Generative AI Leader Google AI Ecosystem and Strategy — All Questions With Answers

Question 1mediummultiple 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 2easymultiple choice

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Which Google Cloud service allows you to run machine learning models directly using SQL queries on data in BigQuery?

Question 3hardmultiple choice

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A financial services firm needs to use Gemini for analyzing customer transaction data. They require that all data remain within their VPC and that model inference logs be auditable. Which access tier should they choose?

Question 4mediummultiple choice

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A research team is training a large multimodal model and needs to minimize training time for a fixed budget. Which Google Cloud infrastructure is specifically designed for large-scale training workloads?

Question 5easymultiple choice

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Which Google service provides free access to Jupyter notebooks with GPU support for prototyping ML models?

Question 6mediummultiple choice

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A company wants to extract structured data from scanned invoices. Which Google Cloud AI service is purpose-built for this use case?

Question 7hardmultiple choice

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A developer is building a mobile app that needs to run an AI model on-device for low-latency inference even without internet. Which Gemini model variant is designed for on-device deployment?

Question 8mediummultiple choice

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A healthcare startup needs to deploy an AI model that processes protected health information (PHI). They require a HIPAA BAA with the cloud provider. Which Google Cloud AI service can meet this compliance requirement?

Question 9easymultiple choice

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Which Google AI research organization is responsible for AlphaFold, a breakthrough in protein structure prediction?

Question 10mediummultiple choice

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A company wants to ground Gemini responses with real-time Google Search results to improve accuracy of current events. Which feature enables this?

Question 11hardmultiple choice

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An enterprise is comparing Google Cloud Vertex AI vs AWS Bedrock vs Azure OpenAI for a generative AI application. Which unique Google differentiator allows the model to reference up-to-date web information and private data with managed retrieval?

Question 12easymultiple choice

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Which Google Cloud AI API is used to convert spoken language into text?

Question 13mediummulti select

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A data scientist wants to train a model using BigQuery ML. Which two statements are true about BigQuery ML? (Choose two.)

Question 14hardmulti select

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A company is deploying a GenAI application that must meet SOC 2 compliance. Which three Google Cloud offerings can be used in a compliant manner? (Choose three.)

Question 15mediummulti select

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A developer wants to use Gemini for multimodal tasks involving images and text. Which two features are available via the Gemini API on Vertex AI? (Choose two.)

Question 16mediummultiple choice

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A healthcare startup needs to process sensitive patient data using NLP models on Google Cloud. They require HIPAA compliance and the ability to run models within their VPC. Which service should they use to access Gemini models?

Question 17hardmultiple choice

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A data science team wants to run a large-scale transformer training job with custom model architectures. They need the highest compute density for a multi-node job and want to minimize inter-node communication latency. Which Google Cloud infrastructure is BEST suited for this workload?

Question 18easymultiple choice

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A company wants to build a text-to-speech application for generating voiceovers in multiple languages. They need to use a pre-built Google API without training custom models. Which service should they use?

Question 19mediummultiple choice

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A financial analyst wants to run a regression model inside BigQuery using SQL, without moving data to a separate ML environment. Which Google Cloud service allows this directly?

Question 20hardmultiple choice

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A machine learning engineer needs to deploy a Gemini model on an Android device for offline inference (no internet connection) to provide real-time suggestions. Which Gemini model variant is MOST appropriate?

Question 21easymultiple choice

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A researcher wants to quickly prototype an AI model using a free, hosted Jupyter notebook environment with GPU support. Which Google product is BEST suited for this?

Question 22mediummultiple choice

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A company is evaluating Google Cloud vs AWS Bedrock for building a multimodal application that needs to understand images, video, and text in a single model. Which unique Google Cloud capability supports this requirement?

Question 23mediummultiple choice

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A company needs to extract structured data from scanned invoices (invoice number, date, total amount) using a pre-built AI solution. Which Google Cloud service is MOST appropriate?

Question 24hardmultiple choice

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A company is deploying a chatbot using Vertex AI and wants to ensure that the model's responses are grounded in Google Search results to reduce hallucinations. Which feature should they enable?

Question 25easymultiple choice

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A developer wants to use a pre-trained model to identify objects in images. Which Google Cloud AI API should they use?

Question 26mediummultiple choice

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A company wants to use Google DeepMind's advances in protein structure prediction to accelerate drug discovery. Which DeepMind achievement is most relevant to this goal?

Question 27hardmultiple choice

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An enterprise customer needs to ensure that all data sent to the Gemini API is not used by Google for model improvement and must support a HIPAA BAA. Which access tier should they use?

Question 28mediummulti select

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A data scientist wants to use Google Cloud AI services to build a solution that transcribes customer support calls, analyzes sentiment, and translates transcripts into multiple languages. Which TWO services are needed?

