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Microsoft Azure Data Engineer Associate - DP-203

Microsoft Azure Data Engineer Associate - DP-203

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You are tasked with implementing a data pipeline in Azure Data Factory that processes sensitive data. How can you ensure that the pipeline is secure and protects the confidentiality and integrity of the data?

Simulated



Explanation:

Ensuring that a data pipeline is secure and protects the confidentiality and integrity of sensitive data is critical for maintaining trust and compliance with regulations. Implementing security measures such as encryption and access controls, considering the specific security requirements of the data and the potential risks, is important for safeguarding the data. Assuming that the data is not sensitive or focusing only on optimizing performance without considering security can result in data breaches or other security incidents. Implementing security measures without considering the specific requirements of the data may not be effective in protecting the data.

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