1
Q
- A development team is configuring a generative Al 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 Al 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.
A
C
2
Q
- A human resources department deploys a generative Al (gen Al) model to screen job
applications and provide a shortlist of candidates to recruiters. Recruiters notice that some
seemingly qualified candidates are consistently being overlooked, but the Al provides no
explanation for its rankings or exclusions. The company needs to address this lack of transparency.
What should they do?
A. Collect a larger and more diverse dataset for the gen Al model.
B. Fine-tune the gen Al model.
C. Implement explainable gen Al policies.
D. Develop fairness assessments for the gen Al model.
A
C
3
Q
- A company is evaluating the use of large language models (LLMs) to enhance its operations and
customer interactions. What is a primary characteristic of LLMs?
A. LLMs excel in highly specific technical tasks requiring deep, singular domain expertise.
B. LLMs learn and generalize effectively from small datasets for niche applications.
C. LLMs have strong inherent logical reasoning and problem-solving abilities without extra
prompting.
D. LLMs are trained on vast datasets, enabling broad language and context understanding, and
adaptability across many tasks.
A
D
4
Q
- A software company’s Al chatbot struggles to answer customer questions about recently
released features because this information is not in its original training data. Customers are getting
inaccurate answers, increasing support agent workload. The company wants the chatbot to use the
atest product documentation to give accurate, up-to-date responses without retraining the entire
model. Which technique should they use?
A. Fine-tuning
B. Prompt engineering
C. Retrieval-augmented generation (RAG)
D. Human-in-the-loop (HITL)
A
C
5
Q
- An advertising agency needs to quickly generate many photorealistic images from text for
client campaigns because traditional photoshoots are slow and costly. They want to rapidly create
high-quality visuals from text and reduce expenses. Which Google foundation model should they
use?
A. Gemini
B. Gemma
C. Veo
D. Imagen
A
D
6
Q
- An Al robot learns optimal package delivery routes in a city. It receives positive scores for fast,
successful deliveries and negative scores for delays or failures. Through this feedback, the robot
improves its navigation over time. What type of machine learning is being used to train the robot?
A. Supervised learning
B. Deep learning
C. Unsupervised learning
D. Reinforcement learning
A
D
7
Q
- A company wants to use generative Al (gen Al) to automate complex workflows and improve
decision-making across its various departments. They are considering implementing Al agents as a
key component of their strategy. What is the primary function of an Al agent in a gen Al system?
A. To provide the computing power for training and running advanced Al models.
B. To be the user interface for interacting with Al models.
C. To be a smart system that can analyze, use tools, and make decisions to reach goals.
D. To be a central storage place for the data that Al models use.
A
C
8
Q
- A company is planning to integrate generative Al into its operations but is wary of becoming
dependent on a single technology provider. They prioritize the ability to choose and integrate
different Al tools and platforms as their needs evolve. Which inherent characteristic of Google
Cloud would address this concern?
A. Google Cloud’s emphasis on an open approach within its Al offerings.
B. Google Cloud’s commitment to tightly integrated, proprietary Al solutions.
C. Google Cloud’s strategy prioritizing fully managed Al services that simplify the user experience.
D. Google Cloud’s primary focus on automating Al workflows.
A
A
8
Q
- A consulting research team needs to analyze multiple lengthy reports and documents to find
key trends and make client recommendations. They require a method to quickly understand each
document’s core findings, link information across sources, and efficiently organize insights for their
report. Manual methods are too slow and complex. Which Google Cloud offering should they use?
A. NotebookLM
B. Gemini app
C. Vertex Al Search
D. Gemini for Google Workspace
A
A
9
Q
- What is reinforcement learning?
A. Learning from labeled data with correct output pairs.
B. Learning by identifying patterns in unlabeled data.
C. Learning through interaction and feedback.
D. Learning by training on vast data to generate new content.
A
C
9
Q
- A grocery store chain has data in several internal systems like sales, inventory, and marketing.
Employees waste time searching these systems for information on product performance, stock, and
campaign effectiveness. They need a central way to easily access and understand data across
these systems for better decisions and efficiency. Which Google Cloud offering should they use?