Question 29hardmulti select

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A company is comparing Google Cloud's AI offerings with AWS Bedrock and Azure OpenAI. They need to select a platform that provides: 1) native multimodal capabilities (image, video, text in one model), 2) integration with enterprise productivity tools, and 3) custom TPU hardware for training. Which THREE differentiators are unique to Google Cloud?

Question 30mediummulti select

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A financial services firm must deploy a conversational AI application using Gemini on Vertex AI. They require: 1) SOC2 compliance, 2) audit logging of model inputs/outputs, and 3) data isolation within their VPC. Which THREE configurations or features should they enable?

Question 31mediummultiple 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 32easymultiple choice

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A data science team wants to run a machine learning model directly on data stored in BigQuery without moving the data to a separate environment. Which Google Cloud service should they use?

Question 33hardmultiple choice

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A healthcare organization needs to process sensitive patient data (PHI) using Google Cloud's Natural Language API for entity extraction. They require HIPAA compliance and data isolation within Google's infrastructure. What is the minimum configuration they must enable?

Question 34mediummultiple choice

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A startup is prototyping a multimodal AI application that processes images and text. They have a limited budget and want the fastest time to market, with minimal infrastructure setup. Which combination of services should they use for prototyping?

Question 35mediummultiple choice

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A large enterprise is deploying a generative AI application that must meet strict latency requirements (under 500ms) and have a guaranteed uptime of 99.95% with full audit logging. Which Google Cloud environment should they use for the Gemini API?

Question 36mediummultiple choice

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A research team at a university is exploring protein folding predictions. They need access to state-of-the-art models and large-scale computational resources at no cost for academic use. Which Google Cloud offering should they use?

Question 37hardmultiple choice

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An organization is running a large-scale training job for a custom NLP model with a batch size of 2048 and sequence length of 512. They need to minimize training time while keeping costs predictable. Which Google Cloud hardware should they choose?

Question 38easymultiple choice

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A developer wants to experiment with Gemini Nano for on-device inference in a mobile app. Which Gemini API tier or environment provides access to Gemini Nano?

Question 39mediummultiple choice

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A data analyst wants to build a regression model in BigQuery to predict sales from historical data without writing any Python code. Which BigQuery ML statement should they use to define the model?

Question 40hardmultiple choice

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A financial services company needs to deploy an AI model that handles highly sensitive transaction data. They require that the model's predictions cannot be inspected by any third party, and the data must remain encrypted at all times, including during inference. Which Google Cloud feature should they use?

Question 41easymultiple choice

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Which Google Cloud AI service is specifically designed for extracting structured data from scanned documents, such as invoices and receipts?

Question 42mediummultiple choice

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A developer is building a real-time speech transcription application for customer support calls. The audio is streamed, and the transcription must be returned with low latency. Which Google Cloud AI service should they use?

Question 43hardmulti select

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A healthcare company wants to use Google Cloud AI services for analyzing medical images and patient records. They need to ensure data is not used to improve Google's models and that all model predictions are logged for audit. Which TWO configurations must be implemented? (Choose TWO)

Question 44mediummulti select

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A company is choosing between Gemini Pro and Gemini Ultra for a document summarization task. Which THREE factors should they consider when deciding between the two model variants? (Choose THREE)

Question 45mediummulti select

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A machine learning team is using Vertex AI to train a custom model. They want to optimize hyperparameters automatically. Which TWO steps are necessary to set up hyperparameter tuning in Vertex AI? (Choose TWO)

Question 46easymultiple choice

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A startup wants to quickly prototype a conversational AI application using Gemini. They need free access during development and do not require VPC controls. Which access tier should they choose?

Question 47easymultiple choice

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A data analyst needs to run a simple regression model directly on data stored in BigQuery without moving data to another platform. Which service should they use?

Question 48easymultiple choice

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A healthcare company needs to process medical records (e.g., discharge summaries) to extract structured data. Which AI API is specifically designed for this purpose?

Question 49mediummultiple choice

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A company is deploying a custom large language model for internal use and requires the lowest cost for inference while maintaining reasonable quality. They can tolerate slight latency. Which Gemini model variant should they choose?

Question 50mediummultiple choice

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A financial services firm needs to fine-tune a large language model on proprietary financial data. They require data to never leave their VPC and need full audit logging. Which Gemini access method should they use?

Question 51mediummultiple choice

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A research team wants to run a large-scale training job for a custom transformer model. They need access to Google's custom AI accelerators with high-speed interconnects for distributed training. Which infrastructure should they use?

Question 52mediummultiple choice

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A company wants to build a chatbot that can answer questions about recent news events up to the current date. They want to minimize hallucinations and ensure factual accuracy. Which Google Cloud feature should they integrate?

