This content explores various aspects of generative AI, focusing on its core hardware components, practical applications, ethical considerations like data privacy and bias, and the tools and platforms available for its development and deployment, particularly within the Google Cloud ecosystem.
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What are core hardware components of the
infrastructure layer in the generative
AI landscape?
A. TPUs and GPUs.
B. User interfaces.
C. Pre-trained models.
D. Tools and services for building AI models.
A company is developing a generative AI
application to analyze customer feedback
collected through online surveys.
Stakeholders are concerned about
potential privacy risks associated with
this data. As the feedback contains
personally identifiable information PII,
they need to mitigate these risks before
using the data to train the AI model.
What action should the company prioritize?
prioritize?
A focusing on collecting only
quantitative feedback data in future surveys.
surveys.
B. Ensuring that the AI model is trained
on a large and diverse data set. C.
Implementing strong access controls to
limit which teams can view the raw
survey data.
D. Applying data anonymization
techniques to remove or obscure
Correct answer D. D. Applying data
anonymization techniques to remove or
What is a key advantage of using
Google's custom-designed TPUs?
A TPUs are lightweight processors
intended for deployment on edge devices.
BTPUs 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.
DTPUs are primarily designed to improve
the general processing speed of virtual
Correct answer C. C. TPUs are
specialized AI processors that excel at
parallel processing for machine learning workloads.
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 pre-built generative AI
tool that can process these documents
and provide summarized insights directly
from the source material with citations.
What should the analyst do? Uh, 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 Notebook LM 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.
Correct answer C. C. Use notebook LM to
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 complexity of building and
deploying sophisticated internal
knowledge bases to answer employees
finance related questions with accurate
and up-to-date information.
B. The difficulty in analyzing large
data sets of financial transactions and
market data to identify anomalies and
predict future financial performance.
C. 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.
D. The challenge of efficiently
producing highquality written summaries
and initial drafts of financial communications.
Correct answer D. D. The challenge of
efficiently producing highquality
written summaries and initial drafts of
A company is trying to decide which
platform to use to optimize its
generative AI genai solutions.
Why should the company use Vertex AI platform?
platform?
A. It provides a mechanism for efficient
analysis and exploration of large data
sets used in machine learning. B. It
provides Gen AI coding assistance with
enterprise security and privacy protection.
protection.
C. It provides scalable and
cost-effective object storage for data
used in machine learning workflows.
D. It provides a unified platform of
tools for building, deploying, and
The correct answer is D.
D. It provides a unified platform of
tools for building, deploying, and
A company is using a language model to
solve complex customer service inquiries.
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.
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? Ed
zero shot. B few shot. C role-based.
A company is developing a generative AI
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 rabbot?
A R A will significantly reduce the
computational resources required to run
the generative AI model. B R A will
primarily help the chatbot generate more
creative and engaging conversational responses.
responses.
C RA will enable the chatbot to
fine-tune its underlying language model
on the fly based on customer interactions.
interactions.
D R A will enable the chatbot to access
and utilize external up-to-date
knowledge sources to provide more
Correct answer D. D. R. A will enable
the chatbot to access and utilize
external up-to-date knowledge sources to
provide more accurate and relevant answers.
According to Google recommended
practices, when should generative AI be
used to automate tasks?
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.
rule-based.
D. When tasks are complex and require
The correct answer is C.
C when tasks are repetitive and rule-based.
A sales manager wants to responsibly use
generative AI, Gen AI, 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 Genai?
A to replace the sales team CRM system
with a more intuitive and user-friendly interface.
interface.
B to analyze customer interactions on
social media and automatically generate
sales pitches tailored to their public profiles.
profiles.
C to draft emails and provide real-time
insights about customer needs.
D to automate creative content like blog
posts and social media updates to
attract new leads.
Correct answer is C. C. To draft emails
and provide real-time insights about
A global news company is using a large
language model to automatically generate
summaries of news articles for their website.
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?
Use grounding to base the model output
on the source articles.
B. Implement stricter safety settings to
filter out potentially controversial topics.
topics.
C. Fine-tune the model on a larger data
set of news articles.
D. Increase the temperature setting of
the model to encourage more diverse outputs.
Correct answer is a use grounding to
base the model output on the source articles.
What is an example of unsupervised
machine learning? Uh analyzing customer
purchase patterns to identify natural groupings.
groupings.
B. Training a system to recognize
product images using labeled categories.
C. Predicting subscription renewal based
on past renewal status data. D. A.
Forecasting sales figures using
historical sales and marketing spend.
Correct answer is A. A. Analyzing
customer purchase patterns to identify
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 AI
solution using Google Cloud's AutoML
natural language to analyze lead
communications and automatically update
the CRM.
B. Implement Google Cloud's contact
center AI to qualify leads and route
them to the appropriate sales representatives.
representatives.
C. Implement Google Agent Space 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
Correct answer C. Implement Google Agent
Space Unified Enterprise Search
including a CRM agent to automate lead
A company wants to choose a generative
AI genai 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.
Correct answer D. D. The specific
business problems the company aims to
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
at top P nucleus sampling?
B safety settings.
C temperature
What does a diffusion model do?
Analyzes data and predicts future trends
and patterns.
B. Optimizes business processes and
resource allocation.
C. facilitates the storage and
management of structured data. DA
generates highquality content by
refining noise into structured data.
Correct answer D. DA generates
highquality content by refining noise
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.
intelligence.
What component of Google's customer
engagement suite best addresses this
need? A Google Cloud contact center as a
service. B. Agent Assist.
C. Conversational agents.
Correct answer. D. Conversational insights.
A learning and development team wants to
quickly create a new hire training video
with a custom avatar and voice over that
matches their company's branding and key messaging.
messaging.
They did not receive any money to spend
on the production. What should they do?
Generate the video frames within.
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.
Correct answer D. Create a video with
A company wants to build a model to
classify customer reviews as positive,
negative, or neutral. They have
collected a data set 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 deep
deep learning. B unsupervised learning.
C reinforcement learning. D supervised learning.
A company trains a generative AI model
designed to classify customer feedback
as positive, negative, or neutral.
However, the training data set
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
data dependency,
B. Edge case,
C. Hallucination,
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