Microsoft Certified: Azure AI Engineer AssociatePlan and manage an Azure AI solutionMedium
A manufacturing company is developing an Azure AI solution for predictive maintenance using Azure Machine Learning. They need to monitor the health and performance of their deployed models, track data drift, and receive alerts for anomalies. Which Azure service should they integrate for comprehensive monitoring and alerting?
- AAzure Data Factory
- BAzure IoT Hub
- CAzure Security Center
- DAzure Monitor with Application Insights and Log Analytics
Show answer & explanationAnswer & explanation
Correct answer: D. Azure Monitor with Application Insights and Log Analytics
Azure Monitor, combined with Application Insights and Log Analytics, provides comprehensive capabilities for monitoring the health, performance, and operational metrics of Azure Machine Learning models, including data drift detection and custom alerting.
Why the other options are wrong
- A. Azure Data Factory is for data integration and orchestration, not for monitoring deployed AI models.
- B. Azure IoT Hub is for connecting, monitoring, and managing IoT devices, not for monitoring AI models deployed in Azure ML.
- C. Azure Security Center (now Defender for Cloud) focuses on security posture management and threat protection, not operational performance monitoring of AI models.
Azure Monitor for AI/ML
Azure Monitor provides comprehensive monitoring for Azure Machine Learning, including operational metrics, data drift detection, and alerting, often leveraging Application Insights and Log Analytics.
- Collects logs and metrics from Azure ML workspaces and deployments.
- Enables custom dashboards, alerts, and data drift detection.
- Integrates with Application Insights for application performance monitoring.
Memory trick: Monitor watches AI, App Insights logs, alerts you.