Test Online CPMAI_v7 Dumps Questions to Be Certified

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To help prepare for the CPMAI_v7 exam, you may want to consider using CPMAI_v7 exam dumps questions. These questions are designed to test your knowledge and understanding of the topics covered on the exam. The more you practice answering CPMAI_v7 dumps questions, the more comfortable you will become with the exam format and the types of questions you can expect to see. CPMAI_v7 dumps can help reduce anxiety on exam day and improve your chances of success. Go and test free CPMAI_v7 exam dumps questions here.

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1. 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

2. Leadership wants a new HR system built that will better handle potential candidate matching. The project manager assigned to this project believes that the project is well-suited for AI, however they are unsure which pattern of AI this would be.

What should the project manager do?

Move forward without determining which pattern of AI this falls under.

Pick an algorithm that seems best suited for the problem and then determine which pattern of AI it is based on the algorithm selected.

Conduct a straw poll with stakeholders to determine which pattern of AI this project falls under so they can best collect the data needed and skill sets for the team.

Determine which pattern of AI this project falls under so they can best collect the data needed and skill sets for the team.

3. You are being tasked to manage an AI project at your company and you need to identify which project to start with.

What's the best way to approach this?

Go through all possible scenarios to come up with the perfect first project.

Ask key stakeholders from your group and find a small problem that would have a big return on investment and start there.

Find a project that requires 100% accuracy in the results and start with that one.

Ask key stakeholders from all groups for input about their pain points.

4. 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?

Unsupervised Learning

Reinforcement Learning

Supervised Learning

All would work equally well

5. In what way would you be using Generative AI if you used the results of the Generative AI solution to improve and accelerate your job?

Used for Hyperpersonalization

As an autonomous system removing the human from the loop

As an Augmented Intelligence system

As a programmatic approach for automation

6. You're running an image recognition project and realize that you do not have enough data of a certain type of vehicle.

What is the best course of action to get the additional labeled data you need?

Purchase the data from a third party

Perform Data Transformation & Multiplication

Perform Data Sampling

Perform Data Anonymization

7. 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?

Feature Engineering

Data Acquisition / Ingest / Capture

ELT pipeline

Retraining Pipelines

8. 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

9. 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?

First identify the AI pattern you want to use and then figure out the ROI

First determine the pattern of AI you want to use and then work with stakeholders to come up with ROI

First identify the objective you're trying to solve or the ROI you desire and then use that to figure out the correct pattern

First talk to senior managers who set the ROI of the project

10. 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?

Reinforcement Learning

Unsupervised Learning

Supervised Learning

All would work equally well

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11. As the project manager, you are leading a brainstorming session with key stakeholders around a new Hyperpersonalization project.

What's a key feature for this project that should happen to ensure success?

Develop a unique profile of each individual, and have that profile learn and adapt over time for a wide variety of purposes

Develop a unique profile of each individual, and manually update that profile over time for a wide variety of purposes

Develop a unique profile of each individual, and having that profile both learn and adapt over time as well as be programmed for a wide variety of purposes

Develop a unique profile of each type of individual, and have that profile stay the same over the lifetime of that user

12. 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

13. You have been receiving customer data for the past six months. However recently you notice that this data has drastically changed due to the upcoming holiday season.

What seems to be taking place?

Lack of stakeholder support

An incomplete milestone list

Data Drift

Model Drift

14. You just joined a new company and they want to start their first AI project. Senior management thinks the best approach is to just buy AI from a vendor. You know that AI is something you do, not something you buy.

What is your next best course of action to address this?

Share prior experiences with how your last team addressed this problem and how you solved it

Help senior management do research on AI vendors

Share prior experiences with how your last team addressed this problem and their data quality issues

Say nothing and let the team figure it out for themselves

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

Phase VI

Phase I

Phase V

Phase III

Phase II

Phase IV

16. During CPMAI Phase II of your project, your team is going through their data collection needs. One team member wants to make use of pre-trained models while another member is adamantly against it.

As the project lead, what should you do?

Evaluate your data and use only what you have and build all models in house.

Evaluate your data and see if using pre-trained models make sense. If so, have the team see what pre-trained models your company already owns and use those.

Evaluate your data and see if using pre-trained models make sense. If so, have the team do research to find the ones that best suit your project.

Have one team build all models in-house and the other team use pre-trained models and see which team's models perform better.

17. You've built your model and now need to see if it actually works as expected. In which phase of CPMAI is this done?

Phase I

Phase II

Phase III

Phase IV

Phase V

Phase VI

18. Recently your company has been getting a large number of spam emails and some employees have been clicking on these suspicious emails causing a headache for IT. The head of IT wants to create a more robust spam filter and your team has been tasked with this project.

What type of algorithm would you select for this problem?

Clustering

Regression

Binary (or Binomial) Classification

Multiclass Classification

19. 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?

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

20. A team has started working on their first AI project and they are running this project like a traditional software development project. About two months into the project the team is hitting some major issues, and you're tasked with coming in to help manage this project. Immediately you realize that AI projects need to be treated like data centric projects.

What's the next best course of action?

Bring in data centric methodology best practices to get this project back on track

Get the existing team up to speed and make sure existing Agile approaches can support the AI effort

Hire an entirely new team making sure there is at least one data scientist on this new team

Hire an outside consulting firm to handle the technical aspects while you train the team yourself on data centric best practices

Page 3 of 3

21. 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

22. During which phase of an AI project should you consider Trustworthy AI considerations?

Phase I: Business Understanding

Phase II: Data Understanding

Phase VI: Model Operationalization

Every Phase of the AI project

23. Your model has been working fine for the last three months, however recently you notice the model's performance has greatly declined.

What seems to have been overlooked in your workflow pipeline?

Model retraining

Model Operationalization

Model Drift

Model reevaluation

24. You want to make sure that in your HR hiring system that applicants have the ability to contest the result. In what layer of the Trustworthy AI framework do we address this need?

Responsible AI

Ethical AI

Transparent AI

Explainable AI

Governed AI

25. 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?

When in doubt, go with the patterns and anomalies pattern as all AI projects are about pattern matching.

Determine what you're trying to accomplish and see which pattern(s) of AI fit best.

Apply every pattern to the project.

When in doubt, don't apply any pattern of A

26. 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?

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

Do not move forward with the project

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

Use the data that you have and keep the project moving

27. 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?

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

Make sure to follow relevant data, privacy, and other important laws as it pertains to NYC

Make sure to follow relevant data, privacy, and other important laws as it pertains to the United States

You're too small of an organization to be worried about laws at the moment

28. 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

29. You want to create a model to figure out if a customer would be likely to repurchase a certain item. The project owner doesn't want you to create anything too complicated, and you have a limited data set to work with.

Which algorithm is the best choice given these constraints?

Ensemble models

Naive Bayes

Neural Networks

Generative AI

30. Your organization wants to keep an eye on AI systems for Governance purposes.

What are the most crucial things to consider? (Select all that apply.)

Vendor procurement methods

AI System testing requirements

Continuous System monitoring

Data source identification

Algorithm selection

Human chain of accountability

Key Performance Indicators (KPIs)

ROI determination

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