Identify Project Resources (e.g., People, Hardware, Contractors) PMI-CPMAI Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   An AI project team is being formed to develop a predictive maintenance system. The project requires building and training machine learning models, deploying them to production, and managing the project. Which set of roles is most appropriate for this team?

   • AData scientist, machine learning engineer, and project manager
   • BNetwork administrator, database administrator, and help desk technician
   • CSales representative, account manager, and customer support specialist
   • DGraphic designer, content writer, and social media manager
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2. 17expert · hard

   A project manager is creating a timeline for an AI project that involves a contractor who is only available for the first four weeks. The project has three phases: data collection, model development, and deployment. The contractor is needed for model development, which requires the data collection to be complete. The deployment phase can be done by internal staff. What is the most critical scheduling constraint?

   • ADeployment must start immediately after data collection, even if model development is not complete.
   • BThe contractor's availability is flexible and can be extended if needed.
   • CModel development must be completed before the contractor leaves, regardless of data collection status.
   • DData collection must be completed within the first four weeks so the contractor can start model development before their availability ends.
   Reveal Solution Discussion Select an answer first
4. 18application · medium

   A financial services firm is starting an AI project to automate document processing. The project requires a commercial ML platform for building and deploying models, as well as a data labeling service to annotate thousands of documents. The firm's procurement department is unfamiliar with AI-specific tools. What is the most effective way for the project manager to coordinate with procurement?

   • AHave the data science team evaluate and select the tools, then inform procurement of the decision.
   • BProvide procurement with a detailed specification of the required capabilities, such as model training, deployment, and data labeling, and ask them to run a competitive bidding process.
   • CLet procurement select the tools based on their existing vendor relationships, since they know the market best.
   • DAsk the IT team to directly purchase the tools without involving procurement, to speed up the process.
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5. 19foundation · easy

   An AI project team is evaluating hardware for a project that will train a model on a large dataset. Which hardware specification is most important to consider for the training phase?

   • ACase fan size
   • BMonitor resolution
   • CGPU memory (VRAM) capacity
   • DKeyboard and mouse type
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6. 20application · medium

   A project manager is developing a timeline for an AI project. The data preparation phase depends on the availability of a data engineer who is currently assigned to another project for the next three weeks. The model training phase cannot start until data preparation is complete. What is the most important consideration when sequencing these tasks?

   • AModel training should start as soon as possible, even if data preparation is incomplete, to save time.
   • BThe timeline should be fixed, and the data engineer should be pulled from the other project to meet the schedule.
   • CThe data preparation phase can be shortened by adding more data engineers, regardless of the current engineer's availability.
   • DThe data engineer's availability determines the start date of data preparation, which in turn affects the start of model training.
   Reveal Solution Discussion Select an answer first