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Guide for SISA Certified Security Professional in Artificial Intelligence

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Quiz

1/10
Which of the following is a method in which simulation of various attack scenarios are applied to
analyze the model's behavior under those conditions.
Select the answer
1 correct answer
A.
input sanitation
B.
Model firewall
C.
Prompt injections
D.
Adversarial testing

Quiz

2/10
What is a potential risk associated with hallucinations in LLMs, and how should it be addressed to
ensure Responsible AI?
Select the answer
1 correct answer
A.
Hallucinations can lead to creative outputs, which are beneficial for all applications; hence, no measures are necessary.
B.
Hallucinations cause models to slow down; optimizing hardware performance is necessary to mitigate this issue.
C.
Hallucinations can produce inaccurate or misleading information; it should be addressed by incorporating external knowledge bases and retrieval systems.
D.
Hallucinations are primarily due to overfitting; regularization techniques should be applied during training.

Quiz

3/10
When dealing with the risk of data leakage in LLMs, which of the following actions is most effective in
mitigating this issue?
Select the answer
1 correct answer
A.
Applying rigorous access controls and anonymization techniques to training data.
B.
Using larger datasets to overshadow sensitive information.
C.
Allowing unrestricted access to training data.
D.
Relying solely on model obfuscation techniques

Quiz

4/10
When deploying LLMs in production, what is a common strategy for parameter-efficient fine-tuning?
Select the answer
1 correct answer
A.
Using external reinforcement learning to adjust the model's parameters dynamically.
B.
Freezing the majority of model parameters and only updating a small subset relevant to the task
C.
Training the model from scratch on the target task to achieve optimal performance.
D.
Implementing multiple independent models for each specific task instead of fine tuning a single model

Quiz

5/10
What does the OCTAVE model emphasize in GenAI risk assessment?
Select the answer
1 correct answer
A.
Operational Critical Threat, Asset, and Vulnerability Evaluation focused on organizational risks.
B.
Solely technical vulnerabilities in AI models.
C.
Short-term tactical responses over strategic planning.
D.
Exclusion of stakeholder input in assessments.

Quiz

6/10
Which of the following is a potential use case of Generative AI specifically tailored for CXOs (Chief
Experience Officers)?
Select the answer
1 correct answer
A.
Developing autonomous vehicles for urban mobility solutions.
B.
Automating financial transactions in blockchain networks.
C.
Conducting genetic sequencing for personalized medicine
D.
Enhancing customer support through AI-powered chatbots that provide 24/7 assistance.

Quiz

7/10
What is a potential risk of LLM plugin compromise?
Select the answer
1 correct answer
A.
Better integration with third-party tools
B.
Improved model accuracy
C.
Unauthorized access to sensitive information through compromised plugins
D.
Reduced model training time

Quiz

8/10
In transformer models, how does the attention mechanism improve model performance compared
to RNNs?
Select the answer
1 correct answer
A.
By enabling the model to attend to both nearby and distant words simultaneously, improving its understanding of long-term dependencies
B.
By processing each input independently, ensuring the model captures all aspects of the sequence equally.
C.
By enhancing the model's ability to process data in parallel, ensuring faster training without compromising context.
D.
By dynamically assigning importance to every word in the sequence, enabling the model to focus on relevant parts of the input.

Quiz

9/10
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?
Select the answer
1 correct answer
A.
Single-task fine-tuning introduces more complexity in managing different versions of the model compared to multi-task fine-tuning.
B.
Single-task fine-tuning is less effective in generalizing to new, unseen tasks compared to multi-task fine-tuning.
C.
Single-task fine-tuning requires significantly more data to achieve comparable performance to multi-task fine tuning.
D.
Single-task fine-tuning tends to degrade the model's performance on the original tasks it was trained on.

Quiz

10/10
What role does GenAI play in automating vulnerability scanning and remediation processes?
Select the answer
1 correct answer
A.
By ignoring low-priority vulnerabilities to focus on high-impact ones.
B.
By generating code patches and suggesting fixes based on vulnerability descriptions.
C.
By increasing the frequency of manual scans to ensure thoroughness.
D.
By compiling lists of vulnerabilities without any analysis.
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  • Quiz name:SISA Certified Security Professional in Artificial Intelligence
  • Total number of questions:50
  • Number of questions for the test:50
  • Pass score:80%

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