You plan to provision a QnA Maker service in a new resource group named RG1. In RG1, you create an App Service plan named AP1. Which two Azure resources are automatically created in RG1 when you provision the QnA Maker service? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

The question refers to provisioning a "QnA Maker service" and explicitly mentions an "App Service plan," which points to the classic QnA Maker architecture (prior to its integration into the Azure AI Language service). In this architecture, creating a QnA Maker service automatically provisions several dependent Azure resources.
1. Azure Cognitive Search (D): This service is mandatory. It is used to index the knowledge base content (question-and-answer pairs) and provides powerful search and ranking capabilities to find the most relevant answer for a user's query.
2. Azure App Service (E): This resource is created to host the prediction endpoint. When a client application sends a query, it is this App Service that processes the request, queries the Cognitive Search index, and returns the answer. The pre-existing App Service Plan (AP1) provides the underlying compute resources for this App Service.

A. Language Understanding: This is a separate Azure AI service for intent recognition and entity extraction. It is not a required dependency and is not automatically created with QnA Maker.
B. Azure SQL Database: QnA Maker does not use Azure SQL Database for storing its knowledge base. It relies on Azure Cognitive Search for data persistence and retrieval.
C. Azure Storage: While Azure Cognitive Search may use Azure Storage internally, an Azure Storage account is not one of the primary, user-facing resources that is directly and automatically provisioned as a dependency for the QnA Maker service itself.

1. Microsoft Learn, "What is question answering?": Under the section "Service architecture," the documentation explains that a question answering solution consists of an Azure Cognitive Search resource for storing and indexing data. While this document describes the new architecture (as a feature of Azure AI Language), the fundamental dependency on Cognitive Search remains from the classic QnA Maker service. The question's mention of an App Service Plan points specifically to the classic architecture where an App Service was also a key component.

2. Microsoft Learn, "Migrate from QnA Maker to question answering": This document explicitly discusses the resources in the classic QnA Maker service, stating, "Previously, the QnA Maker service held both the question answering configuration and the query endpoint." This endpoint was hosted on an Azure App Service, which ran on an App Service Plan. This confirms the components of the architecture implied by the question.