Best Method to Secure Stored Credit Card Data Against Breaches?
A database administrator is updating the company’s SQL database, which stores credit card information for pending purchases. Which of the following is the best method to secure the data against a potential breach?
Community Votes
65% of anonymous learners picked answer C. Votes are pick records left by other test-takers — they are not the verified answer.
Community Insight
Tests the ability to distinguish between static data protection methods, with the common trap being confusion between tokenization (secure storage with vault mapping) and masking (static display/redaction without reversible transactional value).
This question evaluates knowledge of data protection techniques, specifically focusing on securing sensitive payment information in databases. The community strongly agrees that tokenization is the optimal choice because it replaces actual card numbers with non-sensitive equivalents while maintaining reversibility through a secure vault.
Many candidates incorrectly select Data Masking (D), assuming it hides sensitive data within the database. However, masking is primarily used for non-production environments or UI display purposes, whereas tokenization is designed for live transactional storage and maintains PCI DSS compliance by ensuring stolen tokens are useless outside the secure vault.
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Expert Analysis
Understanding the Core Concept
The question tests your ability to differentiate between data protection techniques when dealing with highly regulated sensitive information like credit card numbers. In SY0-701, understanding the practical application of cryptographic and data privacy controls is critical.Why Tokenization is Correct
Tokenization replaces sensitive data (like Primary Account Numbers) with unique, randomly generated strings called tokens that have no exploitable value. As noted by multiple community contributors, the original data is securely stored in a separate token vault. When a purchase is pending, the system uses the token to process the transaction without ever exposing the actual card number in the SQL database. If the database is breached, attackers only obtain meaningless tokens. Furthermore, tokenization is explicitly recommended by the Payment Card Industry Data Security Standard (PCI DSS) for reducing compliance scope and minimizing fraud risk.Why the Other Options Are Incorrect
- Hashing (A): Creates a one-way cryptographic digest. While excellent for passwords, hashing is unsuitable for credit cards because the original data cannot be recovered. Payment processors need to reverse the data to charge the customer, making one-way hashing functionally impossible here.
- Obfuscation (B): Involves making code or data difficult to understand without necessarily providing strong cryptographic security. It offers minimal real-world protection against determined attackers and is not an industry-standard control for financial data.
- Masking (D): Replaces parts of data with characters (e.g.,
**1234) primarily for display purposes or in non-production environments. As some candidates initially suspected, masking does not support transactional processing or secure long-term storage for active payments. It lacks the reversible mapping mechanism required for pending purchases, making it a tactical red herring rather than a strategic solution.
Official Reference
Exam Strategy
Always evaluate whether the scenario requires reversible data for live transactions or if it's purely for display/non-production use. For payment processing and regulatory compliance questions, prioritize tokenization over masking or hashing, as it balances security with functional utility while significantly reducing audit scope.
Related Analysis
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