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Amazon SCS-C03 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Identity and Access Management20%- Secure authentication and authorization
  • 1. Manage federated access
  • 2. Implement multi-factor authentication
  • 3. Integrate with external identity providers
- Monitor and audit access activity
  • 1. Review access logs and reports
  • 2. Detect and remediate excessive permissions
- Design and implement secure access strategies
  • 1. Manage identities and permissions at scale
  • 2. Implement least privilege access models
  • 3. Use IAM policies, roles, and permissions boundaries
Topic 2: Security Foundations and Governance14%- Secure development and operations
  • 1. Implement security as code
  • 2. Integrate security into CI/CD pipelines
- Establish security frameworks and compliance
  • 1. Implement security policies and standards
  • 2. Align with industry standards and regulations
- Manage security risk and compliance
  • 1. Implement compliance controls and reporting
  • 2. Perform risk assessments and audits
Topic 3: Data Protection18%- Secure data access and sharing
  • 1. Control access to sensitive data
  • 2. Implement secure data transfer and sharing mechanisms
- Implement encryption and key management
  • 1. Encrypt data across all storage and processing layers
  • 2. Manage encryption keys using AWS KMS and CloudHSM
- Design and implement data protection strategies
  • 1. Define data retention and disposal policies
  • 2. Classify and categorize data
Topic 4: Incident Response14%- Implement post-incident activities
  • 1. Document lessons learned
  • 2. Update security controls and processes
- Investigate and remediate security incidents
  • 1. Conduct forensic analysis on AWS resources
  • 2. Contain, eradicate, and recover from incidents
- Develop incident response plans and procedures
  • 1. Define roles and responsibilities
  • 2. Establish communication and escalation processes
Topic 5: Infrastructure Security18%- Protect workloads and applications
  • 1. Secure containerized and serverless environments
  • 2. Implement security groups and firewalls
- Secure compute and storage resources
  • 1. Encrypt data at rest and in transit
  • 2. Manage access to storage services
  • 3. Harden operating systems and applications
- Design and implement secure network architecture
  • 1. Secure VPC design and configuration
  • 2. Implement network access control and segmentation
  • 3. Protect network traffic and communications
Topic 6: Detection16%- Design and implement threat detection mechanisms
  • 1. Configure and manage log collection and analysis
  • 2. Use AWS security services for monitoring and alerting
  • 3. Detect anomalies and potential security incidents
- Automate detection and response workflows
  • 1. Integrate security tools and services
  • 2. Implement event-driven security automation

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Three Easy-to-Use TestKingIT Amazon SCS-C03 Exam Practice Questions Formats

No doubt the AWS Certified Security - Specialty (SCS-C03) certification is one of the most challenging certification exams in the market. This AWS Certified Security - Specialty (SCS-C03) certification exam gives always a tough time to AWS Certified Security - Specialty (SCS-C03) exam candidates. The TestKingIT understands this hurdle and offers recommended and real Amazon SCS-C03 exam practice questions in three different formats.

Amazon AWS Certified Security - Specialty Sample Questions (Q243-Q248):

NEW QUESTION # 243
A healthcare company stores more than 1 million patient records in an Amazon S3 bucket. The patient records include personally identifiable information (PII). The S3 bucket contains hundreds of terabytes of data.
A security engineer receives an alert that was triggered by an Amazon GuardDuty Exfiltration:S3
/AnomalousBehavior finding. The security engineer confirms that an attacker is using temporary credentials that were obtained from a compromised Amazon EC2 instance that has s3:GetObject permissions for the S3 bucket. The attacker has begun downloading the contents of the bucket. The security engineer contacts a development team. The development team will require 4 hours to implement and deploy a fix.
The security engineer must take immediate action to prevent the attacker from downloading more data from the S3 bucket.
Which solution will meet this requirement?

Answer: D

Explanation:
Amazon GuardDuty Exfiltration:S3/AnomalousBehavior findings indicate that S3 data access patterns are consistent with data exfiltration. In this scenario, the attacker is usingtemporary credentials obtained from an EC2 instance profile, which are issued by AWS Security Token Service (STS).
According to AWS Certified Security - Specialty documentation, thefastest and most targeted remediation is to revoke the temporary session credentials associated with the compromised instance profile. This can be accomplished by removing or modifying the IAM role permissions, detaching the instance profile, or stopping the instance, which immediately invalidates the temporary credentials and prevents further S3 access.
Option B may limit outbound traffic but does not invalidate already issued credentials. Option C is a detection and classification service and does not prevent active exfiltration. Option D would block all access to the bucket, including legitimate access, and is considered overly disruptive for incident containment.
AWS incident response best practices emphasizecredential revocation as the first containment stepwhen compromise of temporary credentials is confirmed.
* AWS Certified Security - Specialty Official Study Guide
* Amazon GuardDuty User Guide - S3 Protection
* AWS STS and IAM Role Security Documentation
* AWS Incident Response Best Practices


NEW QUESTION # 244
A company detects bot activity targeting Amazon Cognito user pool endpoints. The solution must block malicious requests while maintaining access for legitimate users.
Which solution meets these requirements?

Answer: C

Explanation:
Amazon Cognito threat protection is purpose-built to detect and mitigate malicious authentication activity such as credential stuffing and bot traffic. It uses adaptive risk-based analysis without disrupting legitimate users.
AWS WAF cannot be directly associated with Cognito user pools.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
Amazon Cognito Threat Protection


NEW QUESTION # 245
A company is using AWS CloudTrail and Amazon CloudWatch to monitor resources in an AWS account. The company's developers have been using an IAM role in the account for the last 3 months.
A security engineer needs to refine the customer managed IAM policy attached to the role to ensure that the role provides least privilege access.
Which solution will meet this requirement with the LEAST effort?

Answer: B

Explanation:
AWS IAM Access Analyzer policy generation is specifically designed to help security engineers generate least-privilege IAM policies based on actual usage recorded in AWS CloudTrail.
According to the AWS Certified Security - Specialty documentation, policy generation analyzes historical CloudTrail data to identify the exact API actions and resources that a role has accessed over a specified time period.
Because the role has been actively used for three months, there is sufficient CloudTrail data for IAM Access Analyzer to generate a refined customer managed policy automatically. This significantly reduces manual effort and eliminates the need to analyze logs or infer permissions.
The generated policy can be reviewed and attached directly to the role, ensuring least privilege access with minimal engineering effort.
Option B only validates existing policies for security warnings and does not reduce permissions.
Option C requires manual analysis of CloudWatch logs, which is time-consuming and error-prone.
Option D does not analyze real usage and cannot generate role-specific least privilege policies.
AWS documentation explicitly recommends IAM Access Analyzer policy generation as the fastest and most accurate method to refine IAM permissions based on observed behavior.


NEW QUESTION # 246
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?

Answer: A

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 # 247
A company runs a public web application on Amazon EKS behind Amazon CloudFront and an Application Load Balancer (ALB). A security engineer must send a notification to an existing Amazon SNS topic when the application receives 10,000 requests from the same end-user IP address within any 5-minute period. Which solution will meet these requirements?

Answer: A

Explanation:
AWS WAF rate-based rules are designed specifically to track the number of requests from a single IP address over a configurable time window. According to AWS Certified Security - Specialty guidance, rate-based rules integrate natively with CloudFront and emit CloudWatch metrics that can trigger alarms.
CloudFront logs and VPC Flow Logs are not real-time detection tools. ASN match rules do not count request rates.


NEW QUESTION # 248
......

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