SCS-C02 Data Protection Practice Question
A company wants to automate the detection of sensitive data in an S3 bucket. Which AWS service should be used?
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 Macie
Amazon Macie uses machine learning to discover and classify sensitive data, making it the correct choice for automated detection of sensitive data in S3. AWS Artifact provides compliance reports, Amazon Inspector assesses vulnerabilities, and Amazon GuardDuty detects threats—none specifically focus on sensitive data detection.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Amazon Macie
Why this is correct
Amazon Macie is a fully managed data security service that uses machine learning and pattern matching to automatically discover, classify, and protect sensitive data stored in S3. It identifies data types such as personally identifiable information (PII), financial data, and credentials, then surfaces findings in dashboards and EventBridge events. For this use case, Macie is correct because it continuously scans and reports on sensitive data without requiring custom tooling or manual inspection.
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AWS Artifact
Why it's wrong here
AWS Artifact is not a detection system but a self-service compliance portal that provides on-demand access to AWS compliance reports, including SOC, ISO, PCI, and other audit artifacts. It delivers documentation and legal agreements to support customer compliance requirements, not automated identification of sensitive data. Therefore, Artifact is incorrect because it offers evidence of compliance, not actual discovery or classification of sensitive content.
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Amazon Inspector
Why it's wrong here
Amazon Inspector is a vulnerability management service that assesses workloads such as EC2 instances, ECR container images, and Lambda functions for software vulnerabilities and unintended network exposure. It focuses on security posture against CVEs and network reachability, not on inspecting data objects for sensitive content like PII. Inspector is therefore wrong because it evaluates infrastructure risk, not the sensitivity of data stored or processed.
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Amazon GuardDuty
Why it's wrong here
Amazon GuardDuty performs continuous threat detection using machine learning and anomaly detection to identify malicious activity, such as compromised credentials, crypto-mining, or exfiltration attempts. It analyzes AWS CloudTrail logs, VPC Flow Logs, and DNS logs to detect threats, not to classify the content of stored data. GuardDuty is incorrect for this scenario because it detects security threats, not sensitive data classification, even though it might flag the aftermath of a data breach.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This SCS-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 SCS-C02 exam.