Google Cloud Generative AI Leader Practice Questions
Prepare for GCP-GAIL with more than an answer.
Unlock the full exam and previous versions
- v1Google Cloud Generative AI Leader 175 questions Current
- GAILLegacy Generative AI Leader 204 questions Locked
- Exam fee
- $99 USD
- Time limit
- 90 minutes
- Questions on the exam
- 50-60
- Passing score
- Pass/Fail (approximately 70%) (scale Pass/Fail)
- Level
- Foundational
- Valid for
- 3 years
Domains covered on the exam 4
- Fundamentals of Generative AI30%
- Google Cloud's Generative AI Offerings35%
- Techniques to Improve Generative AI Model Output20%
- Business Strategies for a Successful Gen AI Solution15%
- 1
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?
Show answer details
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.
- 2
A developer needs to choose a model for a mobile application that requires offline text summarization. The model must run directly on the user's device to ensure privacy and low latency. Which model is the correct choice?
Show answer details
Correct answer: B
Gemini Nano is the most efficient version of the Gemini family, specifically optimized for on-device tasks. It is designed to run locally on mobile devices (like Pixel phones) to enable features without internet connectivity.
- 3
Which of the following best describes the difference between 'Supervised Learning' and 'Unsupervised Learning'?
Show answer details
Correct answer: B
Supervised learning relies on 'labels' (ground truth) to teach the model (e.g., spam detection). Unsupervised learning works with raw data to find structures or clusters without explicit labels (e.g., customer segmentation).
- 4
A business leader is evaluating the trade-offs of using a foundation model with a very large context window (e.g., 1M tokens). What is a primary cost or performance implication of choosing a model with a larger context window?
Show answer details
Correct answer: B
Processing a larger context window requires significantly more memory and compute power, which generally leads to higher latency (slower response times) and higher inference costs compared to smaller context windows.
- 5
A global retail organization is planning to implement a Generative AI solution to automatically create marketing images for thousands of products based on their textual descriptions. The solution requires high-fidelity photorealistic output and must be integrated directly into their existing Google Cloud content management workflow. Which Google Cloud foundation model is specifically designed for this modality?
Show answer details
Correct answer: B
Imagen is Google's text-to-image diffusion model specifically designed to generate high-quality, photorealistic images from text prompts. While Gemini is multimodal, Imagen is the specialized model for pure image generation tasks in this context. Veo is for video, and Gemma is a family of lightweight open models that output text.
- 6
A financial institution wants to deploy a Generative AI model to summarize sensitive internal financial reports. Due to strict regulatory compliance, the model must run entirely on their own self-managed infrastructure or edge devices, ensuring no data leaves their controlled environment. Which Google model family is best suited for this requirement?
Show answer details
Correct answer: C
Gemma is a family of lightweight, open models built from the same research and technology as Gemini. It is specifically designed for responsible AI development and can be deployed locally on workstations, edge devices, or self-managed infrastructure, meeting strict data residency and isolation requirements.
