Free PMI CPMAI Exam Questions

Question 1

Your team has collected petabytes of data for your AI project. As the project lead, you understand this is too much data to use for this iteration of the project. What is the best course of action to take with this data?

A : Data selection and attribute pruning to reduce overall size and data complexity.

B : Data Deduping to reduce overall size and data complexity.

C : Data integration focused on reducing the number of data sources.

D : Careful algorithm selection that reduces the need for data.

Answer: A

Question 2

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?

A : Transparent AI

B : Governed AI

C : Responsible AI

D : Explainable AI

Answer: C

Question 3

Your team has collected petabytes of data for your AI project. As the project lead, you understand this is too much data to use for this iteration of the project. What is the best course of action to take with this data?

A : Data selection and attribute pruning to reduce overall size and data complexity.

B : Data Deduping to reduce overall size and data complexity.

C : Data integration focused on reducing the number of data sources.

D : Careful algorithm selection that reduces the need for data.

Answer: A

Question 4

You're working on a project and are working with personally identifiable information (PII). What's the best approach to take when it comes to collecting and using this data?

A : Use noise reduction techniques to reduce all forms of data noise

B : Implement a new data privacy policy

C : Store the data in a data warehouse

D : If this data is not needed, use Data anonymization techniques to remove it before feeding to models

Answer: D

Question 5

Your team has collected petabytes of data for your AI project. As the project lead, you understand this is too much data to use for this iteration of the project. What is the best course of action to take with this data?

A : Data selection and attribute pruning to reduce overall size and data complexity.

B : Data Deduping to reduce overall size and data complexity.

C : Data integration focused on reducing the number of data sources.

D : Careful algorithm selection that reduces the need for data.

Answer: A