AI-102 · Question #151
You have an Azure loT hub that receives series data from machinery. You need to build an app that will perform the following actions: - Perform anomaly detection across multiple correlated sensors…
The correct answer is A. Azure Metrics Advisor. To perform anomaly detection, root cause analysis, and send alerts on time-series IoT data with minimal development time, Azure Metrics Advisor is the optimal service.
Question
Options
- AAzure Metrics Advisor
- BAzure AI Document Intelligence
- CAzure Machine teaming
- DAnomaly Detector
How the community answered
(26 responses)- A58% (15)
- B23% (6)
- C12% (3)
- D8% (2)
Why each option
To perform anomaly detection, root cause analysis, and send alerts on time-series IoT data with minimal development time, Azure Metrics Advisor is the optimal service.
Azure Metrics Advisor is an AI service specifically designed for monitoring time-series data, detecting anomalies, and diagnosing root causes across correlated metrics. It offers a low-code solution for integrating with alert systems, directly addressing the requirements for anomaly detection, root cause analysis, and incident alerting for IoT data with minimal development effort.
Azure AI Document Intelligence is used for extracting information from documents, not for time-series anomaly detection.
Azure Machine Learning is a platform for building and deploying custom ML models, which would require significant development time compared to a ready-to-use service.
Anomaly Detector is an API for detecting anomalies, but Azure Metrics Advisor provides a more comprehensive end-to-end monitoring solution including root cause analysis and alerting capabilities.
Concept tested: Azure AI service for time-series anomaly detection and root cause analysis
Source: https://learn.microsoft.com/en-us/azure/azure-metrics-advisor/metrics-advisor-overview
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