Google Generative-AI-Leader Actual Free Exam Questions & Community Discussion

Exam Code/Number: Generative-AI-Leader
Exam Name/Title: Google Cloud Certified - Generative AI Leader Exam
Certification Provider: Google
Corresponding Certification: Google Cloud Certified

Exam Questions: 117
Updated On: Oct 11, 2026

Question #9

A manager wants to ensure that only quality data is used in their AI model. Which scenario is most likely to lead to an unfair and biased outcome?

A. A company's customer service natural language processing model is trained on a dataset containing incorrectly encoded text from older website versions.

B. A technology firm trains a facial recognition system primarily using images of individuals from one demographic group, with limited representation from other groups.

C. A financial institution builds a fraud detection model using transaction data that is incomplete, lacking details about the merchants involved in a significant percentage of the transactions.

D. A marketing team creates a personalized recommendation engine based on website clickstream data that includes bot traffic.

Discussion 0

Correct Answer: B Vote an answer

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Question #10

An order fulfillment team has an agent that automatically processes orders, updates inventory, sends shipping notifications, and handles returns. What type of agent is this?

A. A customer service agent

B. A workflow agent

C. An employee productivity agent

D. A conversational agent

Discussion 0

Correct Answer: B Vote an answer

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Question #11

A development team is building an internal knowledge base chatbot to answer employee questions about company policies and procedures. This information is stored across various documents in Google Cloud Storage and is updated regularly by different departments. What is the primary benefit of using Google Cloud's RAG APIs in this scenario?

A. They provide a pre-built user interface for the chatbot, simplifying the front-end development process.

B. They automatically create summaries of all company policies, which are then presented to employees as quick answers.

C. They allow the development team to train a single foundation model on all company documents.

D. They enable the generative AI model to retrieve the most up-to-date and relevant information from the policy documents in real-time.

Discussion 0

Correct Answer: D Vote an answer

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Question #12

A highly regulated financial institution wants to use Gemini as the core decision engine for a loan approval system that will deterministically approve or reject loan applications based on a strict set of predefined criteri a. Why is this an inappropriate use case for Gemini?

A. Gemini deployment for this scenario would be too expensive and complex.

B. Gemini is not equipped to handle structured numerical data for financial assessments.

C. Gemini cannot integrate with required financial databases.

D. Gemini is designed for flexible content generation and inference, not rigid rule-based decisions.

Discussion 0

Correct Answer: D Vote an answer

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Question #13

A large e-commerce company has a vast catalog of product images and needs to classify these images to improve product categorization and search functionality on their website. Most of the images in their dataset are labeled. They want to build and train an image recognition model for their product catalog. Which Google Cloud offering should they use?

A. Gemini Code Assist

B. Agent Search on Gemini Enterprise Agent Platform

C. Google AI Studio

D. AutoML on Gemini Enterprise Agent Platform

Discussion 0

Correct Answer: D Vote an answer

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Question #14

A global news agency is developing a generative AI tool to quickly summarize breaking news articles as they emerge online. The goal is to provide their audience with rapid updates on fast-developing stories from various global sources. What Google Cloud solution should they use?

A. Document AI

B. Vertex AI Natural Language API

C. Grounding with Google Search

D. BigQuery

Discussion 0

Correct Answer: C Vote an answer

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Question #15

A customer support team uses a generative AI agent to answer product questions. The AI cannot answer questions about a new software version with features and troubleshooting documented in internal articles that weren't part of its training dat a. What cost-effective technique should they use to improve their output?

A. Role-based prompting

B. Fine-tuning the foundation model with the new documentation

C. Retrieval augmented generation (RAG)

D. Basic prompting with provided examples

Discussion 0

Correct Answer: C Vote an answer

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Question #16

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

B. Generate the video frames with Imagen.

C. Create a video with Google Vids.

D. Prompt the Gemini app to create a video.

Discussion 0

Correct Answer: C Vote an answer

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