Predicting Data Pipeline Failures with Advanced Log Analysis: You are tasked with forecasting data pipeline failures using historical log data from Azure Databricks. Which combination of Azure services and features would most effectively enable this predictive analysis?

Real Exam

Exporting logs to Azure Data Lake Storage, using Databricks for data preparation, and Azure Synapse Analytics for running predictive models

10.2%

Streaming logs to Azure Event Hubs, then processing them with Azure Stream Analytics to feed into Azure Machine Learning for prediction

52.5%

Aggregating logs in Azure Log Analytics, applying machine learning models directly within Log Analytics, and visualizing predictions in Azure Dashboards

22.9%

Utilizing Azure Databricks notebooks to apply machine learning models on logs stored in Azure Blob Storage, analyzed with Azure Data Lake Analytics

14.4%

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Predicting Data Pipeline Failures with Advanced Log Analysis: You are tasked with forecasting data pipeline failures using historical log data from Azure Databricks. Which combination of Azure services and features would most effectively enable this predictive analysis?