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Question 1

What is the definition of generative AI?

A. A type of predictive model that estimates a relationship by fitting a line to the observed data.
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 artificial intelligence that enables a system to autonomously learn and improve using neural networks and deep learning.

Answer 1

Correct Answer: B

Question 2

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 2

Correct Answer: D

Question 3

What is the definition of 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.

Answer 3

Correct Answer: A

Question 4

A company is developing an AI character for a video game. The AI 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. When it takes actions that lead to negative outcomes, like hitting a wall or losing progress, it receives a negative 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?

A. Unsupervised learning
B. Reinforcement learning
C. Supervised learning
D. Deep learning

Answer 4

Correct Answer: B

Question 5

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 these readings and wants to identify potential anomalies, malfunctions or natural groupings of machine behavior based on the sensor data alone. What type of machine learning should they use?

A. Deep learning
B. Reinforcement learning
C. Supervised learning
D. Unsupervised learning

Answer 5

Correct Answer: D

Question 6

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. Gemini deployment for this scenario would be too expensive and complex.
B. Gemini’s designed for flexible content generation and inference, not rigid rule-based decisions.
C. Gemini is not equipped to handle structured numerical data for financial assessments.
D. Gemini cannot integrate with required financial databases.

Answer 6

Correct Answer: B

Question 7

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 7

Correct Answer: C

Question 8

A user asks a generative AI model about the scientific accuracy of a popular science fiction movie. The model confidently states that humans can indeed travel faster than light, referencing specific but entirely fictional theories and providing made-up explanations of how this is achieved according to the movie’s “established science.” The model presents this information as factual, without indicating that it originates from a fictional work. What type of model limitation is this?

A. Bias
B. Hallucination
C. Knowledge cutoff
D. Data dependency

Answer 8

Correct Answer: B

Question 9

A home loan company is deploying a generative AI system to automate initial loan application reviews. Several applicants have been unexpectedly rejected, leading to customer complaints and potential bias concerns. They need to ensure responsible and fair lending practices. What aspect of the AI system should they prioritize?

AImplementing stricter data security measures to protect applicants’ financial information from unauthorized access.
BEnsuring AI decision-making is explainable to understand decision reasons and establish accountability.
CIncreasing the speed at which the AI system processes loan applications to handle the high volume.
DRegularly updating the AI model with more financial data to improve its accuracy over time.

Answer 9

Correct Answer: B

Question 10

A company is exploring Google Agentspace to improve how its employees search for information on their enterprise systems and automate certain tasks. What is the key business advantage of using Agentspace?

AEnhanced real-time communication and collaboration among team members.
BGreater interoperability with legacy software systems and databases.
CImproved productivity and data interaction using AI assistants and advanced document analysis.
DMore granular control over support team access and permissions for sensitive data.

Answer 10

Correct Answer: C

Question 11

An organization is collecting data to train a generative AI model for customer service. They want to ensure security throughout the ML lifecycle. What is a critical consideration at this stage?

AImplementing access controls and protecting sensitive information within the training data.
BApplying the latest software patches to the AI model on a regular basis.
CEstablishing ethical guidelines for AI model responses to ensure fairness and avoid harm.
DMonitoring the AI model’s performance for unexpected outputs and potential errors.

Answer 11

Correct Answer: A

Question 12

What are core hardware components of the infrastructure layer in the generative AI landscape?

ATPUs and GPUs
BUser interfaces
CPre-trained models
DTools and services for building AI models

Answer 12

Correct Answer: A

Question 13

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?

AImplement stricter safety settings to filter out potentially misinterpreted content altogether.
BIncrease the temperature parameter of the model to encourage more varied and less literal interpretations.
CDecrease the output length of the summaries to make them more concise.
DIncorporate a human-in-the-loop (HITL) review process to refine the summaries.

Answer 13

Correct Answer: D

Question 14

1. A company wants to create an Al-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 Al solution should they use?

A. An Al-powered recommendation system for learning resources
B. A large language model fine-tuned on educational content
C A learning management system (LMS)
D. A customized learning agent

Answer 14

D

Question 15

2. What is the definition of generative Al?

A. A type of artificial intelligence that enables a system to autonomously learn and improve using
neural networks and deep learning.4
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 predictive model that estimates a relationship by fitting a line to the observed data.

