Examen Google AI 1

A research company needs to analyze several lengthy PDF documents containing financial reports and identify key performance indicators (KPIs) and their trends over the past year. They want a Google Cloud prebuilt generative AI tool that can process these documents and provide summarized insights directly from the source material with citations. What should the analyst do?

• Create a custom Gem in Gemini Advanced with predefined KPIs to look across different financial reports.

• Use the Gemini app to ask general financial trend questions.

• Use NotebookLM to upload and analyze the documents.

• Use Gemini for Google Workspace within Google Docs to copy and paste sections of the reports for summary and analysis.

A company is developing a generative AI-powered customer support chatbot. They want to ensure the chatbot can answer a wide range of customer questions accurately, even those related to recently updated product information not present in the model's original training data. What is a key benefit of implementing retrieval-augmented generation (RAG) in this chatbot?

• RAG will significantly reduce the computational resources required to run the generative AI model.

• RAG will primarily help the chatbot generate more creative and engaging conversational responses.

• RAG will enable the chatbot to fine-tune its underlying language model on the fly based on customer interactions.

• RAG will enable the chatbot to access and utilize external, up-to-date knowledge sources to provide more accurate and relevant answers.

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

• TPUs and GPUs

• User interfaces

• Pre-trained models

• Tools and services for building AI models

An organization is collecting data to train a generative AI model for customer service. They want to ensure security throughout the ML lifecycle. What is a critical consideration at this stage?

• Implementing access controls and protecting sensitive information within the training data.

• Applying the latest software patches to the AI model on a regular basis.

• Establishing ethical guidelines for AI model responses to ensure fairness and avoid harm.

• Monitoring the AI model's performance for unexpected outputs and potential errors.

What is a key advantage of using Google's custom-designed TPUs?

• A) TPUs are lightweight processors intended for deployment on edge devices.

• B) TPUs increase the storage capacity and data retrieval speeds within Google Cloud data centers.

• C) TPUs are specialized AI processors that excel at parallel processing for machine learning workloads.

• D) TPUs are primarily designed to improve the general processing speed of virtual machines in the cloud.

A company wants to build a model to classify customer reviews as positive, negative, or neutral. They have collected a dataset of thousands of customer reviews, and each review has been manually tagged with the corresponding sentiment: positive, negative, or neutral. What machine learning should the company use?

• Deep learning

• Unsupervised learning

• Reinforcement learning

• Supervised learning

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?

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

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

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

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

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?

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

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

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

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

A company collects customer feedback through open-ended survey questions where customers can write detailed responses in their own words, such as 'The product was easy to use, and the customer support was excellent, but the delivery took longer than expected.' What type of data is this?

• A. Unstructured data

• B. Structured data

• C. Labeled data

• D. Quantitative data

A customer service team wants to use generative AI to improve the quality and consistency of their email responses to customer inquiries. They need a solution that can guide the AI to adopt a helpful, empathetic tone while adhering to company policies. Which prompting technique should they use?

• Prompt chaining that engages the AI in a conversation to gather the necessary information before generating the email response.

• Role prompting that instructs the AI to act as an experienced customer service representative with corporate knowledge.

• One-shot prompting that provides a single example of a good customer service email.

• Few-shot prompting that provides examples of good and bad customer service emails.