The provided text is a collection of questions and answers related to Google Cloud's generative AI services, focusing on their application, best practices, and underlying concepts. It highlights how Google Cloud facilitates the development and deployment of AI solutions for various business needs.
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A large e-commerce company with a
substantial product catalog and many
support documents has customers
struggling to find information on their website.
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 AI search, B a
Vertex AI platform,
Correct answer A.
Vertex AI search is ideal for this scenario.
scenario.
It allows companies to build
sophisticated search experiences over
their own product catalogs and support documents.
documents.
This improves accuracy and helps
customers find what they need directly
addressing high support costs and poor
user experience.
Vertex AI platform is broader for
general ML development. Google shopping
is for consumers and Google search is
An organization wants to use generative
AI to create a chatbot that can answer
customer questions about their account balances.
balances.
They need to ensure that the chatbot can
access previous portions of the
conversation with the customer. Which
Options.
A use zeroot prompting.
B use roll prompting.
C use few shot prompting.
Answer D.
What is a characteristic of Google Cloud
as a generative AI company? A Google
Cloud provides fully autonomous AI
agents that require zero configuration
or management overhead.
B. Google Cloud has an AI first focus
that enables innovation with continuous
updates and broad integration across its platform.
platform.
C. Google Cloud ensures that all
generative AI models and data are
completely secured and isolated from
external networks.
D. Google Cloud relies on proprietary
closed source AI technologies for
Google Cloud emphasizes an AI first
approach, integrating AI capabilities
across its services and consistently
innovating with new models and features.
While security is a high priority, fully
autonomous AI agents requiring zero
configuration are generally not the
norm, and completely secured and
isolated from external networks is an
oversimplification of cloud security models.
models.
Google also contributes to and supports
open-source AI initiatives, not solely
relying on proprietary closed source technologies.
Which Google Cloud service offers
scalable training of large generative AI
models using TPUs?
A BigQuery,
B. Cloud Run, C. The Vertex AI,
Which of the following is the best
practice to improve the performance of
generative models when dealing with
domain specific tasks?
A. Lower the model size. B. Fine-tune
the model with domain specific data. C.
Increase response temperature.
Answer B. Fine-tune the model with
in the context of responsible AI. What
is prompt injection?
A a method of speeding up inference.
B a data augmentation technique.
C a security risk where harmful input
manipulates model behavior.
D a technique to scale multimodal learning.
Answer C. A security risk where harmful
Which tool can help evaluate, tune, and
monitor foundation models in Google
Cloud? A cloud monitoring.
B A Vertex AI Studio.
C Cloud Functions.
You are asked to ensure data privacy for
a generative AI app. Which strategy is
most appropriate?
A. Disable logging. B. Host your model
on a public endpoint?
C. Encrypt data at rest and in transit
and limit access to model prompts and outputs.
outputs.
D. only train on synthetic data. Answer
C. Encrypt data at rest and in transit
and limit access to model prompts and outputs.
Answer C. Encrypt data at rest and in
transit and limit access to model
Which of the following is not a benefit
of using Vertex AI search and conversation?
conversation?
A out ofthe-box support for RA retrieval
augmented generation.
B fully managed conversational agents.
C. Native SQL based querying.
D. Grounding LLM output with enterprise
data. Answer. C. Native SQL based querying.
What is retrieval augmented generation?
RA a primarily used for in generative AI.
AI.
Generating images from text. B enhancing
model outputs with relevant external
data. C. Reducing inference latency.
D. Encrypting model outputs.
Answer. B. Enhancing model outputs with
Which format is typically used to
fine-tune a PL model using your
organization's documents?
A dot docs,
B. HTML,
C. Sonel,
What is the primary advantage of
grounding responses in enterprise data
when using generative AI? A faster token generation.
generation.
Better model compression.
C. A more accurate and contextaware
outputs. D. Reduced GPU usage.
Answer. C. A more accurate and
What is the primary goal of using
temperature in generative AI prompts?
A limit token usage.
B control randomness and creativity.
C encrypt model weights. D measure latency.
latency.
Answer. B control randomness and creativity.
in Google Cloud. What's a key benefit of
using private endpoints for Foundation models?
models?
A improves prompt response speed. B
ensures HIPPA compliance only. C allows
secure communication within a VPC.
Answer C. allows secure communication
Which service allows visual prototyping
and prompt testing for generative AI models?
models?
A cloud shell. B AI notebook
C avertex AI studio
Which Google Cloud product integrates
structured search with generative AI capabilities?
capabilities?
A big table. B. Avertex AI search. C. A
A user wants to generate explanations
and summaries from a corpus of legal documents.
documents.
Which Google Cloud solution is best
suited? A cloud functions.
B. App Engine.
C. A. A. A. A. A. A. A. A. A. A. Vert.
AI plus generative AI studio. D. A.
Cloud build. Correct answer is Cvertex
Correct answer is Cvertex AI plus
An organization is collecting data to
train a generative AI model for customer service.
service.
They want to ensure security throughout
the ML life cycle. What is a critical
consideration at this stage? Uh
implementing access controls and
protecting sensitive information within
the training data. B. Applying the
latest software patches to the AI model
on a regular basis.
C. Establishing ethical guidelines for
AI model responses to ensure fairness
and avoid harm. D. Monitoring the AI
model's performance for unexpected
A customer service team wants to use
generative AI to improve the quality and
consistency of their email responses to
customer inquiries.
They need a solution that can guide the
AI to adopt a helpful, empathetic tone
while adhering to company policies.
Which prompting technique should they
use? Options.
A prompt chaining that engages the AI in
a conversation to gather the necessary
information before generating the email response.
response.
B. A role prompting that instructs the
AI to act as an experienced customer
service representative with corporate knowledge.
knowledge.
C. Oneshot prompting that provides a
single example of a good customer
service email. D. A few shot prompting
that provides examples of good and bad
Correct answer B. Be a role prompting
that instructs the AI to act as an
experienced customer service
A marketing team wants to use a
generative AI 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?
Uh, train the model on a data set of
marketing materials from other
eco-friendly brands.
B, add details to the prompt about the
audience, tone, and keywords.
C. Increase the token count for the
model to allow for longer descriptions.
D. Lower the temperature setting of the
model to produce more consistent results.
Correct answer B. B. Add details to the
prompt about the audience, tone, and keywords.
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