This CCSP practice question tests your understanding of cloud data 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.
Which TWO statements about data classification are correct?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Data classification can be based on context and content.
Option C is correct because data classification can be based on both context (e.g., source, creator, location) and content (e.g., keywords, patterns, data values). This dual approach allows organizations to apply classification rules that consider the environment and the actual data, enabling more accurate and granular protection. For example, a document containing a credit card number (content) created by the finance department (context) could be classified as 'Confidential'.
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.
✗
Data classification is performed once at creation.
Why it's wrong here
Classification is a continuous process as data evolves.
✗
Data classification must be automated to be effective.
Why it's wrong here
Manual classification can be effective, especially in small environments.
✓
Data classification can be based on context and content.
Why this is correct
Classification uses both content inspection and contextual metadata.
Related concept
Read the scenario before looking for a memorised answer.
✗
Data classification is solely based on regulatory requirements.
Why it's wrong here
Classification also considers business impact, confidentiality, and internal policies.
✓
Data classification labels determine access controls.
Why this is correct
Classification labels are used to enforce access policies based on sensitivity.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
ISC2 often tests the misconception that data classification is a static, one-time activity (Option A) or that automation is mandatory (Option B), when in reality classification is a continuous process and can be manual or hybrid.
Detailed technical explanation
How to think about this question
Under the hood, content-based classification often uses regular expressions, fingerprinting, or machine learning models to scan for patterns like Social Security numbers (e.g., \d{3}-\d{2}-\d{4}) or credit card numbers (Luhn algorithm). Context-based classification might rely on metadata such as file owner, application origin, or geolocation tags. In real-world scenarios, a cloud DLP solution like AWS Macie or Microsoft Purview combines both approaches: it can classify an S3 object as 'Sensitive' if it contains PII (content) and was uploaded from a non-corporate IP address (context), triggering automated access controls.
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 developer is choosing between AES-256 (symmetric) and RSA-2048 (asymmetric) for encrypting a large file that will be sent to a partner. Symmetric encryption is fast but requires key exchange; asymmetric is slower but solves the key distribution problem. A hybrid approach — encrypt the file with AES, encrypt the AES key with RSA — is standard. Questions like this test whether you understand when each approach applies.
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.
Cloud Data Security — This question tests Cloud Data Security — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Data classification can be based on context and content. — Option C is correct because data classification can be based on both context (e.g., source, creator, location) and content (e.g., keywords, patterns, data values). This dual approach allows organizations to apply classification rules that consider the environment and the actual data, enabling more accurate and granular protection. For example, a document containing a credit card number (content) created by the finance department (context) could be classified as 'Confidential'.
What should I do if I get this CCSP 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.
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This CCSP 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 CCSP exam.
Question Discussion
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