AI-102 exam dumps

AI-102 practice question 19 of 493

Designing and Implementing a Microsoft Azure AI Solution. Professional level, Microsoft. Free question with the correct answer and a full explanation.

AI-102 Question 19

Single answer

You are designing a generative AI solution for your organization to automatically create detailed product descriptions based on minimal input data (e.g., product name and a few key attributes). The solution needs to generate text in multiple languages and must integrate seamlessly with other Azure services for further processing. Which Azure service should you choose to implement the generative AI model?

  1. A

    Azure OpenAI Service

  2. B

    Azure Bot Services

  3. C

    Azure Cognitive Search

  4. D

    Azure Machine Learning

Show answer and explanation

Correct answer: A

Explanation

Azure OpenAI Service provides access to advanced generative AI models, such as GPT, which are pre-trained for tasks like text generation and translation. This makes it the ideal choice for generating detailed product descriptions in multiple languages with minimal input. The other options are either not related to generative AI or require significantly more effort to achieve the same functionality.

  • A. Correct.

    Azure OpenAI Service is specifically designed for generative AI tasks, such as text generation, summarization, and translation, using powerful pre-trained models like GPT. It is the best choice for generating multilingual product descriptions.

  • B. Incorrect.

    Azure Bot Services is primarily used for building conversational AI, such as chatbots. While it can use AI models, it is not specifically optimized for text generation tasks like creating product descriptions.

  • C. Incorrect.

    Azure Cognitive Search is designed for indexing and searching content. It is not a generative AI service and cannot create new text based on input data.

  • D. Incorrect.

    Azure Machine Learning is a general-purpose platform for building, training, and deploying custom machine learning models. While it can be used for generative AI, it requires significant effort to train a model from scratch or fine-tune existing models, making it less suitable compared to Azure OpenAI Service for this scenario.

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