Question 53mediummultiple choice

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A data scientist wants to share a Jupyter notebook with interactive visualizations for a Kaggle competition. Which tool should they use to easily publish and collaborate?

Question 54hardmultiple choice

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A regulated healthcare organization needs to use Google Cloud AI services for processing protected health information (PHI). They require a signed Business Associate Agreement (BAA) and HIPAA compliance. Which service provides these assurances?

Question 55hardmultiple choice

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A company is comparing Google Cloud Vertex AI with AWS Bedrock and Azure OpenAI. They need a model that can natively process text, images, audio, and video. Which differentiator does Google Cloud offer?

Question 56hardmultiple choice

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A company wants to run a large-scale training job for a 175B parameter model. They need to minimize training time and cost. Which TPU version and configuration should they choose?

Question 57hardmultiple choice

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An organization needs to build an AI system that can take actions on behalf of users, such as booking appointments or sending emails. They want to use Google Cloud's capabilities for this. Which approach aligns with Google's future direction?

Question 58easymulti select

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A company wants to build a multimodal application that can analyze images and generate captions. They are considering using Google Cloud AI. Which TWO services can be directly used for this purpose?

Question 59mediummulti select

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An enterprise wants to use Gemini for a customer-facing application. They require the following: data isolation in a VPC, audit logging, and SLA guarantees. Which THREE features of Vertex AI satisfy these requirements?

Question 60hardmulti select

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A research lab is planning to train a massive protein folding model similar to AlphaFold. They want to use Google Cloud infrastructure and tools. Which THREE components are most relevant?

Question 61easymultiple choice

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A startup wants to quickly prototype a multimodal AI application that can process images and text using Gemini. They have minimal budget and need a free tier for initial development. Which access tier should they use?

Question 62mediummultiple choice

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A healthcare organization needs to run ML models on patient data stored in BigQuery while ensuring data never leaves the database. Which service allows them to create and execute ML models directly in BigQuery SQL?

Question 63hardmultiple choice

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A company is deploying a generative AI application that must meet HIPAA compliance. They need audit logging, data isolation, and a Business Associate Agreement (BAA). Which Gemini API access tier should they use?

Question 64mediummultiple choice

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A data scientist wants to run large-scale distributed training of a custom deep learning model using Google's custom AI accelerators. Which infrastructure should they choose to minimize cost while leveraging Google's proprietary chips?

Question 65easymultiple choice

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Which Google DeepMind achievement is recognized for predicting protein structures and advancing drug discovery?

Question 66mediummultiple choice

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A developer wants to add real-time speech transcription to a customer call center application. They need low latency and high accuracy for multiple languages. Which Google AI API is most appropriate?

Question 67hardmultiple choice

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A company is comparing Google Cloud Vertex AI vs AWS Bedrock vs Azure OpenAI. Their application requires grounding responses with real-time search results from the internet. Which platform's feature uniquely supports this requirement?

Question 68mediummultiple choice

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An enterprise needs to generate natural-sounding speech from text for a voice assistant. They require low latency and support for custom voice models. Which service should they use?

Question 69mediummultiple choice

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A team is developing a mobile app that must run AI inference on-device for low latency and offline capability. Which Gemini model variant is designed specifically for on-device deployment?

Question 70easymultiple choice

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Which Google Cloud AI service provides a unified ML platform for building, deploying, and managing ML models in production?

Question 71hardmultiple choice

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A company is evaluating SLA guarantees for a generative AI model deployed on Vertex AI. They require at least 99.9% uptime for production inference. Which SLA tier should they select?

Question 72mediummultiple choice

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A data analyst wants to experiment with ML models using a free, cloud-based Jupyter notebook environment with GPU support. Which Google tool should they use?

Question 73mediummulti select

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A data science team is choosing between Gemini Pro and Gemini Flash for a real-time content moderation API. They need low cost and low latency, but can tolerate slightly lower accuracy. Which TWO Gemini variants should they consider?

Question 74hardmulti select

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A financial institution needs to deploy a document processing pipeline to extract data from invoices. They must ensure data isolation, audit logging, and compliance with SOC 2. Which THREE Google Cloud services should they combine?

Question 75easymulti select

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Which TWO of the following are valid Google Cloud AI APIs for natural language processing?

Question 76mediummultiple choice

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A healthcare startup needs to process medical claims and extract structured data (e.g., patient name, procedure codes, amounts) from scanned PDF forms. They require HIPAA compliance and prefer a pre-built Google Cloud service. Which service should they use?

