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PMI CPMAI_v7 Exam Questions

PMI CPMAI_v7 Exam Questions Answers

Cognitive Project Management in AI CPMAI v7 - Training & Certification

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PMI CPMAI_v7 Practice Test Questions ( Updated) – Real Exam Questions & Dumps PDF

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PMI CPMAI_v7 Sample Questions – Free Practice Test & Real Exam Prep

Question #1

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 
Answer: G
Question #2

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?

  •  A. Research what Third-Party Models are available and purchase them to keep the project moving 
  • B. Do not move forward with the project 
  • C. Ask your customer service team to generate additional data for you to use for the project 
  • D. Use the data that you have and keep the project moving 
Answer: A
Question #3

Your team has built a new robot that roams the halls at your organization and helps with various things such as small deliveries. However, you notice that many employees are opting not to use the robot. When you ask them why they tell you that the robot looks “creepy” and they would rather not interact with it. What’s going on here? 

  • A. Lack of understanding the robot’s usefulness 
  • B. The bot is falling into The “Uncanny Valley” 
  • C. Bias towards the robot 
  • D. Safety and reliability issues that impact bot usefulness 
Answer: B
Question #4

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.) 

  • A. Data Sharing challenges 
  • B. Privacy Risks 
  • C. Data Quantity Issues 
  • D. Change Management Issues 
  • E. Security Risks 
  • F. Data Quality Issues 
  • G. Business Risks 
Answer: A,B,E,F
Question #5

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  
Question #6

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? 

  • A. K Nearest Neighbor 
  • B. K-means 
  • C. Neural Network 
  • D. Hyperpersonalization 
Answer: A
Question #7

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: 

  • A. Decide if it’s a statistics pattern. If it’s statistical then go with the AI project.
  •  B. Decide if it’s probabilistic or deterministic patterns. If it’s deterministic then go with the AI project. 
  • C. See if simple rules work. If yes, then pick the right AI solution to solve the problem. 
  • D. Decide if it’s probabilistic or deterministic patterns. If it’s probabilistic then go with the AI project. 
Answer: D
Question #8

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? 

  • A. Do not move forward and cancel the project altogether. 
  • B. Cautiously move forward as planned. You do not need to answer yes to all the questions in the AI Go/No Go decision chart to start your project. 
  • C. Do not move forward until you can determine a clear problem definition. 
  • D. Move forward with the project as planned. The problem definition will become clear later on in the project. 
Answer: C
Question #9

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? 

  • A. Prompt engineering for new image generation 
  • B. Use of inpainting to replace image components 
  • C. Use of superresolution to enhance the existing image 
  • D. Use of Generative Outpainting 
Answer: D
Question #10

You have an Anomaly Detection project you’re working on and you need a simple approach of clustering data into classified groups. Which algorithm is the best choice given this situation? 

  • A. K-Means Clustering
  •  B. Neural Network 
  • C. Decision Tree 
  • D. Hidden Markov Model 
Answer: A
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