AAISM Practice Test 6 — 10 Questions

Question 1

What is the purpose of 'AI Model Transparency' in a risk management framework?

Accepted Answer

To enable stakeholders to evaluate model safety and performance.. Transparency allows stakeholders to understand how a model functions, its limitations, and its provenance to ensure accountability.

Answer

To speed up the training process.

Answer

To hide the model architecture from competitors.

Answer

To minimize the number of API calls.

Question 2

What is the best way to manage 'Bias' in an AI system?

Accepted Answer

Perform regular audits and dataset balancing.. Regular auditing and dataset balancing are the most effective ways to identify and mitigate bias in AI systems.

Answer

Ignore the bias until a user complains.

Answer

Change the font on the website.

Answer

Delete all data that has bias.

Question 3

You are assessing a supply chain risk where an AI model uses a pre-trained base model from a third-party hub. Which action most effectively mitigates the risk of model poisoning during the integration phase?

Accepted Answer

Validate the model hash against the vendor's provided checksum manifest.. Verifying the cryptographic hash of the model weights against the provider's manifest ensures integrity before deployment.

Answer

Implement role-based access control for the training pipeline.

Answer

Run a sensitivity analysis on the model output.

Answer

Enable MFA for the model registry access.

Question 4

What is the primary objective of a 'Bias Audit' in an AI risk management program?

Accepted Answer

To identify disparate impacts on protected populations.. Bias audits ensure that AI models do not produce discriminatory outcomes based on protected classes.

Answer

To verify the model meets legal data storage requirements.

Answer

To reduce the cost of model deployment.

Answer

To ensure the model is computationally efficient.

Question 5

What is 'Model Stealing' and why is it considered a security incident?

Accepted Answer

It is the theft of intellectual property via query analysis. Model stealing involves querying a model to extract enough information to replicate its functionality, leading to the loss of proprietary intellectual property.

Answer

It is the slow down of the model due to heavy load

Answer

It is the unauthorized access to the server room

Answer

It is the accidental deletion of model files

Question 6

What is the 'Membership Inference' attack in machine learning?

Accepted Answer

Determining if a specific record was in the training set. This attack determines whether a specific data point was included in the training set, potentially compromising privacy if the data is sensitive.

Answer

Brute forcing the user password

Answer

Adding noise to the output

Answer

Stealing the model's entire weights file

Question 7

Which THREE factors must be included in a 'Model Risk Management' (MRM) policy?

Accepted Answer

Clear model lifecycle stages and governance gates.. A robust MRM policy covers the lifecycle from model development and validation to monitoring and retirement.

Answer

The names of all employees who use the AI.

Answer

A list of all model research papers published by the company.

Question 8

Which TWO factors contribute to 'Model Obsolescence' risk?

Accepted Answer

Availability of superior, more efficient alternatives.. Obsolescence occurs when models become ineffective due to changing data distributions (drift) or superior new models.

Answer

The model has reached its maximum iteration count.

Answer

The training data was encrypted.

Answer

The model is stored on a local server.

Question 9

What is the primary function of an 'AI Firewall' or 'LLM Gateway' in an enterprise AI architecture?

Accepted Answer

To intercept and filter prompts and responses. An LLM gateway acts as a proxy to enforce security policies, redact PII, and prevent prompt injection before requests reach the model.

Answer

To optimize the GPU utilization of the model

Answer

To store model weights in a secure archive

Answer

To automate the labeling of training data

Question 10

What is the primary role of 'Data Encryption at Rest' for AI datasets?

Accepted Answer

Protect data from unauthorized access on storage media. Encryption at rest ensures that even if the storage media is stolen or accessed unauthorized, the data remains unreadable.

Answer

Increase the training speed of the model

Answer

Detect potential poisoning attacks

Answer

Automatically patch model software