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

When handling personally identifiable information (PII), a data analyst must adopt a comprehensive approach to compliance and security. This involves adhering to the organization's internal data handling policies and best practices (A). Crucially, they must also comply with legal and regulatory frameworks, which often depend on geography. This includes the laws of the region where the data was collected, such as GDPR for European residents (B), and the laws of the jurisdiction where the analysis is being performed, which may have its own data processing and sovereignty requirements (D). Therefore, all these factors are critical considerations.

A. Organization-specific best practices for Pll data: This is insufficient on its own, as it omits mandatory external legal and regulatory obligations which may supersede internal policies.

B. Legal requirements for the area in which the data was collected: This is incomplete. It overlooks the organization's internal rules and the legal requirements of the location where the analysis is conducted.

C. None of these considerations: This is incorrect. Handling PII is a highly regulated activity that demands careful consideration of multiple security and legal factors.

D. Legal requirements for the area in which the analysis is being performed: This is also incomplete, as it ignores internal policies and the often-stricter laws tied to the data subject's location (where data was collected).

1. Databricks Documentation

"What is data governance?": This document emphasizes that a key goal of data governance is to "comply with regulations." It states

"Data governance helps organizations manage their data assets

ensure data quality and security

and comply with regulations." This supports the need to consider legal requirements (B and D) and internal management of data assets (A).

Source: Databricks Official Documentation > Get started > Concepts > What is data governance?

2. Databricks Documentation

"Data governance and security with Databricks": This guide highlights that a comprehensive governance solution must address "regulatory compliance

and enforcing internal policies." This directly supports considering both organization-specific practices (A) and external legal requirements (B

D).

Source: Databricks Official Documentation > Solutions > Data governance and security with Databricks.

3. General Data Protection Regulation (GDPR): The territorial scope of the GDPR (Article 3) explicitly states that the regulation applies to the processing of personal data of data subjects who are in the Union

regardless of whether the processing takes place in the Union or not. This establishes the legal precedent for considering the laws of the area where data was collected (B).

Source: Official Journal of the European Union

REGULATION (EU) 2016/679 (General Data Protection Regulation)

Article 3: Territorial scope.