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Amazon SCS-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	Detection: This domain covers identifying and monitoring security events, threats, and vulnerabilities in AWS through logging, monitoring, and alerting mechanisms to detect anomalies and unauthorized access.
Topic 2	Identity and Access Management: This domain deals with controlling authentication and authorization through user identity management, role-based access, federation, and implementing least privilege principles.
Topic 3	Infrastructure Security: This domain focuses on securing AWS infrastructure including networks, compute resources, and edge services through secure architectures, protection mechanisms, and hardened configurations.
Topic 4	Incident Response: This domain addresses responding to security incidents through automated and manual strategies, containment, forensic analysis, and recovery procedures to minimize impact and restore operations.
Topic 5	Data Protection: This domain centers on protecting data at rest and in transit through encryption, key management, data classification, secure storage, and backup mechanisms.

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Amazon AWS Certified Security - Specialty Sample Questions (Q48-Q53):

NEW QUESTION # 48
A company's security policy requires all Amazon EC2 instances to use the Amazon Time Sync Service. AWS CloudTrail trails are enabled in all of the company's AWS accounts. VPC flow logs are enabled for all VPCs.
A security engineer must identify any EC2 instances that attempt to use Network Time Protocol (NTP) servers on the internet.
Which solution will meet these requirements?

A. Monitor CloudTrail logs for API calls to the Amazon Time Sync Service.
B. Monitor CloudTrail logs for API calls to non-standard time servers.
C. Monitor VPC flow logs for traffic to non-standard time servers.
D. Monitor VPC flow logs for traffic to the Amazon Time Sync Service.

Answer: C

Explanation:
To identify EC2 instances attempting to use Network Time Protocol (NTP) servers on the internet instead of the Amazon Time Sync Service, monitoring VPC flow logs is appropriate. VPC flow logs capture details about traffic to and from EC2 instances, including any traffic directed to external NTP servers. By analyzing these logs for traffic to non-standard time servers (IP addresses other than the Amazon Time Sync Service endpoint ), the security engineer can identify instances that are not complying with the company's policy.
169.254.169.123

NEW QUESTION # 49
A security engineer needs to implement a solution to identify any sensitive data that is stored in an Amazon S3 bucket. The solution must report on sensitive data in the S3 bucket by using an existing Amazon Simple Notification Service (Amazon SNS) topic. Which solution will meet these requirements with the LEAST implementation effort?

A. Enable AWS Config. Configure AWS Config to monitor for sensitive data in the S3 bucket and to send notifications to the SNS topic.
B. Configure Amazon Macie to use managed data identifiers to identify and categorize sensitive data. Create an Amazon EventBridge rule to send notifications to the SNS topic.
C. Create an AWS Lambda function to scan the S3 bucket for sensitive data that matches a pattern.
Program the Lambda function to send notifications to the SNS topic.
D. Enable Amazon GuardDuty. Configure AWS CloudTrail S3 data events. Create an Amazon CloudWatch alarm that reacts to GuardDuty findings and sends notifications to the SNS topic.

Answer: B

Explanation:
Amazon Macie is the AWS service designed specifically to discover, classify, and report sensitive data stored in Amazon S3. According to the AWS Certified Security - Specialty Study Guide, Macie uses machine learning and managed data identifiers to automatically detect sensitive data types such as PII and financial information.
Macie integrates natively with Amazon EventBridge, allowing findings to be routed to other services such as Amazon SNS with minimal configuration. Creating an EventBridge rule to forward Macie findings to an existing SNS topic satisfies the notification requirement without custom code.
Option A is invalid because AWS Config does not inspect object contents. Option B requires custom development and ongoing maintenance. Option D is incorrect because Amazon GuardDuty focuses on threat detection, not sensitive data discovery.
AWS documentation emphasizes Macie as the lowest-effort and most accurate solution for sensitive data identification in S3.

NEW QUESTION # 50
A security engineer needs to prepare Amazon EC2 instances for quarantine during a security incident. AWS Systems Manager Agent (SSM Agent) is installed, and a script exists to install and update forensic tools.
Which solution will quarantine EC2 instances during a security incident?

A. Store the script in Amazon S3 and grant read access.
B. Track SSM Agent versions with AWS Config.
C. Configure IAM permissions for the SSM Agent to run the script as a Systems Manager Run Command document.
D. Configure Session Manager to deny external connections.