A. Gemini for Google Workspace
B. Google Agentspace
C. Vertex Al Search
D. Conversational Agents
A
C
10
Q
- A tech company has separate teams using different tools for their machine learning projects,
causing duplicated work and scaling issues. They need a central platform to manage all their Al
development, deployment, and monitoring efficiently. Which Google Cloud offering should they
use?
A. Cloud Functions
B. Vertex Al
C. Google Agentspace
D. BigQuery
A
B
11
Q
- A sales team wants to create dynamic and personalized video pitches for potential clients. They
receive client information in various formats and need an Al model that can transform this
information into engaging video content tailored to each client’s specific needs and challenges.
Which Google model should they use?
A. Gemma
B. Gemini
C. Imagen
D. Veo
A
D
12
Q
- A business analyst asks a generative Al model about the quarterly revenue of a small startup
that recently entered the market. The model confidently provides a specific revenue figure and
even mentions a supposed press release detailing the company’s success. However, after further
investigation, the analyst discovers that the startup has not yet released any financial reports, and
no such press release exists. The information provided by the Al model is entirely fabricated
despite sounding plausible. Which type of large language model limitation does this exemplify?
A. Bias
B. Knowledge cutoff
C. Data dependency
D. Hallucinations
A
D
12
Q
- What is the definition of a generative Al (gen Al) model?
A. A physical device that houses the hardware components of a gen Al system.
B. A complex algorithm trained on vast amounts of data to learn patterns and relationships.
C. A user interface that allows users to interact with a gen Al system.
D. A set of rules and guidelines governing responsible development and use of gen Al.
A
B
12
Q
- A growing retail company with fragmented phone, email, and basic website chat support
needs a unified cloud solution. They require integrated communication channels, consistent
customer experiences, and scalable support that ensures security and privacy. Which Google
Cloud offering should they use?
A. Vertex Al Platform
B. Google Cloud Contact Center as a Service
C. Conversational Al
D. Vertex Al Search
A
B
13
Q
- An organization is seeking to improve how its employees access and use internal company
information scattered across various systems. They want to provide their knowledge workers with
tools that can understand and use this data to enhance productivity and decision-making. What is
a key benefit of using Google Cloud
Agentspace in this scenario?
A. Agentspace primarily focuses on enhancing external customer engagement through Al-powered
chatbots.
B. Agentspace directly manages the underlying infrastructure and hardware required for Al model
training.
C. Agentspace allows employees to find and use internal information more easily by creating
custom Al agents that can access and understand data from various enterprise sources.
D. Agentspace is mainly designed for building and deploying custom machine learning models for
predictive analytics.
A
C
13
Q
- A software company has developers who need to write, review, debug, and generate code from
natural language descriptions by using generative Al. What type of agent is this?
A. Data analysis agent
B. Workflow agent
C. Data agent
D. Code agent
A
D
14
Q
- A generative Al tool that answers employee policy questions is providing outdated and
inaccurate information, causing confusion. The company wants the tool to give reliable answers
based on the latest official documents. What should the organization do?
A. Fine-tune the underlying language model with a broader dataset of general knowledge.
B. Increase the temperature setting of the language model.
C. Implement grounding techniques.
D. Reduce the token count parameter.
A
C
15
Q
- A company is developing a system to automatically categorize customer support emails. They
have a collection of thousands of past emails, and each email has
been manually reviewed and tagged with a category such as “Billing Inquiry,” “Technical Support,”
or “Feature Request.” What type of data is this?
A. Unlabeled data
B. Labeled data
C. Structured data
D. Raw data
A
B
15
Q
- A company sells custom-designed phone cases on their website. How should Imagen be
effectively used?
A. To generate realistic images of phone cases on devices from text descriptions of designs.
B. To analyze customer feedback to identify popular phone case design trends.
C. To predict demand for different phone case designs based on sales data.
D. To transcribe customer audio feedback on prototypes of phone case designs.
A
A
15
Q
- An advertising agency needs to quickly create many different photorealistic images from text
descriptions for client campaigns because traditional photoshoots are too slow and costly. The
agency’s goal is to generate high-quality visuals rapidly from text to improve campaign speed and
lower expenses. Which Google foundation model should be used?
