GCP-GAIL Sample Questions & Answers
Google Cloud's own generative-AI products and prebuilt offerings for work and customer experience carry the most weight, next to core gen AI concepts, prompt engineering plus grounding methods, and secure, responsible business adoption.
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- Question 1Beginner
Fundamentals of Generative AI · Data Types in Gen AI and Business Implications
A startup is building a chatbot that needs to access a proprietary SQL database to look up real-time inventory levels. The data in the SQL database is organized in tables with rows and columns. How is this type of data classified?
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Correct answer: B
Structured data is highly organized and formatted, typically residing in relational databases (RDBMS) with defined schema (rows and columns). Unstructured data refers to text, images, or audio that lacks a pre-defined data model.
- Question 2Beginner
Fundamentals of Generative AI · Core Gen AI Concepts and Use Cases
True or False: A 'Foundation Model' is a model trained on a small, specific dataset designed to perform a single specialized task effectively.
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Correct answer: B
False. Foundation models are large models trained on massive amounts of diverse, largely unlabeled data. This gives them a broad understanding and makes them flexible across a wide range of use cases, and they can then be adapted to specialized domains through additional, targeted training (such as fine-tuning). A model trained on a small dataset for a single task is a traditional task-specific model, not a foundation model.
- Question 3Beginner
Fundamentals of Generative AI · Core Layers of the Gen AI Landscape
An organization is categorizing its AI stack. They have identified 'Google Cloud TPUs' and 'GPUs' as part of their environment. In which layer of the Generative AI landscape do these components reside?
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Correct answer: B
TPUs (Tensor Processing Units) and GPUs (Graphics Processing Units) are hardware accelerators that form the Infrastructure Layer. This layer provides the compute power necessary to train and serve models. The Model layer consists of the algorithms (like Gemini).
- Question 4Beginner
Fundamentals of Generative AI · Core Gen AI Concepts and Use Cases
Which machine learning approach involves an agent learning to make decisions by performing actions in an environment and receiving feedback in the form of rewards or penalties?
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Correct answer: D
Reinforcement Learning (RL) is the approach where an agent learns optimal actions through trial and error, maximizing a cumulative reward. Supervised learning uses labeled data, while unsupervised learning finds patterns in unlabeled data.
- Question 5Beginner
Fundamentals of Generative AI · Google's Foundation Models
A media company wants to use Generative AI to automatically generate short video clips from text descriptions for their social media channels. Which Google foundation model should they select?
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Correct answer: B
Veo is Google's video generation foundation model: it generates video content from text descriptions or still images (Veo 3 and 3.1 produce 4-, 6- or 8-second clips at 720p or 1080p, and Veo 3.1 also offers 4K). Imagen generates still images from text, Gemini Nano is a compact on-device model, and BERT is a language-understanding model that does not generate video.
- Question 6Intermediate
Fundamentals of Generative AI · Data Types in Gen AI and Business Implications
You are consulting for a healthcare provider that has massive amounts of 'unstructured data' in the form of doctor's notes and medical imaging. They want to use AI to extract insights. Which of the following is a primary characteristic of this unstructured data?
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Correct answer: B
Unstructured data does not follow a specific format or schema (like rows/columns). Examples include emails, PDF documents, images, and audio files. Generative AI is particularly powerful at processing this type of data.
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