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Good News !!! Generative-AI-Leader Google Cloud Certified - Generative AI Leader Exam is now Stable and With Pass Result

Generative-AI-Leader Practice Exam Questions and Answers

Google Cloud Certified - Generative AI Leader Exam

Last Update 1 day ago
Total Questions : 74

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Question # 1

According to Google-recommended practices, when should generative AI be used to automate tasks?

Options:

A.  

When tasks are highly creative and require original thought.

B.  

When tasks involve sensitive information or require human oversight

C.  

When tasks are repetitive and rule-based.

D.  

When tasks are complex and require strategic decision-making.

Discussion 0
Question # 2

What are core hardware components of the infrastructure layer in the generative AI landscape?

Options:

A.  

TPUs and GPUs

B.  

User interfaces

C.  

Pre-trained models

D.  

Tools and services for building AI models

Discussion 0
Question # 3

A company is defining their generative AI strategy. They want to follow Google-recommended practices to increase their chances of success. Which strategy should they use?

Options:

A.  

Rapid implementation strategy

B.  

Bottom-up strategy

C.  

Multi-directional strategy

D.  

Top-down strategy

Discussion 0
Question # 4

A company is using a language model to solve complex customer service inquiries. For a particular issue, the prompt includes the following instructions:

"To address this customer's problem, we should first identify the core issue they are experiencing. Then, we need to check if there are any known solutions or workarounds in our knowledge base. If a solution exists, we should clearly explain it to the customer. If not, we might need to escalate the issue to a specialist. Following these steps will help us provide a comprehensive and helpful response. Now, given the customer's message: 'My order hasn't arrived, and the tracking number shows no updates for a week,' what should be the next step in resolving this?"

What type of prompting is this?

Options:

A.  

Zero-shot

B.  

Few-shot

C.  

Role-based

D.  

Chain-of-thought

Discussion 0
Question # 5

An organization wants to understand trends in customer interactions, identify common issues, gauge customer sentiment, and improve the overall customer experience across both their automated chatbot interactions and live agent support. They need a tool that can analyze their existing conversational data to gain actionable business intelligence. What component of Google's Customer Engagement Suite best addresses this need?

Options:

A.  

Google Cloud Contact Center as a Service

B.  

Agent Assist

C.  

Conversational Agents

D.  

Conversational Insights

Discussion 0
Question # 6

A company has a machine learning project that involves diverse data types like streaming data and structured databases. How does Google Cloud support data gathering for this project?

Options:

A.  

Google Cloud provides tools such as Pub/Sub, Cloud Storage, and Cloud SQL.

B.  

The Gemini app is the primary Google Cloud tool for directly collecting data.

C.  

Google Cloud’s strengths are in the data analysis tools such as BigQuery.

D.  

Google Cloud relies on Vertex AI to connect to external data.

Discussion 0
Question # 7

A large e-commerce company with a vast and frequently updated product catalog finds that customers struggle to find products on their website, and support agents spend too much time finding detailed product information. The company wants to improve search accuracy and efficiency for both customers and support. What Google Cloud solution should they use?

Options:

A.  

Vertex AI Conversation

B.  

Vertex AI Natural Language API

C.  

Pre-built RAG with Vertex AI Search

D.  

Vertex AI Model Garden

Discussion 0
Question # 8

A retail company with a large online catalog wants to improve customer experience and drive sales by implementing multimodal search capabilities (image, voice, and text). What is a primary business benefit of this capability?

Options:

A.  

Improved customer engagement and product discovery leading to increased satisfaction and potential sales.

B.  

Reduced dependency on keyword optimization for product listings and improved search engine rankings.

C.  

Lowered operational costs associated with managing and updating product information across different platforms and channels.

D.  

Streamlined inventory management processes and more accurate demand forecasting for popular items.

Discussion 0
Question # 9

A company wants to choose a generative AI (gen AI) use case that will be successful and have the most impact. What key factor should they determine first according to Google Cloud-recommended practices?

Options:

A.  

The number of employees who will be trained to use the new gen AI tools.

B.  

The specific business problems the company aims to solve and the desired outcomes.

C.  

The availability of pre-trained models that are offered on various cloud computing platforms.

D.  

The frequency of updates to the underlying foundation models used by different gen AI platforms.

Discussion 0
Question # 10

What will Google Cloud's Agent Assist help a company achieve?

Options:

A.  

The infrastructure to provide an enterprise-grade contact center solution with omnichannel support, routing, and integration with CRM systems.

B.  

The ability to analyze conversational data to identify customer sentiment, common topics of discussion, and insights into agent performance and customer experience.

C.  

The ability to provide real-time assistance and recommended responses to live customer service agents during their interactions.

D.  

The ability to build and deploy deterministic and generative chatbot agents for automated customer support.

Discussion 0
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