pmi CPMAI-V7 Exam Questions

Questions for the CPMAI-V7 were updated on : Dec 01 ,2025

Page 1 out of 7. Viewing questions 1-15 out of 100

Question 1

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?

  • A. Unsupervised Learning
  • B. Reinforcement Learning
  • C. Supervised Learning
  • D. All would work equally well
Answer:

B

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Question 2

The team is evaluating where the sources of the data for training are. What phase of CPMAI are they
in?

  • A. Phase I
  • B. Phase II
  • C. Phase III
  • D. Phase IV
  • E. Phase V
  • F. Phase VI
Answer:

B

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Question 3

You're working with petabytes of data and need to make this dataset more manageable. To do this,
you want to reduce the number of variables under consideration.
What is the name for this process?

  • A. Dimensionality Reduction
  • B. Gradient Descent
  • C. Multivariate regression
  • D. Data selection
Answer:

A

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Question 4

A team is retraining a model and creating a new version of that model. What's the most important
thing for the team to have in place before doing this?

  • A. Model operations
  • B. Data operations
  • C. Model discovery
  • D. Model Governance
Answer:

D

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Question 5

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

  • A. Provide a means to have contestability of the algorithm selected
  • B. Provide a means to interpret AI results so that cause and effect can be represented.
  • C. Provide a means to have a different team on the project
  • D. Provide a means to reverse-engineer the algorithm to inspect its performance
Answer:

B

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Question 6

An inexperienced team is training a neural network model on a desktop computer and this is taking a
significant amount of time. What would you recommend to them to speed up model training?

  • A. Train the model over multiple desktop computers
  • B. Train the model on GPUs
  • C. Use a contractor to do the training portion
  • D. Break the dataset up into multiple smaller datasets and train the model on each of the smaller datasets over a desktop computer
Answer:

B

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Question 7

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. Outsource the project ASAP
  • B. Find a citizen data scientist to help
  • C. Put the project on hold until the resources needed become available
  • D. Use an AutoML solution
Answer:

D

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Question 8

Your team is trying to determine which pattern best fits their AI problem. To do this the project team
is running through the seven patterns of AI to figure out what pattern best applies to their problem.
Which of the following is the best approach?

  • A. When in doubt, go with the patterns and anomalies pattern as all AI projects are about pattern matching.
  • B. Determine what you're trying to accomplish and see which pattern(s) of AI fit best.
  • C. Apply every pattern to the project.
  • D. When in doubt, don't apply any pattern of AI.
Answer:

B

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Question 9

An organization is to undertake a multi-pattern AI project. They want to build a robot that is able to
roam the halls as well as converse with employees and answer basic questions.
What is the best approach for handling this project?

  • A. Run each pattern as its own project, with their own CPMAI phase iterations, data requirements, and project needs
  • B. Run each pattern in isolation, with separate teams
  • C. Run it as a hybrid approach and some phases are run separately while other phases are combined together
  • D. Run it as one project, combining teams, data requirements, and project needs
Answer:

C

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Question 10

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

  • A. Phase I
  • B. Phase II
  • C. Phase III
  • D. Phase IV
  • E. Phase V
  • F. Phase VI
Answer:

C

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Question 11

Senior management has tasked your group to analyze a data set to uncover insights into the dat
a. What is the best approach to use to do this?

  • A. Data Governance
  • B. Data Integration
  • C. Data preparation
  • D. Data Mining or Data Analytics
Answer:

D

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Question 12

You have just joined a team and they are working on a new project. The project lead isn't sure what
type of technology should be used on this project - AI or a traditional software development
approach. What is the best way to determine if you have the criteria for a good AI/ML Project?

  • A. Evaluate whether the solution can be done with automation.
  • B. Determine if the project fits within the scope, budget, and timeline set out.
  • C. Determine whether the project has a cognitive technology component and meets a short-term need.
  • D. Determine the long-term need for the organization and build the project to that long-term goal.
Answer:

C

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Question 13

Your team is working on a new project for finding the most optimal flow of warehouse robots on the
warehouse floor. Which type of machine learning approach would be most appropriate to pick for
this problem?

  • A. Reinforcement Learning
  • B. Unsupervised Learning
  • C. Supervised Learning
  • D. All would work equally well
Answer:

A

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Question 14

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?

  • A. Multiclass Classification
  • B. Regression
  • C. Clustering
  • D. Binary (or Binomial) Classification
Answer:

C

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Question 15

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

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