pmi cpmai-v7 practice test

Cognitive Project Management in AI CPMAI v7 - Training & Certification

Last exam update: Nov 18 ,2025
Page 1 out of 7. Viewing questions 1-15 out of 100

Question 1

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?

  • A. They did not have data governance in place
  • B. They did not practice model versioning and keep all versions of the model
  • C. They did not have a model retraining pipeline that took into account models
  • D. They did not practice model iteration and properly iterate on the model
Mark Question:
Answer:

B

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Question 2

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

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

D

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Question 3

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?

  • A. Make sure that you can use Generative AI solutions on an edge device
  • B. Make sure the model lives in a hybrid environment
  • C. Make sure the model is available over a cloud-based API
  • D. Make sure the model lives on the edge device so it can be used regardless of internet connection
Mark Question:
Answer:

D

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Question 4

For AI projects the code and systems don't matter as much as the dat
a. 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?

  • A. Because of almost-infinite storage and compute power, collect as much data as possible and deal with organizing it later.
  • B. Collect enormous amounts of data - the more data the better.
  • C. Understanding which algorithms are best for your data needs.
  • D. Have team members that have experience, understanding of tools, and the ability to deal with massive volumes of data.
Mark Question:
Answer:

C

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Question 5

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?

  • A. Goal Driven Systems
  • B. Predictive Analytics & Decision Support and Patterns and Anomalies
  • C. Recognition Pattern
  • D. Predictive Analytics & Decision Support
Mark Question:
Answer:

D

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Question 6

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?

  • A. Make sure to follow relevant data, privacy, and other important laws both in the US and where you're likely to expand to in the coming year
  • B. Make sure to follow relevant data, privacy, and other important laws as it pertains to NYC
  • C. Make sure to follow relevant data, privacy, and other important laws as it pertains to the United States
  • D. You're too small of an organization to be worried about laws at the moment
Mark Question:
Answer:

A

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Question 7

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?

  • A. Phase I
  • B. Phase II
  • C. Phase III
  • D. Phase IV
  • E. Phase V
  • F. Phase VI
  • G. All phases
  • H. None of the phases
Mark Question:
Answer:

G

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Question 8

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?

  • A. Reinforcement Learning
  • B. Generative AI
  • C. Transfer Learning
  • D. Pre-Trained Models
Mark Question:
Answer:

C

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Question 9

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?

  • A. Pick a simple algorithm such as naive bayes
  • B. Pick a neural network algorithm since you know this works well for supervised learning approaches
  • C. Pick an ensemble method since you're not sure which algorithm will perform best
  • D. Pick a simple algorithm such as Gaussian mixture
Mark Question:
Answer:

A

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Question 10

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?

  • A. First identify the AI pattern you want to use and then figure out the ROI
  • B. First determine the pattern of AI you want to use and then work with stakeholders to come up with ROI
  • C. First identify the objective you're trying to solve or the ROI you desire and then use that to figure out the correct pattern
  • D. First talk to senior managers who set the ROI of the project
Mark Question:
Answer:

C

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Question 11

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?

  • A. Split by patterned subsampling
  • B. Split by random subsampling
  • C. Use the same data for all sets
  • D. Split by alphabetical order
Mark Question:
Answer:

B

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Question 12

You need to hire a data scientist to join your team. What skill sets should you be looking for when
hiring and interviewing this person? (Select all that apply.)

  • A. Prompt engineering skills
  • B. Understanding of tools and technologies for manipulating, collecting, and preparing large data sets
  • C. Critical thinking skills
  • D. Understanding of algorithms
  • E. Automation skills, especially around creating RPA bots
  • F. Strong math skills, especially in calculus and statistics
Mark Question:
Answer:

B, C, D, F

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Question 13

Creating machine learning models can be complicated. Your team wants to use tools called
Automated Machine Learning (AutoML) to simplify the process. You know of another team that has
used AutoML tools and it's saved the team a lot of time.
However, what's the one area you should not have the AutoML tool help with?

  • A. Automatic model assessment
  • B. Iterative modeling and evaluation
  • C. Automatic hyperparameter tuning
  • D. Automatic model selection
  • E. Automatic algorithm selection
Mark Question:
Answer:

D

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Question 14

One of the key elements of a data-centric methodology is the data requirements phase. During
CPMAI Phase II, several unexpected issues have developed and are now threatening the data
collection efforts.
What course of action might make the issue worse?

  • A. See if you can expand the scope to continue with the project
  • B. See if you already have access to enough data to continue with the project
  • C. See if you can adjust the scope of this interaction to continue with the project
  • D. See if you can purchase the data needed to continue with the project
Mark Question:
Answer:

C

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Question 15

You're testing your model and it is overly sensitive to the fluctuations of data and having trouble
generalizing. What type of problem is this?

  • A. You are underfitting the data
  • B. You are overfitting the data
  • C. You have selected the wrong algorithm
  • D. You have selected the wrong data
Mark Question:
Answer:

B

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