Databricks Certified Data Engineer - Professional
Get started today
Ultimate access to all questions.
Comments
Loading comments...
Ultimate access to all questions.
How can your team effectively track and log data quality issues encountered during ETL processes in Azure Databricks to ensure high data quality?
A
Sending data quality metrics from Databricks to Azure Event Hubs for real-time monitoring
B
Utilizing Databricks notebooks to print statements for any data quality issues
C
Implementing Azure Databricks‘ native logging to capture and store data quality metrics in Azure Log Analytics
D
Directly writing logs to a database table with error details and timestamps