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Answer: All of the above.
A data governance framework in Azure Synapse Analytics should include several key components. Data classification and metadata management (Option A) help organize and describe the data assets, making them easier to discover and understand. Data access control and user authentication (Option B) ensure that only authorized users have access to sensitive data, improving data security. Data quality monitoring and validation processes (Option C) ensure the accuracy and reliability of the data. Therefore, all of these components are essential for a comprehensive data governance framework, making Option D the correct answer.
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You are working on a data analytics project that requires the use of Azure Synapse Analytics. Your team has identified a need to implement a data governance framework. What are some of the key components of a data governance framework in Azure Synapse Analytics?
A
Data classification and metadata management.
B
Data access control and user authentication.
C
Data quality monitoring and validation processes.
D
All of the above.
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