- A
Use Gemini with function calling to execute tasks
Function calling enables agentic behavior, allowing the model to invoke APIs to perform actions.
- B
Deploy a static knowledge base chatbot
Why wrong: Static knowledge base does not take actions.
- C
Use AutoML Tables to predict actions
Why wrong: Prediction does not execute actions.
- D
Fine-tune Gemini for classification
Why wrong: Classification does not involve taking actions.
Question 65 of 997
Generative AI Leader Google AI Ecosystem and Strategy Practice Question
This Generative AI Leader practice question tests your understanding of google ai ecosystem and strategy. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
An organization needs to build an AI system that can take actions on behalf of users, such as booking appointments or sending emails. They want to use Google Cloud's capabilities for this. Which approach aligns with Google's future direction?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use Gemini with function calling to execute tasks
Agentic AI refers to systems that can autonomously perform tasks and take actions, which is a key area of investment.
Key principle: OSPF neighbour adjacency depends on matching area, hello/dead timers, network type, and authentication — IP reachability alone is not enough.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use Gemini with function calling to execute tasks
Why this is correct
Function calling enables agentic behavior, allowing the model to invoke APIs to perform actions.
Related concept
OSPF neighbours must agree on key parameters.
- ✗
Deploy a static knowledge base chatbot
Why it's wrong here
Static knowledge base does not take actions.
- ✗
Use AutoML Tables to predict actions
Why it's wrong here
Prediction does not execute actions.
- ✗
Fine-tune Gemini for classification
Why it's wrong here
Classification does not involve taking actions.
Common exam traps
Common exam trap: OSPF can fail even when IP connectivity looks correct
OSPF neighbour formation depends on matching areas, timers, network type, authentication and passive-interface behaviour. Do not choose an answer only because the devices can ping.
Detailed technical explanation
How to think about this question
OSPF questions usually test the details that control adjacency and route selection. Read the neighbour state, area, router ID and interface configuration before deciding what is wrong.
KKey Concepts to Remember
- OSPF neighbours must agree on key parameters.
- Router ID selection can affect neighbour relationships and LSDB output.
- OSPF cost influences the preferred path.
- A route can appear in OSPF information but not become the installed route.
TExam Day Tips
- Check area mismatch first when OSPF adjacency fails.
- Review passive interfaces when a network is advertised but no neighbour forms.
- Use show ip ospf neighbor and show ip route clues carefully.
Key takeaway
OSPF neighbour adjacency depends on matching area, hello/dead timers, network type, and authentication — IP reachability alone is not enough.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. OSPF neighbour adjacency depends on matching area, hello/dead timers, network type, and authentication — IP reachability alone is not enough. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Review OSPF neighbour requirements — matching area type, hello and dead timers, network type, stub flags, and authentication. Study show ip ospf neighbor states (INIT, 2-WAY, FULL). Then practise related Generative AI Leader OSPF questions on adjacency and route selection.
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FAQ
Questions learners often ask
What does this Generative AI Leader question test?
Google AI Ecosystem and Strategy — This question tests Google AI Ecosystem and Strategy — OSPF neighbours must agree on key parameters..
What is the correct answer to this question?
The correct answer is: Use Gemini with function calling to execute tasks — Agentic AI refers to systems that can autonomously perform tasks and take actions, which is a key area of investment.
What should I do if I get this Generative AI Leader question wrong?
Review OSPF neighbour requirements — matching area type, hello and dead timers, network type, stub flags, and authentication. Study show ip ospf neighbor states (INIT, 2-WAY, FULL). Then practise related Generative AI Leader OSPF questions on adjacency and route selection.
What is the key concept behind this question?
OSPF neighbours must agree on key parameters.
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Last reviewed: Jul 4, 2026
This Generative AI Leader practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the Generative AI Leader exam.
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