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Amazon SCS-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	Security Foundations and Governance: This domain addresses foundational security practices including policies, compliance frameworks, risk management, security automation, and audit procedures for AWS environments.
Topic 2	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 3	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 4	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.

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Amazon AWS Certified Security - Specialty Sample Questions (Q33-Q38):

NEW QUESTION # 33
A company is planning to deploy a new log analysis environment. The company needs to analyze logs from multiple AWS services in near real time. The solution must provide the ability to search the logs and must send alerts to an existing Amazon Simple Notification Service (Amazon SNS) topic when specific logs match detection rules.
Which solution will meet these requirements?

A. Analyze the logs by using Amazon CloudWatch Logs. Use a subscription filter to match logs with detection rules and to send alerts to the SNS topic. Search the logs manually by using CloudWatch Logs Insights.
B. Analyze the logs by using AWS Security Hub. Search the logs from the Findings page in Security Hub.
Create custom actions to match logs with detection rules and to send alerts to the SNS topic.
C. Analyze the logs by using Amazon OpenSearch Service. Search the logs from the OpenSearch API.
Use OpenSearch Service Security Analytics to match logs with detection rules and to send alerts to the SNS topic.
D. Analyze the logs by using Amazon QuickSight. Search the logs by listing the query results in a dashboard. Run queries to match logs with detection rules and to send alerts to the SNS topic.

Answer: C

Explanation:
Amazon OpenSearch Service is designed for near real-time log ingestion, indexing, and search across large volumes of data. According to the AWS Certified Security - Specialty Study Guide, OpenSearch supports advanced log analytics use cases and integrates with OpenSearch Security Analytics, which provides prebuilt and custom detection rules.
Security Analytics can continuously evaluate incoming logs from multiple AWS services and generate alerts when detection rules are matched. These alerts can be forwarded to Amazon SNS with minimal configuration.
OpenSearch also provides powerful search and query capabilities through APIs and dashboards.
Option C supports detection but lacks advanced correlation and scalable search capabilities. Option B is not a log analytics service. Option D is a visualization service and does not support real-time detection.
AWS guidance recommends OpenSearch Service for centralized, near real-time log analysis and alerting.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
Amazon OpenSearch Service Security Analytics
AWS Logging and Monitoring Architecture

NEW QUESTION # 34
A company hosts its public website on Amazon EC2 instances behind an Application Load Balancer (ALB).
The website is experiencing a global DDoS attack from a specific IoT device brand that uses a unique user agent. A security engineer is creating an AWS WAF web ACL and will associate it with the ALB.
Which rule statement will mitigate the current attack and future attacks from these IoT devices without blocking legitimate customers?

A. Use an IP set match rule statement.
B. Use a geographic match rule statement.
C. Use a rate-based rule statement.
D. Use a string match rule statement on the user agent.

Answer: D

Explanation:
AWS WAF string match rule statements allow inspection of HTTP headers, including the User-Agent header.
According to AWS Certified Security - Specialty guidance, when malicious traffic can be uniquely identified by a consistent request attribute, such as a device-specific user agent, a string match rule provides precise mitigation with minimal false positives.
IP-based blocking is ineffective for globally distributed botnets. Geographic blocking risks denying access to legitimate users. Rate-based rules limit request volume but do not prevent low-and-slow attacks.
By matching the unique IoT device brand in the User-Agent header, the security engineer can block only malicious requests while preserving customer access.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
AWS WAF Rule Statements
AWS DDoS Mitigation Best Practices

NEW QUESTION # 35
A company runs a web application on a fleet of Amazon EC2 instances that are in an Auto Scaling group. The EC2 instances are in the same VPC subnet as other workloads.
A security engineer deploys Amazon GuardDuty and integrates it with AWS Security Hub. The security engineer needs to implement anautomated solutionto detect and respond to anomalous traffic patterns. The solution must follow AWS best practices forinitial incident responseand mustminimize disruptionto the web application.
Which solution will meet these requirements?

A. Send GuardDuty findings to Amazon SNS for email notification.
B. Disable the instance profile access keys by using AWS Lambda.
C. Update the network ACL to block the detected traffic source.
D. Remove the affected instance from the Auto Scaling group and isolate it with a restricted security group by using AWS Lambda.

Answer: D

Explanation:
AWS incident response best practices emphasizecontainment with minimal blast radiuswhile preserving business continuity. According to the AWS Certified Security - Specialty Official Study Guide, isolating a compromised resource while allowing the application to continue operating is the recommended initial response.
By creating an Amazon EventBridge rule that reacts to GuardDuty anomalous traffic findings and invokes an AWS Lambda function, the security engineer can automaticallyremove the affected EC2 instance from the Auto Scaling groupand attach arestricted security group. This immediately stops malicious activity while allowing Auto Scaling to replace the instance and keep the application available.
Option A is inappropriate because EC2 instance profiles do not use long-term access keys. Option C applies subnet-wide changes that could disrupt unrelated workloads. Option D provides notification only and does not meet the automated response requirement.
AWS documentation explicitly identifiesinstance isolation via security groupsas a preferred containment technique that preserves application availability and forensic integrity.
* AWS Certified Security - Specialty Official Study Guide
* Amazon GuardDuty User Guide
* AWS Incident Response Best Practices

NEW QUESTION # 36
A company runs an application on a fleet of Amazon EC2 instances. The company can remove instances from the fleet without risk to the application. All EC2 instances use the same security group named ProdFleet. Amazon GuardDuty and AWS Config are active in the company's AWS account.
A security engineer needs to provide a solution that will prevent an EC2 instance from sending outbound traffic if GuardDuty generates a cryptocurrency finding event. The security engineer creates a new security group named Isolate that contains no outbound rules. The security engineer configures an AWS Lambda function to remove an EC2 instance from the ProdFleet security group and add it to the Isolate security group.
Which additional step will meet this requirement?

