For the AI-102 exam, understanding the Azure OpenAI REST API reference is crucial. Here are the key areas you should focus on:

Control Plane API

  • Resource Management: Learn how to create, update, and delete Azure OpenAI resources using the control plane API 1.
  • Deployment: Understand how to deploy models and manage deployments through Azure Resource Manager, Bicep, Terraform, and Azure CLI 1.

Data Plane - Authoring API

  • Fine-Tuning: Familiarize yourself with the API endpoints for fine-tuning models, uploading files, and managing ingestion jobs 1.
  • Batch Operations: Study how to perform batch operations and model-level queries 1.

Data Plane - Inference API

  • Completions: Learn how to create completions for provided prompts using the inference API 1.
  • Chat Completions: Understand the endpoints for chat completions, embeddings, and other inference capabilities 1.
  • Authentication: Know the methods for authenticating API calls using API Keys or Microsoft Entra ID 1.

REST API Versioning

  • API Versions: Be aware of the versioning structure using the api-version query parameter, which follows the YYYY-MM-DD format 1.

Example API Call

Here’s an example of making a completion request:

POST https://{endpoint}/openai/deployments/{deployment-id}/completions?api-version=2024-10-21

Include the necessary headers and body parameters to specify the prompt and model settings.

Additional Resources

For more detailed information, you can refer to the Azure OpenAI REST API reference 1.

This knowledge will help you prepare effectively for the AI-102 exam. If you have any specific questions or need further assistance, feel free to ask!

Are you ready to dive into your exam preparation? 😊

1: Azure OpenAI REST API reference

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