최신SISA Certified Security Professional in Artificial Intelligence - CSPAI무료샘플문제

A. By creating synthetic attack scenarios for training detection models.

B. By replacing all human analysts with AI-generated reports.

C. By generating random data to overload security systems.

D. By automating the deletion of security logs to reduce storage costs.

A. Conducting data flow mapping to identify privacy risks.

B. Ignoring data sources to speed up assessment.

C. Limiting assessment to model outputs only.

D. Relying on vendor assurances without verification.

A. To focus solely on technical specifications for AI algorithms.

B. To provide guidelines only for small-scale AI projects.

C. To establish requirements for an AI management system within organizations.

D. To regulate hardware used in AI deployments.

A. Hallucinations are primarily due to overfitting; regularization techniques should be applied during training.

B. Hallucinations can lead to creative outputs, which are beneficial for all applications; hence, no measures are necessary.

C. Hallucinations can produce inaccurate or misleading information; it should be addressed by incorporating external knowledge bases and retrieval systems.

D. Hallucinations cause models to slow down; optimizing hardware performance is necessary to mitigate this issue.

A. Compromised model integrity and reliability leading to inaccurate or biased outputs

B. Improved model performance due to higher data volume.

C. Enhanced model adaptability to diverse data types.

D. Increased model efficiency in processing and generation tasks.

A. By forcing the model to focus on a single aspect of the input at a time.

B. By ensuring that the attention mechanism looks only at local context within the input

C. By allowing the model to focus on different parts of the input through multiple attention heads

D. By simplifying the network by removing redundancy in attention layers.