[Dec 30, 2025] CPMAI_v7 Free Exam Questions with Quality Guaranteed [Q56-Q77]

NEW QUESTION 56
In order for Supervised Learning approaches to work, they must be fed clean, well-labeled data that the system can use to learn from examples. But how do you get Labeled Data?
As a team leader at a small startup, what approach would not be beneficial when trying to gather labeled data?

Contract with Third Party Data Labeling Firms

Hire a Contractor Workforce

Get your Users to Do it

Find a source of already labeled data

NEW QUESTION 57
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?

You are underfitting the data

You are overfitting the data

You have selected the wrong algorithm

You have selected the wrong data

NEW QUESTION 58
Your team is testing the NLP model they just created to make sure it’s performing as expected. Some of your team members want to move this model to production and move to the next iteration.
What’s wrong with this workflow?

You need to make sure the AI Go/No Go questions have been addressed

Nothing is wrong with this workflow. You can move to the next iteration

Team members should not be able to move to new projects until senior management signs off

Model Evaluation requires continuous model evaluation, retraining, and operationalization

NEW QUESTION 59
You are establishing the data requirements for the project. Which of the following tasks is the least likely to impact data requirements?

The quality of the data you collect

The makeup of your data team

The volume of the data you collect

The location/source of your data collection

NEW QUESTION 60
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?

Outsource the project ASAP

Find a citizen data scientist to help

Put the project on hold until the resources needed become available

Use an AutoML solution

NEW QUESTION 61
You’re in charge of marketing at your organization and you’ve been tasked with using AI to help create marketing images. What’s a good solution for this need?

Generative AI solutions for content generation

Image and object detection and recognition systems

Autonomous patterns and process automation

Decision tree and Random Forest approaches

NEW QUESTION 62
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:

False Negative results

False Positive results

True Positive results

True Negative results

NEW QUESTION 63
You’re creating an AI-enabled chatbot that is going to access user data. What areas related to data governance do you need to make sure you’re addressing? (Select all that apply.)

Data Sharing challenges

Privacy Risks

Data Quantity Issues

Change Management Issues

Security Risks

Data Quality Issues

Business Risks

NEW QUESTION 64
Your team is working on a new loan decision model that takes a number of factors and data points into consideration and then automatically approves or denies a loan. After a month in operation someone does a review and notices that the system is denying a large number of loans from a certain demographic when all other factors from people in other regions (such as age, salary, and credit score) are the same.
What is most likely happening here?

Biased data sets leading to algorithmic discrimination

Generative AI models hallucinating data results

Nothing is wrong, algorithmic decisions will never be 100%

Data privacy issues leading to data sharing concerns

NEW QUESTION 65
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?

They did not have data governance in place

They did not practice model versioning and keep all versions of the model

They did not have a model retraining pipeline that took into account models

They did not practice model iteration and properly iterate on the model

NEW QUESTION 66
You are leading a project to develop a new predictive maintenance solution. Together with your project team you determine your data needs, see if you have access to the data, and then begin working on the project.
Which phase best describes the work you are performing?

Phase I

Phase II

Phase III

Phase IV

Phase V

Phase VI

NEW QUESTION 67
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?

See if you can expand the scope to continue with the project

See if you already have access to enough data to continue with the project

See if you can adjust the scope of this interaction to continue with the project

See if you can purchase the data needed to continue with the project

NEW QUESTION 68
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?

Pick a simple algorithm such as naive bayes

Pick a neural network algorithm since you know this works well for supervised learning approaches

Pick an ensemble method since you’re not sure which algorithm will perform best

Pick a simple algorithm such as Gaussian mixture

NEW QUESTION 69
Your organization has just rolled out a new image recognition system and is asking all employees to use it. It was trained using images from the ImageNet test set. After a few weeks, users are finding the results are not as expected and are asking for visibility into all the aspects of what went into building an AI system. What area of Trustworthy AI is being addressed here?

Governed AI

Transparent AI

Explainable AI

AI Systemic Transparency

Responsible AI

NEW QUESTION 70
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?

Phase I

Phase II

Phase III

Phase IV

Phase V

Phase VI

All phases

None of the phases

NEW QUESTION 71
You have been tasked with creating a model that will recommend products based on what other customers have similarly purchased. Which algorithm is the best choice given this situation?

K Nearest Neighbor

K-means

Neural Network

Hyperpersonalization

NEW QUESTION 72
Your team is working on an image recognition system to help identify plants. They have collected a large amount of data but need to get this data labeled.
Which phase of CPMAI is this done?

Phase I

Phase II

Phase III

Phase IV

Phase V

Phase VI

NEW QUESTION 73
Your team is using a neural network algorithm to generate a Machine Learning Model. What specific artifacts need to be included? (Select all that apply.)

The algorithm code

Supporting training data

Bias-variance tradeoff

Hyperparameter settings

NEW QUESTION 74
You are working on the data engineering pipeline for the AI project and you want to make sure to address the creation of pipelines to deal with model iteration. What part of the pipeline best deals with this step?

Data Acquisition / Ingest / Capture

Retraining Pipelines

Feature Engineering

ELT Pipeline

NEW QUESTION 75
Your team is planning an AI-enabled chatbot project to help reduce call center load. They are currently determining if the project can get off the ground and working through the AI Go/No Go feasibility questions.
What stage of CPMAI is the team currently working on?

Phase I

Phase II

Phase III

Phase IV

Phase V

Phase VI

NEW QUESTION 76
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?

Run each pattern as its own project, with their own CPMAI phase iterations, data requirements, and project needs

Run each pattern in isolation, with separate teams

Run it as a hybrid approach and some phases are run separately while other phases are combined together

Run it as one project, combining teams, data requirements, and project needs

NEW QUESTION 77
You’re looking to take an image and have a Generative AI solution generate additional content beyond the bounds of the current image size. What Generative AI approach can you use?

Prompt engineering for new image generation

Use of inpainting to replace image components

Use of super#resolution to enhance the existing image

Use of Generative Outpainting

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