PMI CPMAI_v7 Exam Questions Instant Access

Question 1

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:

AFalse Negative results

BFalse Positive results

CTrue Positive results

DTrue Negative results

Answer : B

Question 2

Your team is running a simulation-based optimization exercise to increase routing efficiency. Learning for this exercise is done through "trial and error".

Which type of machine learning approach is being leveraged for this exercise?

AUnsupervised Learning

BReinforcement Learning

CSupervised Learning

DAll would work equally well

Answer : B

Question 3

Your team is working on a new facial recognition application. Since this technology has the potential to be mis-used you think it's important to set guidelines for the proper use of this application and you want to make sure the AI system is built for some positive purpose.

What area of Trustworthy AI does this best fall under?

ATransparent AI

BGoverned AI

CResponsible AI

DExplainable AI

Answer : C

Question 4

Your team is looking for a short term ROI project and decides that an AI-enabled chatbot will be the project to start with. During Phase I of CPMAI you go through the AI Go/No Go decision chart and realize that you have not answered yes to all the business feasibility questions. You and the team have not determined a clear problem definition.

What's the best course of action with how to proceed?

ADo not move forward and cancel the project altogether.

BCautiously move forward as planned. You do not need to answer yes to all the questions in the AI Go/No Go decision chart to start your project.

CDo not move forward until you can determine a clear problem definition.

DMove forward with the project as planned. The problem definition will become clear later on in the project.

Answer : C

Question 5

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?

ASplit by patterned subsampling

BSplit by random subsampling

CUse the same data for all sets

DSplit by alphabetical order

Answer : B

Question 6

A team has started working on their first AI project and they are running this project like a traditional software development project. About two months into the project the team is hitting some major issues, and you're tasked with coming in to help manage this project. Immediately you realize that AI projects need to be treated like data centric projects.

What's the next best course of action?

ABring in data centric methodology best practices to get this project back on track

BGet the existing team up to speed and make sure existing Agile approaches can support the AI effort

CHire an entirely new team making sure there is at least one data scientist on this new team

DHire an outside consulting firm to handle the technical aspects while you train the team yourself on data centric best practices

Answer : A

Question 7

You are being tasked to manage an AI project at your company and you need to identify which project to start with. What's the best way to approach this?

AGo through all possible scenarios to come up with the perfect first project.

BAsk key stakeholders from your group and find a small problem that would have a big return on investment and start there.

CFind a project that requires 100% accuracy in the results and start with that one.

DAsk key stakeholders from all groups for input about their pain points.

Answer : B

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