AI-102 Question 201
Single answerYou are designing an Azure AI solution that processes large volumes of real-time streaming data from IoT sensors. The solution must analyze the data for anomalies using a pre-trained machine learning model and send real-time alerts. Which Azure service should you use to implement the processing and anomaly detection effectively?
- A
Azure Stream Analytics
- B
Azure Cognitive Search
- C
Azure Machine Learning
- D
Azure Synapse Analytics
Show answer and explanation
Correct answer: A
Explanation
Azure Stream Analytics is the appropriate service for real-time data streaming and anomaly detection in this scenario. It integrates natively with pre-trained machine learning models and can process IoT sensor data streams efficiently to generate real-time alerts.
- A. Correct.
Azure Stream Analytics is designed for real-time data streaming and analytics. It supports integration with pre-trained ML models and is well-suited for detecting anomalies in streaming data.
- B. Incorrect.
Azure Cognitive Search is primarily for indexing and searching unstructured data. It is not designed for real-time data processing or anomaly detection.
- C. Incorrect.
Azure Machine Learning is for building and deploying machine learning models, but it is not optimized for handling real-time streaming data directly.
- D. Incorrect.
Azure Synapse Analytics is a big data analytics solution that works on large-scale batch processing rather than real-time streaming data.