Generative AI Leader Google Cloud's Generative AI Offerings Practice Question
Which THREE factors should be considered when choosing between Gemini 1.5 Pro and Gemini 1.5 Flash for a customer-facing chatbot? (Choose three.)
⚠ Common exam trap
Many exam-takers assume Flash lacks multimodal capabilities or that Pro has stricter safety defaults, when in fact both models share the same safety configuration and both support multimodal inputs, with the key differentiators being cost, latency, and task complexity.
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
✓
Cost constraints: Flash is more cost-effective per token
Gemini 1.5 Flash is designed as a cost-optimized model, offering significantly lower per-token pricing compared to Gemini 1.5 Pro. For a customer-facing chatbot with high query volumes, cost efficiency is a primary consideration, making Flash the more economical choice for routine interactions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Cost constraints: Flash is more cost-effective per token
Why this is correct
Flash is cheaper.
- ✓
Task complexity: Pro is better for complex reasoning
Why this is correct
Pro handles more complex tasks.
- ✗
Safety filters: Pro has stricter safety defaults
Why it's wrong here
Safety settings are configurable for both.
- ✓
Latency requirements: Flash provides faster responses
Why this is correct
Flash is optimized for speed.
- ✗
Multimodal capability: Flash does not support image input
Why it's wrong here
Both support multimodal input.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.