A. Configure an Amazon EventBridge rule that invokes the Lambda function if AWS Config detects a CryptoCurrency:EC2/* configuration change event for an EC2 instance.
B. Configure an AWS Config rule that invokes the Lambda function if a CryptoCurrency:EC2/* configuration change event occurs for an EC2 instance.
C. Configure an Amazon EventBridge rule that invokes the Lambda function if GuardDuty generates a CryptoCurrency:EC2/* finding event.
D. Configure GuardDuty to directly invoke the Lambda function if GuardDuty generates a CryptoCurrency:EC2/* finding event.

Answer: C

Explanation:
Amazon GuardDuty generates security findings when it detects suspicious or malicious activity, including CryptoCurrency:EC2/* findings that indicate an EC2 instance may be involved in unauthorized cryptocurrency mining. According to AWS Certified Security - Specialty documentation, GuardDuty findings are published as events to Amazon EventBridge (formerly Amazon CloudWatch Events).
Amazon EventBridge is the recommended service for building automated incident response workflows. By creating an EventBridge rule that listens for GuardDuty findings of type CryptoCurrency:EC2/*, the security engineer can automatically invoke a Lambda function to isolate the affected EC2 instance by modifying its security group attachments.

NEW QUESTION # 37
A company wants to establish separate AWS Key Management Service (AWS KMS) keys to use for different AWS services. The company's security engineer created the following key policy to allow the infrastructure deployment team to create encrypted Amazon Elastic Block Store (Amazon EBS) volumes by assuming the InfrastructureDeployment IAM role:
{
"Version": "2012-10-17",
"Id": "key-policy-ebs",
"Statement": [
{
"Sid": "Enable IAM User Permissions",
"Effect": "Allow",
"Principal": {
"AWS": "arn:aws:iam::123456789012:root"
},
"Action": "kms:*",
"Resource": "*"
},
{
"Sid": "Allow use of the key",
"Effect": "Allow",
"Principal": {
"AWS": "arn:aws:iam::123456789012:role/aws-reserved/sso.amazonaws.com/InfrastructureDeployment"
},
"Action": [
"kms:Encrypt",
"kms:Decrypt",
"kms:ReEncrypt*",
"kms:GenerateDataKey*",
"kms:DescribeKey",
"kms:CreateGrant",
"kms:ListGrants",
"kms:RevokeGrant"
],
"Resource": "*",
"Condition": {
"StringEquals": {
"kms:ViaService": "ec2.us-west-2.amazonaws.com"
}
}
}
]
}
The security engineer recently discovered that IAM rolesother thanthe InfrastructureDeployment role used this key for other services.
Which change to the policy should the security engineer make to resolve these issues?

A. In the statement block that contains the Sid"Allow use of the key", under theConditionblock, change the kms:ViaService value to ec2.us-east-1.amazonaws.com.
B. In the statement block that contains the Sid"Allow use of the key", under theConditionblock, change StringEquals to StringLike.
C. In the policy document, add a new statement block that grants the kms:Disable* permission to the security engineer's IAM role.
D. In the policy document, remove the statement block that contains the Sid"Enable IAM User Permissions". Add key management policies to the KMS policy.

Answer: B

Explanation:
AWS KMS key policies can restrict how and when a key is used by applyingconditions such as kms:
ViaService, which limits usage to requests that originate from a specific AWS service. According to the AWS Certified Security - Specialty Official Study Guide and AWS KMS documentation, the kms:ViaService condition is evaluated against the service that calls KMS on behalf of the principal.
Using StringEquals with kms:ViaService restricts usage toexactly one service endpoint. However, AWS services can invoke KMS throughservice variants, internal endpoints, or additional service integrations.
When StringEquals is used, these variations can unintentionally bypass the condition, allowing the key to be used by other services through different internal service paths.
Changing the condition operator from StringEquals to StringLike ensures thatonly EC2-related service calls that match the intended service pattern are allowed, while still preventing use by unrelated AWS services.
This aligns with AWS guidance to use StringLike when service invocation patterns may vary.
Option B is incorrect because the root principal statement is required to retain administrative control over the key. Option C is invalid because changing Regions does not address unauthorized service usage. Option D does not restrict key usage and does not mitigate the issue.
AWS documentation explicitly recommendstightening condition operatorsin KMS key policies to prevent unintended service access while maintaining required functionality.
* AWS Certified Security - Specialty Official Study Guide
* AWS Key Management Service Developer Guide
* AWS KMS Key Policy Best Practices

NEW QUESTION # 38
......

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