- A
AWS Config
Why wrong: AWS Config evaluates resource configurations against rules but does not use AI for security recommendations; it is rule-based.
- B
Amazon GuardDuty
Correct: Amazon GuardDuty uses ML to detect security anomalies and provides findings with recommendations, matching the description.
- C
Amazon DevOps Guru
Why wrong: Amazon DevOps Guru is an operational service for detecting performance and availability anomalies, not security threats.
- D
Amazon Inspector
Why wrong: Amazon Inspector assesses vulnerabilities and network exposures but relies on known vulnerability databases and rules, not AI-driven anomaly detection for security recommendations.
Question 897 of 1,024
CLF-C02 Amazon GuardDuty Practice Question
This CLF-C02 practice question tests your understanding of security and compliance. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. A key principle to apply: amazon GuardDuty. 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 AWS service provides a finding-based security recommendations service that uses AI to identify operational issues and anomalies, going beyond simple rule-based Config checks?
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
✓
Amazon GuardDuty
Amazon GuardDuty is a security monitoring service that uses machine learning to analyze AWS logs (CloudTrail, VPC Flow Logs, DNS) and identifies threats, anomalies, and suspicious behavior. It provides findings and security recommendations, going beyond simple rule-based checks like AWS Config by using AI to detect patterns indicative of security issues. Amazon DevOps Guru focuses on operational health, not security, so it does not match the 'security recommendations' description.
Key principle: Amazon GuardDuty
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AWS Config
Why it's wrong here
AWS Config evaluates resource configurations against rules but does not use AI for security recommendations; it is rule-based.
- ✓
Amazon GuardDuty
Why this is correct
Correct: Amazon GuardDuty uses ML to detect security anomalies and provides findings with recommendations, matching the description.
Related concept
Amazon GuardDuty
- ✗
Amazon DevOps Guru
Why it's wrong here
Amazon DevOps Guru is an operational service for detecting performance and availability anomalies, not security threats.
- ✗
Amazon Inspector
Why it's wrong here
Amazon Inspector assesses vulnerabilities and network exposures but relies on known vulnerability databases and rules, not AI-driven anomaly detection for security recommendations.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Candidates may confuse Amazon DevOps Guru's operational anomaly detection with security anomaly detection, but DevOps Guru is not a security service. GuardDuty is the correct security service using AI for threat detection.
Detailed technical explanation
How to think about this question
Amazon DevOps Guru uses a trained machine learning model that ingests metrics from Amazon CloudWatch, AWS CloudTrail logs, and application-level telemetry to establish baselines of normal behavior. When it detects deviations, such as a sudden spike in latency or error rates, it generates insights with recommended remediation actions, often linking to related AWS resources. For example, in a real-world scenario, DevOps Guru might identify a memory leak in an Amazon RDS instance by correlating increased swap usage with application slowdowns, then suggest scaling or query optimization.
KKey Concepts to Remember
- Amazon GuardDuty
- ML-based threat detection
- Findings and recommendations
- Anomaly detection
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
Amazon GuardDuty
Real-world example
How this comes up in practice
A healthcare organisation deploys an application with a public-facing web tier and a private database tier. The database subnet has no public IP and only accepts connections from the web tier's security group. Questions like this test whether you can design cloud network isolation using VNets/VPCs, subnets, and security group rules.
What to study next
Got this wrong? Here's your next step.
Review amazon GuardDuty, then practise related CLF-C02 questions on the same topic to reinforce the concept.
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Security and Compliance — study guide chapter
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FAQ
Questions learners often ask
What does this CLF-C02 question test?
Security and Compliance — This question tests Security and Compliance — Amazon GuardDuty.
What is the correct answer to this question?
The correct answer is: Amazon GuardDuty — Amazon GuardDuty is a security monitoring service that uses machine learning to analyze AWS logs (CloudTrail, VPC Flow Logs, DNS) and identifies threats, anomalies, and suspicious behavior. It provides findings and security recommendations, going beyond simple rule-based checks like AWS Config by using AI to detect patterns indicative of security issues. Amazon DevOps Guru focuses on operational health, not security, so it does not match the 'security recommendations' description.
What should I do if I get this CLF-C02 question wrong?
Review amazon GuardDuty, then practise related CLF-C02 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Amazon GuardDuty
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Last reviewed: Jun 11, 2026
This CLF-C02 practice question is part of Courseiva's free Amazon Web Services 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 CLF-C02 exam.
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