最新的SISA Certified Security Professional in Artificial Intelligence - CSPAI免費考試真題

A. Implementing measures to prevent any harmful outcomes and ensure AI system safety

B. Focusing on integrating ethical guidelines to ensure AI decisions are fair and unbiased.

C. Ensuring the AI system meets stringent privacy standards to protect sensitive data

D. Prioritizing transparency and accountability in AI systems to avoid high-risk categorization

A. Allowing unrestricted access to training data.

B. Using larger datasets to overshadow sensitive information.

C. Relying solely on model obfuscation techniques

D. Applying rigorous access controls and anonymization techniques to training data.

A. Maximizing model performance while minimizing computational costs.

B. Developing AI systems with the highest accuracy regardless of data privacy concerns

C. Ensuring that AI systems operate safely, ethically, and without causing harm.

D. Focusing solely on improving the speed and scalability of AI systems

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

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

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

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

A. Implementing multiple independent models for each specific task instead of fine tuning a single model

B. Freezing the majority of model parameters and only updating a small subset relevant to the task

C. Using external reinforcement learning to adjust the model's parameters dynamically.

D. Training the model from scratch on the target task to achieve optimal performance.