Table of Contents
In this article, we will explores fundamental concepts in generative AI and various Google Cloud solutions designed to address common business challenges with help of MCQ.
1. Automating Security Tasks with Generative AI
The office of the CISO wants to use generative AI (gen AI) to help automate tasks like summarizing case information, researching threats, and taking actions like creating detection rules. What agent should they use?
A. Customer service agent
B. Code agent
C. Data agent
D. Security agent
Answer: D. Security agent
2. Overcoming Limitations in AI-Generated Summaries
A social media platform uses a generative AI model to automatically generate summaries of user-submitted posts to provide quick overviews for other users. While the summaries are generally accurate for factual posts, the model occasionally misinterprets sarcasm, satire, or nuanced opinions, leading to summaries that misrepresent the original intent and potentially cause misunderstandings or offense among users. What should the platform do to overcome this limitation of the AI-generated summaries?
A. Decrease the output length of the summaries to make them more concise.
B. Incorporate a human-in-the-loop (HITL) review process to refine the summaries.
C. Implement stricter safety settings to filter out potentially misinterpreted content altogether.
D. Increase the temperature parameter of the model to encourage more varied and less literal interpretations.
Answer: B. Incorporate a human-in-the-loop (HITL) review process to refine the summaries.
3. Centralized Model Management on Google Cloud
A data science team needs a centralized and organized location to store its various model versions, track their metadata, and easily deploy them to the respective applications. What Google Cloud service should they use?
A. Model Registry
B. Vertex AI Pipelines.
C. BigQuery
D. Cloud Storage
Answer: A. Model Registry
4. Enhancing Website Search and Reducing Support Costs
A large e-commerce company with a substantial product catalog and many support documents has customers struggling to find information on their website. This leads to high support costs and poor user experience. The company wants a Google Cloud solution to improve website search and reduce support costs while improving customer satisfaction. What Google Cloud product should the company use?
A. Google Shopping
B. Vertex AI Platform
C. Google Search
D. Vertex AI Search
Answer: D. Vertex AI Search
5. Addressing Vendor Lock-in Concerns with Google Cloud
A company wants to adopt generative AI and is concerned about vendor lock-in. They want to maintain flexibility in their technology stack. What Google Cloud strength would ease their concerns?
A. Google Cloud’s AI solutions have an open approach that supports customer choice across offerings.
B. Google Cloud’s focus on automation aims to replace human jobs with AI systems, potentially leading to significant workforce reductions.
C. Google Cloud’s strict adherence to proprietary technologies ensures the highest level of security and performance.
D. Google Cloud’s AI solutions are pre-packaged for easy deployment, eliminating the need for customization and integration efforts.
Answer: A. Google Cloud’s AI solutions have an open approach that supports customer choice across offerings.
6. Google-Recommended Generative AI Strategy
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?
A. Rapid implementation strategy
B. Top-down strategy
C. Multi-directional strategy
D. Bottom-up strategy
Answer: B. Top-down strategy
7. Key Factor for Successful Generative AI Use Cases
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?
A. The specific business problems the company aims to solve and the desired outcomes.
B. The availability of pre-trained models that are offered on various cloud computing platforms.
C. The number of employees who will be trained to use the new gen AI tools.
D. The frequency of updates to the underlying foundation models used by different gen AI platforms.
Answer: A. The specific business problems the company aims to solve and the desired outcomes.
8. AI Solution for Research and Development
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 documents and provide summarized insights to researchers without requiring extensive coding expertise. What should the organization do?
A. Use Vertex AI AutoML to train a model that classifies papers into predefined research areas.
B. Use Gemini for Google Workspace to facilitate collaborative document review.
C. Use Vertex AI Search to index the papers and enable keyword-based searches.
D. Use Vertex AI Agent Builder to create a custom AI agent.
Answer: D. Use Vertex AI Agent Builder to create a custom AI agent.
9. Example of Unsupervised Machine Learning
What is an example of unsupervised machine learning?
A. Predicting subscription renewal based on past renewal status data.
B. Training a system to recognize product images using labeled categories.
C. Analyzing customer purchase patterns to identify natural groupings.
D. Forecasting sales figures using historical sales and marketing spend.
Answer: C. Analyzing customer purchase patterns to identify natural groupings.
