CertNexus AIP-210 Actual Free Exam Questions & Community Discussion

What is the primary benefit of the Federated Learning approach to machine learning?

When should the model be retrained in the ML pipeline?

Which of the following describes a benefit of machine learning for solving business problems?

Normalization is the transformation of features:

Which of the following are true about the transform-design pattern for a machine learning pipeline? (Select three.) It aims to separate inputs from features.

You and your team need to process large datasets of images as fast as possible for a machine learning task.
The project will also use a modular framework with extensible code and an active developer community.
Which of the following would BEST meet your needs?

Which two of the following decrease technical debt in ML systems? (Select two.)

Your dependent variable data is a proportion. The observed range of your data is 0.01 to 0.99. The instrument used to generate the dependent variable data is known to generate low quality data for values close to 0 and close to 1. A colleague suggests performing a logit-transformation on the data prior to performing a linear regression. Which of the following is a concern with this approach?
Definition of logit-transformation
If p is the proportion: logit(p)=log(p/(l-p))

Which of the following is a type 1 error in statistical hypothesis testing?

When should you use semi-supervised learning? (Select two.)