GG-GENAI-PCA+Topic

A human resources department deploys a generative AI (gen AI) model to screen job applications and provide a shortlist of candidates to recruiters. Recruiters notice that some seemingly qualified candidates are consistently being overlooked, but the AI provides no explanation for its rankings or exclusions. The company needs to address this lack of transparency. What should they do?

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

• Fine-tune the gen AI model.

• Implement explainable gen AI policies.

• Develop fairness assessments for the gen AI model.

A company is evaluating the use of large language models (LLMs) to enhance its operations and customer interactions. What is a primary characteristic of LLMs?

• LLMs excel in highly specific technical tasks requiring deep, singular domain expertise.

• LLMs learn and generalize effectively from small datasets for niche applications.

• LLMs have strong inherent logical reasoning and problem-solving abilities without extra prompting.

• LLMs are trained on vast datasets, enabling broad language and context understanding, and adaptability across many tasks.

An AI robot learns optimal package delivery routes in a city. It receives positive scores for fast, successful deliveries and negative scores for delays or failures. Through this feedback, the robot improves its navigation over time. What type of machine learning is being used to train the robot?

• Supervised learning

• Deep learning

• Unsupervised learning

• Reinforcement learning

A company wants to use generative AI (gen AI) to automate complex workflows and improve decision-making across its various departments. They are considering implementing AI agents as a key component of their strategy. What is the primary function of an AI agent in a gen AI system?

• To provide the computing power for training and running advanced AI models.

• To be the user interface for interacting with AI models.

• To be a smart system that can analyze, use tools, and make decisions to reach goals.

• To be a central storage place for the data that AI models use.

An advertising agency needs to quickly generate many photorealistic images from text for client campaigns because traditional photoshoots are slow and costly. They want to rapidly create high-quality visuals from text and reduce expenses. Which Google foundation model should they use?

• Gemini

• Gemma

• Veo

• Imagen

A company is planning to integrate generative AI into its operations but is wary of becoming dependent on a single technology provider. They prioritize the ability to choose and integrate different AI tools and platforms as their needs evolve. Which inherent characteristic of Google Cloud would address this concern?

• Google Cloud's emphasis on an open approach within its AI offerings.

• Google Cloud's commitment to tightly integrated, proprietary AI solutions.

• Google Cloud's strategy prioritizing fully managed AI services that simplify the user experience.

• Google Cloud's primary focus on automating AI workflows.

A consulting research team needs to analyze multiple lengthy reports and documents to find key trends and make client recommendations. They require a method to quickly understand each document's core findings, link information across sources, and efficiently organize insights for their report. Manual methods are too slow and complex. Which Google Cloud offering should they use?

• NotebookLM

• Gemini app

• Vertex AI Search

• Google Workspace with Gemini

A grocery store chain has data in several internal systems like sales, inventory, and marketing. Employees waste time searching these systems for information on product performance, stock, and campaign effectiveness. They need a central way to easily access and understand data across these systems for better decisions and efficiency. Which Google Cloud offering should they use?

• Google Workspace with Gemini

• Vertex AI Search

• Looker Studio

• BigQuery

A tech company has separate teams using different tools for their machine learning projects, causing duplicated work and scaling issues. They need a central platform to manage all their AI development, deployment, and monitoring efficiently. Which Google Cloud offering should they use?

• Cloud Functions

• Vertex AI

• Gemini Enterprise

• BigQuery

A software company's AI chatbot struggles to answer customer questions about recently released features because this information is not in its original training data. Customers are getting inaccurate answers, increasing support agent workload. The company wants the chatbot to use the latest product documentation to give accurate, up-to-date responses without retraining the entire model. Which technique should they use?

• Fine-tuning

• Prompt engineering

• Retrieval-augmented generation (RAG)

• Human-in-the-loop (HITL)