This content provides practice questions and explanations for the Google Generative AI Leader exam, focusing on common scenario-based problems and the application of Google Cloud's generative AI tools.
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Are you preparing for the Google
Generative AI Leader exam? Want to know
what types of questions show up
repeatedly? In this video, we'll go
through practice questions that appear
again and again and explain why each
answer is correct using visuals so
you'll understand the logic behind every
question. Question one. A logistics
company wants to use a generative 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? The correct answer is
D. Option D works because the AI agent
needs access to live internal data.
Using Vertex AI with Google Cloud
databases allows the agent [music] to
make realtime decisions. Other options
either don't provide live access or are
less [music] cost-effective for dynamic
inventory management. Question two, a
pharmaceutical R&D department wants to
analyze scientific papers and provide
summarized insights without coding. What
should they do? The correct answer
[music] is D. Vert.Ex AI agent builder
creates custom AI agents that can read,
understand, and [music] summarize
documents without coding. Keyword search
or AutoML classification can't directly
provide answers or summaries. and Gemini
is for collaboration, not document
analysis. Question three, the office of
the CISO wants to automate summarizing
case information, researching threats,
and creating detection rules. Which
agent should they use? Answer A,
security agent. A security agent is
specialized for security specific
workflows. Other agents don't have the
context to handle [music] these tasks efficiently.
