SISA CSPAI Exam (page: 2)
SISA Certified Security Professional in Artificial Intelligence
Updated on: 24-Mar-2026

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What role does GenAI play in automating vulnerability scanning and remediation processes?

  1. By ignoring low-priority vulnerabilities to focus on high-impact ones.
  2. By generating code patches and suggesting fixes based on vulnerability descriptions.
  3. By increasing the frequency of manual scans to ensure thoroughness.
  4. By compiling lists of vulnerabilities without any analysis.

Answer(s): B



In the Retrieval-Augmented Generation (RAG) framework, which of the following is the most critical factor for improving factual consistency in generated outputs?

  1. Fine-tuning the generative model with synthetic datasets generated from the retrieved documents
  2. Utilising an ensemble of multiple LLMs to cross-check the generated outputs.
  3. Implementing a redundancy check by comparing the outputs from different retrieval modules.
  4. Tuning the retrieval model to prioritize documents with the highest semantic similarity

Answer(s): D



What is a primary step in the risk assessment model for GenAI data privacy?

  1. Ignoring data sources to speed up assessment.
  2. Conducting data flow mapping to identify privacy risks.
  3. Limiting assessment to model outputs only.
  4. Relying on vendor assurances without verification.

Answer(s): B



Which of the following is a characteristic of domain-specific Generative AI models?

  1. They are designed to run exclusively on quantum computers
  2. They are tailored and fine-tuned for specific fields or industries
  3. They are only used for computer vision tasks
  4. They are trained on broad datasets covering multiple domains

Answer(s): B



In line with the US Executive Order on AI, a company's AI application has encountered a security vulnerability.
What should be prioritized to align with the order's expectations?

  1. Implementing a rapid response to address and remediate the vulnerability, followed by a review of security practices.
  2. Immediate public disclosure of the vulnerability.
  3. Halting all AI projects until a full investigation is complete.
  4. Ignoring the vulnerability if it does not affect core functionalities.

Answer(s): A



An organization is evaluating the risks associated with publishing poisoned datasets.
What could be a significant consequence of using such datasets in training?

  1. Increased model efficiency in processing and generation tasks.
  2. Enhanced model adaptability to diverse data types.
  3. Compromised model integrity and reliability leading to inaccurate or biased outputs
  4. Improved model performance due to higher data volume.

Answer(s): C



During the development of AI technologies, how did the shift from rule-based systems to machine learning models impact the efficiency of automated tasks?

  1. Enabled more dynamic decision-making and adaptability with minimal manual intervention
  2. Enhanced the precision and relevance of automated outputs with reduced manual tuning.
  3. Improved scalability and performance in handling diverse and evolving data.
  4. Increased system complexity and the requirement for specialized knowledge,

Answer(s): A



In a Retrieval-Augmented Generation (RAG) system, which key step is crucial for ensuring that the generated response is contextually accurate and relevant to the user's question?

  1. Leveraging a diverse set of data sources to enrich the response with varied perspectives
  2. Integrating advanced search algorithms to ensure the retrieval of highly relevant documents for context.
  3. Utilizing feedback mechanisms to continuously improve the relevance of responses based on user interactions.
  4. Retrieving relevant information from the vector database before generating a response

Answer(s): D



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