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CCSP Practice Question: Which TWO of the following are effective…
Which TWO of the following are effective strategies for protecting sensitive data in a public cloud environment?
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
✓
Data masking to obscure sensitive fields in non-production environments.
Data masking (option D) and tokenization (option E) are both effective data protection techniques for public cloud environments. Data masking obscures sensitive fields in non-production environments, while tokenization replaces sensitive data with non-sensitive placeholders. Options A, B, and C are insecure or poor practices.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Using the same encryption key for all data to simplify key management.
Why it's wrong here
Using a single key increases risk; should use different keys for different data classifications.
- ✗
Storing encryption keys in the same storage bucket as the encrypted data.
Why it's wrong here
Insecure; keys should be stored separately.
- ✗
Consolidating all sensitive data into a single storage bucket for easier management.
Why it's wrong here
Creates a single point of failure and violates least privilege.
- ✓
Data masking to obscure sensitive fields in non-production environments.
Why this is correct
Correct. Data masking protects data in development and testing.
- ✓
Tokenization to replace sensitive data with non-sensitive placeholders.
Why this is correct
Correct. Tokenization reduces exposure of sensitive data.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.