Question 1,541 of 1,738
Threat Detection and Incident ResponseeasyMultiple SelectObjective-mapped

Quick Answer

The answer is Amazon GuardDuty and Amazon Macie. GuardDuty detects unauthorized S3 access by continuously analyzing S3 data events from CloudTrail, using machine learning and threat intelligence to identify anomalies like access from a known malicious IP or anonymous user patterns. Macie complements this by using machine learning and pattern matching to discover sensitive data in S3 buckets and alert on unauthorized access or policy changes that expose that data. On the AWS Certified Security Specialty SCS-C02 exam, this pairing tests your understanding of detective controls: GuardDuty focuses on behavioral threats and suspicious API activity, while Macie focuses on data classification and exposure risks. A common trap is selecting AWS Config or CloudTrail alone—these are logging and compliance tools, not dedicated threat detection services. Memory tip: GuardDuty guards the gate (unusual behavior), Macie minds the data (sensitive content).

SCS-C02 Threat Detection and Incident Response Practice Question

This SCS-C02 practice question tests your understanding of threat detection and incident response. 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.

Which TWO AWS services can be used to detect unauthorized access to an S3 bucket? (Select TWO.)

Question 1easymulti select
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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 threat detection service that continuously monitors for malicious activity and unauthorized behavior across AWS accounts and workloads. It uses machine learning, anomaly detection, and integrated threat intelligence to analyze S3 data events (e.g., GetObject, PutObject) logged via CloudTrail management and data events, identifying suspicious patterns such as unusual access from a known malicious IP address or an anonymous user gaining access to an S3 bucket.

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.

  • AWS WAF

    Why it's wrong here

    WAF protects web applications, not S3 access.

  • AWS CloudTrail

    Why it's wrong here

    CloudTrail logs API calls but does not detect unauthorized access.

  • Amazon GuardDuty

    Why this is correct

    GuardDuty includes S3 threat detection findings.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Amazon Macie

    Why this is correct

    Macie can detect suspicious access patterns to S3 buckets.

    Related concept

    Read the scenario before looking for a memorised answer.

  • AWS Config

    Why it's wrong here

    Config tracks resource configuration, not access patterns.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse AWS CloudTrail (a logging service) with a detection service, forgetting that CloudTrail only records events and does not analyze or alert on unauthorized access without additional services like GuardDuty or Amazon Detective.

Detailed technical explanation

How to think about this question

GuardDuty's S3 threat detection relies on CloudTrail management events (e.g., PutBucketPolicy) and data events (e.g., GetObject, ListBucket) to build a baseline of normal access patterns; it then flags anomalies such as a sudden spike in downloads from a new geographic location or access using temporary credentials from an unusual source IP. Amazon Macie uses machine learning and pattern matching to automatically discover, classify, and protect sensitive data in S3 buckets (e.g., PII, credentials), and it can alert on unauthorized access by detecting when sensitive data is exposed or accessed in an unexpected manner, such as a large number of objects being read by a new IAM role.

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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this SCS-C02 question test?

Threat Detection and Incident Response — This question tests Threat Detection and Incident Response — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Amazon GuardDuty — Amazon GuardDuty is a threat detection service that continuously monitors for malicious activity and unauthorized behavior across AWS accounts and workloads. It uses machine learning, anomaly detection, and integrated threat intelligence to analyze S3 data events (e.g., GetObject, PutObject) logged via CloudTrail management and data events, identifying suspicious patterns such as unusual access from a known malicious IP address or an anonymous user gaining access to an S3 bucket.

What should I do if I get this SCS-C02 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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Last reviewed: Jun 24, 2026

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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.