AI-102 Question 188
Single answerYou are developing a customer feedback analysis application for a retail company. The application needs to determine the sentiment (positive, neutral, or negative) of customer reviews stored in an Azure Blob Storage. The company wants a serverless solution with minimal development effort, and the results should be stored in Cosmos DB for further analysis. Which Azure service should you use to analyze the sentiment of the reviews?
- A
Azure Cognitive Services Text Analytics API
- B
Azure Machine Learning with a custom sentiment model
- C
Azure Logic Apps with a built-in sentiment analysis connector
- D
Azure Synapse Analytics for text processing
Show answer and explanation
Correct answer: A
Explanation
Azure Cognitive Services Text Analytics API is a prebuilt service designed for tasks like sentiment analysis. It is easy to integrate into applications with minimal development effort and aligns perfectly with the requirement to process text data stored in Azure Blob Storage. Other options either require significant custom development or do not provide the necessary sentiment analysis functionality.
- A. Correct.
Azure Cognitive Services Text Analytics API is the most suitable service for determining sentiment in text. It is a prebuilt AI service that requires minimal development effort and provides accurate sentiment analysis for text data.
- B. Incorrect.
While Azure Machine Learning can be used to build a custom sentiment analysis model, it requires significant effort to develop, train, and deploy the model. This makes it a less suitable option for a minimal-effort requirement.
- C. Incorrect.
Azure Logic Apps has connectors for automation but does not have a built-in sentiment analysis capability. It can integrate with Cognitive Services, but it is not a standalone solution for sentiment analysis.
- D. Incorrect.
Azure Synapse Analytics is designed for big data processing and analytics, but it does not provide sentiment analysis capabilities. It is not a suitable choice for this scenario.