Question 114 of 1,013
SY0-701 Security Program Management and Oversight Practice Question
A support team wants to export customer tickets into a test analytics environment so developers can search real examples while minimizing privacy exposure. The exported data includes names, email addresses, and account IDs that are not needed for the test. What is the best first step?
⚠ Common exam trap
Candidates often assume internal environments are automatically secure, leading them to choose Option C, but the SY0-701 exam emphasizes that data protection controls must be applied consistently regardless of environment boundaries.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Remove or tokenize unneeded personal identifiers before export
Data minimization is a core privacy principle: before exporting data to a test environment, any personally identifiable information (PII) not required for the analytics task should be removed or tokenized. This reduces the attack surface and ensures compliance with privacy regulations (e.g., GDPR, CCPA) without sacrificing the utility of the real customer ticket examples.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Export the full dataset and restrict access with a shared password
Why it's wrong here
Exporting the full dataset with a shared password does not reduce the volume of exposed personal data and provides no individual accountability, as everyone uses the same credential. A password alone is a weak and easily shared access control, failing to support data minimization or privacy requirements. The support team should instead de-identify unnecessary identifiers, ensuring the export contains only relevant non-sensitive information.
- ✓
Remove or tokenize unneeded personal identifiers before export
Why this is correct
Removing or tokenizing unneeded personal identifiers before export directly implements data minimization and privacy-by-design, ensuring that only the minimum necessary information leaves the production environment. Tokenization replaces sensitive values with random placeholders that retain data format or logic for testing while preventing the recovery of original personal data without access to the token mapping. This significantly reduces the risk of unintended exposure and aligns with data protection regulations like GDPR and HIPAA.
- ✗
Keep the data unchanged because the test environment is internal
Why it's wrong here
The belief that an internal test environment makes unchanged data acceptable is false because insider threats, misconfigured environments, or future re-purposing can still expose personal information. Data protection laws apply regardless of where data resides, and copying production data to an internal test environment without sanitization violates the principle of purpose limitation. The team should generate synthetic or masked test data that preserves realistic relationships without carrying actual personal identifiers.
- ✗
Store the export indefinitely because development data is exempt from retention rules
Why it's wrong here
Development data is not automatically exempt from retention rules, and indefinite storage of exported customer tickets creates a larger attack surface and increases the duration of compliance obligations. Most regulations explicitly require personal data not be kept longer than necessary, with retention schedules applying equally to dev, test, or staging environments. The support team should apply the company's data retention policy to the export, establishing a defined deletion window and auditing its lifecycle.
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Last reviewed: Jun 11, 2026
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