Exit demo CPMAI Cognitive Project Management in AI CPMAI v7 - Training & Certification PDF format · free preview

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PMI CPMAI - Questions & Answers

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Question 1

Single choice

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?

They did not have data governance in place

They did not practice model versioning and keep all versions of the model

They did not have a model retraining pipeline that took into account models

They did not practice model iteration and properly iterate on the model

Question 2

Single choice

Enhancing and cleaning data is an important action during which phase of CPMAI?

Phase VI

Phase I

Phase V

Phase III

Phase II

Phase IV

Question 3

Single choice

Your team is ready to operationalize the model they have been working on. It's a model that is meant to be used on an "edge device", specifically a mobile phone and the user may sometimes be in remote locations without regular access to the internet.

What's the most important thing to consider here?

Make sure that you can use Generative AI solutions on an edge device

Make sure the model lives in a hybrid environment

Make sure the model is available over a cloud-based API

Make sure the model lives on the edge device so it can be used regardless of internet connection

Question 4

Single choice

For AI projects the code and systems don't matter as much as the data. In fact, big data is what's powering much of this latest wave of AI.

What's most important for your company to consider around data?

Because of almost-infinite storage and compute power, collect as much data as possible and deal with organizing it later.

Collect enormous amounts of data - the more data the better.

Understanding which algorithms are best for your data needs.

Have team members that have experience, understanding of tools, and the ability to deal with massive volumes of data.

Question 5

Single choice

Using machine learning and other cognitive approaches to understand how to take past / existing behavior and predict future outcomes or help humans make decisions about future outcomes using insight learned from past behavior / interactions / data is a core part to which pattern(s) of AI?

Goal Driven Systems

Predictive Analytics & Decision Support and Patterns and Anomalies

Recognition Pattern

Predictive Analytics & Decision Support

Question 6

Single choice

As an organization building an AI solution for your current customers based in NYC, but with possible plans for future expansion, how should you handle worldwide AI laws and regulations?

Make sure to follow relevant data, privacy, and other important laws both in the US and where you're like to expand to in the coming year

Make sure to follow relevant data, privacy, and other important laws as it pertains to NYC

Make sure to follow relevant data, privacy, and other important laws as it pertains to the United States

You're too small of an organization to be worried about laws at the moment

Question 7

Single choice

Your team is starting a new facial recognition project and you want to ensure that the project is being done with Trustworthy AI in mind.
At what phase of CPMAI would Trustworthy AI be considered?

Phase I

Phase II

Phase III

Phase IV

Phase V

Phase VI

All phases

None of the phases

Question 8

Single choice

You recently completed an image recognition project at your company that was focused on identifying different types of cars. You have now been assigned a new image recognition project that is focused on identifying different types of animals. You know you can shortcut model development by using a specific technique.

What is this technique called?

Reinforcement Learning

Generative AI

Transfer Learning

Pre-Trained Models

Question 9

Single choice

You're working with an inexperienced team and this is all their first AI project. You're trying to work on a supervised learning binary classification problem to determine if emails are spam or not.

What is the best approach for this project?

Pick a simple algorithm such a naive bayes

Pick a neural network algorithm since you know this works well for supervised learning approaches

Pick an ensemble method since you're not sure which algorithm will perform best

Pick a simple algorithm such as Gaussian mixture

Question 10

Single choice

Your team is working on an AI system to provide a more personalized experience for customers on your website.

What should the team do in regard to determining the pattern of AI with regards to the ROI of the project?

First identify the AI pattern you want to use and then figure out the ROI

First determine the pattern of AI you want to use and then work with stakeholders to come up with ROI

First identify the objective you're trying to solve or the ROI you desire and then use that to figure out that correct pattern

First talk to senior managers who set the ROI of the project

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