The provided text is a collection of questions and answers related to Google Cloud's AI and machine learning offerings, covering data ingestion, chatbot development, generative AI use cases, platform selection, and AI agent functionalities.
Mind Map
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คลิกเพื่อสำรวจ Mind Map แบบอินเตอร์แอคทีฟฉบับเต็ม
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 strengths are in the
data analysis tools such as BigQuery.
D. Google Cloud relies on Vertex AI to
Correct answer A. Google Cloud provides
tools such as pub/sub cloud storage and
A company is developing a conversational
AI 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? Uh,
use prompt engineering techniques like
fshot prompting to provide the chatbot
with examples of successful interactions.
interactions.
B. Limit the chatbot's training data to
prevent it from learning irrelevant information.
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.
Correct answer A. Use prompt engineering
techniques like fshot prompting to
provide the chatbot with examples of
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? Uh Gemini cannot integrate
with required financial databases.
B Gemini is not equipped to handle
structured numerical data for financial assessments.
assessments.
C Gemini is designed for flexible
content generation and inference, not
rigid rule-based decisions.
D. Gemini deployment for this scenario
Correct answer C. Gemini is designed for
flexible content generation and
inference, not rigid rule-based decisions.
A company wants a generative AI platform
that provides the infrastructure, tools,
and pre-trained models needed to build,
deploy, and manage its generative AI solutions.
solutions.
Which Google Cloud offering should the
company use? A Google Cloud Storage,
B. Google Kubernetes Engine, GKE,
C. The Vertex AI,
A software development team wants to use
generative AI, Gen AI, to code faster so
they can launch their software prototype
quicker. What should the team do? A use
Gen AI to identify potential bugs and
security vulnerabilities in their code.
B use Gen AI to refactor and optimize
existing code. C use Gen AI to
automatically generate comprehensive
documentation for their code. D. Use Gen
AI to suggest code snippets and complete functions.
