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← AI Security, Ethics and Governance practice sets

AI0-001 AI Security, Ethics and Governance • Complete Question Bank

AI0-001 AI Security, Ethics and Governance — All Questions With Answers

Complete AI0-001 AI Security, Ethics and Governance question bank — all 0 questions with answers and detailed explanations.

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Certifications/AI0-001/Practice Test/AI Security, Ethics and Governance/All Questions
Question 1mediummultiple choice
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A healthcare organization deploys an AI system to analyze medical images and detect anomalies. During a routine audit, the security team discovers that the AI model occasionally returns results that include data from patients who have opted out of data sharing. Which security control should be implemented to prevent this violation?

Question 2easymultiple choice
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A financial institution is implementing an AI-based fraud detection system. The compliance officer is concerned about potential bias in the model that could lead to unfair treatment of certain customer groups. Which governance practice should be prioritized to address this concern?

Question 3hardmultiple choice
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A company uses a machine learning model to recommend products to customers. The marketing team notices that the model is recommending high-profit items more frequently than low-profit items, even when customers are likely to prefer the latter. This behavior is causing customer dissatisfaction. Which approach would best align the model with customer preferences while maintaining profitability?

Question 4mediummultiple choice
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An AI system used for resume screening is found to consistently rank male candidates higher than female candidates with similar qualifications. The HR director wants to remediate this bias without significantly reducing model accuracy. Which technique should be applied?

Question 5easymultiple choice
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A company is developing an AI chatbot for customer service. The legal team is concerned that the chatbot might generate responses that violate privacy regulations. Which governance mechanism should be implemented to mitigate this risk?

Question 6hardmultiple choice
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A self-driving car company is testing an AI model for pedestrian detection. During simulation, the model fails to detect pedestrians in low-light conditions. The safety team wants to improve robustness without retraining the entire model from scratch. Which approach is most appropriate?

Question 7mediummultiple choice
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An e-commerce company uses an AI system to set dynamic prices for products. A customer complains that the price they see is higher than the price shown to a friend for the same product at the same time. The company wants to ensure pricing fairness. Which ethical principle should guide the redesign of the pricing algorithm?

Question 8easymulti select
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Which TWO of the following are best practices for securing an AI model against adversarial attacks?

Question 9mediummulti select
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Which THREE of the following are key components of an AI governance framework?

Question 10hardmulti select
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Which TWO of the following are effective techniques to detect data poisoning attacks in a training dataset?

Question 11mediummultiple choice
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A healthcare organization is deploying an AI system to analyze patient records and recommend treatment plans. To comply with data privacy regulations, what is the most important security measure to implement?

Question 12hardmultiple choice
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A financial institution uses an AI model to approve loan applications. The model was trained on historical data that included biased lending practices. The bank's ethics committee wants to mitigate bias without removing protected attributes. Which approach best balances fairness and model performance?

Question 13easymultiple choice
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A company is developing an AI chatbot for customer service. They want to ensure the bot does not generate offensive or harmful responses. Which governance practice should be implemented first?

Question 14hardmultiple choice
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An AI system used for autonomous driving is found to have a lower accuracy in detecting pedestrians with darker skin tones. The development team wants to address this ethical issue. Which action is most effective?

Question 15mediummulti select
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Which TWO practices are most effective for ensuring the security of an AI model against adversarial attacks?

Question 16mediummultiple choice
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A security analyst reviews the log file from an AI model server. What is the most likely cause of the crash?

Exhibit

Refer to the exhibit.

```
[2025-03-15 14:23:45] ERROR: Model inference failed for user 'jdoe'.
[2025-03-15 14:23:45] WARNING: Input contains special characters at position 45.
[2025-03-15 14:23:45] INFO: Input length: 1200 characters.
[2025-03-15 14:23:46] ERROR: Memory allocation error during processing.
[2025-03-15 14:23:46] CRITICAL: Model server crashed.
```
Question 17hardmultiple choice
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You are a security engineer at a large e-commerce company that uses an AI-based recommendation system. The system is deployed on a Kubernetes cluster and uses a TensorFlow model served via REST API. Recently, the security team detected unusual API calls that caused the model to return incorrect recommendations. Analysis shows that the inputs were crafted to maximize prediction error. The team suspects an adversarial attack. You need to implement a solution that detects and mitigates such attacks in real-time without requiring model retraining. Which approach should you take?

Question 18mediummultiple choice
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You are an AI governance officer at a bank that uses a machine learning model to predict credit risk. The model was developed by an external vendor and uses a proprietary algorithm. The bank's compliance team has determined that the model must be explainable to meet regulatory requirements. However, the vendor claims the model is a 'black box' and cannot provide explanations. You need to ensure compliance while maintaining the model's performance. What is the best course of action?

