CPMAI Practice Test

CPMAI Practice Test practice questions, page 11 of 12, with answer review and explanations.

Question 51

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?

  1. Pipelines are model operationalization need specific.
  2. Pipelines are pattern and model need specific.
  3. Pipelines are pattern needs specific so as long as it’s the same pattern then you can reuse the pipeline.
  4. There is no issue. Pipelines can be reused as needed between projects

Question 52

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?

  1. Evaluate your data and use only what you have and build all models in house.
  2. 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
  3. 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.
  4. Have one team build all models in-house and the other team use pre-trained models and see which team’s models perform better.

Question 53

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?

  1. Bring in data centric methodology best practices to get this project back on track
  2. Get the existing team up to speed and make sure existing Agile approaches can support the AI effort
  3. Hire an entirely new team making sure there is at least one data scientist on this centrteam
  4. Hire an outside consulting firm to handle the technical aspects while you train the team yourself on data centric best practices

Question 54

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.)

  1. Compliance with Data Privacy Laws even if they are out of your physical jurisdiction
  2. Securing model data and metadata
  3. Securing data at rest
  4. Securely storing all data collected for training purposes

Question 55

You are establishing the data requirements for the project. Which of the following tasks is the least likely to impact data requirements?

  1. The quality of the data you collect
  2. The makeup of your data team
  3. The volume of the data you collect
  4. The location/source of your data collection