ECCouncil 612-51 試験概要:

ECCouncil 612-51 試験シラバストピック:

ECCouncil Certified Responsible AI Governance & Ethics (CRAGE) 認定 612-51 試験問題：

問題 #1
Maria is leading a pilot program to improve early disease-detection capabilities at the hospital. She has chosen a deep learning solution that processes high-dimensional inputs from different equipment to detect subtle tissue irregularities and micro-calcifications. The system flags these areas for specialist review, thereby reducing the false-negative rate in pathology identification.
Based on the AI Applications framework, how should this initiative be classified?

A. Medical Imaging and Diagnostics
B. Robotic Surgical Automation
C. Predictive Analytics
D. Genomic Sequencing and Analysis

問題 #2
AutoWarehousing is deploying autonomous robots that must navigate a complex, changing warehouse floor.
The robots are not provided a map; instead, they need to learn navigation through trial and error, receiving a
"reward" signal when they successfully reach a destination and a "penalty" when they strike an obstacle.
Which machine-learning approach describes this learning process?

A. Unsupervised Learning
B. Supervised Learning
C. Semi-Supervised Learning
D. Reinforcement Learning

問題 #3
A small company is deploying an AI system that processes customer feedback in real time to enhance customer service. The company applies security controls so access to the models and training data is managed and restricted to authorized users and devices throughout the system's operation.
Which security principle best aligns with this approach?

A. Ensure Model Versioning and Auditability
B. Implement Zero Trust
C. Implement Least Privilege
D. Ensure Adversarial Robustness

問題 #4
During a privacy-risk review of an AI system that handles personal data, a security team assesses how information flows through data-ingestion, storage, and processing components. The review identifies overly broad access permissions, inconsistent security-policy enforcement, and configuration gaps in data-handling workflows that could be exploited to obtain unauthorized access to sensitive information.
Which privacy-risk evaluation criterion is this assessment focused on?

A. Likelihood
B. Impact
C. Severity
D. Vulnerability

問題 #5
Vertexa Global Systems runs a distributed AI environment that supports multiple enterprise clients in regulated industries. During a security-architecture review, concerns arise about potential lateral movement if one AI service or workload is compromised. Although perimeter controls and broad network boundaries are in place, leadership wants individual AI components to be isolated so that a breach in one workload cannot automatically communicate with others in the same environment.
Which security control should be implemented to enforce fine-grained isolation among AI services and workloads, limiting lateral movement and reducing the blast radius?

A. Logical Segmentation
B. Zero Trust Segmentation
C. Physical Segmentation
D. Micro-Segmentation

解説：