A data analyst at a financial services company receives a new dataset for an upcoming project. The dataset includes customer names, addresses, account numbers, and transaction details. Before beginning any analysis, which of the following is the most critical initial step the analyst should take to comply with data governance policies?
Determine the data's classification level according to the organization's policies.
Immediately encrypt the dataset using AES-256 encryption.
Anonymize all fields containing personally identifiable information (PII).
Move the dataset to a cloud storage bucket for easier access by the project team.
The correct answer is to first determine the data's classification level. Data classification is the process of categorizing data based on its sensitivity and is a foundational step in data governance and compliance. The classification level (e.g., Public, Internal, Confidential, Restricted) dictates the required security controls, handling procedures, access rights, and retention policies. Given the presence of personally identifiable information (PII) and financial data (which falls under regulations like PCI DSS), this dataset would be considered highly sensitive. Encrypting and anonymizing data are important security measures, but the decisions on when and how to apply them depend on the data's classification. Moving the data without understanding its handling requirements could lead to a compliance violation.
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CompTIA Data+ DA0-002 (V2)
Data Governance
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