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Amazon SCS-C03 Exam Syllabus Topics:

Section	Weight	Objectives
Infrastructure Security	20%	- Network security 1. Security groups and NACLs 2. VPC design and segmentation - Compute security 1. Container security (ECS/EKS basics) 2. EC2 instance hardening
Threat Detection and Incident Response	14%	- Detection mechanisms 1. AWS Security Hub findings aggregation 2. Amazon GuardDuty threat detection - Incident response procedures 1. Automate response using AWS services (Lambda, CloudWatch, EventBridge) 2. Identify and investigate security incidents in AWS environments
Management, Governance and Compliance	14%	- Compliance and auditing 1. AWS Artifact compliance reports 2. Security best practices alignment (CIS, NIST) - Governance frameworks 1. AWS Organizations and SCPs 2. Multi-account security strategy
Identity and Access Management	16%	- AWS IAM fundamentals 1. Least privilege access design 2. Users, groups, roles, and policies - Federation and access control 1. Federated identity with SAML/OIDC 2. IAM Identity Center (SSO)
Data Protection	18%	- Data security services 1. Amazon S3 security controls 2. Secrets Manager and Parameter Store - Encryption and key management 1. AWS KMS key management 2. Encryption at rest and in transit
Logging and Monitoring	18%	- Monitoring and alerting 1. Centralized security monitoring strategies 2. Amazon CloudWatch metrics and alarms - Audit logging 1. AWS CloudTrail logging and analysis 2. AWS Config configuration tracking

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Quiz 2026 Amazon SCS-C03: High Pass-Rate AWS Certified Security - Specialty Paper

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Amazon AWS Certified Security - Specialty Sample Questions (Q94-Q99):

NEW QUESTION # 94
A security engineer must investigate an Amazon GuardDuty finding. The finding indicates potential cryptocurrency mining activity on an Amazon EC2 instance. The security engineer must validate the finding and assess the impact.
Which data sources should the security engineer analyze to meet these requirements?

A. Review the instance's process details that relate to the finding. Examine DNS queries to known mining domains. Analyze the instance's outbound network connections by using VPC Flow Logs.
B. Count the number of GuardDuty findings associated with the instance. Verify the instance's launch time. Check AWS Security Hub CSPM for any related alerts.
C. Check the instance's CPU utilization metrics in Amazon CloudWatch. Examine the finding's MITRE ATT & CK tactic classification. Review any associated IAM role permissions.
D. Examine the instance's AWS Systems Manager session history. Verify Amazon Route 53 DNS records.Review GuardDuty severity levels.

Answer: A

Explanation:
Comprehensive and Detailed 100to 150 words of Explanation From AWS Certified Security - Specialty topics:
Cryptocurrency mining validation requires evidence of actual mining behavior, not only metadata about the finding. Process details show whether mining binaries or suspicious processes are running on the instance.
DNS analysis can reveal lookups to known mining pools or suspicious domains. VPC Flow Logs help confirm outbound connections, destinations, ports, and traffic volume from the instance. GuardDuty uses foundational data sources such as DNS logs, VPC Flow Logs, and CloudTrail events to detect suspicious activity, so those same sources are appropriate for validating and scoping the finding. CPU metrics alone are useful context but not enough. Counting findings or checking severity does not prove impact. Session history and Route 53 records do not directly validate mining behavior.

NEW QUESTION # 95
CloudFormation stack deployments fail for some users due to permission inconsistencies. Which combination of steps will ensure consistent deployments MOST securely? (Select THREE.)

A. Create a composite principal service role.
B. Attach scoped policies to the service role.
C. Update each stack to use the service role.
D. Create a service role with cloudformation.amazonaws.com as the principal.
E. Allow iam:PassRole to the service role.
F. Attach service ARNs in policy resources.

Answer: C,D,E

Explanation:
AWS best practices require CloudFormation to assume a dedicated service role. This ensures consistent permissions regardless of the user. Users must have iam:PassRole permission to pass the role. Updating stacks to use the service role enforces uniform deployment behavior.

NEW QUESTION # 96
A company has an Amazon RDS database. The database contains sensitive data that is shared across teams in the company. The company needs a solution to detect anomalous logins to the database. The solution must notify an existing Amazon SNS topic when anomalous logins occur.
Which solution will meet these requirements?

