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microsoft · AI-102 · Q1 · drag_and_drop · language_understanding, programmatic_update, phrase_list

You have 100 chatbots that each has its own Language Understanding model. Frequently, you must add the same phrases to…

You have 100 chatbots that each has its own Language Understanding model. Frequently, you must add the same phrases to each model. You need to programmatically update the Language Understanding models to include the new phrases. How should you complete the code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point. Select and Place:
Correct mappings
Explanation
The correct answer likely involves leveraging the API provided by the Language Understanding service to programmatically update multiple models. By using the appropriate endpoint or SDK methods, you can iterate through the 100 models and uniformly add new phrases to each one. This ensures consistency and reduces manual overhead, which is particularly beneficial in scenarios with frequent updates. Other options might involve manually updating each model or using a less automated workflow. However, these approaches are inefficient and prone to errors, especially when scaling to numerous models. Reviewing documentation for batch updates or SDK usage in the Language Understanding service will provide additional insights into implementing this solution effectively.

Reference: Language Understanding — API Integration

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