How to Conceal Credit Card Data in Database Logs?

Which of the following is used to conceal credit card information in a database log file?

  1. Tokenization
  2. Masking Source Reference Answer
  3. Hashing
  4. Obfuscation

Community Votes

B
70%
A
30%

70% of anonymous learners picked answer B. Votes are pick records left by other test-takers — they are not the verified answer.

Community Insight

The question tests your ability to distinguish between partial redaction for operational visibility (masking) and complete replacement for high-security storage (tokenization), with the word 'conceal' being the critical trigger.

This question evaluates the practical application of data masking versus tokenization for protecting sensitive information in system logs. The community consensus strongly supports masking, as it partially redacts data to maintain format and usability while preventing full exposure.

Candidates frequently choose Tokenization because it is heavily emphasized in PCI-DSS compliance for payment systems, but they miss that logs typically require partial visibility for debugging rather than full cryptographic replacement tied to a vault.

Community Discussion (10 comments)

cri88 👍 8 Selected: B
B. Masking Masking is used to conceal sensitive information, such as credit card numbers, by replacing or hiding parts of the data. In the context of database log files, masking ensures that sensitive information is not exposed while maintaining the usability of the data for other purposes. Tokenization (A) replaces sensitive data with a token that can only be mapped back to the original data using a secure system, but it is not typically used for log file entries. Hashing (C) converts data into a fixed-length hash, but it's a one-way function, making it unsuitable if the original data needs to be retrieved. Obfuscation (D) refers to making data less understandable but is less structured and secure than masking for specific data like credit card numbers.
VincentvdS 👍 2 Selected: A
The answer is Tokenization. See also https://www.geeksforgeeks.org/difference-between-tokenization-and-masking/
9149f41 👍 1 Selected: B
In the question conceal word means hiding which is matching iwth Masking. Tokenization replaces the credit card number with random tokens, which is more about secure storage than concealing display in logs.
jbmac 👍 1 Selected: B
The correct answer is: B. Masking Explanation: Masking is used to conceal credit card information (or other sensitive data) in a way that makes the data partially visible but still useful for certain operations. For example, credit card numbers can be masked by showing only the last four digits, such as * * 1234. This allows the data to be used for display or processing without revealing the full, sensitive information.
laternak26 👍 1 Selected: B
B. Masking Masking is the process of concealing certain parts of sensitive data, such as credit card information, by replacing part of the data with a non-sensitive placeholder or character. In the case of a credit card, this could involve showing only the last four digits (e.g., *--*-1234) while hiding the rest of the number. Masking is commonly used when sensitive data needs to be logged or displayed but without revealing the full information. NOT A. Tokenization: Tokenization replaces sensitive data with a unique identifier, or "token," that has no meaningful value outside of the system that generated it. While tokenization is used for securing credit card data in transactions or storage, it does not specifically focus on concealing data in logs.
0ca8ee9 👍 2 Selected: A
To conceal credit card information in a database log file, the most commonly used method is tokenization; it replaces the actual credit card details with a random, meaningless token that can only be decrypted by the authorized system to retrieve the original information.
Nadabull 👍 1 Selected: A
To conceal credit card information in a database log file, the most commonly used method is tokenization; where the actual card details are replaced with a random, meaningless "token" that can only be decrypted by the authorized system to retrieve the original information when needed.
AndyK2 👍 1 Selected: B
From the Book: "Data masking partially redacts sensitive information by replacing some or all sensitive fields with blank characters. For example, we might replace all but the last four digits of a credit card number with Xs or *s to render the card number unreadable."
famuza77 👍 1 Selected: A
Its A, Tokenization replaces sensitive data, such as credit card numbers, with unique identification symbols (tokens) that retain all essential information without compromising security. These tokens can be stored in database logs instead of the actual credit card information, ensuring that sensitive data remains protected even if the logs are accessed.
Cee007 👍 2 Selected: B
B. Masking Masking involves altering the credit card information in such a way that it is not easily readable or identifiable while still retaining some format or structure for processing or display purposes. This is particularly useful for ensuring sensitive data is protected in log files or other records.

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Expert Analysis

Core Concept: Data Masking

Data masking is a security technique that conceals sensitive information by replacing or obscuring part of the data with placeholders. As noted in community discussions, masking ensures that credit card numbers appear as *--*-1234, allowing developers and administrators to verify system functionality without exposing the full primary account number (PAN) [[5], [8]]. This preserves the data's structural format while meeting compliance requirements for log visibility.

Why Masking is the Correct Choice

In the context of database log files, the primary goal is to prevent unauthorized exposure during monitoring, auditing, or troubleshooting. Masking strikes the ideal balance by rendering the majority of the card number unreadable while keeping the last few digits intact for correlation purposes. The term 'conceal' in the question directly aligns with this partial redaction strategy, which is why the majority of candidates correctly selected masking [[3], [10]].

Why Other Options Are Incorrect

  • Tokenization (A) involves swapping sensitive data with unique, non-sensitive identifiers (tokens) that map back to the original value via a secure vault. While excellent for live payment gateways, it is unnecessary and impractical for routine logs where reversibility isn't the priority [[6], [9]].
  • Hashing (C) is a one-way cryptographic function that produces a fixed-length digest. Because it cannot be reversed to reveal any portion of the original data, it is unsuitable for logs that may require partial data visibility for debugging.
  • Obfuscation (D) primarily refers to hiding code logic, network traffic patterns, or file structures to deter reverse engineering, not the systematic redaction of structured database fields.

Official Reference

Exam Strategy

When analyzing data protection scenarios, match the environment to the technique: use masking for logs, development databases, and UI displays where partial visibility is needed, and reserve tokenization or encryption for live production storage and transmission. Always scan for keywords like 'conceal,' 'redact,' or 'partial' to quickly eliminate hashing and obfuscation.

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