A Canadian retailer wants to serve customers in both English and French through a single watsonx Assistant deployment. The assistant must automatically detect the customer's language and respond appropriately. What is the correct implementation approach?

watsonx Assistant supports multilingual deployments by allowing administrators to add multiple language-specific skills to a single assistant instance. The platform can detect the user's language and route the conversation to the matching skill, enabling a seamless bilingual experience. This approach avoids the operational overhead of managing separate instances while maintaining language-accurate dialog logic. The correct answer, "Configure the assistant with separate English and French skills and enable language detection so the assistant routes to the appropriate skill based on the customer's language", directly satisfies the scenario because it aligns with watsonx Assistant's design principles and the specific capability being tested. The incorrect options ("Deploy two entirely separate assistant instances — one English, one French — and place a custom router in front of them", "Enable the real-time translation integration to convert all French input to English before the dialog processes it, then translate responses back", "Set the assistant's primary language to 'Auto' and rely on IBM Watson Language Translator to handle all interactions invisibly") may appear relevant but each misses a key requirement or introduces a step that is either unnecessary or belongs to a different workflow. Mastering the distinction between these approaches is essential for effective watsonx Assistant implementations and is a core focus of the Domain 5: Administration section of the certification exam.