible AI toolkit is designed to document the intended use, performance, and limitations of a machine learning model?

Question 85mediummultiple choice

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A company deploying a generative AI assistant wants to allow users to override the AI's suggestions before final actions are taken. Which design pattern does this represent?

Question 86hardmultiple choice

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A company is required by the EU AI Act to ensure high-risk AI systems are transparent and auditable. They are using a proprietary model from a vendor. Which step is CRITICAL?

Question 87mediummultiple choice

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A developer is using Vertex AI to deploy a generative AI model. They need to ensure that prompts and responses are logged for compliance but also want to minimize data retention. Which configuration is BEST?

Question 88mediummulti select

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A company is developing a generative AI application that will be used by customers in the EU. To comply with GDPR, which TWO measures are REQUIRED? (Choose 2)

Question 89hardmulti select

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A financial services firm is deploying a generative AI model to assist in loan approval decisions. To comply with regulatory requirements for fairness and explainability, which THREE actions should they take? (Choose 3)

Question 90mediummulti select

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A company wants to use a generative AI model to automatically generate marketing content. They are concerned about copyright infringement if the model reproduces copyrighted text. Which TWO strategies should they employ? (Choose 2)

Question 91mediummultiple choice

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A company wants to build a customer service chatbot that answers questions about their internal policy documents. The documents are updated monthly, and the team cannot afford to retrain a model each time. Which approach is MOST appropriate?

Question 92easymultiple choice

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According to Google's AI Principles, which of the following is a key commitment regarding privacy?

Question 93hardmultiple choice

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A healthcare organization deploys a generative AI model to assist in diagnosing rare diseases from medical images. To comply with the EU AI Act's requirements for high-risk AI systems, what is the MOST critical control they must implement?

Question 94mediummultiple choice

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A data scientist observes that their text generation model frequently uses gender stereotypes when generating job descriptions. Which responsible AI practice should be applied FIRST to address this issue?

Question 95easymultiple choice

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Which Google Cloud tool allows you to document the intended use, training data, and evaluation results of a machine learning model to promote transparency?

Question 96mediummultiple choice

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A financial services company uses a generative AI model to produce customer-facing investment advice. They need to ensure the model's outputs can be traced back to specific sources. Which explainability technique is BEST suited for this requirement?

Question 97hardmultiple choice

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A global company deploys a generative AI chatbot in the European Union. They must ensure compliance with GDPR regarding user data used for fine-tuning the model. What is the MOST important requirement they must fulfill?

Question 98mediummultiple choice

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A researcher wants to detect whether text was generated by an AI model to identify potential misinformation. Which Google technology is specifically designed for this purpose?

Question 99easymultiple choice

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What is the primary purpose of Google's Content Safety filters in Vertex AI?

Question 100mediummultiple choice

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A company is using a generative AI model to automatically screen job applications. They want to ensure the model does not discriminate based on gender or ethnicity. Which of the following actions should they take as part of responsible AI?

Question 101hardmultiple choice

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A startup uses a generative AI model to create marketing content. They plan to sell the generated content commercially. What is the most important legal consideration regarding copyright?

Question 102easymultiple choice

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According to Google's AI Principles, AI systems should be 'accountable to people.' What does this principle primarily require?

Question 103mediummulti select

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A data architect is designing a system that uses a generative AI model to summarize customer support transcripts. The system must comply with GDPR and company policy requiring data residency in the EU. Which TWO controls should they implement?

Question 104mediummulti select

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A product manager wants to transparently communicate the capabilities and limitations of their new generative AI feature to stakeholders. Which THREE resources from the Responsible AI Toolkit should they use?

Question 105hardmulti select

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A company is deploying a generative AI model for medical diagnosis assistance. To comply with both Google's AI Principles and emerging regulations (e.g., EU AI Act), they must ensure appropriate human oversight. Which THREE measures should they implement?

Question 106mediummultiple choice

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A healthcare company is developing a generative AI system to assist radiologists by highlighting potential abnormalities in X-ray images. They want to ensure the system's outputs are explainable and can be verified by medical professionals. Which combination of features should they use?