Answer 15

B

Question 16

3. An organization needs an Al 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. Gemini
B. CodeGemma
C. Imagen
D. Chirp

Answer 16

A

Question 17

4. 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.

Answer 17

A

Question 18

5. A logistics company wants to use a generative Al (gen Al) agent to automatically check real-
   time inventory levels across its warehouses and adjust delivery schedules. The gen Al 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 Al agent.
B. Use pre-built gen Al chatbots for inventory questions.
C. Use Vertex Al Studio to fine-tune a model with sample inventory data.
D. Use Google Cloud databases and Vertex Al for the agent to get live data.

Answer 18

D

Question 18

6. A social media platform uses a generative Al 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 Al-generated summaries?

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 literal
interpretations.
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.

Answer 18

D

Question 19

7. A company is exploring Google Agentspace to improve how its employees search for
   information on their enterprise systems and automate certain tasks. What is the key business
   advantage of using Agentspace?

A. Enhanced real-time communication and collaboration among team members.
B. Greater interoperability with legacy software systems and databases.
C. Improved productivity and data interaction using Al assistants and advanced document analysis.
D. More granular control over support team access and permissions for sensitive data.

Answer 19

C

Question 20

8. A company has a machine learning project that involves diverse data types like streaming data
   and structured databases. How does Google Cloud support data gathering for this project?

A. Google Cloud provides tools such as Pub/Sub, Cloud Storage, and Cloud SQL.
B. The Gemini app is the primary Google Cloud tool for directly collecting data.
C. Google Cloud’s strengths are in the data analysis tools such as BigQuery.
D. Google Cloud relies on Vertex Al to connect to external data.

Answer 20

A

Question 21

9. An organization wants to use generative Al 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?

A. Use zero-shot prompting.
B. Use role prompting.
C. Use few-shot prompting.
D. Use prompt chaining.

Answer 21

D

Question 21

10. 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 as a Service

Answer 21

A

Question 22

11. A global news agency is developing a generative Al 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 Al
B. BigQuery
C. Vertex Al Natural Language API
D. Grounding with Google Search

Answer 22

D

Question 23

12. 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 23

A

Question 24

13. A software development team wants to use generative Al (gen Al) to code faster so they can launch their software prototype quicker. What should the team do? A. Use gen Al to refactor and optimize existing code. B. Use gen Al to suggest code snippets and complete functions. C. Use gen Al to automatically generate comprehensive documentation for their code. D. Use gen Al to identify potential bugs and security vulnerabilities in their code.

Answer 24

B

Question 25

14. 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 Al functions into a single, undifferentiated model. C. To serve as a platform for hosting traditional, non-Al applications. D. To manage complex tasks that demand coordinated Al functions.

Answer 25

D

Question 26

15. 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 errors. This causes delays in loan processing and impacts customer satisfaction. The company wants to automate the extraction of this critical data to improve efficiency and accuracy. Which Google Cloud tool should they use? A. Natural Language API B. Dataflow C. Vision Al D. Document AI API

Answer 26

D

Question 27

16. A large multinational corporation with geographically dispersed teams struggles with knowledge silos and inconsistent access to crucial internal information. What is a key business benefit of using Google Agentspace in this scenario? A. Improved IT infrastructure management across offices. B. Seamless knowledge sharing and collaboration across internal systems. C. Enhanced data encryption and compliance for internal communications. D. Automation of employee performance reviews using Al.

Answer 27

B

Question 28

17. 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 these readings and wants to identify potential anomalies, malfunctions, or natural groupings of machine behavior 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

Answer 28

B

Question 29

18. A company wants to use generative Al 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 29

D

Question 30

19. 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 30

C

Question 31

20. 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 Al expertise and need a versatile solution. Which Google foundation model should they use? A. Gemma B. Imagen C. Gemini D. Veo

Answer 31

C

Question 32

21. A financial institution uses generative Al (gen Al) 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 Al model. B. Implement explainable gen Al policies. C. Fine - tune the gen Al model. D. Develop fairness assessments for the gen Al model.