10. Google’s Lightweight Open-Source LLM for Chatbots
A software developer needs a highly efficient, open-source large language model 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 Google-developed family of models should they use?
A. Imagen
B. Gemma
C. Gemini
D. Veo
Answer: B. Gemma
11. Overcoming LLM Hallucinations with RAG
A company’s large language model (LLM) is hallucinating information that is a result of the Knowledge Gap. How does Retrieval-Augmented Generation (RAG) overcome this limitation?
A. RAG fine-tunes the LLM on specific customer query patterns to improve the speed and accuracy of response generation.
B. RAG increases the creative writing capabilities of the LLM to generate more engaging and informative responses.
C. RAG enables the LLM to access and use up-to-date, external knowledge sources for accurate answers.
D. RAG uses human oversight to manually remove incorrect information from the LLM’s output.
Answer: A. RAG fine-tunes the LLM on specific customer query patterns to improve the speed and accuracy of response generation.
12. Primary Benefit of Google Cloud’s AI Agent
What is the primary benefit of Google Cloud’s AI agent?
A. Google Cloud’s AI agents are fully autonomous AI agents that can operate on an organization’s or individual’s command.
B. Google Cloud’s AI agents have human-like conversational interfaces and can handle complex tasks.
C. Google Cloud AI agents are programs designed to analyze and summarize user input, then respond with pre-programmed answers.
D. Google Cloud relies on proprietary, closed-source AI technologies for maximum security.
Answer: B. Google Cloud’s AI agents have human-like conversational interfaces and can handle complex tasks.
13. Machine Learning for Game AI Decisions
A company is developing a simulation for a video game. The AI needs to learn how to navigate a complex environment and make decisions to achieve certain objectives within the game. When the AI takes an action that leads to positive outcomes, the model’s reward is increased. When it takes an action that leads to negative outcomes, it receives a negative reward. What type of machine learning should they use?
A. Reinforcement learning
B. Unsupervised learning
C. Supervised learning
D. Deep learning
Answer: A. Reinforcement learning
14. Comprehensive Security Overview on Google Cloud
A security team needs a centralized solution to get a comprehensive overview of their organization’s overall health across their entire Google Cloud environment, including external threats to their generative AI deployments. Which Google Cloud offering is most suitable for the above?
A. Workload monitoring tools
B. Security Command Center
C. Identity and Access Management
D. Secret Manager
Answer: B. Security Command Center
15. AI for Personalized Academic Support
A company wants to build an AI-powered application that provides personalized academic support to students. The platform will assess a student’s knowledge, identify their weak areas, and generate customized exercises. This application will provide the structure to measure and track progress. What type of AI should they use?
A. A supervised learning model to classify student responses
B. A large language model to generate custom exercises
C. A learning management system (LMS)
D. A reinforcement learning agent
Answer: D. A reinforcement learning agent
16. Google Foundation Model for Creative Campaigns
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?
A. Gemma
B. Imagen
C. Gemini
D. Veo
Answer: C. Gemini
17. Addressing Lack of Explanation in AI Loan Approvals
A financial institution uses generative AI (gen AI) to approve and reject loan applications, but gives no reasons for rejection. Customers are starting to file complaints. The company needs to implement a solution to reduce the complaints. What should the company do?
A. Collect a larger and more diverse dataset for the gen AI model.
B. Implement explainable gen AI policies.
C. Fine-tune the gen AI model.
D. Develop fairness assessments for the gen AI model.
Answer: B. Implement explainable gen AI policies.
18. Accelerating Software Development with Generative AI
A software development team wants to use generative AI (gen AI) to code faster so they can launch their software prototype quicker. What should the team do?
A. Use gen AI to refactor and optimize existing code.
B. Use gen AI to suggest code snippets and complete functions.
C. Use gen AI to automatically generate comprehensive documentation for their code.
D. Use gen AI to identify potential bugs and security vulnerabilities in their code.
Answer: B. Use gen AI to suggest code snippets and complete functions.
19. Definition of Generative AI
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.
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 prediction model that estimates a relationship by fitting a line to the observed data.
Answer: B. A type of artificial intelligence that can create new content and ideas, including text, images, music, and code.