Question 19mediummultiple choice
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A security analyst notices that an AI model used for facial recognition is returning unusually high confidence scores for certain individuals while consistently misidentifying others. Which type of attack is most likely occurring?

Question 20easymultiple choice
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A bank deploys an AI system to approve loan applications. During testing, the model denies a disproportionate number of applicants from a particular demographic group, even after controlling for credit history. Which ethical principle is being violated?

Question 21hardmultiple choice
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An organization implements AI governance following the NIST AI Risk Management Framework. They need to ensure that all model decisions are logged with sufficient detail for later audit. Which logging requirement is most critical for traceability?

Question 22mediummultiple choice
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A healthcare organization uses an AI model to predict patient readmission risk. To comply with patient privacy regulations, they apply differential privacy during training. What is the primary trade-off of using differential privacy?

Question 23easymultiple choice
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A cybersecurity analyst monitors an AI chatbot that frequently produces offensive responses when given specific prompts. The development team suspects an adversarial attack. Which mitigation strategy is most effective against such prompt injection attacks?

Question 24hardmultiple choice
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A company's AI governance board requires each model to have a model card documenting intended use, performance metrics, and limitations. What is the primary purpose of a model card?

Question 25mediummultiple choice
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A data scientist trains a sentiment analysis model on user reviews. To ensure transparency, they want to explain why the model classified a particular review as negative. Which explainability technique should they use?

Question 26easymultiple choice
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An AI system in a self-driving car misinterprets a stop sign due to a small sticker placed on it. This is an example of which security vulnerability?

Question 27hardmultiple choice
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A multinational corporation deploys an AI recruitment tool that must comply with GDPR's right to explanation. Which practice best ensures the tool meets this requirement?

Question 28mediummulti select
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Which TWO of the following are effective techniques for detecting bias in an AI model?

Question 29hardmulti select
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Which THREE of the following are key components of an AI governance framework?

Question 30easymulti select
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Which TWO of the following are common threats to AI model security?

Question 31mediummultiple choice
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Refer to the exhibit. A security analyst reviews the monitoring log for an AI fraud detection model. Which of the following is the most likely cause of the multiple alerts?

Exhibit

Refer to the exhibit.

```
[2025-04-01 14:23:45] INFO: Model inference call for job_id=123
[2025-04-01 14:23:45] ALERT: Drift detected on feature 'transaction_amount' - PSI: 0.35 (threshold: 0.20)
[2025-04-01 14:23:46] ALERT: Unusual request pattern from IP 10.0.0.55: 100 queries in 5 seconds (limit: 50)
[2025-04-01 14:23:47] WARN: Model 'fraud_detection_v2' confidence score dropped below 0.8 for 15 consecutive predictions
[2025-04-01 14:23:48] ALERT: Response time for inference increased to 200ms (baseline: 50ms)
```
Question 32hardmultiple choice
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Refer to the exhibit. A security engineer is reviewing an AI access control policy. Which of the following is the most significant security weakness in this policy?

Exhibit

Refer to the exhibit.

```json
{
  "policyId": "AI-ACCESS-001",
  "resources": ["model: fraud_detection_v2", "model: credit_scoring_v1"],
  "principals": ["role: data_scientist", "role: auditor"],
  "actions": ["inference", "explain", "audit_log"],
  "conditions": {
    "ipRange": ["10.0.0.0/8", "172.16.0.0/12"],
    "timeWindow": "09:00-17:00",
    "mfaRequired": true
  },
  "effect": "Allow"
}
```
Question 33easymultiple choice
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Refer to the exhibit. A system administrator sees these logs from an AI inference pipeline. What is the most likely sequence of events?

Exhibit

Refer to the exhibit.

```
[ERROR] 2025-04-01 15:12:33 - InferenceEngine-7: Input tensor contains NaN values for feature 'age'. Model 'loan_model_v3' returning error code -1.
[WARN] 2025-04-01 15:12:34 - SecurityFilter: Input flagged as potentially adversarial (score: 0.89). Action: blocked.
[INFO] 2025-04-01 15:12:35 - API Gateway: Request from 192.168.1.10 blocked due to security filter alert.
```
Question 34mediummultiple choice
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A security team discovers that an AI-based anomaly detection system frequently misclassifies benign network traffic as malicious when the source IP is from a specific geographic region. Which type of AI vulnerability is most likely being exploited?

Question 35easymultiple choice
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A healthcare organization uses an AI model to recommend treatment plans. The model was trained on data from a single hospital, and now treats patients from multiple demographics. Which ethical concern is most critical?

