SCS-C03 Exam Dumps - AWS Certified Security – Specialty

Amazon CloudWatch Logs is designed to collect, store, and analyze log data from ephemeral compute resources such as EC2 instances in Auto Scaling groups. According to the AWS Certified Security – Specialty Study Guide, using the CloudWatch agent to stream logs off instances ensures log durability even when instances are terminated during scale-in events.

CloudWatch Logs Insights provides a fully managed, serverless query engine that enables ad hoc querying, filtering, and aggregation of log data without requiring additional infrastructure. This directly satisfies the requirement to query logs for application sessions and user troubleshooting.

Option A introduces operational risk because logs could be lost between cron executions. Option B requires additional services and data pipelines, increasing cost and complexity. Option E adds storage cost and management overhead and is not necessary for log analytics.

AWS best practices recommend CloudWatch Logs and Logs Insights as the most cost-effective and scalable solution for centralized log retention and analysis in Auto Scaling environments.

Referenced AWS Specialty Documents:

AWS Certified Security – Specialty Official Study Guide

Amazon CloudWatch Logs and Logs Insights

AWS Logging Best Practices

AWS WAF supports logging of detailed HTTP request information, including source IP addresses, request URIs, headers, and rule evaluation results. According to the AWS Certified Security – Specialty documentation,Amazon S3 combined with Amazon Athenais the recommended and most cost-effective solution for ad hoc and forensic analysis of AWS WAF logs.

By configuring AWS WAF to deliver logs to Amazon S3 and usingAthena with partition projection, the security engineer can efficiently query large volumes of log data without maintaining partitions manually. This enables rapid identification of application-layer attacks such as SQL injection, cross-site scripting, and bot activity.

Options A and D are incorrect because AWS WAF logs are not delivered to CloudTrail. Option B is invalid because OpenSearch cannot directly query data stored in S3 without ingestion or additional tooling.

AWS documentation highlightsS3 + Athenaas a best practice for scalable, serverless analysis of AWS WAF logs.

AWS Certified Security – Specialty Official Study Guide

AWS WAF Logging Documentation

Amazon Athena Best Practices

VPC Flow Logs require an IAM role that CloudWatch Logs can use to publish flow log records. AWS documentation and AWS Certified Security – Specialty materials explain that the VPC Flow Logs service must be able to assume the IAM role through its trust policy. The trust relationship must include the service principal vpc-flow-logs.amazonaws.com. If the trust policy does not allow this principal to assume the role, flow logs cannot be delivered and no records will appear in the CloudWatch Logs log group even when traffic exists. logs:GetLogEvents is not required for delivery; it is used for reading logs. The security engineer’s ability to assume the role is not relevant because the service, not the engineer, assumes it. Tagging permissions are not required for basic log delivery. Therefore, the most likely cause is an incorrect trust policy that prevents the VPC Flow Logs service principal from assuming the role.

Referenced AWS Specialty Documents:

AWS Certified Security – Specialty Official Study Guide

Amazon VPC Flow Logs IAM Role Requirements

IAM Trust Policies for AWS Services

GuardDuty’s DNS-related detections depend on GuardDuty being able to observeDNS query behaviorthrough AWS-provided DNS resolution paths in the VPC. If a VPC is configured to use acustom DNS resolvervia DHCP options (for example, an OpenDNS resolver) instead of the AmazonProvidedDNS resolver, DNS queries may bypass the visibility path GuardDuty relies on for DNS analysis and pattern detection. In that case, the test traffic (queries to example.com) might not be evaluated by GuardDuty’s DNS finding logic, so no DNS finding is generated—and therefore nothing is forwarded into Security Hub.

Option A is incorrect because VPC flow logs are not a prerequisite for GuardDuty to produce DNS findings; GuardDuty uses native telemetry sources and does not require customer-managed flow logs to be enabled. Option D is irrelevant because the company operates in a single Region, and cross-Region aggregation would not be required for the delegated administrator to see findings from the same Region. Option C is less likely given the setup explicitly states GuardDuty and Security Hub are automatically enabled across accounts; also, even if enabled, the specific lack of a DNS finding points to DNS visibility/configuration rather than a downstream integration toggle.

Step 1:Obtain the SAML metadata fromIAM Identity Center.

Step 2:Obtain the SAML metadata from theexternal IdP.

Step 3:Configure theexternal IdP as the identity sourceinIAM Identity Center.

When integratingAWS IAM Identity Center (formerly AWS SSO)with anexternal identity provider (IdP)usingSAML 2.0, AWS requires a specific sequence of steps to establish trust and federation correctly.

