Which of the following should data analysts consider when working with personally identifiable information (PII) data?

Which of the following should data analysts consider when working with personally identifiable information (PII) data?
A . Organization-specific best practices for Pll data
B . Legal requirements for the area in which the data was collected
C . None of these considerations
D . Legal requirements for the area in which the analysis is being performed
E . All of these considerations

Answer: E

Explanation:

Data analysts should consider all of these factors when working with PII data, as they may affect the data security, privacy, compliance, and quality. PII data is any information that can be used to identify a specific individual, such as name, address, phone number, email, social security number, etc. PII data may be subject to different legal and ethical obligations depending on the context and location of the data collection and analysis. For example, some countries or regions may have stricter data protection laws than others, such as the General Data Protection Regulation (GDPR) in the European Union. Data analysts should also follow the organization-specific best practices for PII data, such as encryption, anonymization, masking, access control, auditing, etc. These best practices can help prevent data breaches, unauthorized access, misuse, or loss of PII data.

Reference: How to Use Databricks to Encrypt and Protect PII Data

Automating Sensitive Data (PII/PHI) Detection

Databricks Certified Data Analyst Associate