20. Google Cloud Offering for Generative AI Platform
A company wants a generative AI platform that provides the infrastructure, tools, and pre-trained models needed to build, deploy, and manage its generative AI solutions. Which Google Cloud offering should the company use?
A. BigQuery
B. Vertex AI
C. Google Kubernetes Engine (GKE)
D. Google Cloud Storage
Answer: B. Vertex AI
21. Google Cloud Solution for Summarizing Breaking News
A global news agency is developing a generative AI tool to quickly summarize breaking news articles as they emerge online. The goal is to provide their audience with rapid updates on fast-developing stories from various global sources. What Google Cloud solution should they use?
A. Document AI
B. BigQuery
C. Vertex AI Natural Language API
D. Grounding with Google Search
Answer: D. Grounding with Google Search
22. Improving E-commerce Search and Support Efficiency
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?
A. Vertex AI Conversation
B. Vertex AI Natural Language API
C. Pre-built RAG with Vertex AI Search
D. Vertex AI Model Garden
Answer: C. Pre-built RAG with Vertex AI Search
23. Enhancing Chatbot Understanding and Responsiveness
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?
A. Use prompt engineering techniques, like few-shot prompting, to provide the chatbot with examples of successful interactions.
B. Limit the chatbot’s training data to prevent it from learning irrelevant information.
C. Use strict keyword matching to ensure that the chatbot only responds to specific commands.
D. Lower model temperature setting to produce more consistent and predictable responses.
Answer: A. Use prompt engineering techniques, like few-shot prompting, to provide the chatbot with examples of successful interactions.
24. Google Cloud Benefit for AI Development with Limited Experience
A company’s development team is eager to start building generative AI solutions with Google Cloud, but has limited experience in AI development. They need to launch their gen AI solution quickly. What Google Cloud benefit would help the company achieve their goal?
A. Google Cloud’s pre-trained models and low- and no-code AI tools and services.
B. Google Cloud’s collaborative AI community and support forum to connect developers with AI experts.
C. Google Cloud’s comprehensive training materials and tutorials to help developers.
D. Google Cloud’s focus on continuous improvement provides access to the latest AI tools, features, and best practices.
Answer: A. Google Cloud’s pre-trained models and low- and no-code AI tools and services.
25. Google’s Customer Engagement Suite Component for Agent Guidance
An organization with a team of live customer service agents wants to improve agent efficiency and customer satisfaction during support interactions. They are looking for a tool that can provide real-time guidance to agents, suggest helpful information, and streamline the support process without fully automating customer conversations. Which component of Google’s Customer Engagement Suite should they use?
A. Agent Assist
B. Conversational Agents
C. Conversational Insights
D. Google Cloud Contact Center AI as a Service
Answer: A. Agent Assist
26. Inappropriate Use of Gemini for Loan Approvals
A highly regulated financial institution wants to use Gemini as the core decision engine for a loan approval system that will deterministically approve or reject loan applications based on a strict set of predefined criteria. Why is this an inappropriate use case for Gemini?
A. Why is this an inappropriate use case for Gemini?
B. Gemini cannot integrate with required financial databases.
C. Gemini is not equipped to handle structured numerical data for financial assessments.
D. Gemini is designed for flexible content generation and inference, not rigid rule-based decisions.
E. Gemini deployment for this scenario would be too expensive and complex.
Answer: C. Gemini is not equipped to handle structured numerical data for financial assessments.
27. Primary Function of Safety Settings in Generative AI
A development team is configuring a generative AI model for a customer-facing application and wants to ensure the generated content is appropriate and harmless. What is the primary function of the safety settings parameter in a generative AI model?
A. To limit the maximum text length that the model generates by ensuring concise responses.
B. To determine the number of tokens the model can process at once by influencing the complexity and length of inputs and outputs.
C. To filter out potentially harmful or inappropriate content from the model’s output based on the desired level of filtering.
D. To control the creativity and randomness of the model’s output by adjusting the diversity of word choices.
Answer: C. To filter out potentially harmful or inappropriate content from the model’s output based on the desired level of filtering.
28. Function of an AI Agent in Generative AI
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.
Answer: D. To analyze situations, use multiple tools, and make informed decisions without requiring constant human input.
