Quick Answer
The answer is to use Vertex AI Translation with custom glossaries, because this approach directly addresses the need for high accuracy with domain-specific terms like 'size chart' and 'return policy' across 50 languages. Custom glossaries allow you to define precise, consistent translations for your business vocabulary, overriding the generic output of Google’s neural machine translation models to ensure that critical e-commerce terms are rendered correctly every time. On the Google Cloud Generative AI Leader exam, this question tests your understanding of when to apply custom glossaries versus relying on base translation models or AutoML Translation—a common trap is choosing AutoML for domain adaptation, but glossaries are the lighter, more targeted solution for term-level control. Remember the memory tip: “Glossaries guard your glossary”—if you need to lock in specific terms, glossaries are the guardrails that keep translations on-brand and accurate.
This Generative AI Leader practice question tests your understanding of google cloud's generative ai offerings. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
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?
Use the Gemini API with a prompt like 'Translate to French'
Why wrong: Not optimized for translation; may lack domain accuracy.
Build a custom agent with Vertex AI Agent Builder
Why wrong: Not a translation service.
Use Vertex AI Translation with custom glossaries
Custom glossaries ensure domain-specific terms are translated correctly.
Use Imagen to generate translated images
Why wrong: Imagen is for image generation, not translation.
Answer choices
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
Option C is correct because 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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
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
Not optimized for translation; may lack domain accuracy.
Build a custom agent with Vertex AI Agent Builder
Why it's wrong here
Not a translation service.
Use Vertex AI Translation with custom glossaries
Why this is correct
Custom glossaries ensure domain-specific terms are translated correctly.
Related concept
Read the scenario before looking for a memorised answer.
Use Imagen to generate translated images
Why it's wrong here
Imagen is for image generation, not translation.
Common exam traps
The trap here is that candidates may 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.
Detailed technical explanation
Vertex AI Translation uses AutoML Translation models that can be fine-tuned with custom glossaries, which are essentially key-value pairs mapping source terms to target terms. Under the hood, the service applies these glossaries as post-editing rules on top of the base neural machine translation output, ensuring domain-specific terms are never mistranslated. In a real-world scenario, a retailer could upload a glossary with entries like 'size chart' -> 'guide des tailles' (French) and 'return policy' -> 'politique de retour' (French), and the service will enforce these translations across all 50 target languages.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. 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
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Google Cloud's Generative AI Offerings — This question tests Google Cloud's Generative AI Offerings — Read the scenario before looking for a memorised answer..
The correct answer is: Use Vertex AI Translation with custom glossaries — Option C is correct because 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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 25, 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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