- An organization is collecting data to train a generative Al model for customer service. They
want to ensure security throughout the ML lifecycle. What is a critical consideration at this stage?
A. Applying the latest software patches to the Al model on a regular basis.
B. Monitoring the Al model’s performance for unexpected outputs and potential errors.
C. Establishing ethical guidelines for Al model responses to ensure fairness and avoid harm.
D. Implementing access controls and protecting sensitive information within the training data.
D
- A finance team wants to use Gemma to help with daily tasks so that the financial analysts can
focus on other work Which business problem can Gemma most efficiently address?
A. The struggle to accurately extract key financial figures and insights from a variety of document
formats, such as balance sheets and income statements, for quick reporting.
B. The complexity of building and deploying sophisticated internal knowledge bases to answer
employees’ finance-related questions with accurate and up-to-date information.
C. The difficulty in analyzing large datasets of financial transactions and market data to identify
anomalies and predict future financial performance.
D. The challenge of efficiently producing high-quality written summaries and initial drafts of
financial communications.
D
- What is a key advantage of using Google’s custom-designed TPUs?
A. TPUs increase the storage capacity and data retrieval speeds within Google Cloud data
centers.
B. TPUs are lightweight processors intended for deployment on edge devices.
C. TPUs are specialized Al 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.
C
- A company is trying to decide which platform to use to optimize its generative Al (gen Al)
solutions. Why should the company use Vertex Al Platform?
A. It provides gen Al coding assistance with enterprise security and privacy protection.
B. It provides a mechanism for efficient analysis and exploration of large datasets used in machine
learning.
C. It provides a unified platform of tools for building, deploying, and managing machine learning.
D. It provides scalable and cost-effective object storage for data used in machine learning
workflows.
C
- What does Model Garden enable a company to do?
A. Train new models from scratch using large datasets.
B. Evaluate the performance of different models using various metrics.
C. Discover, customize, and deploy existing models from Google and its partners.
D. Manage different versions of a model including the code, data, and parameters used to train it.
C
- An organization wants to understand trends in customer interactions, identify common issues,
gauge customer sentiment, and improve the overall customer experience across both their
automated chatbot interactions and live agent support. They need a tool that can analyze their
existing conversational data to gain actionable business intelligence. What component of Google’s
Customer Engagement Suite best addresses this need?
A. Agent Assist
B. Google Cloud Contact Center as a Service
C. Conversational Agents
D. Conversational Insights
D
- A customer service team wants to use generative Al to improve the quality and consistency of
their email responses to customer inquiries. They need a solution that can guide the Al to adopt a
helpful, empathetic tone while adhering to company policies. Which prompting technique should
they use?
A. Role prompting that instructs the Al to act as an experienced customer service representative
with corporate knowledge.
B. Few-shot prompting that provides examples of good and bad customer service emails.
C. Prompt chaining that engages the Al in a conversation to gather the necessary information
before generating the email response.
D. One-shot prompting that provides a single example of a good customer service email.
A
- What does a diffusion model do?
A. Generates high-quality content by refining noise into structured data.
B. Facilitates the storage and management of structured data.
C. Analyzes data and predicts future trends and patterns.
D. Optimizes business processes and resource allocation.
A
- 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 Al tool that can process these documents and provide
summarized insights directly from the source material with citations. What should the analyst do?
A. Use NotebookLM to upload and analyze the documents.
B. Create a custom Gem in Gemini Advanced with predefined KPIs to look across different
financial reports.
C. Use Gemini for Google Workspace within Google Docs to copy and paste sections of the
reports for summary and analysis.
D. Use the Gemini app to ask general financial trend questions.
A
- 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?
A. Reinforcement learning
B. Deep learning
C. Unsupervised learning
D. Supervised learning
D
- A learning and development team wants to quickly create a new hire training video with a
custom avatar and voiceover that matches their company’s branding and key messaging. They did
not receive any money to spend on the production. What should they do?
A. Generate the video frames with Imagen.
B. Create a video with Google Vids.
C. Train a model with Vertex Al and produce a video.
D. Prompt the Gemini app to create a video.
B
- A mobile app allows users to upload a photo of their living room and see different Al-
generated interior design styles applied to it in real-time. In the generative Al landscape, what
does this mobile app represent?
