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Google Cloud Certified - Generative AI Leader Exam Generative-AI-Leader Exam Questions

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Question #1 (Topic: Demo Questions)

In which situation would it be most beneficial to ground a language model in first-party information?

A.

A customer asks a company ' s chatbot for specific details about their recent purchase history.

B.

A marketing team wants to use a language model to understand public sentiment surrounding their industry.

C.

A user asks a general-purpose AI assistant for the definition of a common scientific term.

D.

An analyst wants to use a language model to summarize news articles from various global sources.

Correct Answer: A
Explanation:

First-party information is data owned or directly collected by an organization, such as customer transactions, account records, support history, and purchase details. A chatbot cannot reliably answer a question about a customer’s recent purchase history from a foundation model’s general training data. It must be grounded in the company’s current, authorized customer records to provide an accurate and personalized response. Appropriate identity verification and access controls must also be applied before retrieving the information. Public sentiment is generally evaluated using external public data, while definitions of common scientific terms can normally be answered from general model knowledge. Summarizing global news requires grounding in external news sources rather than proprietary first-party records. Therefore, retrieving specific purchase-history information is the clearest situation where first-party grounding provides essential factual context.

Question #2 (Topic: Demo Questions)

What is the definition of generative AI?

A.

A type of artificial intelligence that enables a system to autonomously learn and improve using neural networks and deep learning.4

B.

A type of artificial intelligence that can create new content and ideas, including text, images, music, and code.

C.

A type of machine learning algorithm inspired by the human brain that is made up of interconnected nodes.

D.

A type of predictive model that estimates a relationship by fitting a line to the observed data.

Correct Answer: B
Explanation:

The defining characteristic of generative AI is its ability to create new, original content that resembles its training data. This includes various modalities like text, images, music, and code, rather than just classifying, predicting, or analyzing existing data.

Question #3 (Topic: Demo Questions)

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.

Correct Answer: D
Explanation:

An AI agent, especially in the context of generative AI, is designed to be more autonomous and capable than a simple model. Its function is to understand a goal, analyze a situation, leverage various tools (including other generative AI models or external APIs), and make decisions or take actions to achieve that goal, often with minimal human intervention

Question #4 (Topic: Demo Questions)

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.

Correct Answer: D
Explanation:

The scenario requires quick creation of a training video using a custom avatar and voiceover while adhering to zero cost for production.

Google Vids is an AI-powered video creation app (part of Google Workspace/Gemini features) designed to make video creation accessible for teams without the overhead of traditional production. It specifically offers features like AI avatars and voiceovers for content such as trainings, demos, and onboarding videos. This directly addresses the need for a low-cost, fast solution for a new hire training video with custom branding elements (custom avatars and voiceovers are a key feature of the tool).

Option A, Imagen, is a Google foundation model specialized for image generation, not the creation of structured, narrated training videos with avatars. Option B, using the Gemini app, is primarily for text, code, and multimodal chat/generation, and is not the dedicated Google application for video production. Option C, training a model with Vertex AI, is a highly technical, time-consuming, and expensive endeavor that violates the need for a quick and zero-cost solution. Therefore, using the purpose-built, gen AI-enabled Google Vids application is the correct and most efficient choice.

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Question #5 (Topic: Demo Questions)

A large multinational corporation with geographically dispersed teams struggles with knowledge silos and inconsistent access to crucial internal information. What is a key business benefit of using Gemini Enterprise in this scenario?

A.

Automation of employee performance reviews using AI.

B.

Improved IT infrastructure management across offices.

C.

Enhanced data encryption and compliance for internal communications.

D.

Seamless knowledge sharing and collaboration across internal systems.

Correct Answer: D
Explanation:

Gemini Enterprise can connect employees with relevant organizational knowledge distributed across different applications, repositories, and business systems. Its enterprise search and generative AI capabilities help users discover, synthesize, and act on internal information through a unified conversational experience. This reduces knowledge silos and enables geographically dispersed teams to obtain consistent answers without manually searching numerous systems or depending on specific colleagues. Employee performance reviews are not the central requirement, and Gemini Enterprise is not primarily an IT infrastructure-management platform. Although Google Cloud provides strong security and compliance capabilities, improved encryption alone does not resolve inconsistent information access. The scenario specifically concerns fragmented organizational knowledge and cross-team collaboration. Therefore, seamless knowledge sharing and collaboration across connected internal systems is the most relevant business benefit.

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