Generative AI Leader Google Cloud's Generative AI Offerings Practice Question
A global e-commerce company wants to translate product descriptions into 50 languages with high accuracy. They need to handle domain-specific terms (e.g., 'size chart', 'return policy'). Which approach should they use?
⚠ Common exam trap
Many exam-takers confuse general-purpose generative AI APIs (like Gemini) with specialized translation services, or assume that any AI model can handle domain-specific translation without customization, when in fact glossaries are required for consistent, accurate terminology.
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 Vertex AI Translation with custom glossaries
Vertex AI Translation with custom glossaries is specifically designed for high-accuracy, domain-specific translations. Custom glossaries allow you to define precise translations for terms like 'size chart' and 'return policy', ensuring consistency across 50 languages. This approach leverages Google's neural machine translation models while overriding generic translations with your business-specific terminology.
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 the Gemini API with a prompt like 'Translate to French'
Why it's wrong here
A single-language prompt ignores the 50-language requirement and supplies no glossary, so terms like 'size chart' may be rendered inconsistently per request. The Gemini API suits ad-hoc translation of short text. Production localisation at scale needs the Cloud Translation API with glossaries or an AutoML translation model.
- ✗
Build a custom agent with Vertex AI Agent Builder
Why it's wrong here
Agent Builder orchestrates conversational agents over enterprise data and tools; it does not perform bulk document translation. It suits building a support chatbot that answers questions. Fifty-language product translation with consistent terminology needs a translation model plus a glossary or custom translation model, not an agent framework.
- ✓
Use Vertex AI Translation with custom glossaries
Why this is correct
Custom glossaries let Vertex AI Translation enforce consistent rendering of domain-specific terms such as 'size chart' and 'return policy' across all 50 languages. Generic translation models may mistranslate these, so the glossary constraint is what preserves accuracy at scale.
- ✗
Use Imagen to generate translated images
Why it's wrong here
Imagen generates images from text prompts; it does not translate text at all, so product descriptions would remain untranslated. It suits creating marketing imagery or illustrations. The requirement is accurate multilingual text localisation with controlled terminology, which a text translation service with glossaries provides.
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