A. Gemini
B. Gemma
C. Veo
D. Imagen
A
D
15
Q
- A research scientist wants to use Veo to visualize live, fluctuating data streams on a real-time
dashboard. Why would Veo be a poor choice for this particular task?
A. Veo generates videos from static inputs like text or images and cannot process or dynamically
visualize live data.
B. Veo may lack specific scientific visualization styles needed for accurate data representation.
C. Veo use for this scenario would require too many computational resources.
D. Veo is designed for short-form video, not continuous, long-duration live data displays.
A
A
15
Q
- A company sells custom-designed phone cases on their website. How should Imagen be
effectively used?
A. To generate realistic images of phone cases on devices from text descriptions of designs.
B. To analyze customer feedback to identify popular phone case design trends.
C. To predict demand for different phone case designs based on sales data.
D. To transcribe customer audio feedback on prototypes of phone case designs.
A
A
16
61. A company lacks extensive in-house machine learning and Al expertise. How does Google
Cloud democratize Al?
A. By offering exclusive access to its most powerful Al models for high-spending clients.
B. By providing fully automated Al solutions requiring no technical user input.
C. By providing a comprehensive Al platform with low-code/no-code tools, pre-trained models,
and easy-to-use APIs.
D. By offering free custom Al solution development and deployment for all businesses.
C
17
62. A company wants to choose a generative Al (gen Al) 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 Al 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 Al tools.
C
18
63. The company's development team is eager to start building generative Al solutions with Google
Cloud, but has limited experience in Al development. They need to launch their gen Al 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 Al tools and services.
B. Google Cloud's collaborative Al community and support forums connect developers with Al
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 Al tools, features,
and best practices.
A
19
64. 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. Vertex Al Search
B. Vertex Al Platform
C. Google Shopping
D. Google Search
A
19
65. A company wants to use an Al agent to automate some tasks. They want everyone to understand
the different functions of an Al agent. What is the function of an Al agent in the context of gen Al?
A. To provide the computational resources needed to train and run gen Al models.
B. To store and manage large datasets used for training and running gen Al models.
C. To provide a user-friendly interface for interacting with gen Al models.
D. To analyze situations, use multiple tools, and make informed decisions without requiring constant
human input.
D
19
66. 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 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.
A
20
67. What is the definition of an Al 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 Al application.
C. A type of user interface that allows users to interact with a gen Al application.
D. A static component of a gen Al application that provides information to the user.
A
20
68. A team is using a generative Al model to automatically generate short summaries of customer
feedback They need to ensure that these summaries are concise and easy to digest. What model
setting should they adjust?
A. Temperature
B. Output length
C. Top-p (nucleus sampling)
D. Safety settings
B
21
69. A company is developing a generative Al-powered customer support chatbot. They want to
ensure the chatbot can answer a wide range of customer questions accurately, even those related
to recently updated product information not present in the model's original training data. What is
a key benefit of implementing retrieval-augmented generation (RAG) in this chatbot?
A. RAG will significantly reduce the computational resources required to run the generative Al
model.
B. RAG will enable the chatbot to fine-tune its underlying language model on the fly based on
customer interactions.
C. RAG will enable the chatbot to access and utilize external, up-to-date knowledge sources to
provide more accurate and relevant answers.
D. RAG will primarily help the chatbot generate more creative and engaging conversational
responses.
C
22
70. A marketing team wants to use a generative Al model to create product descriptions for their
new line of eco-friendly water bottles. They provide a brief prompt stating, "Write a product
description for our new water bottle." The model generates a generic, lackluster description that is
factually accurate but lacks engaging language and doesn't highlight the environmental benefits
that are key to their brand. What should the marketing team do to overcome this limitation of the
generated product description?
A. Lower the temperature setting of the model to produce more consistent results.
B. Increase the token count for the model to allow for longer descriptions.
C. Add details to the prompt about the audience, tone, and keywords.
D. Train the model on a dataset of marketing materials from other eco-friendly brands.
C
23
71. A user asks a generative Al 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
B
24
72. A company's sales team spends a significant amount of time researching potential leads and
manually entering data into their customer relationship management (CRM) tool. They want to
improve the team's efficiency and enable them to focus on building relationships and closing deals.