Question 77hardmultiple choice

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A data scientist wants to train a large transformer model from scratch on custom data. They anticipate the training will require thousands of TPU-v5e chips for several weeks. Which Google Cloud infrastructure component is designed for this scale?

Question 78easymultiple choice

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A developer wants to quickly prototype a multimodal application that can process images and text using the Gemini API without incurring any cost. Which access tier should they use?

Question 79mediummulti select

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A financial services company needs to deploy an AI model for fraud detection. They require that the model's predictions be explainable, the data never leaves their VPC, and they need a guarantee of 99.95% uptime. Which TWO Google Cloud offerings should they consider? (Select 2 options.)

Question 80hardmulti select

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A research team wants to leverage Google DeepMind's work to accelerate drug discovery. They are interested in using a model that predicts protein structures and another that can generate novel protein sequences with desired properties. Which TWO Google DeepMind achievements are most relevant? (Select 2 options.)

Question 81mediummultiple choice

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A company has a large dataset of customer support tickets stored in BigQuery. They want to predict ticket severity (high, medium, low) using SQL queries without moving data out of BigQuery. Which service should they use?

Question 82easymultiple choice

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Which Google Cloud AI service would you use to transcribe customer service call recordings into text for subsequent analysis?

Question 83mediummultiple choice

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A company needs to deploy a chatbot on a mobile device that must work offline. They want to use Gemini for natural language understanding but need minimal latency and no cloud dependency. Which Gemini model variant is most appropriate?

Question 84hardmultiple choice

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An organization wants to ensure that when their employees use the Gemini API via Vertex AI, the grounding searches are restricted to internal company knowledge bases rather than the public web. Which feature should they enable?

Question 85easymultiple choice

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A data science team wants to collaborate on a machine learning project using a shared notebook environment that supports Python and R, with free access to GPUs for prototyping. Which Google tool is most suitable?

Question 86mediummulti select

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A global e-commerce company wants to build a multilingual customer support chatbot that can understand queries in 50 languages and respond in the same language. They need to process both text and images (e.g., product photos) in the queries. Which THREE Google Cloud services should they consider? (Select 3 options.)

Question 87mediummultiple choice

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A company using Vertex AI for model training wants to reduce costs by automatically stopping training when the model's performance stops improving. Which Vertex AI feature should they configure?

Question 88hardmultiple choice

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A regulated industry client requires that all AI model predictions be logged with a traceable audit trail, including the model version, input data, and output, for compliance with internal policies. Which Vertex AI feature should they enable?

Question 89mediummultiple choice

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A media company wants to automatically generate captions for video content in multiple languages. The captions should be synced with the audio timeline. Which combination of Google Cloud services is most appropriate?

Question 90mediummulti select

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A company is considering migrating from AWS Bedrock to Google Cloud for generative AI. They want to leverage Google's unique differentiators. Which THREE advantages does Google Cloud offer over AWS Bedrock and Azure OpenAI? (Select 3 options.)

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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A data analyst wants to train and deploy a custom image classification model with minimal ML engineering overhead. Which Google Cloud service should they use?

Question 93hardmultiple choice

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A financial institution needs to deploy a large language model (LLM) for a customer-facing application that must comply with HIPAA and have strict data residency controls. They also require the ability to ground responses in real-time search results from the web. Which combination of services should they use?

Question 94easymulti select

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A startup is building a multimodal application that needs to process both images and text. They want to prototype quickly for free before moving to production with enterprise controls. Which TWO services should they use? (Choose 2)

Question 95mediummulti select

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A research team wants to train a very large transformer model using Google's custom AI accelerators. They need the highest compute density and tightest interconnection for distributed training. Which THREE are true about Google's TPU infrastructure? (Choose 3)

Question 96mediummulti select

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A healthcare company needs to process medical records at scale, extracting structured information from forms and enabling natural language queries. They require HIPAA compliance and want to avoid training custom models. Which TWO services should they use? (Choose 2)

Question 97hardmulti select

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A company is evaluating Google Cloud's AI portfolio versus competitors. They want to leverage Gemini's unique capabilities. Which THREE differentiators should they highlight when comparing to AWS Bedrock and Azure OpenAI? (Choose 3)

Question 98easymulti select

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A data scientist wants to run ML models directly on their BigQuery data without moving data out. Which THREE statements about BigQuery ML are correct? (Choose 3)

Question 99mediummulti select

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A company is deploying Gemini in an enterprise application and needs to choose between Gemini Pro and Gemini Flash for cost optimization. The application has high throughput and can tolerate lower latency. Which TWO considerations should guide the choice? (Choose 2)

Question 100hardmulti select

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A pharmaceutical company wants to use Google DeepMind's research breakthroughs for drug discovery. They need to identify which DeepMind technologies are directly applicable to their work. Which THREE are relevant? (Choose 3)

Question 1mediummultiple 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 2easymultiple choice

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Which Google Cloud service allows you to run machine learning models directly using SQL queries on data in BigQuery?