A. Platform
B. Application
C. Model
D. Infrastructure
B
- A company trains a generative Al model designed to classify customer feedback as positive,
negative, or neutral. However, the training dataset disproportionately includes feedback from a
specific demographic and uses outdated language norms that don’t reflect current customer
communication styles. When the model is deployed, it shows a strong bias in its sentiment analysis
for new customer feedback, misclassifying reviews from underrepresented demographics and
struggling to understand current slang or phrasing. What type of model limitation is this?
A. Edge case
B. Data dependency
C. Hallucination
D. Overfitting
B
- A financial institution wants to use generative Al for sensitive data analysis and customer
interactions. Their main priority is robust data privacy, strict security protocols, and the ability to
handle changing workloads reliably. Which aspect of Google Cloud’s Al platform best addresses
these needs?
A. Its enterprise-grade features like security, privacy, and scalability
B. Its variety of pre-trained models
C. Its commitment to open-source contributions
D. Its low-code/no-code development tools
A
- A research team wants an Al assistant to help analyze a collection of complex PDFs and
internal documents. They need to ask questions, get summaries, and generate new ideas - but only
based on information within these documents. Which Google Cloud tool is specifically designed
for this type of grounded reasoning over user-uploaded documents?
A. Google Search (public web)
B. Gemini for Google Workspace
C. Vertex Al Model Garden
D. NotebookLM
D
A company is embarking on a machine learning project that necessitates ingesting and processing both real-time streaming data and data residing in structured databases. Which of the following Google Cloud services would best support the data gathering requirements for this project?
A.
Google Cloud’s strengths are in the data analysis tools such as BigQuery.
B.
The Gemini app is the primary Google Cloud tool for directly collecting data.
C.
Google Cloud relies on Vertex AI to connect to external data.
D.
Google Cloud provides tools such as Pub/Sub, Cloud Storage, and Cloud SQL.
D
What is the key advantage of employing a multi-agent system architecture in AI development?
A.
To manage complex tasks that demand coordinated AI functions.
B.
To serve as a platform for hosting traditional, non-AI applications.
C.
To simplify the most basic and repetitive rule-based tasks.
D.
To consolidate all unique AI functions into a single, undifferentiated model.
A
A company is formulating its generative AI strategy and seeks to align with Google-recommended practices for increased success. Which strategic approach should they adopt?
A.
Bottom-up strategy
B.
Rapid implementation strategy
C.
Top-down strategy
D.
Multi-directional strategy
C
A company is exploring the use of AI agents to automate certain tasks. To ensure everyone understands the technology, they need a clear definition of an AI agent’s function within the context of generative AI. What best describes the primary function of an AI agent in this scenario?
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.
D
The office of the CISO wants to leverage generative AI to automate tasks such as summarizing case information, researching potential threats, and taking proactive measures like creating detection rules. Which type of agent would be most suitable for this purpose?
A.
Data agent
B.
Security agent
C.
Customer service agent
D.
Code agent
B
An organization wants to build a generative AI chatbot to answer customer questions about account balances. The chatbot must remember previous conversation turns with the customer to provide accurate and contextually relevant answers. Which prompting technique best facilitates this?
A.
Use prompt chaining.
B.
Use zero-shot prompting.
C.
Use role prompting.
D.
Use few-shot prompting.
A
A retail company with a vast online catalog aims to enhance customer experience and boost sales by implementing multimodal search capabilities (image, voice, and text). What is the MOST significant business advantage of this implementation?
A.
Reduced dependency on keyword optimization for product listings and improved search engine rankings.
B.
Streamlined inventory management processes and more accurate demand forecasting for popular items.
C.
Lowered operational costs associated with managing and updating product information across different platforms and channels.
D.
Improved customer engagement and product discovery leading to increased satisfaction and potential sales.
D
Which of the following best defines an AI agent?
A.
An application that learns how to achieve a goal based on inputs and tools available to it.
B.
A human expert who oversees and manages the operation of a gen AI application.
C.
A type of user interface that allows users to interact with a gen AI application.
D.
A static component of a gen AI application that provides information to the user.
A
A financial services company is grappling with a surge in loan applications, which arrive daily as scanned documents and PDFs with inconsistent layouts. The current manual data extraction process is slow, error-prone, and negatively impacts loan processing times and customer satisfaction. To streamline operations and enhance accuracy, the company seeks to automate the extraction of critical loan application data. Which Google Cloud tool is MOST suitable for this task?
A.
Document AI API
B.
Natural Language API
C.
Vision AI
D.
Dataflow
A