29. Primary Benefit of Google Cloud’s RAG APIs for Internal Chatbot
A development team is building an internal knowledge base chatbot to answer employee questions about company policies and procedures. This information is stored across various documents in Google Cloud Storage and is updated regularly by different departments. What is the primary benefit of using Google Cloud’s RAG APIs in this scenario?
A. They automatically create summaries of all company policies, which are then presented to employees as quick answers.
B. They provide a pre-built user interface for the chatbot, simplifying the front-end development process.
C. They enable the generative AI model to retrieve the most up-to-date and relevant information from the policy documents in real-time.
D. They allow the development team to train a single foundation model on all company documents.
Answer: C. They enable the generative AI model to retrieve the most up-to-date and relevant information from the policy documents in real-time.
30. Google Foundation Model for Customer Feedback Summarization
An organization needs an AI tool to analyze and summarize lengthy customer feedback text transcripts. You need to choose a Google foundation model with a large context window. What foundation model should the organization choose?
A. CodeGemma
B. Gemini
C. Chiro
D. Imagen
Answer: B. Gemini
31. Granular Control over Generative AI Resources on Google Cloud
An organization wants granular control over who can use and see their generative AI models and related resources on Google Cloud. Which Google Cloud security offering is specifically for this purpose?
A. Identity and Access Management
B. Security Command Center
C. Security by design infrastructure
D. Workload monitoring tools
Answer: A. Identity and Access Management
32. Business Benefit of Multimodal Search in E-commerce
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?
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.
Answer: A. Improved customer engagement and product discovery leading to increased satisfaction and potential sales.
33. Primary Benefit of Using a Multi-Agent System
What is a primary benefit of using a multi-agent system?
A. To simplify the most basic and repetitive rule-based tasks.
B. To consolidate all unique AI functions into a single, undifferentiated model.
C. To serve as a platform for hosting traditional, non-AI applications.
D. To manage complex tasks that demand coordinated AI functions.
Answer: D. To manage complex tasks that demand coordinated AI functions.
34. Machine Learning Type for Uncovering Hidden Patterns in Consumer Data
A research team is studying how human emotion impacts purchasing decisions. They’ve collected a large dataset of customer interactions, including purchase history, Browse patterns, and sentiment analysis from product reviews. The team wants to uncover hidden patterns or groupings in these raw, unlabeled consumer data to identify new customer segments. What type of machine learning should they use?
A. Reinforcement learning
B. Unsupervised learning
C. Supervised learning
D. Transfer learning
Answer: B. Unsupervised learning
35. Cost-Effective Solution for AI Agent Accessing Inventory Data
A logistics company wants to use a generative AI (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 data. They want the most cost-effective solution. What should the organization do?
A. Build a custom API instead of using the gen AI agent.
B. Use pre-built gen AI solutions for inventory questions.
C. Use Vertex AI Studio to fine-tune a model with sample inventory data.
D. Use Google Cloud databases and Vertex AI for the agent to get live data.
Answer: D. Use Google Cloud databases and Vertex AI for the agent to get live data.
36. What Does Vertex AI Search Enable Companies to Do?
What does Vertex AI Search enable companies to do?
A. To index and retrieve information from the entire public web, providing a comprehensive view of publicly available data.
B. To surface the most popular and frequently accessed content based on global user search patterns and trends.
C. To compare products from numerous online retailers, allowing users to find the best deals and product opinions across the internet.
D. To ground LLM responses with first-party data, third-party data, and Google’s knowledge graph.
Answer: D. To ground LLM responses with first-party data, third-party data, and Google’s knowledge graph.
37. Ensuring Chatbot Uses Official Documentation for Answers
A company wants to use generative AI to create a chatbot that can answer customer questions about their products and services. They need to ensure that the chatbot only uses information from the company’s official documentation. What should the company do?
A. Use role prompting.
B. Adjust the temperature parameter.
C. Use prompt chaining.
D. Use grounding.
Answer: D. Use grounding.
38. How Google Cloud’s Agent Assist Helps Companies
What will Google Cloud’s Agent Assist help a company achieve?
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.
Answer: C. The ability to provide real-time assistance and recommended responses to live customer service agents during their interactions.
