SISA CSPAI Exam Questions Instant Access - No Installation Required

Question 1

In a machine translation system where context from both early and later words in a sentence is crucial, a team is considering moving from RNN-based models to Transformer models. How does the self-attention mechanism in Transformer architecture support this task?

ABy processing words in strict sequential order, which is essential for capturing meaning

BBy considering all words in a sentence equally and simultaneously, allowing the model to establish long-range dependencies.

CBy assigning a constant weight to each word, ensuring uniform translation output

DBy focusing only on the most recent word in the sentence to speed up translation

Answer : B

Question 2

How do ISO 42001 and ISO 27563 integrate for comprehensive AI governance?

ABy combining AI management with privacy standards to address both operational and data protection needs.

BBy replacing each other in different organizational contexts.

CBy focusing ISO 42001 on privacy and ISO 27563 on management.

DBy applying only to public sector AI systems.

Answer : A

Question 3

In the context of LLM plugin compromise, as demonstrated by the ChatGPT Plugin Privacy Leak case study, what is a key practice to secure API access and prevent unauthorized information leaks?

ARestricting API access to a predefined list of IP addresses

BIncreasing the frequency of API endpoint updates.

CImplementing stringent authentication and authorization mechanisms, along with regular security audits

DAllowing open API access to facilitate ease of integration

Answer : C

Question 4

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

AIgnoring data sources to speed up assessment.

BConducting data flow mapping to identify privacy risks.

CLimiting assessment to model outputs only.

DRelying on vendor assurances without verification.

Answer : B

Question 5

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?

ALeveraging a diverse set of data sources to enrich the response with varied perspectives

BIntegrating advanced search algorithms to ensure the retrieval of highly relevant documents for context.

CUtilizing feedback mechanisms to continuously improve the relevance of responses based on user interactions.

DRetrieving relevant information from the vector database before generating a response

Answer : D

Question 6

Fine-tuning an LLM on a single task involves adjusting model parameters to specialize in a particular domain. What is the primary challenge associated with fine tuning for a single task compared to multi task fine tuning?

ASingle-task fine-tuning introduces more complexity in managing different versions of the model compared to multi-task fine-tuning.

BSingle-task fine-tuning is less effective in generalizing to new, unseen tasks compared to multi-task fine-tuning.

CSingle-task fine-tuning requires significantly more data to achieve comparable performance to multi-task fine tuning.

DSingle-task fine-tuning tends to degrade the model's performance on the original tasks it was trained on.

Answer : B

Question 7

Which of the following is a potential use case of Generative AI specifically tailored for CXOs (Chief Experience Officers)?

ADeveloping autonomous vehicles for urban mobility solutions.

BAutomating financial transactions in blockchain networks.

CConducting genetic sequencing for personalized medicine

DEnhancing customer support through AI-powered chatbots that provide 24/7 assistance.

Answer : D

SISA Certified Security Professional in Artificial Intelligence CSPAI Exam Questions