Default Retention Period for Azure Data Factory Diagnostic Logs

Correct Answer: E

Pipeline-run data is stored by Data Factory only for 45 days.

Using Azure Monitor is the best option If you desire to keep the data for a longer time.

Azure Monitor, diagnostic logs can be routed for analysis to many different targets.

Option A is incorrect.

Pipeline-run data is stored by Data Factory for 45 days, not 10 days.

Option B is incorrect.

Pipeline-run data is stored by Data Factory for 45 days, not 15 days.

Option C is incorrect.

Pipeline-run data is stored by Data Factory for 45 days.

Option D is incorrect.

Pipeline-run data is stored by Data Factory only for 45 days, not 60 days.

Option E is correct.

Pipeline-run data is stored by Data Factory for 45 days.

To know more about monitoring Data Factory, please visit the below-given link:

Azure Data Factory diagnostic logs provide visibility into the health and performance of the data integration pipelines, activities, and datasets. These logs can be used to troubleshoot issues and monitor the execution of pipelines. By default, the Azure Data Factory diagnostic logs are retained for 30 days.

However, it's important to note that the retention period of diagnostic logs can be configured based on the specific requirements of the organization. In some cases, it may be necessary to retain the logs for a longer period of time for compliance or auditing purposes.

To retain the diagnostic logs for a longer time, you can use Azure Monitor. Azure Monitor provides a centralized platform for collecting, analyzing, and storing diagnostic logs from Azure services, including Azure Data Factory. With Azure Monitor, you can configure the retention period of the logs to meet your specific requirements.

In summary, the default retention period for Azure Data Factory diagnostic logs is 30 days, but this can be changed using Azure Monitor if required. The given options do not exactly match the default retention period, with option A being the closest one.