Answer 32

B

Question 33

22. A company wants a generative Al platform that provides the infrastructure, tools, and pre- trained models needed to build, deploy, and manage its generative Al solutions. Which Google Cloud offering should the company use? A. BigQuery B. Vertex Al C. Google Kubernetes Engine (GKE) D. Google Cloud Storage

Answer 33

B

Question 33

23. 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. Veo B. Gemini C. Gemma D. Imagen

Answer 33

C

Question 34

24. The office of the CISO wants to use generative Al (gen Al) to help automate tasks like summarizing case information, researching threats, and taking actions like creating detection rules. What agent should they use? A. Security agent B. Data agent C. Code agent D Cuctomer cervice agent

Answer 34

A

Question 35

25. 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 Al Conversation B. Vertex Al Natural Language API C. Pre-built RAG with Vertex Al Search D. Vertex Al Model Garden

Answer 35

C

Question 36

26. 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. 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.

Answer 36

C

Question 37

27. 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 provide a pre-built user interface for the chatbot, simplifying the front-end development process. B. They allow the development team to train a single foundation model on all company documents. C. They enable the generative Al model to retrieve the most up-to-date and relevant information from the policy documents in real-time. D. They automatically create summaries of all company policies, which are then presented to employees as quick answers.

Answer 37

C

Question 38

28. A company is developing an Al character for a video game. The Al character needs to learn how to navigate a complex environment and make decisions to achieve certain objectives within the game. When the Al takes actions that lead to positive outcomes, like finding a reward or overcoming an obstacle, it receives a positive score. When it takes actions that lead to negative outcomes, like hitting a wall or losing progress, it receives a negative score. Through this process of trial and error, the Al gradually improves the character's ability to play the game effectively. What machine learning should the company use? A. Reinforcement learning B. Unsupervised learning C. Supervised learning D. Deep learning

Answer 38

A

Question 39

29. A security team needs a centralized platform to gain a comprehensive overview of their organization's security health across their entire Google Cloud environment, including potential threats to their generative Al deployments. Which Google Cloud security offering is specifically for this purpose? A. Workload monitoring tools B. Security Command Center C. Identity and Access Management D. Secure-by-design infrastructure

Answer 39

B

Question 40

30. A company is developing a conversational Al chatbot. They need to ensure the chatbot can engage in human-like conversations and provide accurate information. What should they do to enhance thechatbot'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 40

A

Question 41

31. What is a characteristic of Google Cloud as a generative Al company? A. Google Cloud provides fully autonomous Al agents that require zero configuration or management overhead. B. Google Cloud has an Al-first focus that enables innovation, with continuous updates and broad integration across its platform. C. Google Cloud ensures that all generative Al models and data are completely secured and isolated from external networks. D. Google Cloud relies on proprietary, closed-source Al technologies for maximum security benefits.

Answer 41

B

Question 42

32. A company is defining their generative Al strategy. They want to follow Google-recommended practices to increase their chances of success. Which strategy should they use? A. Rapid implementation strategy B. Bottom-up strategy C. Multi-directional strategy D. Top-down strategy

Answer 42

D

Question 43

33. A financial institution uses generative Al (gen Al) 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 Al model. B. Implement explainable gen Al policies. C. Fine-tune the gen Al model. D. Develop fairness assessments for the gen Al model.

Answer 43

B

Question 44

34. An organization wants granular control over who can use and see their generative Al models and related resources on Google Cloud. Which Google Cloud security offering is specifically for this purpose? A. Identity and Access Management B. Secure-by-design infrastructure C. Security Command Center D. Workload monitoring tools

Answer 44

A

Question 44

35. What does Vertex Al 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 options across the internet. D. To ground LLM responses with first-party data, third-party data, and Google's knowledge graph.

Answer 44

D

Question 45

36. A company's large learning model (LLM) is producing hallucinations that are a result of the Knowledge cutoff. 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 efficiency of response generation. B. RAG enhances the creative writing capabilities of the LLM to generate more engaging and informative responses. C. RAG enables the LLM to retrieve relevant and up-to-date information from knowledge sources. D. RAG uses human oversight to ensure accuracy before presenting information to the customer.

