Authentic Amazon Web Services Certification Exam SCS-C03 Questions Answers

Requirements and Correct Selections

Automatically collect evidence from AWS CloudTrail, AWS Config, and AWS Security Hub for an assessment report.

Correct Answer:

AWS Audit Manager controls

Why:

AWS Audit Manager is specifically designed toautomatically collect, map, and organize evidencefrom AWS services such as CloudTrail, AWS Config, and AWS Security Hub. Audit Manager controls are used within audit frameworks to continuously gather evidence and generate assessment reports for compliance audits.

Determine which IAM principals within the AWS account have access to a specified resource.

Correct Answer:

AWS Identity and Access Management Access Analyzer internal access analyzers

Why:

IAM Access Analyzer internal access analyzers are used toidentify which IAM users, roles, or services within an account or organization have access to a specific resource. This is a core access visibility and audit requirement for IAM reviews.

Download AWS security and compliance documents on demand.

Correct Answer:

AWS Artifact reports

Why:

AWS Artifact provideson-demand access to AWS security, compliance, and audit reports, including SOC reports, ISO certifications, and compliance attestations. This service is explicitly intended for audit preparation and regulatory documentation.

AWS CloudTrail provides authoritative records of KMS key creation, origin, and usage. Enabling log file validation ensures tamper detection. S3 Object Lock in compliance mode enforces immutability, which is a core audit requirement cited in AWS Certified Security – Specialty materials.

CloudWatch and DynamoDB do not provide immutable storage guarantees suitable for compliance evidence.

Referenced AWS Specialty Documents:

AWS Certified Security – Specialty Official Study Guide

AWS CloudTrail Log File Validation

Amazon S3 Object Lock

Amazon Macie’sautomated sensitive data discoveryis designed for exactly this: at scale, Macie continuously evaluates andsamplesobjects across S3 buckets to identify where sensitive data (PII, financial data, credentials, etc.) is likely present. This gives the security engineer a low-touch way toidentify which buckets contain sensitive datawithout having to orchestrate per-bucket scanning workflows. Once Macie flags buckets with sensitive data findings, the engineer can then prioritize and runadditional, more targeted scanning(for example, deeper classification jobs on those specific buckets) rather than scanning everything exhaustively all the time.

The other options increase operational burden significantly. CRR to another Region (A) doubles storage/transfer complexity and is not needed for discovery. An event-driven Lambda scan per object (B) is expensive and complex at high object volumes and is not how Macie classification is intended to be orchestrated. Aggregating results into DynamoDB (D) adds an extra system to maintain when Macie already provides centralized findings, dashboards, and integrations.

Therefore, enabling Macie automated discovery and then performing deeper scans only on buckets where Macie detects sensitive data provides the least administrative overhead.