IBM Certification IBM Watson AI & Machine Learning 3

Question 1

What is AutoAI in IBM Watson Studio?

Accepted Answer

An automated machine learning feature that prepares data, selects algorithms, and tunes hyperparameters

Answer

AutoAI automatically prepares data, selects the best ML algorithms, and optimizes hyperparameters to generate ranked model pipelines.

Question 2

In Watson Machine Learning, what is the purpose of a 'scoring endpoint'?

Accepted Answer

To provide a REST API URL that accepts input data and returns model predictions

Answer

A scoring endpoint is the REST API URL exposed by a deployed Watson Machine Learning model, used to send input data and receive real-time predictions.

Question 3

Which open-source toolkit, developed by IBM, helps detect and mitigate bias in AI datasets and models?

Accepted Answer

AI Fairness 360

Answer

AI Fairness 360 (AIF360) is an open-source Python toolkit developed by IBM Research to detect, understand, and mitigate algorithmic bias.

Question 4

What does 'model drift' mean in the context of Watson OpenScale monitoring?

Accepted Answer

The model's prediction accuracy degrades over time as real-world data patterns change

Answer

Model drift occurs when a deployed model's performance degrades because the statistical properties of the live input data diverge from the training data.

Question 5

What type of connection does IBM Watson Studio use to access data stored in IBM Cloud Object Storage?

Accepted Answer

Connected data asset via a project connection

Answer

Watson Studio accesses IBM Cloud Object Storage data through connected data assets, which are configured as project-level connections.

IBM Certification Practice Test

IBM Certification Practice Test

IBM Certification IBM Watson AI & Machine Learning 3