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Amazon SCS-C03 Exam Syllabus Topics:

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

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Amazon AWS Certified Security - Specialty Sample Questions (Q16-Q21):

NEW QUESTION # 16
A company needs to develop a code-signing application that will use a certificate authority (CA) to sign a code-signing certificate. The solution must use an AWS Key Management Service (AWS KMS) asymmetric key. The solution needs to collect and store immutable evidence about the creation, origin, and use of the KMS key for compliance purposes. This information must be made available to internal auditors.
Which solution meets these requirements?

Answer: D

Explanation:
AWS CloudTrail records AWS KMS key management and usage events, including key creation and API calls that reference the KMS key. Storing the validated CloudTrail logs in an S3 bucket with Object Lock provides immutable evidence for compliance, and auditors can be granted read access to review the key's creation, origin-related events, and subsequent use.


NEW QUESTION # 17
A company hosts its public website on Amazon EC2 instances behind an Application Load Balancer (ALB).
The website is experiencing a global DDoS attack by a specific IoT device brand that has a unique user agent.
A security engineer is creating an AWS WAF web ACL and will associate the web ACL with the ALB. The security engineer must implement a rule statement as part of the web ACL to block the requests. The rule statement must mitigate the current attack and future attacks from these IoT devices without blocking requests from customers.
Which rule statement will meet these requirements?

Answer: C

Explanation:
AWS WAF allows security engineers to createstring match rule statementsthat inspect specific parts of web requests, including HTTP headers such as theUser-Agentheader. According to the AWS Certified Security - Specialty Study Guide and AWS WAF documentation, string match rules are ideal for blocking requests that contain known malicious identifiers, such as a distinctive user agent associated with a specific bot or IoT device brand.
In this scenario, the attack originates from a specific IoT device brand that uses aunique user agent. A string match rule that inspects the User-Agent header can precisely block malicious requests while allowing legitimate customer traffic to continue uninterrupted. This approach provides targeted mitigation for both current and future attacks originating from the same device signature.
Option A is incorrect because IP addresses cannot be derived from user agent strings, and IoT botnets frequently rotate IP addresses, making IP-based blocking ineffective. Option B is incorrect because geographic blocking is overly broad and risks blocking legitimate customers in the same regions as the attacking devices. Option C is incorrect because rate-based rules limit request volume per IP address and do not specifically identify malicious device signatures; legitimate high-traffic users could be unintentionally blocked.
AWS documentation emphasizes thatheader inspection with string match conditionsis a best practice for mitigating attacks that use identifiable request characteristics such as custom user agents, especially in DDoS and bot mitigation scenarios.
* AWS Certified Security - Specialty Official Study Guide
* AWS WAF Developer Guide - Rule Statements
* AWS DDoS Resiliency Best Practices
* AWS Well-Architected Framework - Security Pillar


NEW QUESTION # 18
An IAM user receives an Access Denied message when the user attempts to access objects in an Amazon S3 bucket. The user and the S3 bucket are in the same AWS account. The S3 bucket is configured to use server- side encryption with AWS KMS keys (SSE-KMS) to encrypt all of its objects at rest by using a customer managed key from the same AWS account. The S3 bucket has no bucket policy defined. The IAM user has been granted permissions through an IAM policy that allows thekms:Decryptpermission to the customer managed key. The IAM policy also allows thes3:List* ands3:Get* permissions for the S3 bucket and its objects.
Which of the following is a possible reason that the IAM user cannot access the objects in the S3 bucket?

Answer: B

Explanation:
WithSSE-KMS, authorization is a two-part check: the caller must have S3 permissions to read the objectandthe caller must be allowed to use the KMS key for decryption. Even if an IAM policy grants kms:
Decrypt, the request will still fail if theKMS key policydoes not allow the principal (or does not allow the account to delegate use of the key). KMS key policies are authoritative: they can prevent key usage even when IAM policies appear to allow it.
A common misconfiguration is editing the key policy and removing the statement that grants the AWS account (or key administrators) the ability to manage and delegate permissions for the key-often described as removing "Enable IAM user permissions" or otherwise blocking the account from using IAM policies to authorize key usage. In that case, the IAM user's kms:Decrypt permission in IAM is not sufficient because the key policy no longer permits it, resulting in Access Denied when S3 attempts to call KMS on the user's behalf during GetObject.
Option A is not required for decrypting data (DescribeKey is useful for discovery but not necessary for GetObject). Option B would not inherently cause access denied if permissions align. Option C is incorrect because same-account S3 access can be granted purely via IAM without a bucket policy. Therefore, the key policy change is a valid reason.


NEW QUESTION # 19
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?

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 # 20
A company begins to use AWS WAF after experiencing an increase in traffic to the company's public web applications. A security engineer needs to determine if the increase in traffic is because of application-layer attacks. The security engineer needs a solution to analyze AWS WAF traffic. Which solution will meet this requirement?

Answer: C

Explanation:
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 Athena is 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 using Athena 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.


NEW QUESTION # 21
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