Question 3hardmultiple choice

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A financial services firm needs to use Gemini for analyzing customer transaction data. They require that all data remain within their VPC and that model inference logs be auditable. Which access tier should they choose?

Question 4mediummultiple choice

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A research team is training a large multimodal model and needs to minimize training time for a fixed budget. Which Google Cloud infrastructure is specifically designed for large-scale training workloads?

Question 5easymultiple choice

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Which Google service provides free access to Jupyter notebooks with GPU support for prototyping ML models?

Question 6mediummultiple choice

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A company wants to extract structured data from scanned invoices. Which Google Cloud AI service is purpose-built for this use case?

Question 7hardmultiple choice

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A developer is building a mobile app that needs to run an AI model on-device for low-latency inference even without internet. Which Gemini model variant is designed for on-device deployment?

Question 8mediummultiple choice

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A healthcare startup needs to deploy an AI model that processes protected health information (PHI). They require a HIPAA BAA with the cloud provider. Which Google Cloud AI service can meet this compliance requirement?

Question 9easymultiple choice

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Which Google AI research organization is responsible for AlphaFold, a breakthrough in protein structure prediction?

Question 10mediummultiple choice

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A company wants to ground Gemini responses with real-time Google Search results to improve accuracy of current events. Which feature enables this?

Question 11hardmultiple choice

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An enterprise is comparing Google Cloud Vertex AI vs AWS Bedrock vs Azure OpenAI for a generative AI application. Which unique Google differentiator allows the model to reference up-to-date web information and private data with managed retrieval?

Question 12easymultiple choice

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Which Google Cloud AI API is used to convert spoken language into text?

Question 13mediummulti select

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A data scientist wants to train a model using BigQuery ML. Which two statements are true about BigQuery ML? (Choose two.)

Question 14hardmulti select

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A company is deploying a GenAI application that must meet SOC 2 compliance. Which three Google Cloud offerings can be used in a compliant manner? (Choose three.)

Question 15mediummulti select

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A developer wants to use Gemini for multimodal tasks involving images and text. Which two features are available via the Gemini API on Vertex AI? (Choose two.)

Question 16mediummultiple choice

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A healthcare startup needs to process sensitive patient data using NLP models on Google Cloud. They require HIPAA compliance and the ability to run models within their VPC. Which service should they use to access Gemini models?

Question 17hardmultiple choice

Read the full AI Ecosystem and Strategy explanation →

A data science team wants to run a large-scale transformer training job with custom model architectures. They need the highest compute density for a multi-node job and want to minimize inter-node communication latency. Which Google Cloud infrastructure is BEST suited for this workload?

Question 18easymultiple choice

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A company wants to build a text-to-speech application for generating voiceovers in multiple languages. They need to use a pre-built Google API without training custom models. Which service should they use?

Question 19mediummultiple choice

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A financial analyst wants to run a regression model inside BigQuery using SQL, without moving data to a separate ML environment. Which Google Cloud service allows this directly?

Question 20hardmultiple choice

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A machine learning engineer needs to deploy a Gemini model on an Android device for offline inference (no internet connection) to provide real-time suggestions. Which Gemini model variant is MOST appropriate?

Question 21easymultiple choice

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A researcher wants to quickly prototype an AI model using a free, hosted Jupyter notebook environment with GPU support. Which Google product is BEST suited for this?

Question 22mediummultiple choice

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A company is evaluating Google Cloud vs AWS Bedrock for building a multimodal application that needs to understand images, video, and text in a single model. Which unique Google Cloud capability supports this requirement?

Question 23mediummultiple choice

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A company needs to extract structured data from scanned invoices (invoice number, date, total amount) using a pre-built AI solution. Which Google Cloud service is MOST appropriate?

Question 24hardmultiple choice

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A company is deploying a chatbot using Vertex AI and wants to ensure that the model's responses are grounded in Google Search results to reduce hallucinations. Which feature should they enable?

Question 25easymultiple choice

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A developer wants to use a pre-trained model to identify objects in images. Which Google Cloud AI API should they use?

Question 26mediummultiple choice

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A company wants to use Google DeepMind's advances in protein structure prediction to accelerate drug discovery. Which DeepMind achievement is most relevant to this goal?

Question 27hardmultiple choice

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An enterprise customer needs to ensure that all data sent to the Gemini API is not used by Google for model improvement and must support a HIPAA BAA. Which access tier should they use?

Question 28mediummulti select

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A data scientist wants to use Google Cloud AI services to build a solution that transcribes customer support calls, analyzes sentiment, and translates transcripts into multiple languages. Which TWO services are needed?

