Cognitive Project Management in AI (CPMAI) v7 Certification CPMAI_v7 Dumps (V8.02): Help You Make Preparations

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?

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

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?

4. For AI projects the code and systems don't matter as much as the data. 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?

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?

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?

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?

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?

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?

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?

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?

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.)

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?

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?

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?

16. Major factors for the project you are currently working on is around the training time, cost, and complexity of training your models.

Which algorithm is not the best choice given these constraints?

17. 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?

18. Your team is looking to develop an RPA bot to help with back-office processes such as data entry.

What type of bot should your team be creating?

19. The growth of Big Data has led to a desire to be able to do more to process and extract more value from Big Data. Simply storing data and providing analytics is no longer enough anymore to remain competitive.

To keep your organization competitive, you need to:

20. During CPMAI Phase II, it's important to not only understand the sources of your data but also what data is required for training as well as identifying the features that are required.

When looking to gather data, what approach is best when determining how much data you need?

21. Your team is looking for a short term ROI project and decides that an AI-enabled chatbot will be the

project to start with. During Phase I of CPMAI you go through the AI Go/No Go decision chart and

realize that you have not answered yes to all the business feasibility questions. You and the team

have not determined a clear problem definition.

What's the best course of action with how to proceed?

22. Your model is going to be used for continuous monitoring of machinery, with need for continuous, instant model predictions.

What's the most appropriate Model Operationalization approach?

23. 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?

24. 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?

25. 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?

26. When building your model you need to make sure you're not only checking for performance and making sure the model is giving the expected results. You also need to make sure the model is accomplishing the business objective.

At what phase of CPMAI is this most appropriate to do this?

27. 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?

28. 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?

29. 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?

30. Your company is insisting on running an automation project and applying AI best practices and methodologies to the project. You understand that automating things is just the act of using machines to repeat tasks, and does not require AI to achieve results. You think it is overkill but the project moves forward as planned.

What would likely have helped avoid this conflict?

31. You're being told by upper management that you need to manage a new AI project. You need to determine the AI project fit to make sure you're actually solving a real business problem.

During phase I: Business Understanding, you should consider at least one of the following (Select all that apply):

32. You're working on a computer vision application and realize that you do not have enough real world data for the project. You need additional data created to support your training needs. Specifically, the images you need are of people in different poses.

What is the best way to obtain this data?

33. You have been brought on to manage a recognition project, specifically an image recognition project, for an Autonomous Retail application. You know that you need to make sure you have sufficient data for this project.

What's the best way to approach this?

34. 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.)

35. Use cognitive technologies/AI when you can't code the rules or you can't scale easily with people or automation.

As a good rule of thumb when deciding if AI is right for the project you should:

36. Your team is tasked with selecting an algorithm for a supervised learning classification project.

Which algorithm might you choose?

37. When looking to implement AI to help break the Digital Transformation logjam, it's important to:

38. 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?

39. 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?

40. 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.)