Question 36hardmultiple choice
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An AI system used for resume screening is found to consistently reject female candidates for technical roles. The data science team retrains the model after removing the 'gender' feature, but the bias persists. What is the most likely cause?

Question 37mediummultiple choice
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A company implements an AI-based chatbot for customer service. After deployment, customers report that the chatbot sometimes uses offensive language. The development team reviews the training data and finds no explicit offensive content. What is the most likely explanation?

Question 38easymultiple choice
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An organization wants to ensure its AI systems comply with new regulations requiring explanations for automated decisions. Which governance practice is most directly relevant?

Question 39hardmultiple choice
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A financial institution uses an AI model to approve loans. The model uses features including credit score and ZIP code. During an audit, it is discovered that the model has a high false positive rate for loan default predictions in certain ZIP codes. What should the institution do to address this?

Question 40mediummultiple choice
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A team is deploying an AI model that predicts patient readmission risk. The model was trained on data from three hospitals but will be used in a fourth hospital with different patient demographics. What is the most important security risk to assess?

Question 41easymultiple choice
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An AI development team is building a system to detect fraudulent transactions. They want to ensure the model complies with regulations requiring that individuals can question automated decisions. Which governance element is most relevant?

Question 42hardmultiple choice
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A security researcher demonstrates that by adding small perturbations to an image of a stop sign, an autonomous vehicle's AI misclassifies it as a speed limit sign. This is an example of which type of attack?

Question 43mediummulti select
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Which TWO of the following are common methods for mitigating bias in AI models?

Question 44mediummulti select
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Which THREE of the following are key principles of AI ethics as defined by major frameworks?

Question 45hardmulti select
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Which TWO of the following are effective defenses against adversarial evasion attacks on image classifiers?

Question 46easymultiple choice
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A bank uses an AI model to approve loans. During an audit, it is found that the model denies loans at a higher rate for a certain ethnic group. Which governance principle is primarily violated?

Question 47mediummultiple choice
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A company deployed an AI chatbot that started generating offensive responses after a data update. The security team needs to quickly mitigate the issue. What should they do first?

Question 48hardmultiple choice
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An organization wants to implement an AI ethics board. Which composition best ensures independence and expertise?

Question 49mediummultiple choice
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A healthcare AI system misdiagnosed patients due to adversarial inputs. What security measure should be prioritized?

Question 50easymultiple choice
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Which practice best ensures AI systems comply with regulations like GDPR?

Question 51mediummultiple choice
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An AI model's performance drops significantly in production compared to testing. The data shows distribution shift. What is the best first step?

Question 52hardmultiple choice
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An organization uses an AI-based hiring tool. To prevent bias, they want to ensure the model's decisions are explainable. Which approach is most suitable?

Question 53easymultiple choice
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A social media company's AI recommendation system pushes extreme content to users, causing harm. Which ethical principle is most violated?

Question 54hardmultiple choice
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During a red-team exercise on an AI model, testers successfully extracted training data. Which vulnerability is this?

Question 55mediummulti select
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Which TWO are key requirements for AI governance under the EU AI Act for high-risk AI systems? (Choose two.)

Question 56hardmulti select
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Which THREE are effective methods for ensuring data privacy in AI training? (Choose three.)

Question 57easymulti select
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Which TWO are common attack vectors against AI systems? (Choose two.)

Question 58mediummultiple choice
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Refer to the exhibit. An auditor reports that the model's fairness check was bypassed in a recent deployment. Based on the policy, what is the most likely cause?

Exhibit

{
  "policy": {
    "model": "loan-approval-v2",
    "access": [
      {"role": "data_scientist", "permissions": ["train", "evaluate", "deploy"]},
      {"role": "auditor", "permissions": ["view_logs", "view_predictions"]},
      {"role": "developer", "permissions": ["inference"]},
      {"role": "external_user", "permissions": ["inference"]}
    ],
    "audit": {"enabled": true, "log_all_access": true},
    "fairness_check": {"required": true, "threshold": 0.8}
  }
}
Question 59hardmultiple choice
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Refer to the exhibit. An AI governance review finds that a model was deployed without required ethics approval. Based on the audit log, who is most responsible for the compliance failure?

