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Q1.A security team deploys AI-enhanced honeypots across their network that mimic database servers containing synthetic data. An attacker interacts with a honeypot and attempts SQL injection. The AI system enriches the alert with context about the attacker's techniques and cross-references the source IP against threat intelligence feeds. Which of the following describes the MOST valuable intelligence this AI-enhanced deception system provides?

• A.Detailed attacker TTP mapping correlated with threat intelligence to identify the actor
• B.The attacker's IP address which can be permanently blocked at the firewall to prevent future attacks
• C.The specific SQL injection payload used which proves the attacker has advanced technical skills
• D.The success rate of honeypot deployments as a percentage of total network assets

Domain: 3.0 AI-Assisted Security

Q2.An organization is configuring AWS SageMaker for a sensitive model training job. The security team requires that training data and model artifacts are encrypted with keys the organization fully controls and that all training occurs within the organization's VPC. Which combination of AWS services BEST meets these requirements? (Select TWO.)

• A.AWS KMS Customer Managed Keys for encrypting all training data and model artifacts
• B.VPC configuration with private subnets and security groups for SageMaker training jobs
• C.S3 Transfer Acceleration for faster data upload to the training bucket
• D.CloudWatch alarms set on SageMaker training job completion metrics
• E.Deploying SageMaker endpoints in public subnets for easier access

Domain: 2.0 Securing AI Systems

Q3.In a federated learning system, multiple hospitals contribute to training a shared diagnostic model. A security researcher discovers that by analyzing the gradient updates sent by one hospital, they can reconstruct individual patient records from that hospital's data. Which of the following attacks does this describe?

• A.Gradient leakage attack
• B.Model inversion attack
• C.Byzantine attack on the aggregation server
• D.Membership inference attack

Domain: 1.0 Basic AI Concepts

Q4.An organization wants to map their AI governance controls to the EU AI Act classification requirements. Their AI system is used for employee performance evaluation and is classified as high-risk under the Act. Which of the following obligations does this high-risk classification impose? (Select TWO.)

• A.Implementing mandatory human oversight mechanisms that allow humans to monitor and intervene in system decisions
• B.Maintaining comprehensive technical documentation including design specifications and risk management measures
• C.Open-sourcing the model weights and training data for public auditing
• D.The system is prohibited from deployment under any circumstances
• E.Registering for a voluntary self-regulation program without government oversight

Domain: 4.0 AI GRC

Q5.An organization uses AI to automatically correlate alerts from multiple security tools and group them into unified incidents. The AI system identifies that five seemingly unrelated alerts from the firewall, EDR, SIEM, email gateway, and identity provider are all part of a single coordinated attack. Which AI capability is MOST responsible for this correlation?

• A.Cross-source pattern recognition of temporal and contextual relationships between alerts
• B.Signature-based matching that compares each alert against a database of known attack signatures
• C.Log compression algorithms that reduce the volume of data analysts need to review
• D.Automated vulnerability scanning that identifies weaknesses exploited by the attacker

Domain: 3.0 AI-Assisted Security