Answer: C

Explanation:
AWS Systems Manager Run Command enables secure, remote execution of commands on EC2 instances without requiring network access or inbound ports. According to the AWS Certified Security - Specialty Study Guide, Run Command is a recommended mechanism for incident response actions such as installing forensic tools, collecting evidence, or applying quarantine controls.
By granting the SSM Agent permission to execute a predefined Run Command document, the security engineer can immediately run the quarantine script across affected instances. This approach supports automation, scalability, and auditability, all of which are critical during security incidents.
Options A, B, and C do not directly enforce quarantine or execute response actions. Tracking versions and storing scripts alone do not trigger incident response.
AWS documentation highlights Systems Manager Run Command as a core capability for automated containment and investigation.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
AWS Systems Manager Run Command
AWS Incident Response Automation

NEW QUESTION # 51
A security engineer is troubleshooting an AWS Lambda function that is namedMyLambdaFunction. The function is encountering an error when the function attempts to read the objects in an Amazon S3 bucket that is namedDOC-EXAMPLE-BUCKET. The S3 bucket has the following bucket policy:
{
" Effect " : " Allow " ,
" Principal " : { " Service " : " lambda.amazonaws.com " },
" Action " : " s3:GetObject " ,
" Resource " : " arn:aws:s3:::DOC-EXAMPLE-BUCKET " ,
" Condition " : {
" ArnLike " : {
" aws:SourceArn " : " arn:aws:lambda:::function:MyLambdaFunction "
}
}
}
Which change should the security engineer make to the policy to ensure that the Lambda function can read the bucket objects?

A. Remove the Condition element. Change the Principal element to the following:{ " AWS " : " arn:aws:
lambda:::function:MyLambdaFunction " }
B. Change the Resource element to " arn:aws:s3:::DOC-EXAMPLE-BUCKET/* " .
C. Change the Action element to the following:[ " s3:GetObject* " , " s3:GetBucket* " ]
D. Change the Resource element to " arn:aws:lambda:::function:MyLambdaFunction " . Change the Principal element to the following:{ " Service " : " s3.amazonaws.com " }

Answer: B

Explanation:
The policy currently grants s3:GetObject but targets thebucket ARN(arn:aws:s3:::DOC-EXAMPLE- BUCKET). For Amazon S3, object-level actions such asGetObjectmust referenceobject ARNs, not the bucket ARN. The correct resource pattern is the bucket ARNwith /*appended (for example, arn:aws:s3:::DOC- EXAMPLE-BUCKET/*) so the permission applies to objects within the bucket. Without this, S3 evaluates the request against a resource that does not match the requested object, resulting in an access denial even though the action appears correct.
The other options do not address the root cause. Expanding actions (Option B) is unnecessary and overly permissive, and it still would not fix the incorrect resource ARN for object reads. Changing principals or removing conditions (Option A) is not required just to allow reads-Lambda typically accesses S3 using the function'sexecution role, and bucket policies are commonly used for cross-account or service-based access control, but the immediate failure here is the mismatch between s3:GetObject and the bucket-only resource.
Option D is invalid because it inverts principal/service usage and sets an incorrect resource type for S3 authorization.

NEW QUESTION # 52
A security engineer needs to protect a public web application that runs in a VPC. The VPC hosts the origin for an Amazon CloudFront distribution. The application has experienced multiple layer 7 DDoS attacks. An AWS WAF web ACL is associated with the CloudFront distribution. The web ACL contains one AWS managed rule to protect against known IP addresses that have bad reputations.
The security engineer must configure an automated solution that detects and mitigates layer 7 DDoS attacks in real time with no manual effort.
Which solution will meet these requirements?

A. Add a rate-based rule to the web ACL. Enable AWS Shield Advanced. Enable automatic application layer DDoS mitigation on the CloudFront distribution.
B. Deploy AWS Network Firewall in the VPC. Create security policies that detect DDoS indicators.
Create an AWS Lambda function to automatically update the web ACL rules during an attack.
C. Enable AWS Shield Advanced on the CloudFront distribution. Configure alerts in Amazon CloudWatch for DDoS indicators.
D. Enable AWS Shield Advanced and configure proactive engagement with the AWS DDoS Response Team (DRT).

Answer: A

Explanation:
Option D is the correct solution because it provides fully automated, real-time detection and mitigation of application-layer (Layer 7) DDoS attacks with no manual intervention. AWS Shield Advanced includes automatic application layer DDoS mitigation when it is enabled for supported resources such as Amazon CloudFront distributions. This feature continuously monitors traffic patterns and, when an attack is detected, automatically deploys AWS WAF rules to mitigate malicious requests.
Adding a rate-based rule to the AWS WAF web ACL further strengthens protection by automatically blocking IP addresses that exceed a defined request threshold, which is a common characteristic of Layer 7 DDoS attacks. This combination aligns directly with AWS best practices for protecting web applications against volumetric and application-layer threats.
Option A only provides alerting and visibility but does not ensure automated mitigation. Option B includes proactive engagement with the AWS DDoS Response Team, which is valuable for complex or large-scale attacks but still involves human interaction and therefore does not meet the "no manual effort" requirement.
Option C introduces unnecessary complexity and is not recommended for protecting CloudFront-based applications against Layer 7 DDoS attacks.
AWS Security Specialty documentation explicitly recommends AWS Shield Advanced with automatic application layer DDoS mitigation and AWS WAF rate-based rules for fully automated, real-time protection of public web applications.

NEW QUESTION # 53
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