Free GCP-GAIL sample questions

Correct answer: Gemma

Gemma models are lightweight open models built from Gemini research. You can download them and run them on your own servers or edge devices, so the data never leaves your environment.

Correct answer: Data Preparation

In the ML lifecycle, data ingestion and preparation collect raw data, clean it and turn it into a format that a model can learn from. Deployment and monitoring come later, after the model is trained.

Correct answer: Structured data

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.

Correct answer: False

This is false. A foundation model is trained on massive amounts of diverse data, so it can handle many tasks and be adapted later. A model trained on a small dataset for one task is a task-specific model.

Correct answer: Infrastructure Layer

TPUs and GPUs are hardware chips that speed up AI work. They belong to the infrastructure layer, which gives the computing power to train and run models. The model layer holds models such as Gemini.

Correct answer: Reinforcement Learning

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.