Exhibit

Model Audit Log - 2024-09-01
Timestamp          | Event                   | User         | Details
2024-09-01 08:15   | Model training started  | alice        | dataset:v3, hyperparams:...
2024-09-01 09:30   | Model training completed| alice        | accuracy:0.94
2024-09-01 10:00   | Model deployed          | bob          | endpoint:prod
2024-09-01 10:05   | Prediction request      | system       | 1500 requests/min
2024-09-01 10:10   | Anomaly detected        | system       | accuracy drop to 0.72
2024-09-01 10:15   | Model rollback          | carol        | version: v2.1
Question 60easymultiple choice
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Refer to the exhibit. A security auditor identifies a critical vulnerability that could allow an attacker to manipulate model inputs to cause misclassification. Which configuration setting is most directly responsible for this vulnerability?

Exhibit

[security]
enable_model_encryption = false
enable_input_sanitization = true
enable_adversarial_defense = false
audit_level = basic
[privacy]
data_minimization = enabled
pii_detection = enabled
[governance]
fairness_audit = quarterly
Question 61mediummultiple choice
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A healthcare AI system used for diagnosis shows a significant accuracy difference between demographic groups. Which technique should be applied to directly reduce this bias during model training?

Question 62easymultiple choice
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Which principle ensures that AI decisions can be traced back and understood by humans?

Question 63hardmultiple choice
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A financial institution uses a deep learning model for loan approvals. Under the EU AI Act, this is considered a high-risk AI system. Which mandatory requirement must the institution fulfill before deployment?

Question 64mediummultiple choice
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An image classification model misclassifies a stop sign as a speed limit sign after a few pixels are altered. What is the most effective defense against such attacks?

Question 65easymultiple choice
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Which ethical concern is most directly associated with AI systems that fully automate decision-making without human oversight?

Question 66hardmultiple choice
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A research lab trains a language model using DP-SGD. What primary privacy risk does this technique mitigate?

Question 67mediummultiple choice
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Which AI governance framework is specifically designed by the U.S. National Institute of Standards and Technology (NIST) to help organizations manage AI risks?

Question 68easymultiple choice
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What is the primary function of an AI ethics board within an organization?

Question 69mediummultiple choice
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After deploying a model for fraud detection, the data scientist observes a steady decline in precision over two months. Which issue is most likely occurring?

Question 70easymulti select
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Which TWO are common types of adversarial attacks on AI models?

Question 71mediummulti select
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Which THREE are key principles of trustworthy AI according to the OECD?

Question 72hardmulti select
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Which TWO techniques are specifically designed to protect individual privacy when training AI models?

Question 73mediummultiple choice
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Refer to the exhibit. Which assessment is most critical for ethical deployment?

Exhibit

AI Model Evaluation Report
Model: LoanClassifier v1.2
Date: 2023-08-15
Accuracy: 0.92
Precision: 0.89
Recall: 0.88
F1: 0.88
Fairness Metric (Demographic Parity Difference): 0.15
Question 74hardmultiple choice
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Refer to the exhibit. Which model is NOT in full compliance with the policy?

Exhibit

{
  "policy": {
    "name": "AI Governance Policy",
    "principles": [
      "Human oversight",
      "Transparency",
      "Fairness",
      "Accountability",
      "Privacy"
    ],
    "requirements": {
      "bias_testing": "quarterly",
      "explainability": "SHAP or LIME",
      "risk_assessment": "pre-deployment"
    },
    "exceptions": [
      {
        "model": "CreditScorer v2",
        "reason": "legacy system"
      }
    ]
  }
}
Question 75hardmultiple choice
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A large hospital system deploys an AI triage system for emergency rooms. The system uses patient vitals and symptoms to recommend treatment priority. Six months after deployment, complaints arise that the system frequently underestimates the severity of symptoms for patients from certain ethnic backgrounds. A data scientist runs a bias audit and finds that the model's false negative rate is 20% higher for the minority group. The hospital's AI governance board requires immediate corrective action. The data science team has limited resources and cannot retrain the entire model from scratch. They have access to the training data, which is imbalanced. The model is a gradient boosted tree. Which course of action best addresses the bias while minimizing operational impact?

Question 76easymultiple choice
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A security analyst is reviewing logs from an AI-powered recommendation system and notices an unusually high number of requests for products from a specific vendor. The analyst suspects data poisoning. Which mitigation strategy should be implemented first?

Question 77mediummultiple choice
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A healthcare startup deploys an AI model to predict patient readmission rates. An internal audit reveals that the model consistently underestimates readmission risk for non-native English speakers. According to AI ethics principles, what is the most appropriate course of action?

Question 78hardmultiple choice
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During a penetration test, a security engineer discovers that an AI-powered chatbot can be tricked into revealing sensitive customer data by using specially crafted prompts. What type of attack is this, and what is the best mitigation?

Question 79mediummultiple choice
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A financial institution uses an AI model to approve small business loans. The model has a high approval rate for women-owned businesses but low for minority-owned businesses. The compliance officer is concerned about disparate impact. Which governance process should be implemented first?

