Question 1 of 30
A financial services company is looking to enhance its customer support by implementing a natural language processing (NLP) solution using Azure Cognitive Services. They want to analyze customer feedback from various channels, including emails, chat logs, and social media posts, to identify sentiment and key topics. The company plans to use the Text Analytics API for sentiment analysis and key phrase extraction. If the company receives 1,000 feedback entries and the Text Analytics API processes them with an average response time of 2 seconds per entry, what will be the total processing time in minutes? Additionally, how can the company ensure that the NLP model remains effective over time as customer language and sentiment evolve?
33.33 minutes; by regularly retraining the model with new data and incorporating feedback loops
30 minutes; by using a static model that does not require updates
50 minutes; by only analyzing data once a year
25 minutes; by limiting the analysis to only the most recent feedback

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