Question 107hardmultiple choice

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An e-commerce company uses a generative AI model to generate product descriptions. They observe that descriptions for high-end products use more sophisticated language compared to budget products, potentially reinforcing class stereotypes. What is the most likely cause, and what should they do to mitigate it?

Question 108easymultiple choice

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A company wants to ensure that its generative AI application complies with the GDPR right to erasure (right to be forgotten) for user data used in model fine-tuning. What is the best approach?

Question 109mediummultiple choice

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A financial institution is deploying a generative AI chatbot for investment advice. According to Google's AI Principles and responsible AI practices, what is a mandatory requirement before this chatbot can be used with customers?

Question 110hardmultiple choice

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A company is building a generative AI application that will generate marketing copy. They want to ensure that the content does not contain hate speech, violence, sexual content, or dangerous instructions. Which Google Cloud feature should they enable?

Question 111mediummultiple choice

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A machine learning engineer is evaluating a generative AI model for bias. They have a diverse test set covering gender, race, and age groups. Which metric would best indicate if the model's performance is systematically worse for certain demographic groups?

Question 112easymultiple choice

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Which Google DeepMind technology can be used to embed an invisible watermark into AI-generated images to help identify their origin?

Question 113mediummultiple choice

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A company is using a generative AI model to screen job applications. They want to ensure compliance with Google's AI Principle of avoiding unfair bias. Which practice is most effective in mitigating bias during the screening process?

Question 114hardmultiple choice

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A startup is building a generative AI legal document assistant for small law firms. They want to ensure that the model's outputs are accurate and can be traced back to specific legal statutes. Which approach best supports this requirement?

Question 115mediummultiple choice

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A company wants to use a generative AI model to create marketing content that will be used commercially. They are concerned about copyright infringement from the model's training data. Which step should they take to mitigate this risk?

Question 116mediummulti select

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A company is deploying a generative AI system for medical diagnosis support. To comply with Google's AI Principles and regulatory requirements, which TWO actions are essential? (Select 2)

Question 117hardmulti select

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A company is developing a generative AI application that will be used by customers in the EU. To comply with the GDPR and the upcoming EU AI Act, which THREE measures should they implement? (Select 3)

Question 118easymulti select

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According to Google's AI Principles, which TWO of the following are core commitments? (Select 2)

Question 119mediummulti select

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A data scientist is fine-tuning a generative AI model for customer sentiment analysis. To ensure the fine-tuned model does not inadvertently memorize and reproduce personally identifiable information (PII) from the training data, which THREE practices should they follow? (Select 3)

Question 120hardmulti select

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A company is deploying a generative AI chatbot for customer support. They want to ensure that the chatbot does not generate harmful content and that they can customize the safety thresholds. Which TWO features in Vertex AI should they use? (Select 2)

Question 121mediummultiple choice

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A healthcare startup is deploying a generative AI model to assist physicians in diagnosing rare diseases. The model will suggest possible conditions based on patient symptoms and lab results. Which approach best aligns with Google's AI Principles and responsible AI practices?

Question 122hardmulti select

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A multinational corporation is deploying a generative AI chatbot for customer support across Europe, Asia, and North America. The legal team requires compliance with GDPR for EU users, data residency controls, and the ability to audit prompts and responses for safety. Which THREE actions should the company take?

Question 123easymultiple choice

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A data scientist is evaluating a generative AI model for potential gender bias in its outputs. They use a diverse test set that includes names, pronouns, and occupations across genders. Which Google's AI Principle does this practice primarily support?

Question 124mediummulti select

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A company is developing an AI-powered interview assistant that screens job applicants. The responsible AI team wants to ensure the model does not discriminate based on gender, race, or age. Which TWO practices should they implement?

Question 125hardmultiple choice

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A legal firm wants to use a generative AI model to draft contract clauses. They need to ensure the model's outputs cite specific legal precedents and statutes, and that the reasoning behind each clause is transparent. Which combination of explainability techniques should they prioritize?