PMI Cognitive Project Management in AI CPMAI v7 - Training & Certification CPMAI_v7 Exam Practice Test

The confusion matrix measures how the algorithm performs for a binary classification activity. As your team is running tests to evaluate model performance, they are seeing the model is incorrectly categorizing flowers as trees.

Your model is provided the following:

Your team is working on an NLP model and has just operationalized the first model. Your team makes updates to the model, overwrites the original model, and puts this new model into operation. However, one of the teams using the model has seen a decrease in performance and is asking to use the original model.

What critical error did your team make?

You are working for a large multinational organization and have been assigned to a new project. For your new ML project you need to make sure you're managing data privacy and security as you're working with sensitive customer data.

What critical security issues do you need to make sure you address (Select all that apply.):

Clean, well-labeled datasets used for machine learning are partitioned into three subsets: Training sets, Validation sets, and Test sets. As your team is doing this, what's the best way to split up this data?

Your team was given a large dataset and has been tasked with organizing the data by type to make better insights from the results. You are facing problems with the approach that the previous project lead used which was a regression algorithm.

What type of algorithm is the best approach for this project?

In the case that an algorithm you want to use isn't algorithmically explainable, AI systems should try to do the following:

Upper management is looking to roll out a new product and wants to see if there are any patterns and insights that can be discovered from customer dat

a. Your team has been tasked to discover these potential patterns and structures within this data.

Which type of machine learning approach would be most appropriate to pick for this problem?