Question 29hardmulti select

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A company is comparing Google Cloud's AI offerings with AWS Bedrock and Azure OpenAI. They need to select a platform that provides: 1) native multimodal capabilities (image, video, text in one model), 2) integration with enterprise productivity tools, and 3) custom TPU hardware for training. Which THREE differentiators are unique to Google Cloud?

Question 30mediummulti select

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A financial services firm must deploy a conversational AI application using Gemini on Vertex AI. They require: 1) SOC2 compliance, 2) audit logging of model inputs/outputs, and 3) data isolation within their VPC. Which THREE configurations or features should they enable?

Question 31mediummultiple 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 32easymultiple choice

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A data science team wants to run a machine learning model directly on data stored in BigQuery without moving the data to a separate environment. Which Google Cloud service should they use?

Question 33hardmultiple choice

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A healthcare organization needs to process sensitive patient data (PHI) using Google Cloud's Natural Language API for entity extraction. They require HIPAA compliance and data isolation within Google's infrastructure. What is the minimum configuration they must enable?

Question 34mediummultiple choice

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A startup is prototyping a multimodal AI application that processes images and text. They have a limited budget and want the fastest time to market, with minimal infrastructure setup. Which combination of services should they use for prototyping?

Question 35mediummultiple choice

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A large enterprise is deploying a generative AI application that must meet strict latency requirements (under 500ms) and have a guaranteed uptime of 99.95% with full audit logging. Which Google Cloud environment should they use for the Gemini API?

Question 36mediummultiple choice

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A research team at a university is exploring protein folding predictions. They need access to state-of-the-art models and large-scale computational resources at no cost for academic use. Which Google Cloud offering should they use?

Question 37hardmultiple choice

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An organization is running a large-scale training job for a custom NLP model with a batch size of 2048 and sequence length of 512. They need to minimize training time while keeping costs predictable. Which Google Cloud hardware should they choose?

Question 38easymultiple choice

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A developer wants to experiment with Gemini Nano for on-device inference in a mobile app. Which Gemini API tier or environment provides access to Gemini Nano?

Question 39mediummultiple choice

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A data analyst wants to build a regression model in BigQuery to predict sales from historical data without writing any Python code. Which BigQuery ML statement should they use to define the model?

Question 40hardmultiple choice

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A financial services company needs to deploy an AI model that handles highly sensitive transaction data. They require that the model's predictions cannot be inspected by any third party, and the data must remain encrypted at all times, including during inference. Which Google Cloud feature should they use?

Question 41easymultiple choice

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Which Google Cloud AI service is specifically designed for extracting structured data from scanned documents, such as invoices and receipts?

Question 42mediummultiple choice

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A developer is building a real-time speech transcription application for customer support calls. The audio is streamed, and the transcription must be returned with low latency. Which Google Cloud AI service should they use?

Question 43hardmulti select

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A healthcare company wants to use Google Cloud AI services for analyzing medical images and patient records. They need to ensure data is not used to improve Google's models and that all model predictions are logged for audit. Which TWO configurations must be implemented? (Choose TWO)

Question 44mediummulti select

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A company is choosing between Gemini Pro and Gemini Ultra for a document summarization task. Which THREE factors should they consider when deciding between the two model variants? (Choose THREE)

Question 45mediummulti select

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A machine learning team is using Vertex AI to train a custom model. They want to optimize hyperparameters automatically. Which TWO steps are necessary to set up hyperparameter tuning in Vertex AI? (Choose TWO)

Question 46easymultiple choice

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A startup wants to quickly prototype a conversational AI application using Gemini. They need free access during development and do not require VPC controls. Which access tier should they choose?

Question 47easymultiple choice

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A data analyst needs to run a simple regression model directly on data stored in BigQuery without moving data to another platform. Which service should they use?

Question 48easymultiple choice

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A healthcare company needs to process medical records (e.g., discharge summaries) to extract structured data. Which AI API is specifically designed for this purpose?

Question 49mediummultiple choice

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A company is deploying a custom large language model for internal use and requires the lowest cost for inference while maintaining reasonable quality. They can tolerate slight latency. Which Gemini model variant should they choose?

Question 50mediummultiple choice

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A financial services firm needs to fine-tune a large language model on proprietary financial data. They require data to never leave their VPC and need full audit logging. Which Gemini access method should they use?

Question 51mediummultiple choice

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A research team wants to run a large-scale training job for a custom transformer model. They need access to Google's custom AI accelerators with high-speed interconnects for distributed training. Which infrastructure should they use?

Question 52mediummultiple choice

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A company wants to build a chatbot that can answer questions about recent news events up to the current date. They want to minimize hallucinations and ensure factual accuracy. Which Google Cloud feature should they integrate?

