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Generative AI Leader Practice Question: Building a multilingual customer support chatbot…
A company is building a multilingual customer support chatbot that needs to understand and respond in 20 languages. Which Google model is most suitable for this task?
⚠ Common exam trap
Google often tests the distinction between specialized models (like Chirp for audio, Imagen for images, Codey for code) and general-purpose multimodal LLMs (like Gemini) that can handle diverse tasks including multilingual text generation.
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
✓
Gemini
Gemini is a multimodal large language model (LLM) designed for understanding and generating text across multiple languages, making it the most suitable choice for a multilingual customer support chatbot. Unlike specialized models, Gemini's architecture supports over 100 languages natively, enabling it to handle the 20-language requirement without needing separate language-specific models.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Chirp
Why it's wrong here
Chirp is a speech-to-text model, so it transcribes audio rather than generating multilingual chat responses. It is tempting because Chirp supports many languages, but that support applies to speech recognition, not conversational text generation, which the chatbot requires.
- ✗
Imagen
Why it's wrong here
Imagen generates images from text prompts, so it cannot understand or respond in 20 languages. It is tempting because Imagen is a Google generative model, but its output modality is images, not the multilingual conversational text this chatbot must produce.
- ✗
Codey
Why it's wrong here
Codey generates and completes code, so it cannot produce multilingual customer support dialogue. It is tempting because Codey is a Google generative model, but its training domain is programming text, not the 20-language conversational understanding and response the chatbot needs.
- ✓
Gemini
Why this is correct
Gemini is natively multimodal and multilingual, handling 20 languages within one model without per-language pipelines or separate deployments. That built-in multilingual coverage directly satisfies the chatbot's requirement to understand and respond across all 20 languages.
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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.