What should the organization do?
A. Develop a custom Al solution using Google Cloud's AutoML Natural Language to analyze lead
communications and automatically update the CRM.
B. Implement Google Cloud's Contact Center Al to qualify leads and route them to the
appropriate sales representatives.
C. Implement Google Agentspace "unified enterprise search" including a CRM agent to automate
lead research and data entry.
D. Integrate the CRM with a popular sales intelligence platform to automatically enrich lead
profiles with valuable data.
C
24
73. A global news company is using a large language model to automatically generate summaries
of news articles for their website. The model's summary of an international summit was accurate
until it hallucinated by stating a detail that did not occur. How should the company overcome this
hallucination?
A. Fine-tune the model on a larger dataset of news articles.
B. Use grounding to base the model output on the source articles.
C. Implement stricter safety settings to filter out potentially controversial topics.
D. Increase the temperature setting of the model to encourage more diverse outputs.
B
25
74. An organization wants to quickly experiment with different Gemini models and parameters for
content creation without a complex setup. What service should the organization use for this initial
exploration?
A. Vertex Al Studio
B. Vertex Al Prediction
C. Google Al Studio
D. Gemini for Google Workspace
C
25
75. 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. Cloud Storage
B. Verte Al Pipelines
C. BigQuery
D. Model Registry
D
26
76. 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?
A. Few-shot
B. Chain-of-thought
C. Role-based
D. Zero-shot
B
26
A. When tasks are highly creative and require original thought.
B. When tasks are complex and require strategic decision-making.
C. When tasks are repetitive and rule-based.
D. When tasks involve sensitive information or require human oversight.
77. According to Google-recommended practices, when should generative Al be used to automate
tasks?
C
27
78. A sales manager wants to responsibly use generative Al (gen Al) to increase efficiency with their
existing tasks. They want to allow the sales team to focus on building customer relationships and
closing deals. How should the sales team use gen Al?
A. To automate creative content like blog posts and social media updates to attract new leads.
B. To draft emails and provide real-time insights about customer needs.
C. To analyze customer interactions on social media and automatically generate sales pitches
tailored to their public profiles.
D. To replace the sales team's CRM system with a more intuitive and user-friendly interface.
B
28
79. A home loan company is deploying a generative Al 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 Al system should they prioritize?
A. Implementing stricter data security measures to protect applicants' financial information from
unauthorized access.
B. Regularly updating the Al model with more financial data to improve its accuracy over time.
C. Increasing the speed at which the Al system processes loan applications to handle the high
volume.
D. Ensuring Al decision-making is explainable to understand decision reasons and establish
accountability.
D
29
80. A large company is creating their generative Al (gen Al) solution by using Google Cloud's
offerings. They want to ensure that their mid-level managers contribute to a successful gen Al
rollout by following Google-recommended practices. What should the mid-level managers do?
A. Secure funding and resources for Al initiatives by demonstrating the potential return on
investment to the chief financial officer (CFO).
B. Create a robust data strategy to ensure teams can access high-quality, relevant data that is
appropriate for training and fine-tuning gen Al models.
C. Perform continuous testing, measurement and refinement based on user feedback and real-
world performance data.
D. Drive gen Al adoption by identifying high-impact, feasible solutions that address specific
challenges within their workflows.
D
30
81. A company wants to adopt generative Al 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 strict adherence to proprietary technologies ensures the highest level of
security and performance.
B. Google Cloud's Al solutions are pre-packaged for easy deployment, eliminating the need for
customization and integration efforts.
C. Google Cloud's Al solutions have an open approach that supports customer choice across
offerings.
D. Google Cloud's focus on automation aims to replace human jobs with Al systems, potentially
leading to significant workforce reductions.
C
31
82. 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 Al Agent Builder to create a custom Al agent.