Question 53mediummultiple choice

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A data scientist wants to share a Jupyter notebook with interactive visualizations for a Kaggle competition. Which tool should they use to easily publish and collaborate?

Question 54hardmultiple choice

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A regulated healthcare organization needs to use Google Cloud AI services for processing protected health information (PHI). They require a signed Business Associate Agreement (BAA) and HIPAA compliance. Which service provides these assurances?

Question 55hardmultiple choice

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A company is comparing Google Cloud Vertex AI with AWS Bedrock and Azure OpenAI. They need a model that can natively process text, images, audio, and video. Which differentiator does Google Cloud offer?

Question 56hardmultiple choice

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A company wants to run a large-scale training job for a 175B parameter model. They need to minimize training time and cost. Which TPU version and configuration should they choose?

Question 57hardmultiple choice

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An organization needs to build an AI system that can take actions on behalf of users, such as booking appointments or sending emails. They want to use Google Cloud's capabilities for this. Which approach aligns with Google's future direction?

Question 58easymulti select

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A company wants to build a multimodal application that can analyze images and generate captions. They are considering using Google Cloud AI. Which TWO services can be directly used for this purpose?

Question 59mediummulti select

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An enterprise wants to use Gemini for a customer-facing application. They require the following: data isolation in a VPC, audit logging, and SLA guarantees. Which THREE features of Vertex AI satisfy these requirements?

Question 60hardmulti select

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A research lab is planning to train a massive protein folding model similar to AlphaFold. They want to use Google Cloud infrastructure and tools. Which THREE components are most relevant?

Question 61easymultiple choice

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A startup wants to quickly prototype a multimodal AI application that can process images and text using Gemini. They have minimal budget and need a free tier for initial development. Which access tier should they use?

Question 62mediummultiple choice

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A healthcare organization needs to run ML models on patient data stored in BigQuery while ensuring data never leaves the database. Which service allows them to create and execute ML models directly in BigQuery SQL?

Question 63hardmultiple choice

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A company is deploying a generative AI application that must meet HIPAA compliance. They need audit logging, data isolation, and a Business Associate Agreement (BAA). Which Gemini API access tier should they use?

Question 64mediummultiple choice

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A data scientist wants to run large-scale distributed training of a custom deep learning model using Google's custom AI accelerators. Which infrastructure should they choose to minimize cost while leveraging Google's proprietary chips?

Question 65easymultiple choice

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Which Google DeepMind achievement is recognized for predicting protein structures and advancing drug discovery?

Question 66mediummultiple choice

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A developer wants to add real-time speech transcription to a customer call center application. They need low latency and high accuracy for multiple languages. Which Google AI API is most appropriate?

Question 67hardmultiple choice

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A company is comparing Google Cloud Vertex AI vs AWS Bedrock vs Azure OpenAI. Their application requires grounding responses with real-time search results from the internet. Which platform's feature uniquely supports this requirement?

Question 68mediummultiple choice

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An enterprise needs to generate natural-sounding speech from text for a voice assistant. They require low latency and support for custom voice models. Which service should they use?

Question 69mediummultiple choice

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A team is developing a mobile app that must run AI inference on-device for low latency and offline capability. Which Gemini model variant is designed specifically for on-device deployment?

Question 70easymultiple choice

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Which Google Cloud AI service provides a unified ML platform for building, deploying, and managing ML models in production?

Question 71hardmultiple choice

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A company is evaluating SLA guarantees for a generative AI model deployed on Vertex AI. They require at least 99.9% uptime for production inference. Which SLA tier should they select?

Question 72mediummultiple choice

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A data analyst wants to experiment with ML models using a free, cloud-based Jupyter notebook environment with GPU support. Which Google tool should they use?

Question 73mediummulti select

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A data science team is choosing between Gemini Pro and Gemini Flash for a real-time content moderation API. They need low cost and low latency, but can tolerate slightly lower accuracy. Which TWO Gemini variants should they consider?

Question 74hardmulti select

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A financial institution needs to deploy a document processing pipeline to extract data from invoices. They must ensure data isolation, audit logging, and compliance with SOC 2. Which THREE Google Cloud services should they combine?

Question 75easymulti select

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Which TWO of the following are valid Google Cloud AI APIs for natural language processing?

Question 76mediummultiple choice

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A healthcare startup needs to process medical claims and extract structured data (e.g., patient name, procedure codes, amounts) from scanned PDF forms. They require HIPAA compliance and prefer a pre-built Google Cloud service. Which service should they use?

Question 77hardmultiple choice

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A data scientist wants to train a large transformer model from scratch on custom data. They anticipate the training will require thousands of TPU-v5e chips for several weeks. Which Google Cloud infrastructure component is designed for this scale?

