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Question # 1
An organization wants to use generative AI to create a marketing campaign. They need to ensurethat the AI model generates text that is appropriate for the target audience. What should theorganization do?
A. Use role prompting.
B. Use prompt chaining.
C. Use few-shot prompting.
D. Adjust the temperature parameter.
Question # 2
What is an example of unsupervised machine learning?
A. Analyzing customer purchase patterns to identify natural groupings.
B. Training a system to recognize product images using labeled categories.
C. Predicting subscription renewal based on past renewal status data.
D. Forecasting sales figures using historical sales and marketing spend.
Question # 3
A software developer needs a highly efficient, open-source large language model that can be finetunedon a local machine for rapid prototyping of a chatbot application. They require a model thatoffers strong performance in natural language understanding and generation, while beinglightweight enough to run on limited hardware. Which Google-developed family of models shouldthey use?
A. Veo
B. Gemini
C. Gemma
D. Imagen
Question # 4
A research team has collected a large dataset of sensor readings from various industrial machines.This dataset includes measurements like temperature, pressure, vibration levels, and electrical current, recorded at regular intervals. The team has not yet assigned any labels or categories to thesereadings and wants to identify potential anomalies, malfunctions, or natural groupings of machinebehavior based on the sensor data alone. What type of machine learning should they use?
A. Reinforcement learning
B. Unsupervised learning
C. Deep learning
D. Supervised learning
Question # 5
An organization wants granular control over who can use and see their generative AI models andrelated resources on Google Cloud. Which Google Cloud security offering is specifically for thispurpose?
A. Identity and Access Management
B. Secure-by-design infrastructure
C. Security Command Center
D. Workload monitoring tools
Question # 6
A company wants to use an AI agent to automate some tasks. They want everyone to understand thedifferent 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 constanthuman input.
Question # 7
A development team is configuring a generative AI model for a customer-facing application andwants 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 complexityand length of inputs and outputs.
C. To filter out potentially harmful or inappropriate content from the model's output based on thedesired level of filtering.
D. To control the creativity and randomness of the model's output by adjusting the diversity of wordchoices.
Question # 8
A large e-commerce company with a substantial product catalog and many support documents hascustomers struggling to find information on their website. This leads to high support costs and pooruser experience. The company wants a Google Cloud solution to improve website search and reducesupport costs while improving customer satisfaction. What Google Cloud product should thecompany use?
A. Vertex AI Search
B. Vertex AI Platform
C. Google Shopping
D. Google Search
Question # 9
A highly regulated financial institution wants to use Gemini as the core decision engine for a loanapproval system that will deterministically approve or reject loan applications based on a strict set ofpredefined criteria. Why is this an inappropriate use case for Gemini?
A. Gemini cannot integrate with required financial databases.
B. Gemini is not equipped to handle structured numerical data for financial assessments.
C. Gemini is designed for flexible content generation and inference, not rigid rule-based decisions.
D. Gemini deployment for this scenario would be too expensive and complex.
Question # 10
An organization with a team of live customer service agents wants to improve agent efficiency andcustomer satisfaction during support interactions. They are looking for a tool that can provide realtimeguidance to agents, suggest helpful information, and streamline the support process withoutfully 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 as a Service
Question # 11
A social media platform uses a generative AI model to automatically generate summaries of usersubmittedposts to provide quick overviews for other users. While the summaries are generallyaccurate for factual posts, the model occasionally misinterprets sarcasm, satire, or nuanced opinions,leading to summaries that misrepresent the original intent and potentially cause misunderstandingsor offense among users. What should the platform do to overcome this limitation of the AIgeneratedsummaries?
A. Implement stricter safety settings to filter out potentially misinterpreted content altogether.
B. Increase the temperature parameter of the model to encourage more varied and less literalinterpretations.
C. Decrease the output length of the summaries to make them more concise.
D. Incorporate a human-in-the-loop (HITL) review process to refine the summaries.
Question # 12
A companys 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 forums connect developers with AIexperts.
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.
Question # 13
A company is developing a conversational AI chatbot. They need to ensure the chatbot can engage inhuman-like conversations and provide accurate information. What should they do to enhancethechatbot's ability to understand and respond effectively to user prompts?
A. Use prompt engineering techniques, like few-shot prompting, to provide the chatbot withexamples 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.
Question # 14
The office of the CISO wants to use generative AI (gen AI) to help automate tasks like summarizingcase information, researching threats, and taking actions like creating detection rules. What agentshould they use?
A. Security agent
B. Data agent
C. Code agent
D. Customer service agent
Question # 15
A large e-commerce company with a vast and frequently updated product catalog finds thatcustomers struggle to find products on their website, and support agents spend too much timefinding detailed product information. The company wants to improve search accuracy and efficiencyfor 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
