Quick Answer
Amazon GuardDuty is the correct choice because it is specifically designed to automatically detect anomalies in AWS CloudTrail logs using machine learning and integrated threat intelligence. Unlike general-purpose monitoring tools, GuardDuty continuously analyzes CloudTrail management and data events alongside VPC Flow Logs and DNS logs, applying anomaly detection models to identify unauthorized behavior, credential compromise, or suspicious API activity. On the AWS Certified AI Practitioner AIF-C01 exam, this question tests your understanding of which service is purpose-built for security anomaly detection rather than broader logging or analysis services like Amazon Detective or AWS CloudTrail itself. A common trap is confusing CloudTrail (the log source) with GuardDuty (the threat detection engine that consumes those logs). Remember the memory tip: GuardDuty is the guard that watches the duty logs—if it’s about spotting anomalies in CloudTrail, VPC Flow Logs, or DNS, think GuardDuty first.
This AIF-C01 practice question tests your understanding of fundamentals of ai and ml. 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. 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 wants to automatically detect anomalies in their AWS CloudTrail logs to identify potential security threats. Which AWS service is specifically designed for this purpose?
Amazon Macie
Why wrong: Macie discovers and protects sensitive data in S3.
AWS Config
Why wrong: Config evaluates resource compliance, not anomaly detection.
Amazon GuardDuty
GuardDuty uses ML to detect anomalies in CloudTrail logs and other sources.
Amazon Inspector
Why wrong: Inspector assesses vulnerabilities in EC2 instances and containers.
Answer choices
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 threat detection service that continuously monitors AWS accounts and workloads using machine learning, anomaly detection, and integrated threat intelligence. It specifically analyzes CloudTrail management and data events, VPC Flow Logs, and DNS logs to identify unauthorized behavior or potential security threats, making it the correct choice for automatically detecting anomalies in CloudTrail logs.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Amazon Macie
Why it's wrong here
Macie discovers and protects sensitive data in S3.
AWS Config
Why it's wrong here
Config evaluates resource compliance, not anomaly detection.
Amazon GuardDuty
Why this is correct
GuardDuty uses ML to detect anomalies in CloudTrail logs and other sources.
Related concept
Read the scenario before looking for a memorised answer.
Amazon Inspector
Why it's wrong here
Inspector assesses vulnerabilities in EC2 instances and containers.
Common exam traps
Cisco often tests the distinction between services that detect threats (GuardDuty) versus services that protect data (Macie), assess vulnerabilities (Inspector), or track configuration compliance (Config), leading candidates to confuse their primary use cases.
Detailed technical explanation
GuardDuty uses a combination of machine learning models, including neural networks and rule-based anomaly detection, to establish baselines of normal account activity and flag deviations. For CloudTrail logs, it processes events like unusual API calls, failed login attempts, and suspicious IAM role usage, correlating them with threat intelligence feeds from AWS and third-party sources. In a real-world scenario, GuardDuty can detect a compromised access key by identifying an API call pattern that deviates from the user's historical behavior, such as an IAM user suddenly making calls from an unusual geographic location.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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FAQ
Fundamentals of AI and ML — This question tests Fundamentals of AI and ML — Read the scenario before looking for a memorised answer..
The correct answer is: Amazon GuardDuty — Amazon GuardDuty is a threat detection service that continuously monitors AWS accounts and workloads using machine learning, anomaly detection, and integrated threat intelligence. It specifically analyzes CloudTrail management and data events, VPC Flow Logs, and DNS logs to identify unauthorized behavior or potential security threats, making it the correct choice for automatically detecting anomalies in CloudTrail logs.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 25, 2026
This AIF-C01 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 AIF-C01 exam.
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