Use the Language service to perform sentiment analysis is correct. This capability is built to detect positive negative or neutral tone in text and it can flag comments that express negative sentiment.

The Azure Language service returns sentiment scores at the document and sentence level and it also supports opinion mining to show which aspects of a service customers speak about and how they feel about each aspect. That makes sentiment analysis the right choice for monitoring customer comments and alerting on negative feedback.

Use the Language service to perform entity linking is incorrect because entity linking maps mentions in text to entries in a knowledge base and it does not provide sentiment labels or scores.

Use the Language service to extract key phrases is incorrect because key phrase extraction identifies important words and phrases but it does not determine whether the text expresses positive or negative feelings.

Use the Azure Translator service for language detection is incorrect because the Translator service focuses on translating text and detecting language and it does not perform sentiment analysis to classify emotional tone.

Use the Language service to extract named entities is incorrect because named entity recognition finds people places and organizations and it does not assess sentiment or emotional polarity in comments.

Full AWS Practitioner Certification Question