A. Enable Amazon GuardDuty and configure GuardDuty RDS Protection. Create an Amazon EventBridge rule to monitor GuardDuty findings of anomalous logins. Configure the SNS topic as the target of the EventBridge rule.
B. Enable AWS AppFabric. Connect AWS AppFabric to the RDS DB instance. Create an Amazon Data Firehose stream as the destination for the AWS AppFabric findings. Create an AWS Lambda function that is invoked by the Firehose stream to publish a message to the SNS topic.
C. Enable Amazon Inspector. Create an Amazon EventBridge rule to monitor Amazon Inspector findings of anomalous logins. Configure the SNS topic as the target of the EventBridge rule.
D. Use AWS Trusted Advisor security checks for Amazon RDS. Create an Amazon EventBridge rule to monitor the security checks for status changes. Configure the EventBridge rule to invoke an AWS Lambda function to publish a message to the SNS topic.

Answer: A

Explanation:
GuardDuty RDS Protection is the AWS threat-detection feature designed to detect suspicious and anomalous activity involving supported Amazon RDS databases, including anomalous login behavior. GuardDuty findings are automatically published to EventBridge, and EventBridge rules can route selected finding types or severities to SNS for notification. This directly satisfies both detection and alerting requirements with minimal custom code. Trusted Advisor checks general account and configuration best practices; it does not perform database-login anomaly detection.
AppFabric is for SaaS application security data normalization, not RDS login monitoring. Amazon Inspector is a vulnerability management service and does not detect database login anomalies.
Therefore, GuardDuty RDS Protection plus EventBridge to SNS is the correct security-monitoring pattern.

NEW QUESTION # 97
A company is investigating actions that an IAM role performed. The company must find out when the role last accessed AWS Security Hub and when the role last used the DeleteInsight action in Security Hub. Which solution will provide this information?

A. Use the Access Advisor tab in AWS Identity and Access Management (IAM). Search for Security Hub and the actions taken.
B. Use the checks for the security category in AWS Trusted Advisor. Search for the role and examine the actions taken.
C. Create an analyzer in AWS Identity and Access Management Access Analyzer. Examine the findings for the role's actions in Security Hub.
D. Use AWS Identity and Access Management (IAM) to generate a credential report. Search the report for Security Hub activity.

Answer: A

Explanation:
The Access Advisor feature in IAM provides information about the services that an IAM role or user has accessed and the last time they accessed each service. This feature shows when the IAM role last accessed AWS Security Hub. To find specific actions like DeleteInsight, you can review CloudTrail logs, but Access Advisor is the first step to quickly see the last access to the service.

NEW QUESTION # 98
A company stores sensitive data in AWS Secrets Manager. A security engineer needs to design a solution to generate a notification email when anomalous GetSecretValue API calls occur. The security engineer has configured an Amazon EventBridge rule for all Secrets Manager events that AWS CloudTrail delivers. Which solution will meet these requirements?

A. Configure Amazon CloudWatch Logs as the target of the EventBridge rule. Set up a metric filter on the IncomingBytes metric and enable anomaly detection. Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure a CloudWatch alarm that uses the SNS topic to send the notification.
B. Configure CloudTrail as the target of the EventBridge rule. Set up an attribute filter on the IncomingBytes attribute and enable anomaly detection.
Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure a CloudTrail alarm that uses the SNS topic to send the notification.
C. Configure Amazon CloudWatch Logs as the target of the EventBridge rule. Use CloudWatch Logs Insights query syntax to search for anomalous GetSecretValue API calls. Create an Amazon Simple Queue Service (Amazon SQS) queue. Configure a CloudWatch alarm that uses the SQS queue to send the notification.
D. Configure CloudTrail as the target of the EventBridge rule. Set up an attribute filter on the IncomingBytes attribute and enable anomaly detection.
Create an Amazon Simple Queue Service (Amazon SQS) queue. Configure a CloudTrail alarm that uses the SQS queue to send the notification.

Answer: A

Explanation:
To monitor for anomalous GetSecretValue API calls and trigger notifications, the solution needs to capture the relevant events, filter them for anomalies, and send alerts. By using Amazon CloudWatch Logs as the target for the EventBridge rule, the security engineer can create a CloudWatch Logs metric filter on relevant API call data (such as IncomingBytes), enabling anomaly detection to spot unusual activity.
Then, an Amazon SNS topic can be configured to distribute alerts when a CloudWatch alarm (based on the metric filter) is triggered. This setup is efficient for detecting anomalous patterns in API calls and notifying the team via email.

NEW QUESTION # 99
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