PMI CPMAI Online Practice Questions and Exam Preparation

PMI CPMAI Online Questions & Answers

• Question 41:

  Your team is building an AI-powered decision support tool to assist doctors in diagnosing rare diseases. What best describes this system?

  A. Human-out-of-the-loop automation
  B. Augmented Intelligence
  C. Autonomous Intelligence
  D. Robotic Process Automation
  B. Augmented Intelligence

• Question 42:

  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?

  A. Go through all possible scenarios to come up with the perfect first project.
  B. Ask key stakeholders from your group and find a small problem that would have a big return on investment and start there.
  C. Find a project that requires 100% accuracy in the results and start with that one.
  D. Ask key stakeholders from all groups for input about their pain points.
  B. Ask key stakeholders from your group and find a small problem that would have a big return on investment and start there.

• Question 43:

  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?

  A. The "goldilocks" approach
  B. The "less is better" approach
  C. The "more is better" approach
  D. There is no correct approach
  A. The "goldilocks" approach

• Question 44:

  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. Use an AutoML solution
  D. Put the project on hold until the resources needed become available
  C. Use an AutoML solution

• Question 45:

  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?

  A. Phase I
  B. Phase II
  C. Phase III
  D. Phase IV
  E. Phase V
  F. Phase VI
  C. Phase III

• Question 46:

  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 super-resolution to enhance the existing image
  D. Use of Generative Outpainting
  D. Use of Generative Outpainting

• Question 47:

  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 alphabetical order
  B. Split by patterned subsampling
  C. Split by random subsampling
  D. Use the same data for all sets
  D. Use the same data for all sets

• Question 48:

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

• Question 49:

  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?

  A. Governed AI
  B. Transparent AI
  C. Explainable Al
  D. AI Systemic Transparency
  E. Responsible AI
  C. Explainable Al

• Question 50:

  You are tasked with creating a Generative AI solution to automatically draft product descriptions. Which risk management consideration should be addressed first?

  A. Model optimization
  B. Model hallucination and factual accuracy
  C. Hyperparameter tuning
  D. Storage of generated text
  B. Model hallucination and factual accuracy