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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Protection | 22% | - Database encryption and access control - Design and implement encryption solutions for data at rest and in transit - AWS Key Management Service (KMS) and customer managed keys - AWS CloudTrail and encryption key audit - Amazon S3 security best practices |
| Topic 2: Logging and Monitoring | 20% | - Design and implement log analysis and management - Troubleshoot security monitoring and alerting - Design and implement monitoring and alerting solutions |
| Topic 3: Incident Response | 12% | - Determine root cause and recurrence prevention - Identify, collect, and preserve forensic evidence - Given an AWS security incident, outline the investigation and mitigation steps |
| Topic 4: Infrastructure Security | 26% | - AWS Secret Manager and AWS Systems Manager Parameter Store - Architect network security segmentation (VPC architecture) - Design and implement host-based security - Design and implement edge security on AWS |
| Topic 5: Identity and Access Management | 20% | - Implement temporary credentials and federation - Troubleshoot IAM-based authentication and authorization issues - Design and implement cross-account access management - Design and implement identity and access management architecture |
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NEW QUESTION # 162
A company experienced a security incident caused by a vulnerable container image that was pushed from an external CI/CD pipeline into Amazon ECR.
Which solution will prevent vulnerable images from being pushed?
Answer: B
Explanation:
Amazon Inspector provides native CI/CD integration capabilities that allow security checks to occur before container images are pushed to Amazon ECR. According to AWS Certified Security - Specialty documentation, Inspector does not block image pushes automatically. Instead, prevention must occur inside the CI/CD pipeline itself.
By generating a Software Bill of Materials (SBOM) using the Amazon Inspector SBOM generator and submitting it to Inspector for scanning, the pipeline can detect critical vulnerabilities before the image is uploaded. If vulnerabilities exceed policy thresholds, the pipeline fails, preventing deployment.
Post-push scanning solutions only detect vulnerabilities after exposure. Event-driven blocking does not prevent the initial risk.
AWS best practices require "shift-left" security controls to prevent vulnerable artifacts from entering production.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
Amazon Inspector CI/CD Integration
NEW QUESTION # 163
A company has a new web-based account management system for an online game. Players create a unique username and password to log in to the system.
The company has implemented an AWS WAF web ACL for the system. The web ACL includes the core rule set (CRS) AWS managed rule group on the Application Load Balancer that serves the system.
The company's security team finds that the system was the target of a credential stuffing attack.
Credentials that were exposed in other breaches were used to try to log in to the system.
The security team must implement a solution to reduce the chance of a successful credential stuffing attack in the future. The solution also must minimize impact on legitimate users of the system.
Which combination of actions will meet these requirements? (Choose two.)
Answer: C,D
Explanation:
Creating a CloudWatch custom metric to monitor the number of successful login responses from a single IP address can help identify unusual patterns that might indicate credential stuffing. This allows for additional monitoring and detection without immediately impacting legitimate users. The AWS WAF Account Takeover Prevention (ATP) rule group is specifically designed to detect and mitigate credential stuffing attacks. By configuring ATP to inspect login requests and blocking requests with the awswaf:managed:aws:atp:signal:credential_compromised label, the security team can significantly reduce the chances of successful credential stuffing attacks. This approach targets compromised credentials while minimizing impact on legitimate users.
NEW QUESTION # 164
A security engineer needs to implement a solution to create and control the keys that a company uses for cryptographic operations. The security engineer must create symmetric keys in which the key material is generated and used within a custom key store that is backed by an AWS CloudHSM cluster. The security engineer will use symmetric and asymmetric data key pairs for local use within applications. The security engineer also must audit the use of the keys.
How can the security engineer meet these requirements?
Answer: B
Explanation:
The requirement is to havekey material generated and used inside a custom key store backed by an AWS CloudHSM cluster. This is exactly whatAWS KMS Custom Key Storesprovide: KMS manages the keys and policies, but the cryptographic operations for those KMS keys occur in the associatedCloudHSMcluster, keeping the key material within HSM boundaries. For applications that needlocal-use data keys(both symmetric data keys and asymmetric data key pairs), KMS supports generating data keys and data key pairs that applications can use for envelope encryption and local cryptographic operations, while the master key protections remain within KMS (and within CloudHSM when using a custom key store).
For auditing, AWS best practice isAWS CloudTrail, which records KMS API calls (such as CreateKey, GenerateDataKey, GenerateDataKeyPair, Encrypt/Decrypt, etc.) and provides an immutable event history for compliance and investigation. Athena can query logs, but it is not the primary audit record source; GuardDuty is for threat detection, not authoritative key-usage auditing. Therefore, the correct combination isKMS with a CloudHSM-backed custom key storeplusCloudTrailfor auditability.
NEW QUESTION # 165
A company has configured an organization in AWS Organizations for its AWS accounts. AWS CloudTrail is enabled in all AWS Regions.
A security engineer must implement a solution toprevent CloudTrail from being disabled.
Which solution will meet this requirement?
Answer: B
Explanation:
AWS CloudTrail is a foundational security service that records API activity and account events. According to the AWS Certified Security - Specialty Official Study Guide,the only way to centrally and reliably prevent CloudTrail from being disabled across multiple AWS accounts is by using AWS Organizations service control policies (SCPs).
SCPs define themaximum available permissionsfor all accounts in an organization or organizational unit.
By creating an SCP with an explicitDenyfor the cloudtrail:StopLogging and cloudtrail:DeleteTrail actions and attaching it to theroot OU, the security engineer ensures thatno principal in any member account- including administrators-can stop or delete CloudTrail trails. Explicit denies in SCPs cannot be overridden by IAM permissions.
Option A is incorrect because log file integrity validation only detects tampering after logs are delivered and does not prevent CloudTrail from being disabled. Option B protects log data at rest but does not prevent trail deletion or logging suspension. Option D removes read-only permissions and does not affect the ability to stop or delete CloudTrail.
AWS documentation explicitly states thatSCPs are the recommended mechanism to enforce mandatory security controls such as CloudTrail logging across an organization, making this the correct and most secure solution.
* AWS Certified Security - Specialty Official Study Guide
* AWS Organizations SCP Documentation
* AWS CloudTrail Security Best Practices
NEW QUESTION # 166
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?
Answer: B
Explanation:
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 # 167
......
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