Question 78easymultiple choice

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A developer wants to quickly prototype a multimodal application that can process images and text using the Gemini API without incurring any cost. Which access tier should they use?

Question 79mediummulti select

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A financial services company needs to deploy an AI model for fraud detection. They require that the model's predictions be explainable, the data never leaves their VPC, and they need a guarantee of 99.95% uptime. Which TWO Google Cloud offerings should they consider? (Select 2 options.)

Question 80hardmulti select

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A research team wants to leverage Google DeepMind's work to accelerate drug discovery. They are interested in using a model that predicts protein structures and another that can generate novel protein sequences with desired properties. Which TWO Google DeepMind achievements are most relevant? (Select 2 options.)

Question 81mediummultiple choice

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A company has a large dataset of customer support tickets stored in BigQuery. They want to predict ticket severity (high, medium, low) using SQL queries without moving data out of BigQuery. Which service should they use?

Question 82easymultiple choice

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Which Google Cloud AI service would you use to transcribe customer service call recordings into text for subsequent analysis?

Question 83mediummultiple choice

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A company needs to deploy a chatbot on a mobile device that must work offline. They want to use Gemini for natural language understanding but need minimal latency and no cloud dependency. Which Gemini model variant is most appropriate?

Question 84hardmultiple choice

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An organization wants to ensure that when their employees use the Gemini API via Vertex AI, the grounding searches are restricted to internal company knowledge bases rather than the public web. Which feature should they enable?

Question 85easymultiple choice

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A data science team wants to collaborate on a machine learning project using a shared notebook environment that supports Python and R, with free access to GPUs for prototyping. Which Google tool is most suitable?

Question 86mediummulti select

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A global e-commerce company wants to build a multilingual customer support chatbot that can understand queries in 50 languages and respond in the same language. They need to process both text and images (e.g., product photos) in the queries. Which THREE Google Cloud services should they consider? (Select 3 options.)

Question 87mediummultiple choice

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A company using Vertex AI for model training wants to reduce costs by automatically stopping training when the model's performance stops improving. Which Vertex AI feature should they configure?

Question 88hardmultiple choice

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A regulated industry client requires that all AI model predictions be logged with a traceable audit trail, including the model version, input data, and output, for compliance with internal policies. Which Vertex AI feature should they enable?

Question 89mediummultiple choice

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A media company wants to automatically generate captions for video content in multiple languages. The captions should be synced with the audio timeline. Which combination of Google Cloud services is most appropriate?

Question 90mediummulti select

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A company is considering migrating from AWS Bedrock to Google Cloud for generative AI. They want to leverage Google's unique differentiators. Which THREE advantages does Google Cloud offer over AWS Bedrock and Azure OpenAI? (Select 3 options.)

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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A data analyst wants to train and deploy a custom image classification model with minimal ML engineering overhead. Which Google Cloud service should they use?

Question 93hardmultiple choice

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A financial institution needs to deploy a large language model (LLM) for a customer-facing application that must comply with HIPAA and have strict data residency controls. They also require the ability to ground responses in real-time search results from the web. Which combination of services should they use?

Question 94easymulti select

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A startup is building a multimodal application that needs to process both images and text. They want to prototype quickly for free before moving to production with enterprise controls. Which TWO services should they use? (Choose 2)

Question 95mediummulti select

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A research team wants to train a very large transformer model using Google's custom AI accelerators. They need the highest compute density and tightest interconnection for distributed training. Which THREE are true about Google's TPU infrastructure? (Choose 3)

Question 96mediummulti select

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A healthcare company needs to process medical records at scale, extracting structured information from forms and enabling natural language queries. They require HIPAA compliance and want to avoid training custom models. Which TWO services should they use? (Choose 2)

Question 97hardmulti select

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A company is evaluating Google Cloud's AI portfolio versus competitors. They want to leverage Gemini's unique capabilities. Which THREE differentiators should they highlight when comparing to AWS Bedrock and Azure OpenAI? (Choose 3)

Question 98easymulti select

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A data scientist wants to run ML models directly on their BigQuery data without moving data out. Which THREE statements about BigQuery ML are correct? (Choose 3)

Question 99mediummulti select

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A company is deploying Gemini in an enterprise application and needs to choose between Gemini Pro and Gemini Flash for cost optimization. The application has high throughput and can tolerate lower latency. Which TWO considerations should guide the choice? (Choose 2)

Question 100hardmulti select

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A pharmaceutical company wants to use Google DeepMind's research breakthroughs for drug discovery. They need to identify which DeepMind technologies are directly applicable to their work. Which THREE are relevant? (Choose 3)