Answer 45

C

Question 46

37. 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 Gemini for Google Workspace to facilitate collaborative document review. B. Use Vertex Al Search to index the papers and enable keyword-based searches. C. Use Vertex Al AutoML to train a model that classifies papers into predefined research areas. D. Use Vertex Al Agent Builder to create a custom Al agent.

Answer 46

D

Question 47

What is a characteristic of Google Cloud as a generative AI company? A. Google Cloud relies on proprietary, closed-source AI technologies for maximum security benefits. B. Google Cloud has an AI-first focus that enables innovation, with continuous updates and broad integration across its platform. C. Google Cloud ensures that all generative AI models and data are completely secured and isolated from external networks. D. Google Cloud provides fully autonomous AI agents that require zero configuration or management overhead.

Answer 47

B

Question 48

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 availability of pre-trained models that are offered on various cloud computing platforms. B. The frequency of updates to the underlying foundation models used by different gen AI platforms. C. The specific business problems the company aims to solve and the desired outcomes. D. The number of employees who will be trained to use the new gen AI tools.

Answer 48

C

Question 49

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 number of employees who will be trained to use the new gen AI tools. B. The availability of pre-trained models that are offered on various cloud computing platforms. C. The frequency of updates to the underlying foundation models used by different gen AI platforms. D. The specific business problems the company aims to solve and the desired outcomes.

Answer 49

D

Question 50

According to Google-recommended practices, when should generative AI be used to automate tasks? Options: A. When tasks are highly creative and require original thought. B. When tasks involve sensitive information or require human oversight C. When tasks are repetitive and rule-based. D. When tasks are complex and require strategic decision-making.

Answer 50

C

Question 50

A company is using a language model to solve complex customer service inquiries. For a particular issue, the prompt includes the following instructions: "To address this customer's problem, we should first identify the core issue they are experiencing. Then, we need to check if there are any known solutions or workarounds in our knowledge base. If a solution exists, we should clearly explain it to the customer. If not, we might need to escalate the issue to a specialist. Following these steps will help us provide a comprehensive and helpful response. Now, given the customer's message: 'My order hasn't arrived, and the tracking number shows no updates for a week,' what should be the next step in resolving this?" What type of prompting is this? Options: A. Zero-shot B. Few-shot C. Role-based D. Chain-of-thought

Answer 50

D

Question 51

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 AI tool that can process these documents and provide summarized insights directly from the source material with citations. What should the analyst do? Options: A. Create a custom Gem in Gemini Advanced with predefined KPIs to look across different financial reports. B. Use the Gemini app to ask general financial trend questions. C. Use NotebookLM to upload and analyze the documents. D. Use Gemini for Google Workspace within Google Docs to copy and paste sections of the reports for summary and analysis.

Answer 51

C

Question 51

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? Options: A. Use Gemini for Google Workspace to facilitate collaborative document review. B. Use Vertex AI Search to index the papers and enable keyword-based searches. C. Use Vertex AI AutoML to train a model that classifies papers into predefined research areas. D. Use Vertex AI Agent Builder to create a custom AI agent.

Answer 51

D

Question 52

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? Options: A. Google Cloud Contact Center as a Service B. Agent Assist C. Conversational Agents D. Conversational Insights

Answer 52

D

Question 52

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? Options: A. Generate the video frames with Imagen. B. Prompt the Gemini app to create a video. C. Train a model with Vertex AI and produce a video. D. Create a video with Google Vids.

Answer 52

D

Question 53

What is a key advantage of using Google's custom-designed TPUs? Options: A. TPUs are lightweight processors intended for deployment on edge devices. B. TPUs increase the storage capacity and data retrieval speeds within Google Cloud data centers. C. TPUs are specialized AI 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.

Answer 53

C

Question 54

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? Options: A. Build a custom API instead of using the gen AI agent. B. Use pre-built gen AI chatbots 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 54

D

Question 55

A company collects customer feedback through open-ended survey questions where customers can write detailed responses in their own words, such as "The product was easy to use, and the customer support was excellent, but the delivery took longer than expected." What type of data is this? Options: A. Unstructured data B. Structured data C. Labeled data D. Quantitative data

Answer 55

A