Step 1: Obtain the SAML metadata from IAM Identity Center

IAM Identity Center acts as theservice provider (SP)in the SAML trust. The external IdP must trust IAM Identity Center, so the IdP needs IAM Identity Center’s SAML metadata first. This metadata contains critical information such as the SP entity ID, ACS (Assertion Consumer Service) URL, and signing certificate. Without this metadata, the external IdP cannot be configured to send assertions to AWS.

Step 2: Obtain the SAML metadata from the external IdP

After the external IdP is configured to trust IAM Identity Center, the IdP generates its own SAML metadata. This metadata includes the IdP entity ID, SSO endpoint, and signing certificate. IAM Identity Center requires this information to validate authentication assertions coming from the external IdP.

Step 3: Configure the external IdP as the identity source in IAM Identity Center

Once both metadata files are available, the security engineer configures the external IdP as theidentity sourcein IAM Identity Center. At this stage, IAM Identity Center imports the IdP metadata and establishes the SAML trust relationship. After this configuration, users authenticated by the external IdP can be federated into AWS accounts and applications via IAM Identity Center.

Why the other options are incorrect:

Creating an IAM role with an IdP API endpoint is used forIAM federation, not IAM Identity Center.

Automatic provisioning (SCIM) is optional and is configuredafterSAML federation is established.

Automatic provisioning must be enabled onboth sides, but it is not required to complete the core IdP integration.

This sequence follows AWS best practices for SAML-based federation with IAM Identity Center.

AWS WAF logs contain detailed request-level information, including source IP addresses, requested URIs, and rule matches. According to AWS Certified Security – Specialty guidance, enabling AWS WAF logging provides the most reliable and tamper-resistant method to investigate web-based attacks, especially when instance-level logs are unavailable.

By streaming WAF logs through Amazon Kinesis Data Firehose to Amazon S3, the company ensures durable, centralized log storage that is independent of EC2 lifecycle events. Amazon Athena can then query the logs efficiently to identify repeated requests to the new-user-creation.php endpoint and extract attacker IP addresses.

VPC Flow Logs do not capture HTTP-level details. ALB access logs alone may not capture blocked requests. WAF logs provide the best forensic visibility for future detection.

Referenced AWS Specialty Documents:

AWS Certified Security – Specialty Official Study Guide

AWS WAF Logging and Monitoring

Amazon Athena Log Analysis

To enforce encryption in transit for Amazon S3, AWS best practice is to require HTTPS (TLS) by using a bucket policy condition that denies any request where aws:SecureTransport is false. The requirement includes both existing buckets and future buckets, so the control must continuously evaluate configuration drift and automatically remediate. AWS Config is the service intended for continuous configuration compliance monitoring across resources, and AWS Config managed rules provide standardized checks with low operational overhead. The s3-bucket-ssl-requests-only managed rule evaluates whether S3 buckets enforce SSL-only requests, aligning directly with enforcing encryption in transit. Setting the trigger type to Hybrid ensures evaluation both on configuration changes and periodically. Automatic remediation with an AWS Systems Manager Automation runbook allows the organization to apply or correct the bucket policy consistently at scale without manual work. This approach also supports governance by maintaining a measurable compliance status while actively fixing noncompliance. Option A is not the best fit because a “proactive” custom policy rule does not by itself remediate existing buckets and “block resource creation” is not how AWS Config enforces controls. Option C is incorrect because Amazon Inspector is a vulnerability management service and does not govern S3 bucket transport policies. Option D is inefficient and indirect because CloudTrail data events are not a compliance engine and would require custom processing.

Referenced AWS Specialty Documents:

AWS Certified Security – Specialty Official Study Guide

AWS Config Managed Rules for S3 Compliance

Amazon S3 Security Best Practices for SSL-only Access

For the earliest detection of abnormal spend, the most direct and purpose-built capability isAWS Cost Anomaly Detection. It continuously evaluates spend patterns and uses machine learning to identify unexpected cost increases soon after they begin, then sends alerts based on the configured thresholds. By creating acost monitor(for example, for linked accounts, services, or cost categories) and configuring an alert to publish toSNS, the security team can receive near-real-time notifications when costs deviate beyond an expected baseline. This is well suited for detecting compromise-driven spend (such as abused EC2 instances serving phishing pages, crypto-mining, or data exfiltration patterns that raise transfer costs).

Option A introduces significant operational overhead and delays because billing/usage exports are not guaranteed to be updated on an hourly cadence in a way that consistently outperforms the native anomaly detector, and the company would be maintaining custom analytics logic. Option C is explicitly slower (daily manual review). Option D may detect suspicious traffic but is indirect for “earliest cost increase” detection and depends on building/operating a separate analytics pipeline; also, not all cost anomalies are visible from flow logs. Therefore, Cost Anomaly Detection provides the fastest and lowest-overhead alerting for unexpected spend.