PMI CPMAI Online Practice Questions and Exam Preparation

PMI CPMAI Online Questions & Answers

• Question 1:

  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?

  A. Move forward without determining which patter of AI this falls under.
  B. Pick an algorithm that seems best suited for the problem and then determine which pattern of AI it is based on the algorithm selected.
  C. 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.
  D. Determine which pattern of AI this project falls under so they can best collect the data needed and skill sets for the team.
  C. 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.

• Question 2:

  A team is getting ready to begin working on a ML project. They need to build a data preparation pipeline and someone on the team suggests they reuse the same pipeline they created for their last project. What's wrong with this suggestion?

  A. Pipelines are model operationalization need specific.
  B. Pipelines are pattern and model need specific.
  C. Pipelines are pattern needs specific so as long as it's the same pattern then you can reuse the pipeline.
  D. There is no issue. Pipelines can be reused as needed between projects
  A. Pipelines are model operationalization need specific.

• Question 3:

  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?

  A. Make sure to follow relevant data, privacy, and other important laws both in the US and where you're like to expand to in the coming year
  B. Make sure to follow relevant data, privacy, and other important laws as it pertains to NYC
  C. Make sure to follow relevant data, privacy, and other important laws as it pertains to the United States
  D. You're too small of an organization to be worried about laws at the moment
  B. Make sure to follow relevant data, privacy, and other important laws as it pertains to NYC

• Question 4:

  An inexperienced team is training a neural network model on a desktop computer and this is taking a significant amount of time. What would you recommend to them to speed up model training?

  A. Train the model over multiple desktop computers
  B. Train the model on GPUs
  C. Use a contractor to do the training portion
  D. Break the dataset up into multiple smaller datasets and train the model on each of the smaller datasets over a desktop computer
  D. Break the dataset up into multiple smaller datasets and train the model on each of the smaller datasets over a desktop computer

• Question 5:

  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? (Choose 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
  B. Privacy Risks

• Question 6:

  You've built your model and now need to see if it actually works as expected. In 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
  B. Phase II

• Question 7:

  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?

  A. Automatic model assessment
  B. Iterative modeling and evaluation
  C. Automatic hyperparameter tuning
  D. Automatic model selection
  E. Automatic algorithm selection
  A. Automatic model assessment

• Question 8:

  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?

  A. Because of almost-infinite storage and compute power, collect as much data as possible and deal with organizing it later.
  B. Collect enormous amounts of data - the more data the better.
  C. Understanding which algorithms are best for your data needs.
  D. Have team members that have experience, understanding of tools, and the ability to deal with massive volumes of data.
  C. Understanding which algorithms are best for your data needs.

• Question 9:

  Your team is looking to develop an RPA bot to help assist call center agents while on providing support. What type of bot should your team be creating?

  A. Augmented Intelligence
  B. Attended bot
  C. RPA is not the right solution to this problem
  D. Unattended bot
  A. Augmented Intelligence

• Question 10:

  You are working for a large multinational organization and have been assigned to a new project. For your new ML project, you need to make sure you're managing data privacy and security as you're working with sensitive customer data. What critical security issues do you need to make sure you address? (Choose all that apply.)

  A. Compliance with Data Privacy Laws even if they are out of your physical jurisdiction
  B. Securing model data and metadata
  C. Securing data at rest
  D. Securely storing all data collected for training purposes
  A. Compliance with Data Privacy Laws even if they are out of your physical jurisdiction
  B. Securing model data and metadata
  C. Securing data at rest
  D. Securely storing all data collected for training purposes