AAISM AI Governance And Program Management Practice Test 4 — 15 Questions

Question 1

Which THREE metrics should be monitored for 'Model Performance' and security?

Accepted Answer

Inference latency.. Drift, latency, and error rates are foundational metrics for system health and security monitoring.

Answer

Number of coffee breaks taken by developers.

Answer

Total cost of electricity.

Question 2

Which TWO components are essential for a robust AI Governance framework?

Accepted Answer

Defined roles and accountability structures.. Policies and clearly defined roles are the foundation of any governance system.

Answer

The company party schedule.

Answer

A list of all employee names.

Answer

The best-selling AI books.

Question 3

Which THREE security controls are effective against 'Data Leakage' in AI?

Accepted Answer

Data Loss Prevention (DLP) tools.. DLP, access control, and output filtering are the standard triad for preventing sensitive data exposure via AI.

Answer

Using a louder cooling system.

Answer

Increasing the model's training duration.

Question 4

Which THREE documents are vital for an AI audit trail?

Accepted Answer

Model validation and testing reports.. Model version, training set, and validation report are the three pillars of a reconstructible audit trail.

Answer

The office lease agreement.

Answer

A copy of the employee handbook.

Question 5

Which TWO activities ensure 'AI Safety' in development?

Accepted Answer

Adversarial testing (red teaming).. Adversarial testing and rigorous documentation are key safety practices.

Answer

Using unmonitored cloud servers.

Answer

Increasing the amount of public data used.

Answer

Removing all encryption.

Question 6

Which THREE factors increase 'AI Model Risk'?

Accepted Answer

High model complexity (black box).. High complexity, lack of interpretability, and critical business impact are the top drivers of AI model risk.

Answer

Using a low-latency network.

Answer

Using a well-documented framework.

Question 7

Which TWO aspects of 'Transparency' are most important for AI stakeholders?

Accepted Answer

Disclosing the use of AI to the end-user.. Explaining the logic behind outputs and disclosing that the user is interacting with an AI are key transparency requirements.

Answer

Providing a list of all server rack IDs.

Answer

Publishing the model's marketing budget.

Answer

Sharing the home addresses of developers.

Question 8

Which TWO reporting formats are effective for executive AI oversight?

Accepted Answer

Executive summaries of AI performance and risk.. Risk heatmaps and executive summaries provide the high-level view required by management.

Answer

Full source code printouts.

Answer

Raw system logs in text files.

Answer

A list of all server IP addresses.

Question 9

Which THREE items should be included in an 'AI Inventory'?

Accepted Answer

Unique model identifier and version.. Model version, owner, and risk rating are the core pieces of information needed to manage an AI portfolio.

Answer

The model's favorite color.

Answer

The developer's favorite food.

Question 10

Which TWO aspects of 'Compliance' must be addressed by an AI governance program?

Accepted Answer

Alignment with applicable legal and regulatory requirements.. Regulatory alignment and contractual commitments are the two pillars of AI compliance.

Answer

Following the latest fashion trends.

Answer

The office building's architecture.

Answer

Selecting the cheapest printer brand.

Question 11

Which THREE activities help manage 'AI Lifecycle' risk?

Accepted Answer

Pre-deployment design and threat modeling.. Design review, monitoring, and regular decommissioning/sunset reviews cover the start, middle, and end of the lifecycle.

Answer

Ignoring all software updates.

Answer

Bypassing security reviews for speed.

Question 12

Which TWO strategies are recommended for 'Human-in-the-Loop' governance?

Accepted Answer

Standardizing workflows for human intervention.. Standardizing the process and defining the specific decision points are key governance strategies.

Answer

Using only AI for all HR decisions.

Answer

Allowing humans to override without logging.

Answer

Removing humans to save money.

Question 13

A security manager is integrating AI governance into the existing NIST AI RMF framework. Which action best ensures alignment between AI security controls and business risk appetite?

Accepted Answer

Establishing a cross-functional AI steering committee to review and approve risk tolerance thresholds for AI use cases.. Mapping AI-specific controls to the organizational risk register ensures that security measures are proportionate to the business impact of AI system failure.

Answer

Deploying automated adversarial attack simulations against all LLM endpoints.

Answer

Implementing a strict zero-trust policy for all internal AI model training datasets.

Answer

Configuring AWS GuardDuty for Amazon Bedrock to monitor for unauthorized API calls.

Question 14

A board of directors requests a summary of AI risk exposure. Which metric provides the most relevant insight into AI security program maturity?

Accepted Answer

The percentage of AI models that have completed a formal governance and security certification.. Reporting on the percentage of AI models subjected to formal security and bias audits provides a clear picture of governance coverage.

Answer

The average response time of the AI chatbot interface.

Answer

The total number of GPU hours utilized for model training.

Answer

The total number of AI-related code commits in the CI/CD pipeline.

Question 15

An organization is deploying an AI application that processes PII. The governance policy requires a formal AI impact assessment. Which activity is the most critical first step before model training begins?

Accepted Answer

Executing an automated data lineage audit using Microsoft Purview to verify data provenance.. Data classification and privacy impact assessment must occur before model training to ensure compliance with data governance policies.

Answer

Configuring model weight encryption in the secure vault.

Answer

Setting up a model drift detection dashboard in Azure Machine Learning.

Answer

Performing a sensitivity analysis on model output latency.