a research company needs to analyze several lengthy PDF documents containing financial reports and
identify KPS and their trends. they want a google pre-built gen AI tool that can process and summarize
insights directly from the source material with citations. what should they use? - Answers C: use
NotebookLM to upload and analyze the documents
an organization wants granular control over who can use and see their gen AI models and related
resources on goole cloud. which google cloud security offering is specifically designeed for this
purpose? - Answers A: identity and access management
a software developer needs a highly efficient, open source LLM that can be fine tuned on a local
machine for rapid prototyping of a chatbot application. they require a model that offers strong
performance in natural language understanding and generation, while being lightweight enough to
run on limited hardware. which goole developed family of models should they use? - Answers C:
Gemma
an organization needs an AI tool to analyze and summarize lengthy customer feedback text
transcripts. they need to choose a google foundation model with a large context window. which
foundation model should the organization choose? - Answers A: Gemini
what is a primary benefit of using a multi-agent system? - Answers D: to manage complex tasks that
demand coordinated AI functions
a company wants to create an AI powered educational solution that provides personalized learning
experiences for students. this platform will assess a student's knowledge, recommend relevant
learning materials, and generate personalized exercises. the application would provide the structure
for lessons and track progress. what type of AI solution should they use? - Answers D: a customized
learning agent
a retail store 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? - Answers A: improved customer engagement and product discovery
leading to increased satisfaction and potential sales
a company is developing an AI character for a video game. the character needs to learn how to
navigate a complex environment and make decisions to achieve certain objectives within the game.
when the AI takes actions that lead to positive outcomes like finding a reward or overcoming an
obstacle, it receives a positive score. through this process of trial and error, the AI gradually improves
the character's ability to play the game effectively. what machine learning should the company use? -
Answers A: reinforcement learning
a company is defining their AI strategy. they want to follow google recommended practices to
increase their chances of success. which strategy should they use? - Answers C: multi-directional
strategy
a financial services company receives a high volume of loan applications daily, submitted as scanned
documents and PDFs with varying layouts. the manual process of extracting key information is time
consuming and prone to error. the company wants to automate the extraction of this data to improve
efficiency and accuracy. which google cloud tool should they use? - Answers D: document AI API
what does Vertex AI Search enable companies to do? - Answers D: ground LLM responses with first-
party data, third-party data, and google's knowledge graph
a software development team wants to use gen AI to code faster so they can launch their software
prototype quickly. what should the team do? - Answers B: use gen AI to suggest code snippets and
complete functions
what will Google Cloud's Agent Assist help a company achieve? - Answers C: the ability to provide
real-time assistance and recommendations to live customer service agents during their interactions
a highly regulated financial institution wants to use Gemini as the core decision engine for a long
approval system that will approve or reject loan applications based on a strict set of of predefined
criteria. why is this an inappropriate use case for Gemini? - Answers C: Gemini is designed for flexible
content generation and inference, not rigid, rule-based decisions
a company wants a gen AI platform that provides infrastructure, tools, and pretrained models needed
to build, deploy, and manage its gen AI solutions. which google cloud offering should the company
use? - Answers B: Vertex AI
a development team is configuring a gen AI model for a custimer-facing application and watns to
ensure the generated content is appropriate and harmless. what is the primary funtion of the safety
, settings parameter in a gen AI model - Answers C: to filter out potentially harmful or inappropriate
content from the model's output based on the desired level of filtering
the office of the CISO wants to use gen AI to help automate tasks like summarizing case information,
researching threats, and taking actions like creating detections rules. what agent should they use? -
Answers A: security agent
a pharmaceutical company's research and development department spends significant time manually
reviewing new scientific papers to identify potential drug targets. they need a solution that can
answer questions about these papers and provide summarized insights without requiring extensive
coding expertise. what should the organization do? - Answers D: use Vertex AI agent builder to create
a custom AI agent
a logistics company wants to use a gen AI agent to automatically check real time inventory levels
across its warehouses and adjust delivery schedules. the gen AI agent needs access to internal
inventory for data. they want the most cost-effective solution. what should they use? - Answers D:
use google cloud databases and Vertex AI for the agent to get live data
what is the characteristic of google cloud as a gen AI company? - Answers B: google cloud has an AI-
first focus that enables innovation, continuous updates, and broad integration across its platforms
an organization wants to use gen AI to create a chatbot that can answer customer questions about
their account balances. they need to ensure that the chatbot can access previous portions of the
conversation with the customer. which prompting technique should they use? - Answers D: prompt
chaining
a large ecommerce company with a vast and frequently updated product catalog finds that customers
struggle to find products on their websites and support agents spend too much time finding detailed
product information. the company wants to improve search accuracy and efficiency for both
customer and support. what google cloud solution should they use? - Answers C: pre-built RAG with
Vertex AI Search
what is an example of unsupervised learning? - Answers A: analyzing customer purchase patterns to
identify natural groupings
a company has a machine learning project that has diverse data types like streaming data and
structured databases. how does google cloud support data gathering in this project? - Answers A:
google cloud provides tools such as Pub/Sub, cloud storage, and Cloud SQL
a marketing team wants to use a foundation model to create social media and advertising campaigns.
they want to create written articles and images from text. they lack deep AI expertise and need a
versatile solution. which google foundation model should they use? - Answers C: Gemini
what is the definition of gen AI? - Answers B: A type of artificial intelligence that can create new
content and ideas, includiing text, images, music, and code
a large multinational corporation with geographically dispersed teams struggles with knowledge silos
and inconsistent access to critical internal information. what is a business benefit of using Google
Agentspace in this scenario? - Answers B: seamless knowledge sharing and collaboration across
internal systems
a financial institution uses gen AI to approve and reject loan applications but gives no reason for
rejection. customers are starting to file complaints. the company needs to implement a solution to
reduce the complaints. what should they do? - Answers B: implement explainable gen AI policies
an organization with a team of five customer service agents wants to improve agent efficiency and
customer satisfaction during support interations. they are looking for a tool that can provide real time
guidance to agents, suggest helpful information, and streamline the support provess without fully
automating customer conversations. which component of Google Customer Engagement Suite should
they use? - Answers A: agent assist
a company's LLM is producing hallucinations that are a result of the knowledge cutoff. how does
retrieval-augmented generation (RAG) overcome this limitation? - Answers C: RAG enables the LLM
to retrieve relevant and up to date information from knowledge sources
a human resources team is implementing a new gen AI application to assist the department in
screening a large volume of job applications. they want to ensure fairness and build trust with
potential candidates. what should the team prioritize? - Answers C: ensuring AI operates
transparently, especially regarding application evaluation and data usage
a company is developing a conversational AI chatbot. they need to ensure the chatbot can engage in
human-like conversations and provide accurate information. what should they do to enhance the
chatbot's ability to understand and respond effectively to user prompts? - Answers A: use prompt