B. Use Vertex Al Search to index the papers and enable keyword-based searches.
C. Use Gemini for Google Workspace to facilitate collaborative document review.
D. Use Vertex Al AutoML to train a model that classifies papers into predefined research areas.
A
32
83. What will Google Cloud's Agent Assist help a company achieve?
A. The ability to analyze conversational data to identify customer sentiment, common topics of
discussion, and insights into agent performance and customer experience.
B. The ability to provide real-time assistance and recommended responses to live customer service
agents during their interactions.
C. The infrastructure to provide an enterprise-grade contact center solution with omnichannel
support, routing, and integration with CRM systems.
D. The ability to build and deploy deterministic and generative chatbot agents for automated
customer support.
B
33
85. A large ecommerce 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. Google Search
C. Vertex Al Search
D. Vertex Al Platform
C
33
84. A human resources team is implementing a new generative Al 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?
A. Integrating the Al application with various job boards to maximize candidate reach.
B. Focusing on minimizing the processing time for each application to improve efficiency.
C. Ensuring Al operates transparently, especially regarding application evaluation and data usage.
D. Ensuring that the Al application can automatically rank all candidates without requiring human
review.
C
34
A national bank is overwhelmed by customer inquiries across multiple channels and needs an AI-powered solution to provide seamless, consistent support, empower customer support agents, and improve service quality. What Google Cloud product should the bank use?
Options:
A.
Vertex AI Search
B.
Gemini for Google Workspace
C.
Google Contact Center as a Service
D.
Gemini for Google Cloud
C
34
A team is using a generative AI model to automatically generate short summaries of customer feedback. They need to ensure that these summaries are concise and easy to digest. What model setting should they adjust?
Options:
A.
Top-p (nucleus sampling)
B.
Safety settings
C.
Temperature
D.
Output length
D
35
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?
O A. Gemma
B. Veo
C. Gemini
D. Imagen
C. Gemini
36
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. Deep learning
B. Unsupervised learning
C. Reinforcement learning
D. Supervised learning
C. Reinforcement learning
37
A language learning startup called VerbaQuest wants to improve outcomes for its learners.
Rather than a fixed syllabus, its app will use generative Al to observe each learner's quiz results in real time. When a learner has trouble with a grammar rule, the app immediately produces a simpler explanation and proposes a 5-question targeted drill. When the learner shows mastery, the
app advances them to more challenging lessons and exercises. Which generative Al use case does this most closely reflect?
A. Adaptive personalized experience
B. Text generation
C. Recommendation systems
D. Automation
A
38
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. Prompt chaining that engages the Al in a conversation to gather the necessary information before generating the email response.
B. Few-shot prompting that provides examples of good and bad customer service emails.
C. Role prompting that instructs the Al to act as an experienced customer service representative with corporate knowledge.
D. One shot prompting that provides a single example of a good customer service email.
C
39
An order fulfillment team has an agent that automatically processes orders, updates inventory, sends shipping notifications, and handles returns. What type of agent is this?
A. A workflow agent
B. A customer service agent
C. A conversational agent
D. An employee productivity agent
A
40
An online travel marketplace plans to pilot a generative Al system that crafts personalized in app messages to promote weekend deals. Executives want clarity on which factors should be treated as business requirements because they will guide solution objectives and success criteria. Which
factor would count as a business requirement that would shape the gen Al approach?
A. The availability of NVIDIA GPUs for training and fine tuning
B. Selecting a foundation model from Vertex Al Model Garden versus custom model training
C. The targeted percentage lift in open rate for those in app messages
D. Whether inference will be deployed on Cloud Run or on Google Kubernetes Engine
C
41
A consumer electronics manufacturer is selecting a cloud platform to support an eight to twelve year roadmap for generative Al. Executives want a provider recognized for foundational Al breakthroughs that quickly become integrated services and purpose-built infrastructure. Which inherent
strength of Google Cloud best aligns with these goals?
A. A diverse portfolio of data storage services
B. Google's enduring "Al-first" culture and long record of foundational Al breakthroughs
C. A global private fiber network footprint
D. A large Cloud Marketplace catalog of partner solutions
B
42
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 AIl API
D
43
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.
D
Generative AI Leader
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