Question 80easymultiple choice
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An organization deploys an AI system that processes personal data of EU citizens. Which regulatory framework imposes strict requirements on automated decision-making and profiling?

Question 81easymulti select
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Which TWO of the following are common techniques to improve the transparency and interpretability of an AI model?

Question 82mediummulti select
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Which TWO of the following are effective defenses against adversarial examples in AI systems?

Question 83mediummulti select
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Which THREE of the following are key principles of trustworthy AI as defined by major regulatory bodies?

Question 84hardmultiple choice
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A large e-commerce company uses a recommendation engine trained on millions of user interactions. Recently, the marketing team noticed a sharp increase in click-through rates for a particular product category. Upon investigation, an engineer found that a competitor had injected fake user profiles that consistently clicked on their products, skewing the training data. The company needs to remediate the attack and prevent future occurrences. The team has limited time and budget. Which course of action should the company take first?

Question 85mediummultiple choice
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A hospital deploys an AI diagnostic assistant that analyzes medical images. The system has been in use for six months, and radiologists have reported that the AI is increasingly confident in its predictions, but sometimes misses rare conditions. The AI ethics board is concerned about overreliance and potential harm from false negatives. They want to implement a governance framework that ensures appropriate human oversight. The hospital has a limited IT budget. What is the best approach?

Question 86hardmultiple choice
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A social media company uses an AI content moderation system to filter hate speech. The system uses a natural language processing model trained on user reports. Recently, the model's false positive rate has increased, blocking legitimate posts. An internal audit reveals that a coordinated group of users has been falsely reporting harmless posts, causing the model to learn incorrect patterns. The company needs to address the attack and restore accuracy. The engineering team can modify the training pipeline. What is the most effective first step?

Question 87mediummultiple choice
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A credit union uses an AI model to approve personal loans. The model was trained on historical data from the past five years. A recent internal review shows that the model approves loans predominantly for white applicants compared to other ethnicities, even when income and credit scores are similar. The credit union wants to comply with fair lending laws without significantly reducing overall approval rates. The data science team has access to the training data. What is the most appropriate remediation step?

Question 88hardmultiple choice
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A national security agency uses AI to analyze surveillance data for threat detection. The system is deployed in a high-stakes environment where false negatives could lead to missed threats, and false positives waste analyst time. Recently, a known hacker group attempted to evade detection by subtly modifying their communication patterns over time, a form of adversarial evasion. The agency wants to harden the system while maintaining performance. The system uses a deep neural network. Which mitigation strategy is most appropriate?

Question 89easymultiple choice
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A startup develops an AI recruiting tool that screens resumes. After deployment, they receive a complaint from a candidate who claims the system rejected them due to age discrimination. The startup has no formal AI governance process. They want to quickly assess and remediate the issue. The dataset includes age as a feature. What should they do first?

Question 90mediummultiple choice
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A manufacturing company uses a predictive maintenance AI system to schedule equipment repairs. The system was trained on sensor data from machinery. Recently, the system has been missing failures, leading to unexpected downtime. An investigation reveals that the sensor data from one plant has been corrupted due to a sensor malfunction. The corrupted data was used in retraining. The company needs to restore system accuracy quickly. The data science team can access the training logs. What is the best course of action?

Question 91easymulti select
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Which TWO of the following are essential components of a responsible AI governance framework?

Question 92mediummultiple choice
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An organization implements the above access control policy for its AI model registry. During an audit, the auditor discovers that a data scientist deployed a model to production without authorization. Which of the following is the most likely cause?

Exhibit

Refer to the exhibit.

```json
{
  "policy_name": "model_access_ctrl",
  "rules": [
    {
      "role": "data_scientist",
      "permissions": ["train", "evaluate", "deploy_to_staging"],
      "conditions": {
        "time_window": "09:00-17:00",
        "mfa_required": true
      }
    },
    {
      "role": "ml_engineer",
      "permissions": ["deploy_to_production", "monitor", "rollback"],
      "conditions": {
        "approval_required": "manager"
      }
    },
    {
      "role": "auditor",
      "permissions": ["read_logs", "view_versions"],
      "conditions": {}
    }
  ]
}
```
Question 93hardmultiple choice
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A financial services firm deploys an AI system to screen loan applications. The model was trained on historical data that reflected biased lending practices. After deployment, a regulatory body investigates and finds that the model denies loans at a disproportionately higher rate to a protected demographic group. The firm must address this issue while maintaining compliance with fair lending laws. The Chief AI Officer proposes four possible actions. Which action is the most appropriate first step?

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