The answer is configuration drift from a known good baseline, as this metric directly measures deviations from an approved secure state, making it the most effective for detecting unauthorized changes. By continuously comparing current system configurations—such as file permissions, registry keys, or running services—against a trusted baseline, any unauthorized modification immediately generates an alert, aligning with the continuous monitoring principles emphasized in cloud security. On the CISSP exam, this concept tests your understanding of integrity-focused monitoring versus other metrics like performance or access logs, which may indicate issues but not specifically unauthorized changes. A common trap is choosing metrics like failed login attempts or network traffic anomalies, which detect symptoms rather than the root configuration change itself. Remember the mnemonic “Drift equals Defect” to recall that any drift from the baseline signals a potential security defect requiring investigation.
CISSP Security Assessment and Testing Practice Question
This CISSP practice question tests your understanding of security assessment and testing. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 company is implementing a continuous monitoring program for its cloud infrastructure. Which of the following metrics would be MOST useful for detecting unauthorized changes to production systems?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configuration drift from a known good baseline.
Configuration drift from a known good baseline is the most effective metric for detecting unauthorized changes because it directly compares the current state of production systems against a secure, approved baseline (e.g., using tools like AWS Config, Azure Policy, or Chef InSpec). Any deviation—such as altered file permissions, unexpected services, or modified registry keys—triggers an alert, enabling rapid detection of unauthorized modifications. This aligns with continuous monitoring principles in cloud security, focusing on integrity rather than performance or access patterns.
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.
✗
Network throughput between application tiers.
Why it's wrong here
Network throughput is a performance metric, not a change indicator.
✗
Average CPU load across all systems.
Why it's wrong here
CPU load is a performance metric, not directly related to unauthorized changes.
✗
Number of failed login attempts per hour.
Why it's wrong here
Failed logins indicate access attempts, not system changes.
✓
Configuration drift from a known good baseline.
Why this is correct
Configuration drift detection directly identifies unauthorized changes to system settings.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose 'Number of failed login attempts per hour' (Option C) because they associate monitoring with authentication events, but the question specifically targets unauthorized changes to production systems, which require integrity-focused metrics like configuration drift, not access attempts.
Detailed technical explanation
How to think about this question
Configuration drift detection relies on periodic or event-driven comparisons against a hardened baseline, often using cryptographic hashes (e.g., SHA-256) of critical files, registry keys, or system settings. In cloud environments, services like AWS Config Rules or Azure Policy evaluate resources against defined policies (e.g., requiring encryption at rest) and report non-compliant resources in real time. A real-world scenario: an attacker modifies an IAM role policy to grant excessive permissions; drift detection flags the change because the policy hash no longer matches the approved baseline, even if no performance or login anomalies occur.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this CISSP question in full detail.
Security Assessment and Testing — This question tests Security Assessment and Testing — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configuration drift from a known good baseline. — Configuration drift from a known good baseline is the most effective metric for detecting unauthorized changes because it directly compares the current state of production systems against a secure, approved baseline (e.g., using tools like AWS Config, Azure Policy, or Chef InSpec). Any deviation—such as altered file permissions, unexpected services, or modified registry keys—triggers an alert, enabling rapid detection of unauthorized modifications. This aligns with continuous monitoring principles in cloud security, focusing on integrity rather than performance or access patterns.
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.
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Question Discussion
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