Question 90 of 529
Asset SecurityeasyMultiple ChoiceObjective-mapped

Quick Answer

The answer is to implement automated data classification tools that scan for sensitive content and apply labels. This is the most effective method because these tools use content inspection, pattern matching, and machine learning to consistently label data at rest, in use, and in transit, eliminating the variability of human judgment. On the CISSP exam, this concept tests your understanding of data lifecycle protection and the principle that automated enforcement is superior to manual processes for scalability and uniformity. A common trap is choosing a policy-only solution, which lacks enforcement, or relying on user training alone, which fails to guarantee consistency across all data types. Remember the memory tip: “Automation beats perspiration”—when you see “consistent labeling” in a question, look for the tool that scans and applies labels automatically, not a manual or procedural control.

CISSP Asset Security Practice Question

This CISSP practice question tests your understanding of asset security. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A multinational corporation must ensure that data leaving the organization's network is classified and labeled appropriately. Which of the following is the MOST effective method to enforce consistent labeling across all data types?

Question 1easymultiple choice
Read the full NAT/PAT explanation →

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

Implement automated data classification tools that scan for sensitive content and apply labels

Automated data classification tools (e.g., Microsoft Purview, Symantec DLP) use content inspection, pattern matching, and machine learning to scan data at rest, in use, and in transit. They apply consistent labels based on predefined policies (e.g., regex for PII, fingerprinting for IP), ensuring uniform labeling across all data types without relying on human consistency or manual effort.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Implement automated data classification tools that scan for sensitive content and apply labels

    Why this is correct

    Automated tools ensure consistent application of labels based on predefined rules.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Appoint data stewards in each department to manually review and label data

    Why it's wrong here

    Manual labeling is inconsistent and resource-intensive.

  • Require all employees to complete annual training on data classification

    Why it's wrong here

    Training is necessary but does not enforce consistent labeling in practice.

  • Encrypt all data in transit and at rest to prevent unauthorized access

    Why it's wrong here

    Encryption protects data but does not provide visibility into classification labels.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse encryption (which protects data) with classification (which labels data), or they overestimate the effectiveness of training and manual processes for consistent enforcement at scale.

Trap categories for this question

  • Real-world vs exam trap

    Training is necessary but does not enforce consistent labeling in practice.

Detailed technical explanation

How to think about this question

Automated classification tools often integrate with DLP systems using protocols like ICAP (Internet Content Adaptation Protocol) to inspect traffic in real time, or they use file system filters (e.g., Windows File Server Resource Manager) to apply labels via extended attributes or metadata tags. In a real-world scenario, a multinational might deploy a tool that scans emails for credit card numbers (regex for PCI DSS) and automatically applies a 'Confidential' label, while also using exact data matching to detect proprietary source code, ensuring labels are applied even if employees forget.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A security team runs a vulnerability scan on a web application and discovers an unpatched SQL injection flaw. The team prioritises remediation by CVSS score — critical flaws are patched within 24 hours, high within 7 days. Questions like this test whether you understand vulnerability management processes, scanning tools, and remediation prioritisation.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

Related practice questions

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FAQ

Questions learners often ask

What does this CISSP question test?

Asset Security — This question tests Asset Security — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Implement automated data classification tools that scan for sensitive content and apply labels — Automated data classification tools (e.g., Microsoft Purview, Symantec DLP) use content inspection, pattern matching, and machine learning to scan data at rest, in use, and in transit. They apply consistent labels based on predefined policies (e.g., regex for PII, fingerprinting for IP), ensuring uniform labeling across all data types without relying on human consistency or manual effort.

What should I do if I get this CISSP question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

About these practice questions

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Last reviewed: Jun 24, 2026

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This CISSP practice question is part of Courseiva's free ISC2 certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the CISSP exam.