Cognitive Project Management in AI (PMI-CPMAI) (CPMAI) Free Practice Test

Question 1

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.):

A. Securing data at rest

B. Compliance with Data Privacy Laws even if they are out of your physical jurisdiction

C. Securing model data and metadata

D. Securely storing all data collected for training purposes

Correct Answer: A,B,C,D

Question 2

Your team is tasked with selecting an algorithm for a supervised learning classification project.
Which algorithm might you choose?

A. K-nearest neighbor

B. Gaussian mixture

C. K-means

D. Q learning

Correct Answer: A

Question 3

Your team is working on an AI-enabled chatbot to be placed on the website. The goal of the chatbot is to be able to answer questions 24/7 to service clients around the globe. When evaluating your data you realize you don't have enough data to train the model.
What's the best course of action?

A. Research what Third-Party Models are available and purchase them to keep the project moving

B. Use the data that you have and keep the project moving

C. Do not move forward with the project

D. Ask your customer service team to generate additional data for you to use for the project

Correct Answer: A

Question 4

You're working with a small inexperienced team on a new ML project. Choosing the best algorithm with the best settings given the training and test data is proving to be very hard for them. You lack the critical data science resources available on your team, and can't wait weeks until a data science resource becomes available to join your team.
What's your best course of action?

A. Use an AutoML solution

B. Outsource the project ASAP

C. Find a citizen data scientist to help

D. Put the project on hold until the resources needed become available

Correct Answer: A

Question 5

Your model is going to be used for continuous monitoring of machinery, with need for continuous, instant model predictions. What's the most appropriate Model Operationalization approach?

A. Web service / Microservice

B. Batch prediction

C. Real-time prediction

D. Stream learning

Correct Answer: C

Question 6

A project manager is reviewing the performance of an AI model used for predictive analytics in sales. The model's accuracy is within acceptable limits; however, its precision is low.
What is the cause for the precision issue?

A. The training data is unbalanced

B. The model is underfitting the validation data

C. The feature selection process is flawed

D. The model is overfitting the training data

Correct Answer: A

Question 7

You are establishing the data requirements for the project. Which of the following tasks is the least likely to impact data requirements?

A. The quality of the data you collect

B. The makeup of your data team

C. The location/source of your data collection

D. The volume of the data you collect

Correct Answer: A

Question 8

A team is getting ready to begin working on a ML project. They need to build a data preparation pipeline and someone on the team suggests they reuse the same pipeline they created for their last project.
What's wrong with this suggestion?

A. Pipelines are model operationalization need specific.

B. There is no issue. Pipelines can be reused as needed between projects.

C. Pipelines are pattern needs specific so as long as it's the same pattern then you can reuse the pipeline.

D. Pipelines are pattern and model need specific.

Correct Answer: D

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PMI Cognitive Project Management in AI (PMI-CPMAI) (CPMAI) Free Practice Test