Online Access Free AIP-210 Practice Test

A product manager is designing an Artificial Intelligence (AI) solution and wants to do so responsibly, evaluating both positive and negative outcomes.
The team creates a shared taxonomy of potential negative impacts and conducts an assessment along vectors such as severity, impact, frequency, and likelihood.
Which modeling technique does this team use?

• A.Process
• B.Threat
• C.Business
• D.Harms

Which of the following scenarios is an example of entanglement in ML pipelines?

• A.Change in normalization function in the feature engineering step.
• B.Add a new pipeline for retraining the model in the model training step.
• C.Add a new method for drift detection in the model evaluation step.
• D.Change the way output is visualized in the monitoring step.

Which of the following is the definition of accuracy?

• A.True Positives / (True Positives + False Negatives)
• B.True Positives / (True Positives + False Positives)
• C.(True Positives + True Negatives) / Total Predictions
• D.(True Positives + False Positives) / Total Predictions

Which of the following is TRUE about SVM models?

• A.They use the sigmoid function to classify the data points.
• B.They can be used only for regression.
• C.They can take the feature space into higher dimensions to solve the problem.
• D.They can be used only for classification.

Which of the following best describes distributed artificial intelligence?

• A.It intelligently pre-distributes the weight of starting a neural network.
• B.It does not require hyperparemeter tuning because the distributed nature accounts for the bias.
• C.It relies on a distributed system that performs robust computations across a network of unreliable nodes.
• D.It uses a centralized system to speak to decentralized nodes.