Free Generative-AI-Leader Practice Test Questions 2026

73 Questions


Last Updated On : 27-Apr-2026


What is a characteristic of Google Cloud as a generative AI company?


A. Google Cloud provides fully autonomous AI agents that require zero configuration or management overhead.


B. Google Cloud has an AI-first focus that enables innovation, with continuous updates and broad integration across its platform.


C. Google Cloud ensures that all generative AI models and data are completely secured and isolated from external networks.


D. Google Cloud relies on proprietary, closed-source AI technologies for maximum security benefits.





B.
  Google Cloud has an AI-first focus that enables innovation, with continuous updates and broad integration across its platform.

A software developer needs a highly efficient, open-source large language model that can be fine-tuned on a local machine for rapid prototyping of a chatbot application. They require a model that offers strong performance in natural language understanding and generation, while being lightweight enough to run on limited hardware. Which Google-developed family of models should they use?


A. Veo


B. Gemini


C. Gemma


D. Imagen





C.
  Gemma

A company wants to use an AI agent to automate some tasks. They want everyone to understand the different functions of an AI agent. What is the function of an AI agent in the context of gen AI?


A. To provide the computational resources needed to train and run gen AI models.


B. To store and manage large datasets used for training and running gen AI models.


C. To provide a user-friendly interface for interacting with gen AI models.


D. To analyze situations, use multiple tools, and make informed decisions without requiring constant human input.





D.
  To analyze situations, use multiple tools, and make informed decisions without requiring constant human input.

The office of the CISO wants to use generative AI (gen AI) to help automate tasks like summarizing case information, researching threats, and taking actions like creating detection rules. What agent should they use?


A. Security agent


B. Data agent


C. Code agent


D. Customer service agent





A.
  Security agent

An organization needs an AI tool to analyze and summarize lengthy customer feedback text transcripts. You need to choose a Google foundation model with a large context window. What foundation model should the organization choose?


A. Gemini


B. CodeGemma


C. Imagen


D. Chirp





A.
  Gemini

A learning and development team wants to quickly create a new hire training video with a custom avatar and voiceover that matches their company's branding and key messaging. They did not receive any money to spend on the production. What should they do?


A. Generate the video frames with Imagen.


B. Prompt the Gemini app to create a video.


C. Train a model with Vertex AI and produce a video.


D. Create a video with Google Vids.





D.
  Create a video with Google Vids.

A company is trying to decide which platform to use to optimize its generative AI (gen AI) solutions. Why should the company use Vertex AI Platform?


A. It provides a mechanism for efficient analysis and exploration of large datasets used in machine learning.


B. It provides gen AI coding assistance with enterprise security and privacy protection.


C. It provides scalable and cost-effective object storage for data used in machine learning workflows.


D. It provides a unified platform of tools for building, deploying, and managing machine learning.





D.
  It provides a unified platform of tools for building, deploying, and managing machine learning.

What does Model Garden enable a company to do?


A. Discover, customize, and deploy existing models from Google and its partners.


B. Evaluate the performance of different models using various metrics.


C. Manage different versions of a model, including the code, data, and parameters used to train it.


D. Train new models from scratch using large datasets.





A.
  Discover, customize, and deploy existing models from Google and its partners.

An organization wants to use generative AI to create a chatbot that can answer customer questions about their account balances. They need to ensure that the chatbot can access previous portions of the conversation with the customer. Which prompting technique should they use?


A. Use zero-shot prompting.


B. Use role prompting.


C. Use few-shot prompting.


D. Use prompt chaining.





D.
  Use prompt chaining.

A company’s development team is eager to start building generative AI solutions with Google Cloud, but has limited experience in AI development. They need to launch their gen AI solution quickly. What Google Cloud benefit would help the company achieve their goal?


A. Google Cloud's pre-trained models and low- and no-code AI tools and services.


B. Google Cloud's collaborative AI community and support forums connect developers with AI experts.


C. Google Cloud's comprehensive training materials and tutorials to help developers.


D. Google Cloud's focus on continuous improvement provides access to the latest AI tools, features, and best practices.





A.
  Google Cloud's pre-trained models and low- and no-code AI tools and services.

A data science team needs a centralized and organized location to store its various model versions, track their metadata, and easily deploy them to the respective applications. What Google Cloud service should they use?


A. Cloud Storage


B. Model Registry


C. BigQuery


D. Vertex AI Pipelines





B.
  Model Registry

A financial institution uses generative AI (gen AI) to approve and reject loan applications, but gives no reasons for rejection. Customers are starting to file complaints. The company needs to implement a solution to reduce the complaints. What should the company do?


A. Collect a larger and more diverse dataset for the gen AI model.


B. Implement explainable gen AI policies.


C. Fine-tune the gen AI model.


D. Develop fairness assessments for the gen AI model.





B.
  Implement explainable gen AI policies.


Page 2 out of 7 Pages
Next
123
Generative-AI-Leader Practice Test Home

What Makes Our Google Cloud Certified - Generative AI Leader Practice Test So Effective?

Real-World Scenario Mastery: Our Generative-AI-Leader practice exam don't just test definitions. They present you with the same complex, scenario-based problems you'll encounter on the actual exam.

Strategic Weakness Identification: Each practice session reveals exactly where you stand. Discover which domains need more attention, before Google Cloud Certified - Generative AI Leader exam day arrives.

Confidence Through Familiarity: There's no substitute for knowing what to expect. When you've worked through our comprehensive Generative-AI-Leader practice exam questions pool covering all topics, the real exam feels like just another practice session.