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Answer: Enable diagnostic logging through the Azure portal, collect both performance metrics and resource logs, store logs in a secured Azure Data Lake Storage account.
To effectively monitor an Azure AI service, it is crucial to collect both performance metrics and resource logs. Storing these logs in a secured Azure Data Lake Storage account ensures they are protected and efficiently managed.
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You are tasked with configuring diagnostic logging for an Azure AI service to monitor the performance and usage patterns. Describe the steps you would take to enable and configure diagnostic settings, including the types of logs and metrics you would collect, and how you would ensure that these logs are stored securely and efficiently.
A
Enable diagnostic logging through the Azure portal, collect only performance metrics, store logs in a Blob Storage account.
B
Enable diagnostic logging through PowerShell, collect both performance metrics and resource logs, store logs in a Log Analytics workspace.
C
Enable diagnostic logging through the Azure CLI, collect only resource logs, store logs in a Blob Storage account.
D
Enable diagnostic logging through the Azure portal, collect both performance metrics and resource logs, store logs in a secured Azure Data Lake Storage account.
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