SISA Certified Security Professional in Artificial Intelligence - CSPAI무료 덤프문제 풀어보기

A. To serve as a fallback or supplementary AI assistant for more complex queries

B. To only manage user credentials

C. To replace the primary AI system

D. To handle tasks unrelated to the main application

A. Relying on vendor assurances without verification.

B. Limiting assessment to model outputs only.

C. Conducting data flow mapping to identify privacy risks.

D. Ignoring data sources to speed up assessment.

A. By avoiding any use of past data and focusing solely on current trends

B. By relying exclusively on manual adjustments and human input for predictions.

C. By using historical data patterns to make predictions without updates

D. By continuously learning from new data patterns to refine predictions

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

B. To regulate hardware used in AI deployments.

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

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

A. Building a new, from scratch Domain-Specific GenAI model for financial tasks without leveraging preexisting models.

B. Adopting a Foundation Model as the base and fine-tuning it with domain-specific financial data to enhance its capabilities for forecasting and risk assessment.

C. Using a general Large Language Model (LLM) without adaptation, relying solely on its broad capabilities to handle financial tasks.

D. Integrating multiple separate Domain-Specific GenAI models for various financial functions without using a foundational model for consistency

A. By focusing on performance metrics over privacy.

B. By limiting AI to non-personal data only.

C. By mandating the use of specific encryption algorithms.

D. By providing guidelines for privacy-enhancing technologies in AI.