You are developing an app that will perform the following tasks:
Evaluate trends in blue chip stock prices over the past decade.
Identify unusual fluctuations in stock prices.
Produce visual representations of the data.
You need to determine which Azure Cognitive Services APIs would be suitable for the app.
Which of the following actions should you take?

A. Make use of the Anomaly Detector API

B. Make use of the Computer Vision API

C. Make use of the QnA Maker API

D. Make use of the Custom Vision API








 

Suggested Answer: A

The Anomaly Detector API enables you to monitor and detect abnormalities in your time series data with machine learning. The Anomaly Detector API adapts by automatically identifying and applying the best-fitting models to your data, regardless of industry, scenario, or data volume. Using your time series data, the API determines boundaries for anomaly detection, expected values, and which data points are anomalies.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/anomaly-detector/overview

This question is in AI-100 Designing and Implementing an Azure AI Solution Exam
For getting Microsoft Certified: Azure AI Engineer Associate Certificate





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