AIGP-M3-M5 – AllNet Law

This multiple choice assessment focuses on the AIGP body of knowledge

Format: Multiple Choice

The result will be provided immediately, with details on all questions.

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1. An AI system that consistently operates within predefined performance thresholds under real-world or adversarial conditions would be characterized as?

Robust

Reliable

Resilient

Reinforced

2. Which of the following steps occurs in the design phase of the Al life cycle?

Data augmentation.

Model explainability.

Risk impact estimation.

Performance evaluation.

3. A company has trained an ML model primarily using synthetic data, and now intends to use live personal data to test the model. Which of the following is NOT a best practice apply during the testing?

The test data should be representative of the expected operational data.

Testing should minimize human involvement to the extent practicable.

The test data should be anonymized to the extent practicable.

Testing should be performed specific to the intended uses.

4. During the development of semi-autonomous vehicles, various failures occurred as a result of the sensors misinterpreting environmental surroundings, such as sunlight. These failures are an example of?

Hallucination.

Brittleness.

Uncertainty.

Forgetting.

5. You are an engineer that developed an Al-based ad recommendation tool. Which of the following should be monitored to evaluate the tool's effectiveness?

Output data, assess the delta between the prediction and actual ad clicks.

Algorithmic patterns, to show the model has a high degree of accuracy.

Input data, to ensure the ads are reaching the target audience.

GPU performance, to evaluate the tool's robustness.

6. You are part of your organization's ML engineering team and notice that the accuracy of a model that was recently deployed into production is deteriorating. What is the best first step address this?

Replace the model with a previous version.

Conduct champion/challenger testing.

Perform an audit of the model.

Run red-teaming exercises.

7. All of the following are reasons to deploy a challenger Al model in addition to a champion Al model EXCEPT to?

Provide a framework to consider alternatives to the champion model.

Automate real-time monitoring of the champion model.

Perform testing on the champion model.

Retrain the champion model.

8. All of the following are included within the scope of post-deployment Al maintenance EXCEPT?

Ensuring that all model components are subject to a control framework.

Dedicating experts to continually monitor the model output.

Evaluating the need for an audit under certain standards.

Defining thresholds to conduct new impact assessments.

9. What is the best method to proactively train an LLM so that there is mathematical proof that no specific piece of training data has more than a negligible effect on the model or its output?

Clustering.

Transfer learning.

Differential privacy.

Data compartmentalization.

10. What is the technique to remove the effects of improperly used data from an ML system?

Data cleansing.

Model inversion.

Data de-duplication.

Model disgorgement.